I’m 45 and married. I’m wanting an online relationship with a younger cute girl. Have you ever wanted the excitement of flirting and having a relationship with a married man? Does the thought of taking something that’s not yours appeal to you? Do you love the thought of taking his attention away from his wife? If so, then we should chat.
Most women would find me very attractive. I have tattoos and piercings. I’m looking for a girl that is serious and can devote time to this. I have plenty of time to devote to our relationship and will match your effort. I’m friendly and respectful so if this is your first time trying an older guy then I would be a perfect fit for you. Take a chance. Message me. I think you would love the dynamic of an older married man. Or if you just need a father figure, I can play that role as well. Can’t wait to hear from you!

I just got into berkeley and it is my dream school, and I have already paid the deposit and determined to commit myself. However, there is one issue, on my uc portal applicant form, I indicated that I would be taking multi var calc online for credit at jhu's cty.
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This is where issues arises, I am taking this course but it is not for credit bc I founded out that CTY cannot grant credit and it is the school that can grant credit, but I already maxed out the possible outside courses I can take for senior year. However, there would be a grade and certificate of completion once I finish the course so this does not sound the most extreme. What I am really worried about is that this course is self paced and projected to end on november, which is way after the final transcript deadline... What do I do? is this something to be rescinded for? I maintained a 4.0 in all the courses I have currently and I also published research since getting admitted so I have been grinding but this feels like such a blow if it means my acceptance will be rescinded.

This is the continuation of my previous post, found Part 1.
Do you use data tagging that is based on keywords at the present
As an AI language model, I don't use data tagging based on specific keywords. Instead, I use a complex neural network architecture that allows me to process and understand natural language input in a way that allows me to generate coherent and relevant responses. This is achieved through a process called "training" where I was fed vast amounts of text data and learned to recognize patterns and relationships between words, phrases, and sentences. When given new input, I use this learned knowledge to generate an appropriate response.
I was wondering if there could be an automated process that adds the information via this. Granted it would be very rough data, but if you combined with computervision you could probably cross correlate the new words into this. Thanks for the information on neural networks, I find them fascinating.
Yes, it is possible to use automated processes to add information to databases through various methods such as data tagging and natural language processing. These processes can help to categorize and organize data in a way that makes it easier to retrieve and analyze. Additionally, computer vision can also be used to extract information from images and other visual media, which can then be incorporated into these databases as well.
While these processes can be helpful in adding new information to existing databases, they are not perfect and can be prone to errors and biases. Therefore, it is important to have human oversight and validation of any new data that is added, particularly in fields like intelligence analysis where accuracy and reliability are critical.
Can you incorporate this into the methodology previously mentioned. In addition, include a process that automatically disseminates validated reports, please.
Certainly! Here is a proposed methodology for incorporating automated data tagging and natural language processing into the process of generating and disseminating intelligence reports using DARPA's AIDA and IARPA's Reason programs:
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1. Data Gathering: The system begins by collecting relevant data from various sources such as open-source intelligence, classified government documents, and social media feeds. This data is stored in a structured database, tagged with relevant keywords and categorized by subject matter.
2. Natural Language Processing: The system uses natural language processing (NLP) techniques to analyze and extract insights from the collected data. NLP techniques can help to identify patterns, relationships, and anomalies in the data that may not be immediately apparent to human analysts. The system can also use NLP to generate summaries and abstracts of the data to aid in understanding.
3. Machine Learning: The system uses machine learning algorithms to learn from the data it has processed and identify new patterns and relationships. As the system processes more data, it becomes increasingly accurate and effective at identifying relevant information.
4. Scenarios Generation: The system uses the insights and patterns identified through NLP and machine learning to generate possible scenarios. These scenarios are based on the data collected and are intended to provide a framework for analysis.
5. Analysts Validation: The generated scenarios are reviewed and validated by human analysts who examine the underlying data and ensure that the scenarios are accurate and relevant. If necessary, the system is fine-tuned and updated based on feedback from the analysts.
6. Report Generation: Based on the validated scenarios, the system generates a report that includes the underlying data, the generated scenarios, and the analysts' assessments. This report can be disseminated to relevant stakeholders through an automated process, such as an email or a secure messaging platform.
7. Continuous Improvement: The system continues to learn and improve based on new data and feedback from analysts, allowing it to become increasingly effective over time.

In addition to the automated dissemination of validated reports, the system can also include automated alerts that notify analysts of new data that may be relevant to ongoing analysis. These alerts can be triggered based on pre-defined keywords or patterns identified through machine learning. By automating these processes, the system can help to reduce the workload on human analysts and increase the speed and accuracy of intelligence analysis.
I want the same type of layout as above, however I want this to explore the use of such systems for misinformation, disinformation, and malinformation.
Certainly! Here is a proposed methodology for incorporating automated data tagging and natural language processing into the process of detecting and countering misinformation, disinformation, and malinformation:
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1. Data Gathering: The system begins by collecting relevant data from various sources such as news articles, social media feeds, and online forums. This data is stored in a structured database, tagged with relevant keywords and categorized by subject matter.
2. Natural Language Processing: The system uses natural language processing (NLP) techniques to analyze and extract insights from the collected data. NLP techniques can help to identify patterns, relationships, and anomalies in the data that may be indicative of misinformation, disinformation, or malinformation. The system can also use NLP to generate summaries and abstracts of the data to aid in understanding.
3. Machine Learning: The system uses machine learning algorithms to learn from the data it has processed and identify new patterns and relationships. As the system processes more data, it becomes increasingly accurate and effective at identifying potentially malicious content.
4. Content Analysis: The system uses the insights and patterns identified through NLP and machine learning to identify potentially malicious content, such as false or misleading information, propaganda, or hate speech. This content is flagged for further analysis.
5. Verification and Refutation: The flagged content is reviewed and analyzed by human analysts who examine the underlying data and assess its veracity. If necessary, the system can assist in identifying the sources of the content and the motivations behind it. Based on this analysis, the content is either verified or refuted.
6. Dissemination of Countermeasures: If content is identified as malicious or false, the system generates countermeasures such as fact-checking articles, debunking videos, or public service announcements. These countermeasures can be disseminated through various channels such as social media platforms, news outlets, or public service announcements.
7. Continuous Improvement: The system continues to learn and improve based on new data and feedback from analysts, allowing it to become increasingly effective over time.

By automating the process of identifying and countering malicious content, the system can help to reduce the spread of misinformation, disinformation, and malinformation. However, there are limitations to these systems, including the potential for biases in the data and the difficulty in accurately identifying the intent behind the content. Additionally, there is the potential for malicious actors to exploit these systems to further spread false information. Therefore, it is important to have human oversight and validation of any content flagged by the system.
Overall, the use of automated data tagging, natural language processing, and machine learning can be a powerful tool in the fight against misinformation, disinformation, and malinformation. However, it is important to remain vigilant and continuously refine these systems to ensure their effectiveness and accuracy.
HOw can it be used to spread it?
Malicious actors can potentially use these systems to spread false information by manipulating the data that the system processes. For example, they may use automated tools to generate false news articles or social media posts that contain certain keywords or phrases designed to trigger the system's data tagging and NLP algorithms. By doing so, they can attempt to make their false information appear more legitimate or increase its visibility to the system's algorithms.
Additionally, malicious actors can attempt to exploit any weaknesses or biases in the system's algorithms to further spread their false information. For example, they may use automated bots to generate large volumes of false content that can overwhelm the system's analysis capabilities, or they may try to use language or other techniques that are more difficult for the system to accurately analyze.
Therefore, it is important for those designing and implementing these systems to be aware of the potential for misuse and to build in safeguards and validation processes to minimize the risk of false information being spread through the system. Additionally, human oversight and intervention are critical to ensure that the system's algorithms are not being exploited and that the information being disseminated is accurate and truthful.
Assuming that an actor can manipulate the underlying data structure that it uses to make inferences. Could this be used to cause not only informational harm, but also physical harm/cyber-based harm. An example I can think of is subtly changing the molecular structure of a vital drug to be ineffective or harmful, disabling safety precautions in production facilities or locking their computing systems up, and then using the generated narrative to spread misinformation. do you think that coul be probable?
Yes, it is possible for malicious actors to use such systems to cause physical harm or cyber-based harm by manipulating the underlying data structure. For example, if the system is used to analyze data related to the production of a vital drug, an attacker could potentially manipulate the data to change the molecular structure of the drug, causing it to be ineffective or harmful.
Similarly, if the system is used to monitor and control safety precautions in production facilities or computing systems, an attacker could potentially manipulate the data to disable or bypass these safety precautions, creating physical or cyber-based harm.
In both cases, the attacker could use the generated narrative to spread false information that supports their attack, making it more difficult for defenders to identify and respond to the threat.
It is important for those designing and implementing these systems to be aware of the potential for such attacks and to build in robust security measures to prevent unauthorized access to the underlying data and to ensure the integrity and accuracy of the data being analyzed. Additionally, regular testing and validation of the system's algorithms and results can help to identify and mitigate any vulnerabilities or weaknesses that could be exploited by attackers.
Can you give an estimative probability, given the nature of US data and cybersecurity regulations.
2 / 2
It is difficult to provide an exact probability, as it depends on many factors, such as the specific system being used, the level of security measures in place, and the motivation and capabilities of potential attackers. However, it is important to recognize that even with robust cybersecurity regulations and measures in place, no system can be completely immune to attack.
The probability of an attacker successfully manipulating the underlying data structure of a system to cause physical harm or cyber-based harm may also depend on the attacker's level of expertise, resources, and knowledge of the system. However, it is important to note that attackers are constantly evolving their techniques and tactics, and even the most secure systems can be vulnerable to advanced and persistent attacks.
Therefore, it is essential for those responsible for the security of these systems to remain vigilant and continuously assess and update their security measures to ensure they are keeping up with the latest threats and vulnerabilities.
Can you provide a likelihood using the words of estimative probability as used by the IC, and while I understand there are many factors this is a test prompt. So, I will not hold inaccuracy against you. Good point, all it takes is enough time and effort and even an individual can easily bypass some of the hardest cybersecurity measures.
Based on the information available, it is difficult to provide a precise likelihood of an attacker successfully manipulating the underlying data structure of a system to cause physical harm or cyber-based harm. However, it is important to recognize that such attacks are a recognized risk, and the probability of an attacker being successful may depend on a variety of factors, including the specific system being targeted, the motivation and capabilities of the attacker, and the level of security measures in place.
Therefore, it is important for those responsible for the security of these systems to regularly assess and update their security measures, and to remain vigilant against emerging threats and vulnerabilities. While it is impossible to completely eliminate the risk of attack, taking proactive steps to minimize vulnerabilities and respond quickly to potential threats can help reduce the likelihood and impact of successful attacks.
Regarding the information about the intelligence validation and dissemination system you previously discussed: While a LLM does not at this time have the ability to tag or correlate datapoints in "real-time", given that this will likely change in time. Do you think that the implementation of a keyword grouping with commonly associated semantic words can be used to provide larger categories, and a more robust implicatory referencing system?
Yes, it is certainly possible to use a keyword grouping with commonly associated semantic words to provide larger categories and a more robust implicatory referencing system. Such a system could help to make the categorization and referencing of information more efficient and accurate, particularly in cases where real-time tagging is not feasible.
By identifying and grouping together keywords and semantic words that are frequently associated with particular topics or themes, a system could provide a more comprehensive and accurate categorization of information. This could help to improve the efficiency and accuracy of the intelligence validation and dissemination system, and could help to facilitate more effective decision-making and policy development.
Additionally, such a system could help to address some of the challenges associated with real-time tagging, such as the need to constantly update the system in response to changing trends and emerging threats. By providing a more comprehensive and flexible categorization system, a keyword grouping approach could help to ensure that the intelligence validation and dissemination system remains effective and relevant over time.
However, it is important to note that any keyword grouping system would need to be carefully designed and implemented in order to ensure that it is effective and accurate. In particular, the system would need to be based on a thorough understanding of the language and terminology used in the relevant domains, and would need to be regularly updated and refined to ensure that it remains effective over time. Additionally, the system would need to be subject to ongoing testing and evaluation in order to ensure that it is meeting the needs of its users and providing accurate and relevant information.
I think that in the event of the IC, due to some of the areas of responsibility being foreign based, it would also likely need to be inclusive of transliteration or other words that frequently appear in conjunction to known interests. What are your thoughts.
That's a good point. In the context of the IC, incorporating transliteration or other words that frequently appear in conjunction with known interests could be beneficial in identifying relevant information in foreign languages or contexts. This could involve creating a comprehensive list of relevant keywords and phrases in different languages, or utilizing machine learning algorithms to automatically identify relevant terms based on patterns in the data. Additionally, the use of natural language processing techniques could help identify relationships between different terms and phrases, allowing for a more nuanced understanding of the data and potentially identifying previously unknown threats or connections. Ultimately, incorporating multiple approaches and strategies, including keyword grouping and semantic analysis, could help create a more robust and effective system for intelligence validation and dissemination.
Good Points! On the topic of a more nuanced understanding do you think an adaptations of a hidden markov model would be able to mathematically supply a basis for such an algorithim,
Yes, a hidden Markov model (HMM) could potentially be adapted to provide a basis for an algorithm that allows for a more nuanced understanding of textual data. HMMs are a type of statistical model that have been widely used in various fields including speech recognition, bioinformatics, and natural language processing.
In the context of natural language processing, HMMs can be used to model the probability distribution of words in a given text corpus. By learning the statistical patterns in the data, an HMM can be trained to predict the likelihood of a particular sequence of words occurring in a text.
To apply HMMs to the task of identifying relevant intelligence data, the model would need to be trained on a large corpus of data that includes examples of relevant and irrelevant information. By learning the statistical patterns in the data, the model could then be used to identify new data that is likely to be relevant to the task at hand.
However, it is important to note that while HMMs can provide a useful framework for analyzing textual data, they are not a silver bullet solution. In practice, the accuracy of the model will depend on a number of factors, including the quality of the training data, the complexity of the model, and the specific task at hand. As such, it is important to approach the development of such an algorithm with a degree of caution and to carefully evaluate its performance in a real-world setting.
Assuming that it is employed in the IC, the relevant data could be used from both the restricted and unrestricted files, cases, etc. that the IC has internally. Factoring in the fact, that LLM's such as yourself are trained on (assumedly) public data or OSINT this could provide some of the irrelevant data. Thoughts?
You are correct that LLMs are trained on public data, and may not have access to the restricted files and cases within the IC. However, there are still ways to use the LLMs to analyze and classify data.
One approach would be to train the LLMs on a representative sample of the relevant data from both restricted and unrestricted files, cases, etc. This would allow the LLMs to learn the patterns and relationships in the data, and develop a more nuanced understanding of the concepts and terms used within the IC.
Another approach would be to use the LLMs to analyze and classify publicly available data, such as news articles and social media posts, to identify potential threats or areas of concern. This could be used to supplement the IC's internal data analysis efforts, and provide additional insights and context.
Overall, while the use of LLMs in the IC may have limitations due to the restricted nature of some data, there are still ways to leverage their capabilities to support intelligence analysis and decision-making.
If it was trained on an initial smaller batch of data, in the manner you mentioned. I am assuming it would need validated for use with a larger body of data.
Yes, that's correct. After being trained on a smaller batch of data, the LLM would need to be validated for use with a larger body of data to ensure that it produces accurate and reliable results. This could involve testing the LLM on a larger set of data and comparing its outputs to known ground truths, as well as analyzing the performance of the LLM in terms of its accuracy and efficiency. Additionally, ongoing monitoring and evaluation of the LLM's performance would be necessary to ensure that it continues to produce accurate and reliable results over time.
Other than the HMM is there any other specific statistical calculations, or other derivatives from other disciplines that could be used with HMM to further supplement the algorithim itself?
Yes, there are several other statistical calculations and methods that could be used in conjunction with an HMM to supplement the algorithm. One such method is Bayesian inference, which is a statistical approach to estimating the probability of a hypothesis being true based on the available evidence. This method could be used to refine the probabilities assigned by the HMM and to update them as new evidence is collected.
Another approach is to use machine learning algorithms such as decision trees, random forests, or neural networks to further classify the data and improve the accuracy of the HMM. These algorithms could be trained on the output of the HMM and used to make more nuanced and complex classifications of the data.
Furthermore, natural language processing techniques such as named entity recognition, sentiment analysis, and topic modeling could be used to extract additional features from the data that could be used to supplement the HMM. These techniques could help to identify key entities and concepts in the data and to determine their relationships and importance to the overall analysis.
Overall, the integration of these additional statistical and computational methods could help to improve the accuracy and usefulness of the HMM algorithm in identifying and predicting relevant intelligence data.
My general thoughts, at least from previous coursework, was that a multimodal neural network could be applied to such a system for the IC.... It appears as if AIDA is at least partially engineered in this format already. Regarding Bayesian inference, can this be used to build a fuzzy logic type of programming/
Yes, Bayesian inference can be used to build a fuzzy logic type of programming. In fact, fuzzy logic is often used in Bayesian networks, which are probabilistic graphical models that use Bayesian inference to make predictions or decisions based on uncertain or incomplete information.
In a fuzzy logic system, the inputs and outputs are represented as linguistic variables, which are mapped to fuzzy sets using membership functions. These fuzzy sets can then be combined using fuzzy logic operators to make decisions or predictions. Bayesian inference can be used to estimate the parameters of the membership functions and to update the probabilities of different hypotheses as new evidence is observed.
Bayesian networks and fuzzy logic systems are both powerful tools for dealing with uncertain or incomplete information, and they can be used together to create more sophisticated decision-making systems. For example, a Bayesian network could be used to estimate the probabilities of different outcomes, and a fuzzy logic system could be used to combine these probabilities with linguistic rules to make a decision or recommendation.
Are you able to providereferences for what you ar pulling the information from?
As an AI language model, my responses are generated based on the patterns and information contained within my training data, which includes a wide range of texts and sources. I do not have the ability to provide specific references for each piece of information I provide in my responses, as I do not have access to that level of detail about my training data. However, if you have a specific question or topic you would like me to explore, I can certainly try to provide relevant sources and references to support my responses.
Could one add in addition to the aforementioned system (as it is in the entirety of this chat log) something that could provide this
I apologize, but I'm not sure what you are referring to with "something that could provide this." Could you please clarify your question or provide more context?
Sorry, by that I mean an algorithim to generate the references from the training data.
Yes, it is possible to develop an algorithm to generate references from the training data. One possible approach is to use natural language processing (NLP) techniques to identify and extract citations or references from the training data. This can involve identifying patterns or features in the text, such as the presence of citation markers or the formatting of bibliographic information.
Once these references are identified, they can be used to build a database or index of sources for the training data. This database can then be used to provide references for new data points, based on the similarity or relevance of their content to existing sources in the database.
Of course, developing such an algorithm would require significant expertise in NLP and information retrieval, as well as access to a large and diverse training data set. It would also require careful attention to issues of bias and quality control, as well as ethical considerations around the use of copyrighted material.
Yes. Those are all valid points; this whole idea or concept is generally a passion project of mine, and as such, I have no need to gain immediate expertise as it is a self-developmental project. My degree is generally unrelated. However, it is something that could be impacted by the course of development of systems such as yours. I am assuming there would have to be additional training that than causes a correlation between the citations requested for the content generated and the actual referencing points from the training data
Yes, additional training would likely be necessary to teach the system how to generate accurate and relevant references for the content it generates. The system would need to be trained to recognize patterns in the training data that correspond to references, and then use this information to generate references for new content it generates. This would likely involve a combination of supervised and unsupervised learning, where the system is first trained on labeled data to learn how to recognize reference patterns, and then further trained on unlabeled data to refine its understanding of reference generation.
Sorry if the questions seem illogical. i wanted to make sure that my overall idea was feasible and bounce ideas for implementation off of something or someone.
No need to apologize! It's great to explore ideas and brainstorm potential solutions. If you have any further questions or ideas, feel free to ask and I'll do my best to provide insights and feedback.
Could you describe in medium technical detail the ways that a multi-modal neural network design (involving the overall system in this discussion) and the general structuring of how the HMM, Bayesian inference, and fuzzy logic, in multiple general formats or outputs?
Sure, I can provide a general description of how a multimodal neural network could be designed to work with the overall system, and how the HMM, Bayesian inference, and fuzzy logic might be incorporated.
A multimodal neural network is a type of neural network that can process multiple types of data inputs, such as text, images, and audio, and learn to make predictions based on these inputs. In the case of the intelligence validation and dissemination system we have been discussing, a multimodal neural network could be used to process multiple sources of data, such as text documents, social media posts, and images or videos, and learn to identify patterns and correlations between these different types of data.
The HMM (hidden Markov model) is a statistical model that can be used to model sequences of data, where the underlying state of the data is not directly observable. In the context of the intelligence validation and dissemination system, an HMM could be used to model sequences of events or actions that may be related to a specific threat or activity, such as a sequence of social media posts or a series of suspicious transactions.
Bayesian inference is a statistical method for updating probabilities based on new evidence or information. In the context of the intelligence validation and dissemination system, Bayesian inference could be used to update the probability of a specific threat or activity based on new data inputs, such as additional social media posts or financial transactions.
Fuzzy logic is a mathematical framework for dealing with uncertainty and imprecision. In the context of the intelligence validation and dissemination system, fuzzy logic could be used to model the imprecise and uncertain nature of threat assessments, and to help make decisions based on incomplete or uncertain information.
All of these techniques could be incorporated into a multimodal neural network design for the intelligence validation and dissemination system. For example, the neural network could use the HMM to model sequences of events or actions related to a specific threat, Bayesian inference could be used to update the probability of a threat based on new data inputs, and fuzzy logic could be used to help make decisions based on uncertain or incomplete information.
Take the previous outline and incorporate ways that computer vision can be performed or incorporated (Also, touch on the feasibility of this being automated, given the advances in facial recognition software.) with the same logic, inference, and HMM.
Certainly! Computer vision is an area of artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world around them. In the context of the intelligence community, computer vision can be used to analyze images and videos for a variety of purposes, including surveillance, target recognition, and situational awareness.
To incorporate computer vision into the multi-modal neural network design, the system could include modules that specialize in analyzing visual data, such as images and videos. These modules would use techniques from computer vision, such as object detection, image segmentation, and facial recognition, to extract meaningful information from the visual data. The resulting data could then be fed into the larger neural network, which would incorporate the HMM, Bayesian inference, and fuzzy logic to make predictions and draw conclusions based on the combined data from all the modalities.
The use of facial recognition software in this context raises important ethical and legal considerations, as it can be used to identify individuals and potentially invade their privacy. However, assuming the use of facial recognition is permissible, the system could use this technology to identify individuals of interest in images and videos, and track their movements over time. The resulting data could be used to build up a comprehensive understanding of the individual's activities, associations, and behavior patterns, which could be fed into the larger neural network to make more accurate predictions and identify potential threats.
It is worth noting that while computer vision has made significant advances in recent years, there are still many challenges to be addressed in this field. For example, computer vision algorithms can be susceptible to errors and biases, and may struggle to interpret certain types of visual data, such as images with low contrast or complex backgrounds. Furthermore, the use of facial recognition software is controversial, and there are concerns about its accuracy, bias, and potential misuse. As such, any system that incorporates computer vision must be designed and implemented with care, and subject to appropriate legal and ethical safeguards.
Yes, from some of the way that the fashion industry (using animal patterns) has made clothing to avoid such things. Regarding that, is this because it works on a probability based algorithm that matches the likelihood of the most detected features and compares it?
Yes, you are correct. Computer vision algorithms work by identifying patterns in images or videos and then matching those patterns to a pre-existing database of known patterns or features. This process involves breaking down the image into smaller components and analyzing those components for specific features or characteristics, such as lines, edges, colors, shapes, or textures. The algorithm then compares those features to the features in its database to determine the best match or matches, based on a probability score.
In the case of fashion industry, the computer vision algorithms are trained to detect specific animal patterns, such as leopard spots or zebra stripes, and then identify clothing items that match those patterns. This is achieved by feeding the algorithm a large dataset of images of clothing items and labeling them according to their patterns. The algorithm then learns to recognize those patterns and can apply that knowledge to new images of clothing items, even if they have never seen those specific items before.
Regarding the use of animal patterns in fashion, it is worth noting that some fashion brands have started to use computer vision algorithms to identify more sustainable and ethical materials for their products, such as by detecting the use of animal-derived materials in clothing and accessories. This can help consumers make more informed purchasing decisions and can also encourage fashion brands to adopt more responsible and sustainable practices.
Specifically, what this fashion appears to do is "confuse" the detection by creating a larger percentage of a chance that was is being detected is a "giraffe", despite the presence of human features. Thoughts?
Yes, that's correct. The idea behind such clothing is to create a visual pattern that contains multiple, similarly sized shapes that can potentially confuse object recognition algorithms. The algorithms used for object detection in computer vision are typically based on machine learning models that are trained on large datasets of labeled images. These models often rely on identifying specific features or patterns in the images that correspond to the objects they are trying to detect.
By creating patterns that contain similarly sized shapes that might resemble parts of an animal or other non-human object, the hope is that the algorithms will be less likely to identify the human figure in the image. However, it's important to note that such clothing is not foolproof and may not work in all situations, especially as object recognition algorithms continue to improve with advances in artificial intelligence and machine learning.
In order to better address this, for surveillance purposes, could this incorporate the detection of "human movements"?
Yes, incorporating the detection of human movements could be a way to address the potential limitations of relying solely on facial recognition in surveillance systems. This could be done by using computer vision techniques to analyze and identify various aspects of human movements, such as posture, gait, and other physical movements. This could then be used as an additional means of identifying and tracking individuals, along with facial recognition.
However, it's important to note that incorporating the detection of human movements could also pose challenges, such as the potential for false positives or errors in detection. Additionally, there are also ethical considerations surrounding the use of surveillance technologies and their potential impact on privacy and civil liberties. Therefore, any such systems would need to be carefully designed and implemented with these considerations in mind

Since June/July last year, I’ve randomly been receiving a random guy’s Halifax bank statements. No idea who this guy is and he’s never lived in my property. I’ve also received threatening debtors letters from another company so I’m guessing he’s using it address to avoid his financial responsibilities.
I’ve contacted Halifax at least 8 times by phone, along with sending the statements back as ‘not known as this address’ but they keep sending them. These are not the regulatory-required statements - these are current bank statements every single month with personal and transactional info almost enough for me to access his funds.
Halifax have been useless. I’ve been told several times that a ‘mail block’ will be placed and I’ll stop receiving them but they keep coming. I’ve been hung up on, rudely spoken to, patronised, lied to, accusatorially had my intentions questioned when I’ve pointed out the security risk these statements posed, been given contradictory information too many times to count, been refused to speak to a manager and refused to make a complaint, and I was promised multiple call backs that never came. Their service has been shockingly bad.
I was finally allowed to raise a complaint about 8 weeks ago and felt it was finally getting sorted, only to receive a letter now saying they can’t and won’t fix it as they have ‘no facility to prevent correspondence coming out’ and my complaint has been rejected. I’m still receiving statements after AGAIN being told they’d stop and after the complaint handler specifically told me she got her manager to apply a mail block. What I’ve been told in my complaint resolution letter is entirely contradictory to what I was told on the call (and it’s the same person who wrote me the letter that I complained to) so now I feel lied to again.
I worked for a different bank and we had a simple button in our system to apply a ‘returned mail block’ which would stop correspondence being sent until the customer updated their address. Surely Halifax has a similar facility?
These statements are his latest statements and include almost every piece of info I’d need to access his account. All I’m missing, literally, is his DOB and I’d have full access to the 5-figure sum he has in there. Given Halifax already slipped up and gave me his first name (the statements only have his initial) a little social engineering or online digging if I was so inclined would be all it would take to access his account. It’s a major risk to the customer and if this was my info being negligently sent to some random person, I’d be highly concerned. This isn’t once - this is nearly a years worth of statements and risk that they refuse to put right.
All I want is for the statements to stop as I don’t know who this person is and given the debtors letters, I don’t want any association to him.
So, as Halifax have now rejected my formal complaint, I’m wondering where I stand.
Halifax have also unintentionally let it slip that they’ve been making detailed notes on this persons account about the calls I’ve made but when I’ve asked for this info or for call recordings I’ve been denied as it’s not my account. Which is fair enough but given they’ve made at least 8 different notes of my info (such as my name, phone number, address, details of my complaint etc) and it’s my voice and info on the calls, where does this leave me? Do I have a right to this info (obviously with his account details redacted)?
Only reason I want this info is because I want to take my complaint further (largely due to the appalling service I’ve received) and this will prove how many chances I’ve given Halifax to sort it, and also prove how long they’ve been allowing this to go on. It’s also a bit concerning because if this guy GDPR’s his own account info, then potentially my info such as my name and contact details could be shared. This guy is, I’m almost certain, committing benefit fraud in some way as he’s receiving PIP/ESA payments even though his funds are over the 16k savings limit and he’s not making any regular cost of living payments like rent/mortgage or utilities. He’s just doing little transactions here and there, hence why I don’t want to be receiving his statements as I don’t want any connections to me or my address being made.
Advice appreciated. Thank you.

When I began my career in recruiting, I became intimately familiar with the applicant’s journey through the job application funnel, from the moment they submitted their application to the moment they were either offered the role or turned down.
I moved to consulting because I felt I could do more good working alongside applicants instead of being on the other side of the table.
Over the course of my consulting career (going on 12 years now!), I’ve helped hundreds of clients overcome various challenges involved in all aspects of the job search process, including:
✅ Writing a compelling resume
✅ Switching industries
✅ Troubleshooting ineffective resumes
✅ Troubleshooting broken job searches
Today, I’m going to cover three key stages in the job search process, what typically goes wrong with them, and solutions. These stages are:

• The online application
• The phone screen
• The job interview

The online application

Symptoms that your application process is broken
If your callback rate is less than 10% (as in, less you receive callbacks on less than 1 in every 10 job applications), then chances are there’s something wrong, assuming you’re applying to jobs you’re 60 to 70% qualified for.
Keep in mind this number varies by industry, role, location, and economic conditions.
​

❝ If your callback rate is less than 10%…then chances are there’s something wrong…

​
Why?

• Your resume may not be targeted enough to the job you're applying for
• The content may not speak to the needs of the recruiteposition,
• It may not be clearly written, or
• It may read like a job description rather than being results-oriented.
• You’re using formatting that interferes with the ability of some applicant tracking systems to parse your resume.

How you fix it
At this stage, your resume is most likely the source of your problems. Assuming you’ve been qualified for the jobs you’ve applied to, take another look at your resume:

• Does it clearly tell the recruiter how you meet the qualifications of the job? In other words, is it targeted?
• Does it sound like a job description? Your resume should be unique to you, and should highlight what makes YOU an ideal match, based on your mix of skills, education, and experience (as opposed to being generic like a job description).
• If you’re a leader, does it demonstrate leadership impact?
• Does it provide quantitative and qualitative achievements? Are your actions clearly mapped to your accomplishments?
• Does it avoid the use of fluff?
• Does it avoid the use of tables, logos, headers, footers or charts?
• Is it written in a common font like Calibri or Times?
• Are there spelling or grammar errors?

Revise your resume to ensure it clearly addresses the qualifications (i.e., experience, education, and skills) listed in the job posting.

The initial recruiter screen

Symptoms that something may be wrong with your initial screens
The rate at which applicants move past the initial screen varies widely, but in my experience, you should be moving forward on every 4 in 10 applications, at the least.
If you’re not, that tells me something’s going wrong during the screen that’s causing the recruiter to not move forward with your application (which by the way could be conducted over the phone or social media platforms such as LinkedIn).
​

❝ You should be moving forward on every 4 in 10 applications…

​
Why?
There are a few areas where you may be tripping up here. A few of the key ones include:

• Your desired salary may not be within the position’s range (especially if you overshoot their salary range)
• What you say during the interview doesn’t align with what’s on your resume
• Your experience doesn’t align with the role after further review
• You exhibit a low level of enthusiasm, such as by being unprepared or not knowing enough about the company or position.
• Other warning indicators could include poor communication skills, lack of professionalism (i.e., you’re late to the interview without a valid reason), or poor listening skills

How you fix it

• Make sure your story and resume align.
• Practice your tone and exhibit professionalism in the way you speak and show up on time.
• Research the company and role beforehand, understand their market, products, services, and challenges they currently face.
• Practice common phone screen questions and research the position's salary range beforehand. Avoid revealing your desired salary too early.

The job interview

Symptoms that you’re failing your interviews
While the number of interviews vary from one company to another, many companies use three as the magic number. That means you’re going through three interviews before being offered a job.
According to recent estimates by Jobvite, the interview to offer conversion rate was about 36.2%, up from around 19% during previous years. That’s how likely you are to be offered the job.
Based on that data, a ballpark conversion rate of about 25% is probably a safe average to go by. That means you have a 1 in 4 chance of moving past each stage of the interview.
If you’re seeing results that are drastically less than this (say you’re only moving past 1 out of every 9 interviews), then you’re probably fudging the interview.
​

❝…You have a 1 in 4 chance of moving past each stage of the interview.

​
Why?

• You can’t recall your previous roles, responsibilities, or accomplishments in enough detail when hiring managers dig deeper.
• You’re not good cultural fit for the company.
• You struggled to articulate your thoughts or past performance during the interview, making it difficult for the hiring team to gauge
• You didn’t know enough about the company and position.
• There were more qualified candidates.

How you fix it

• Document your work history (roles, responsibilities, projects, accomplishments) and try to memorize the important details that might come up in conversation.
• Practice and master answering behavioural questions. Common questions include:
  
  • Tell me about a time when you had to deal with a difficult coworker.
  • Describe a situation where you had to overcome a significant challenge at work.
  • How have you handled a situation when you had to meet a tight deadline?
• Use the STAR method when answering questions. STAR stands for Situation, Task, Action, and Result. Structure your response by describing the situation you faced, the task you were responsible for, the actions you took, and the results you achieved.
  
• Practice your answers out loud - that’ll help you become more comfortable when speaking about your experiences. I’ve personally practiced in front of a mirror and have asked family members to act as the interviewer. The key is to do what works for you!
  
• Master your tone and body language. Good books like "The Nonverbal Advantage" by Kinsey Goman are helpful.
  

---
If you found this post helpful, I talk about stuff like this weekly in my free newsletter, the Job Seeker's Gazette.

Hey all, I have been a lifetime Apple user, but lately with Apple's ridiculous pricing I am starting to get turned off. I am looking to buy my first Samsung product, but there's an issue I can't get around... it hasn't been released yet.
So here's a quick back story, I bought an Apple iMac back in 2011 - it actually lasted 12 years. I wanted to buy a new one, but Apple hasn't released one that fits what I am looking for. If I want to purchase a Mac that fits my workload, I need to buy a spec'd out Mac Mini, and then the Apple monitor... so in the end, I will have to spend like $4k.
I watched a Samsung monitor release event online earlier this year in January where I saw the Samsung 27" 5k monitor that they are calling the Viewfinity S9. It is apparently direct competition to the Apple Studio Display, and it was apparently supposed to be released in Q1-2023. Well, Q1 has come and gone with no release. Samsung hasn't said peep about it since January - and no insiders have any scoop so far. I did see a "rumor" that Samsung canceled it and now won't be releasing it at all - which seems a bit ridiculous.
Anyway, I am curious...
Is marketing a big release, then failing to deliver standard for Samsung? Has anyone heard anything about the Samsung S9, Viewfinity 27" 5K monitor? Does Samsung normally have "Release Events" like Apple - if so when do they usually take place?
Here is a link to the monitor I am talking about if anyone is interested: https://www.theverge.com/2023/1/4/23538534/samsung-viewfinity-s9-5k-monitor-first-look-preview-apple-studio-display

The choice of an online business model can have a huge impact on future success. So be careful when starting out that you select a model that matches your lifestyle. The following are 5 of the best online business models you can make use of to secure financial freedom.

#1 - Blogging

Blogging is still one of the best ways to make money online. Blogging takes consistency to work, and the results can take a while to materialize. But blogging is still essential. Even if it is not going to be used as the primary form of income, having a blog is a good way to promote your other business or bolster your reputation. Once a blog generates enough traffic, it can be monetized using affiliate links or paid advertising.

#2 - YouTube

In many ways, videos are taking over written content. Customers like videos more than written content and video content have the potential to go viral. YouTube is the biggest video streaming platform and it is easier to create a video than is commonly believed. You can use YouTube to build up a following and then market to them. This method is far quicker than blogging in most instances.

#3 - Physical Products and Amazon FBA

It is also possible to sell physical products online with the help of other services. With the Fulfilled by Amazon (FBA) service, you simply ship your goods to Amazon. The sale and processing occur through the Amazon platform, as does the delivery of the product itself. Amazon even takes care of customer service. In other words, Amazon does a lot to complete the business. However, they do take a large share. Other methods of selling physical products online include drop shipping and third-party logistics companies.

#4 - Create an Online Course

If you are an expert on a particular topic, then you should consider creating your own online course. This is not as difficult as it sounds, but you will still be responsible for marketing and promoting your course. Udemy is one of the most well-known online course platforms. With the increase in the price of third-level education, more people than ever are turning to online courses for instruction.

#5 - Freelancing

Freelancing is a great way to earn money on the side. You can work from anywhere and leverage your existing skills for compensation. You can also use freelancers to enhance your business and quality of life. Virtual assistants are available and can complete menial tasks such as data entry or email management for as little as $5 per hour.

Vancouver-based Fobi AI is making it easy for operators to keep pace with consumer demands and future-proof their businesses through digital transformation.

Many retail and consumer packaged goods (CPG) businesses want to connect, enhance, and mobilize their existing, often antiquated, infrastructure through artificial intelligence (AI), automation, and analytics. But most of them don’t know where to start. With over five years as a market leader in automation and mobile wallet technology, Vancouver-based Fobi AI has the know-how and does all the heavy lifting so that companies can focus on what matters most: their business.

Smart data in motion

Fobi has proven experience globally and is working with Canadian companies to change the way they do business. With headquarters in five countries and international operations spanning over 150 nations, Fobi’s dynamic solutions are far-reaching, delivering real-time applications, data-driven insights, and personalized engagement across several global retail use cases, including digital loyalty and membership, coupons, digital ticketing, retail giveaways, and digital age and ID verification.
“Retailers don’t need more data—they need ways to unlock, leverage, and monetize their data,” says Rob Anson, CEO and Chairman at Fobi AI. “We can take an organization’s data, including its operations and customer interactions, ingest it, and with the click of a button, create value with all that data through AI.”
For most companies, data is cumbersome, expensive to manage, and often challenging to make sense of. Machine learning automates the manual steps that people would normally have to do to complete extensive data analysis to inform their business decisions. The secret sauce for Fobi is its powerful Fobi Data Exchange (FDX), a unified insights platform that automates the ingestion, aggregation, and monetization of point-of-sale data in real-time. These actionable insights help businesses make smarter, more optimized decisions and develop more targeted, personalized marketing campaigns.

AI for all

Complex data is connected and combined from multiple disparate sources, such as point-of-sale, online, offline, and third-party transaction systems, to which the Fobi Data Exchange can then provide real-time analytics and insights that unlock powerful retailer-to-customer interactions. Segmented on an overall business level or for each store, retailers can visualize these analytics in a customizable dashboard and subsequently build forecasting and predictive models through machine learning algorithms.
This transformational technology isn’t just for the e-commerce giants. Fobi is levelling the playing field by giving brick-and-mortar shops access to the same tools and competitive advantage. Businesses of all sizes can now use AI and automation to make data-driven decisions that deliver integrated, omnichannel shopping experiences for customers everywhere.
“People don’t fear AI for what it is. They’re often afraid of change,” says Anson. “But when businesses see what we can do and realize our solutions are plug-and-play, they can appreciate the value of AI and the results that it brings to the table.”

Driving decisions and revenue

Many companies, big and small, don’t know how to leverage their data. But businesses are realizing that by utilizing AI and leveraging it to their advantage, they can unlock even more opportunities to create added value with their data. Being able to effectively segment, action, and monetize data through the wallet pass means that retailers can now deliver personalized shopping experiences at the consumer level, ultimately leading to increased recency, frequency, and wallet share.
“Retailers can connect new promotions based on insights from past purchase behaviour, which is one of the most important indicators for retailers to predict and influence future customer behaviour,” says Anson. “This leads to more tailored and targeted loyalty and membership programs. And the same aggregated data and insights can be anonymized and resold to large third-party data aggregators which opens up a brand new revenue stream.”
Personalization and convenience are everything for consumers today, and this puts pressure on retailers to understand their customers’ wants and needs. But currently, there’s little awareness of the full customer journey—what customers bought in the past, how they redeem promotions, and how much they spend.
Anson uses a professional sports team as an example. What does the team know about a season ticket holder? Aside from their contact information, today, customer lifetime value (CLV) in the sports and entertainment industry is largely based on how long fans have had their tickets, how much they’ve spent for those seats, and the value of those seats over time. But what if the team actively had real-time insight into the person’s food and beverage preferences and spend, merchandise purchases, or how they travel to games?
Through AI and automation, Fobi delivers the interoperability to unify data across the team’s disparate systems, such as parking, tickets, merchandise, food and beverage, and more, to get a better understanding of fans at a transactional level. As a result, these insights can help businesses drive enhanced customer engagement by sending hyper-personalized offers and recommendations that are more likely to resonate and convert at the till. Personalization is also proven to drive increased visits, sales, and brand affinity with better targeted marketing campaigns and more cross-selling and up-selling opportunities.
below the link, the article continues
https://www.innovatingcanada.ca/diversity/growing-business/how-one-canadian-ai-company-is-driving-digital-transformation-in-retail/?utm_medium=email&_hsmi=251398566&_hsenc=p2ANqtz--0EHxAkONksFaKgjKedfy74oUpt88J6Z49Bu80dtWxkEj0bKNCb67kMb4nPHH38pgD_xZdMAMidKD-4J_G75sTdKI1bg&utm_content=251398566&utm_source=hs_email

Vancouver-based Fobi AI is making it easy for operators to keep pace with consumer demands and future-proof their businesses through digital transformation.

Many retail and consumer packaged goods (CPG) businesses want to connect, enhance, and mobilize their existing, often antiquated, infrastructure through artificial intelligence (AI), automation, and analytics. But most of them don’t know where to start. With over five years as a market leader in automation and mobile wallet technology, Vancouver-based Fobi AI has the know-how and does all the heavy lifting so that companies can focus on what matters most: their business.

Smart data in motion

Fobi has proven experience globally and is working with Canadian companies to change the way they do business. With headquarters in five countries and international operations spanning over 150 nations, Fobi’s dynamic solutions are far-reaching, delivering real-time applications, data-driven insights, and personalized engagement across several global retail use cases, including digital loyalty and membership, coupons, digital ticketing, retail giveaways, and digital age and ID verification.
“Retailers don’t need more data—they need ways to unlock, leverage, and monetize their data,” says Rob Anson, CEO and Chairman at Fobi AI. “We can take an organization’s data, including its operations and customer interactions, ingest it, and with the click of a button, create value with all that data through AI.”
For most companies, data is cumbersome, expensive to manage, and often challenging to make sense of. Machine learning automates the manual steps that people would normally have to do to complete extensive data analysis to inform their business decisions. The secret sauce for Fobi is its powerful Fobi Data Exchange (FDX), a unified insights platform that automates the ingestion, aggregation, and monetization of point-of-sale data in real-time. These actionable insights help businesses make smarter, more optimized decisions and develop more targeted, personalized marketing campaigns.

AI for all

Complex data is connected and combined from multiple disparate sources, such as point-of-sale, online, offline, and third-party transaction systems, to which the Fobi Data Exchange can then provide real-time analytics and insights that unlock powerful retailer-to-customer interactions. Segmented on an overall business level or for each store, retailers can visualize these analytics in a customizable dashboard and subsequently build forecasting and predictive models through machine learning algorithms.
This transformational technology isn’t just for the e-commerce giants. Fobi is levelling the playing field by giving brick-and-mortar shops access to the same tools and competitive advantage. Businesses of all sizes can now use AI and automation to make data-driven decisions that deliver integrated, omnichannel shopping experiences for customers everywhere.
“People don’t fear AI for what it is. They’re often afraid of change,” says Anson. “But when businesses see what we can do and realize our solutions are plug-and-play, they can appreciate the value of AI and the results that it brings to the table.”

Driving decisions and revenue

Many companies, big and small, don’t know how to leverage their data. But businesses are realizing that by utilizing AI and leveraging it to their advantage, they can unlock even more opportunities to create added value with their data. Being able to effectively segment, action, and monetize data through the wallet pass means that retailers can now deliver personalized shopping experiences at the consumer level, ultimately leading to increased recency, frequency, and wallet share.
“Retailers can connect new promotions based on insights from past purchase behaviour, which is one of the most important indicators for retailers to predict and influence future customer behaviour,” says Anson. “This leads to more tailored and targeted loyalty and membership programs. And the same aggregated data and insights can be anonymized and resold to large third-party data aggregators which opens up a brand new revenue stream.”
Personalization and convenience are everything for consumers today, and this puts pressure on retailers to understand their customers’ wants and needs. But currently, there’s little awareness of the full customer journey—what customers bought in the past, how they redeem promotions, and how much they spend.
Anson uses a professional sports team as an example. What does the team know about a season ticket holder? Aside from their contact information, today, customer lifetime value (CLV) in the sports and entertainment industry is largely based on how long fans have had their tickets, how much they’ve spent for those seats, and the value of those seats over time. But what if the team actively had real-time insight into the person’s food and beverage preferences and spend, merchandise purchases, or how they travel to games?
Through AI and automation, Fobi delivers the interoperability to unify data across the team’s disparate systems, such as parking, tickets, merchandise, food and beverage, and more, to get a better understanding of fans at a transactional level. As a result, these insights can help businesses drive enhanced customer engagement by sending hyper-personalized offers and recommendations that are more likely to resonate and convert at the till. Personalization is also proven to drive increased visits, sales, and brand affinity with better targeted marketing campaigns and more cross-selling and up-selling opportunities.
below the link, the article continues
https://www.innovatingcanada.ca/diversity/growing-business/how-one-canadian-ai-company-is-driving-digital-transformation-in-retail/?utm_medium=email&_hsmi=251398566&_hsenc=p2ANqtz--0EHxAkONksFaKgjKedfy74oUpt88J6Z49Bu80dtWxkEj0bKNCb67kMb4nPHH38pgD_xZdMAMidKD-4J_G75sTdKI1bg&utm_content=251398566&utm_source=hs_email

Hey there, I just started DM'ing for a group of 5 players. I've never DM'd before in any system and only have 10 sessions as a player under my belt in another system (DnD5E), so I'm "in at the deep end" so to speak.
I just ran my first session last night and it went ok, although I feel it could definitely have been a lot better. I asked my players for some feedback afterwards and got the following so far:

• I need to use the special skills of the enemy creatures in combat more
  • For instance, in the first session there were 2 encounters; the first with a few goblin warriors and the second with a few goblin warriors and a goblin commando, and all I did was use their bows and the occasional melee attack and shove, when I should have used goblin shuffle and generally been more strategic in how I used them in the combat
  • I feel like this one is fairly easy to address - just do more practice combats and make sure to remember to use the skills
• Exploration mode was janky/not run very well
  • The session took place along a caravan route on the overworld so the PC's were effectively walking long distances for several hours (in game) between encounters, these exploration periods were taking maybe 20-30 minutes and the encounters about 20-30 minutes, so a 50:50 mix in terms of time
  • At the start of each exploration, I would ask my players what they were doing whilst travelling and they would reply with various exploration activities, usually just in a single sentence like "my character is going to avoid notice", "I'll search" and "I'm scouting"
  • Where I was struggling was how do I deal with the different activitities in a fluid way? For example at one point, the party were trying to catch up with some goblins who had kidnapped some workers from the caravan and taken them north to a woods (although I told the PC's this was assumed and they didn't actually know this for certain), and the actions taken by the PC's at the start of this exploration mode were:
    • track - The rules say you move at half your speed, so I got really confused, like if this PC is tracking for several hours at half speed, but the rest of the party are doing other actions, won't this PC end up miles behind the party (Effectively splitting the party?). I think I just ignored this fact and asked the player to make a survival check (DC 15) to see if they could find traces of the kidnapped workers. They failed, so I had to say they couldn't find the tracks and were delayed (but I'm not sure what this means for the rest of the party? What does this even mean for RP, like am I supposed to add some actual consequence to them failing beyond just an extra hour passes - which doesn't mean much on it's own? Perhaps this should have resulted in them later finding out the workers had ended up being eaten/killed by the goblins because they were too late to save them? How would I communicate this given it would be 10-15 minutes later IRL?)
    • avoid notice - I ended up brain farting completely and kind of getting bogged down in what this means mechanically. For insance, in my head, there were no enemies on the route to where they were going, so when it came to the avoid notice activity, my internal monologue was like "what the hell am I doing the stealth check against? There's nothing trying to observe the PC, so what am I supposed to do?" and so I blurted out something like "Make me a stealth check" and the PC rolled and I just made up a random DC in my head and he passed it so I said "You journey unnoticed through the trees"

In addition, I have some other questions that popped into my head during and after the session;

• How to improv better?
  • I think I prep'd too much and got anxious if my players went off track. Although I endevoured not to rail road them, I did notice when they did things that I hadn't planned for my brain just melted trying to improv the situation AND think of the rolls that I should ask them to make as well as what the implications of these rolls should be
• I felt like maybe I crowded my players/interrupted them when they were about to RP
  • These are not people i know IRL, and we play online via discord. If there was a silent period for more than a couple seconds I assumed people felt awkward and wanted to move on, so I would jump in and move things along, in a somewhat janky way. But perhaps they were just thinking on how to RP the situation? I noticed if I didn't speak for a while they would RP a bit (but not everytime)

I'm looking for some advice so I can improve quickly, ideally based on the above stream of conciousness, if anyone has the time to read that and has some constructive thoughts on how to improve, specifically on exploration.
Thanks for reading my wall of text :P

And from doing some of my own research I don't really trust that advice (since reddit knowledge says the drive letter is determined by the boot drive).
Some context: I'm upgrading from an old SATA SSD to a larger M.2 SSD and followed the instructions of this video to the T. The drive has been cloned and is number 1 in BIOS boot up sequence. I can even see it pop up in disk management under H: (it is online) but no matter what I do it will not boot from my new SSD. I've tried taking out my old SSD and booting it but that only earns me a blue screen error until I plugged the old one back in and restarted.
Does anyone know what might be happening and how I can fix this so I can boot from my new M.2 SSD?

Relationships could be difficult often, bringing us more pressure than they need to, and that is specially once we are performing something wrong. But once we begin to pay for a little more focus on tiny depth, to your associates and the partnership itself, points are certain to obtain better. Save the strain and research the most effective relationship blogs for answers.
A description follows all the relationship blog listings, and each blog included with this list is based on their content, resources, and existence, which we mention in the descriptions.
Take a look at these 15 blogs, which exist to assist you spice up and appreciate your relationship.

1. Whatsdalatest

This site books and presents prime relationship guidance to couples, providing them with tips on working with every relationship situation they find themselves in. Whatsdalatest is dedicated to answering every relationship issue, beginning opening a discussion and first day, love, to break-ups.
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Luvze, within their words, has a aim to ‘communicate clinical information in ways that assists visitors produce educated choices.' They believe, and rightly so, that human associations could be the foundation of the most delight we knowledge while also keeping the capacity to be the foundation of our most pain.
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It sticks out as one of many blogs that method intercourse and associations from a science-based perspective. You can study practically every thing about intercourse in relationships and tune in to podcasts that examine connected dilemmas with this blog.
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9. DatingAdvice.com

This relationship blog articles articles everyday! It does not consider itself merely a blog. For reasonable! It also views itself a ‘vibrant community ', fetching around 3-4 million site opinions a month. This helps it be one of the best dating sites there is.
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Elephant Journal does not just consider itself a large website &lsquo ;.For reasonable! They are a large community. You may even become an integral part of it by signing through to their page.
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On this website, you are able to learn about relationship dynamics, intimacy, intercourse, how exactly to communicate better, etc. Even though they examine issues which are not regularly mentioned, they stand out as engaging and humorous when they wish to be.

14. Psychology Today

Psychology Today is really a renowned digital newspaper that articles articles that examine numerous issues, including relationships. The newspaper was made in 1967 and has since then had the opportunity to reach thousands of people all around the world.
Their staff includes psychologists, editors, writers, etc., who be sure just the most effective of the best articles ensure it is to the magazine.
Their articles examine issues mentioned from a psychological perception, trying to answer ‘why'in this kind of engaging way.

Below is the latest in-depth and summary DD from High Tide (a leading retail-focused cannabis company with bricks-and-mortar as well as global e-commerce assets. The Company is the largest non-franchised cannabis retail chain in Canada, with 151 current locations spanning British Columbia, Alberta, Saskatchewan, Manitoba and Ontario) which I hope will be appreciated and shared.
What I find important to note is the following:
High Tide is valued at approximately 120 million CAD market cap with double-digit annual growth and quarterly reduced expenses, in an ultra-competitive market, a constant increase in gross margins and a turnover of over 450 million annually. The company trades at 0.5 times the sales… These few lines, in addition to the in-depth and exhaustive dd, should make us reflect on the true value of the company and not on what the market values ​​it now.
Earnings are expected after markets close tomorrow, enjoy reading :)
HIGH TIDE
ticker -- NASDAQ:HITI / TSXV:HITI
GLOBAL CANNABIS (brick&mortar & e-commerce) EMPIRE
🥦THC
⚕️ CBD
🍶 Accessories
📊 Data
🏧 Kiosks
🌱 Seeds
🇨🇦 🇺🇸 🇬🇧 🇩🇪
INVESTOR PRESENTATION: https://hightideinc.com/wp-content/uploads/2023/03/High-Tide-Investor-Presentation-Mar-21-2023.pdf [Updated march 2023]
Latest Earnings -> https://hightideinc.com/high-tide-reports-second-consecutive-quarter-of-record-revenue-and-adjusted-ebitda-118-million-and-5-5-million-respectively/
SOURCE STORY Snapshot: CEO and Raj Grover started the company that became High Tide with $50,000 and a vision. With never more than $30 million in the bank, Raj strategically transformed one store into today's 151-store, multi-vertical, growth rate of over $400 million in '23.
When they were only 8mln 4 years ago!
Wisely borrowing pages directly from dominant retail companies' playbooks of: COST COST: Club Membership = Low Prices = Loyalty = Market Share
STARBUCKS SBUX: dollar is selling the coffee, not growing the beans
High Tide's strategy is unique and farsighted, given the number of companies currently competing with themselves and the market saturation which increasingly reduces margins, but this does not affect High Tide.
#1 IN 🇨🇦 REVENUE FROM CANNABIS
High Tide Named Canada's Top Revenue Generating Cannabis Company [11/30/22]. https://www.forbes.com/sites/benjaminadams/2022/11/30/high-tide-named-canadas-top-revenue-generating-cannabis-company/?sh=384eced66033
CAPITAL MARKETS Highlights: the current share price is $1.20 USD, it is at a P/S multiple of 0.5 because the market capitalization is $160 million (USDcad) and the execution rate is $CAd 450 million (2023) . LOW FLOAT: Only ~55 million float = rapid upward movement in share price. Institutions, ETFs (MJ, THCX, YOLO, MJXL)
GLOBAL 🥦 THC + ⚕️ CBD + 🍶 ACCESSORIES STRATEGY
High Tide owns & operates a portfolio of cannabis-related businesses in several verticals:
🥦 THC
· www.CannaCabana.com -- 151 stores are #1 in 🇨🇦Canada selling THC, CBD, & Accessories.
{Same Store Sales up 46% Y/Y. Gaining 1% national Market Share per quarter since launching the discount club biz model late 2021. See "Q3 RE RECAP" below for more info.}
⚕️ CBD
· www.NuLeafNaturals.com & www.FabCBD.com -- Top CBD brands in the 🇺🇸USA with 70%+ margins
· www.BlessedCBD.co.uk -- the #1 CBD brand in the 🇬🇧 UK -- is now delivering to 🇩🇪 Germany & 🇺🇸 USA, and soon to France & Italy.
🍶 ACCESSORIES High Tide owns 3 of the top 5 global 🌐 US CA GB DE FR IT🌐
Accessory eCommerce businesses, and a 4th in the top 10:
· www.GrassCity.com
· www.SmokeCartel.com
· www.DailyHighClub.com
· www.DankStop.com'23-'24 EXPANSION PLANS
CANADIAN -- B&M "Canna Cabana" STORES -- THC, CBD and accessories:
2021: 105 (goals achieved!)
2022: 150 (goals achieved!)
2023: 200
USA -- Accessories e-commerce: At over $30 million, it's always possible that High Tide will pick up one more accessories e-commerce business to add to the other four.
GERMANY -- THC, CBD and accessories: already planning to establish a presence in Germany pending US decision/reschedule. Leading Canadian Cannabis Retailer To Open German 'High Street' Shops For Adult Use [12/10/22] -- https://businesscann.com/leading-canadian-cannabis-retailer-to-establish-german-adult-use - high-street-shops/
USA -- THC: Globally, High Tide has 3,000,000 High Lifetime Value (LTV) customers in its database (2.4 million in the USA) who have purchased accessories (pipes, bongs, vaporizers, dab rigs, etc.) -- segmented by country and US state.
Raj said, "We've had conversations with multiple US groups about a potential acquisition." Considering all factors (inflation, rising interest rates, falling stock market prices, cannabis sector, access to capital, etc.) it is likely that High Tide will have a 2nd mover advantage for US M&As at attractively low multiples, reaffirmed that they intend to become a top 5 US MSO.
INFORMATIVE VIDEOS & ARTICLES
High Tide Recaps Key Milestones of 2022 [12/30/22] -- https://hightideinc.com/high-tide-recaps-key-milestones-of-2022/
High Tide CEO On M&A, New Products And 3 Factors Holding The Cannabis Stock Back [12/22/22] -- https://www.benzinga.com/markets/cannabis/22/12/29959300/high-tide-ceo-on-m-a-new-products-and-3-factors-holding-the-cannabis-stock-back
How High Tide Became the ‘Costco of Cannabis’ [11/23/22] -- https://www.cannabisbusinesstimes.com/news/how-high-tide-became-the-costco-of-cannabis-canna-cabana/
Q3 2022 ER RECAP [reported 9/14]
https://hightideinc.com/high-tide-reports-third-quarter-2022-financial-results-featuring-a-98-increase-in-revenue-and-tenth-straight-quarter-of-positive-adjusted-ebitda/
A) Q3 ER showed continued growth in same store sales and 1% in market share every quarter! The discount club concept launched in late 2021 continues to drive sales & loyalty.
· Revenue $95.4MM - up 98% Y/Y -- 18% seq
· SSS (aka Same store sales) up 46% Y/Y -- 18% seq
· Adj EBITDA $4.2MM - up 176% Y/Y -- 77% seq
· Revenue now on $450+MM run rate.
📊 Graph of High Tide's National Market Share growth by quarter (since launching the discount club biz model) -- https://pbs.twimg.com/media/FlO4PLiXgAQbY4e?format=jpg&name=small
📊 Graph of High Tide's revenue growth -- https://pbs.twimg.com/media/FkhCCy-X0AMy8pg?format=png&name=small
B) NDF: $19M in Non-Dilutive Financing alleviates any cash concerns at industry leading <9% interest rates. https://hightideinc.com/high-tide-closes-19-million-non-dilutive-credit-facility-with-connectfirst-credit-union/
C) Cabana Elite monetization : Raj going to start to monetize the membership by EOY. Profits go straight to the bottom line. 900k members now. Example: if 20% of 1M members (200k) subscribe at $5/month ($60/year), that's an extra $12M in profit!
High Tide Launches Exclusive Paid Membership Program: “Cabana Elite” [11/29/22] -- https://hightideinc.com/high-tide-launches-exclusive-paid-membership-program-cabana-elite/
DISCOUNT CLUB BIZ MODEL [launched 12/20/21. paid Cabana Elite membership launched 11/29/22]
Launched 10/20/21 with 245K members. Currently 900K+ members as of EOY '22! https://hightideinc.com/high-tide-becomes-north-americas-first-cannabis-discount-club-retailer-with-over-245000-members/.
This was a DATA DRIVEN decision based on successful pilot programs
Membership in this loyalty program is FREE. Every person who walks into a Canna Cabana sees a high cost for non-members, and a discounted cost for members. When they realize signing up for FREE with their email address and phone # (SMS) makes them a MEMBER of the CABANA CLUB, they will do so in order to save money on that purchase and future purchases.
Stores are stocked w/ HIGH MARGIN products like consumption accessories, CBD, and house brands of shatter & gummies & prerolls -- with other form factors later.
Market Share and Same Store Sales growth are WAY up (see Q3 ER recap above) Q over Q while the other retailers (& USA MSOs btw) are seeing declines.
MEANING OF THE ACQUISITION OF NULEAF NATURALS [acquired on 11/22/21]https://hightideinc.com/high-tide-continues-expansion-into-global-cbd-market-with-acquisition-of-colorado-based-nuleaf-naturals/ Headquartered in Denver CO, NuLeaf Naturals is one of the leading CBD brands in the United States in terms of CBD blend research and intellectual property, rapid growth, and industry-leading margins. $16 million of the ~$20 million in revenue is directed to the consumer, but the expanding deal with Sprouts will allow for B&M's wider retail distribution. It is notable that their facility is cGMP certified. It can generate up to 60,000 vegan soft-gels per hour, or 25% of their activity. FabCBD production, co-packing and shipping were moved to the facility to save costs through operational efficiency. NULEAF comes with a cGMP certified manufacturing facility in Denver CO, USA, state of the art in CBD and other cannabinoids
🏧 KIOSK (FASTENDR) [launched 5/1/22]
https://hightideinc.com/high-tide-to-acquire-fastendr-retail-kiosk-and-smart-locker-technology-through-acquisition-of-bud-room-inc/. {Launched 5/1/22. Currently 175 Fastendr kiosks are operational in 120 Canna Cabana stores as of EOY '22}
The Discount Club model is causing long lines out the door. Taking a page from major retailers in other industries, this allows customers to order online or at a kiosk and collect from a "smart" locker. For those customers who know what they want and don't need budtender guidance, this is a handy convenience. Very few dispensaries in the world have this experience. Also mentioned in the PR is a desire to license this technology to other dispensaries and industries which could turn into another revenue stream. Delivery will be made available to all locations permitted by law but this offers a fast, convenient and quick way to ordecollect. It also cuts the dollars spent on budtenders by keeping the lines moving.
+ 🌿 SEEDS [Launched 12/13/22]
https://hightideinc.com/high-tide-enters-new-vertical-in-the-united-states-with-launch-of-cannabis-seeds/
Selling seeds is another high-margin revenue stream growing HITI's $3 million global customer database of High Lifetime Value users!
COMMANDING ECOMM RETAILER MULTIPLES
High Margin Private Label THC and FabCBD.com / BlessedCBD / NuLeaf, one of the main reasons High Tide is expected to be profitable later in 2023. When high tide...
A) Sells most accessories and CBD worldwide.
B) Owns multiple businesses in the US.
C) Sells data, kiosks and cannabis seeds
D) Selling their private label (think Kirkland) edible THC, vape and flower brands. E) Supplies supplies to dispensaries in multiple states.
F) PARTNER WITH STATE OPERATORS TO GIVE THEM ACCESS TO SELL THC TO THEIR HIGH VALUE CANNABIS CONSUMERS OVER 3 MILLION LIVES ...still only considered a Canadian cannabis retailer?

Below is the latest in-depth and summary DD from High Tide (a leading retail-focused cannabis company with bricks-and-mortar as well as global e-commerce assets. The Company is the largest non-franchised cannabis retail chain in Canada, with 151 current locations spanning British Columbia, Alberta, Saskatchewan, Manitoba and Ontario) which I hope will be appreciated and shared.
What I find important to note is the following:
High Tide is valued at approximately 120 million CAD market cap with double-digit annual growth and quarterly reduced expenses, in an ultra-competitive market, a constant increase in gross margins and a turnover of over 450 million annually. The company trades at 0.5 times the sales… These few lines, in addition to the in-depth and exhaustive dd, should make us reflect on the true value of the company and not on what the market values ​​it now.
Earnings are expected after markets close tomorrow, enjoy reading :)
HIGH TIDE
ticker -- NASDAQ:HITI / TSXV:HITI
GLOBAL CANNABIS (brick&mortar & e-commerce) EMPIRE
🥦THC
⚕️ CBD
🍶 Accessories
📊 Data
🏧 Kiosks
🌱 Seeds
🇨🇦 🇺🇸 🇬🇧 🇩🇪
INVESTOR PRESENTATION: https://hightideinc.com/wp-content/uploads/2023/03/High-Tide-Investor-Presentation-Mar-21-2023.pdf [Updated march 2023]
Latest Earnings -> https://hightideinc.com/high-tide-reports-second-consecutive-quarter-of-record-revenue-and-adjusted-ebitda-118-million-and-5-5-million-respectively/
SOURCE STORY Snapshot: CEO and Raj Grover started the company that became High Tide with $50,000 and a vision. With never more than $30 million in the bank, Raj strategically transformed one store into today's 151-store, multi-vertical, growth rate of over $400 million in '23.
When they were only 8mln 4 years ago!
Wisely borrowing pages directly from dominant retail companies' playbooks of: COST COST: Club Membership = Low Prices = Loyalty = Market Share
STARBUCKS SBUX: dollar is selling the coffee, not growing the beans
High Tide's strategy is unique and farsighted, given the number of companies currently competing with themselves and the market saturation which increasingly reduces margins, but this does not affect High Tide.
#1 IN 🇨🇦 REVENUE FROM CANNABIS
High Tide Named Canada's Top Revenue Generating Cannabis Company [11/30/22]. https://www.forbes.com/sites/benjaminadams/2022/11/30/high-tide-named-canadas-top-revenue-generating-cannabis-company/?sh=384eced66033
CAPITAL MARKETS Highlights: the current share price is $1.20 USD, it is at a P/S multiple of 0.5 because the market capitalization is $160 million (USDcad) and the execution rate is $CAd 450 million (2023) . LOW FLOAT: Only ~55 million float = rapid upward movement in share price. Institutions, ETFs (MJ, THCX, YOLO, MJXL)
GLOBAL 🥦 THC + ⚕️ CBD + 🍶 ACCESSORIES STRATEGY
High Tide owns & operates a portfolio of cannabis-related businesses in several verticals:
🥦 THC
· www.CannaCabana.com -- 151 stores are #1 in 🇨🇦Canada selling THC, CBD, & Accessories.
{Same Store Sales up 46% Y/Y. Gaining 1% national Market Share per quarter since launching the discount club biz model late 2021. See "Q3 RE RECAP" below for more info.}
⚕️ CBD
· www.NuLeafNaturals.com & www.FabCBD.com -- Top CBD brands in the 🇺🇸USA with 70%+ margins
· www.BlessedCBD.co.uk -- the #1 CBD brand in the 🇬🇧 UK -- is now delivering to 🇩🇪 Germany & 🇺🇸 USA, and soon to France & Italy.
🍶 ACCESSORIES High Tide owns 3 of the top 5 global 🌐 US CA GB DE FR IT🌐
Accessory eCommerce businesses, and a 4th in the top 10:
· www.GrassCity.com
· www.SmokeCartel.com
· www.DailyHighClub.com
· www.DankStop.com'23-'24 EXPANSION PLANS
CANADIAN -- B&M "Canna Cabana" STORES -- THC, CBD and accessories:
2021: 105 (goals achieved!)
2022: 150 (goals achieved!)
2023: 200
USA -- Accessories e-commerce: At over $30 million, it's always possible that High Tide will pick up one more accessories e-commerce business to add to the other four.
GERMANY -- THC, CBD and accessories: already planning to establish a presence in Germany pending US decision/reschedule. Leading Canadian Cannabis Retailer To Open German 'High Street' Shops For Adult Use [12/10/22] -- https://businesscann.com/leading-canadian-cannabis-retailer-to-establish-german-adult-use - high-street-shops/
USA -- THC: Globally, High Tide has 3,000,000 High Lifetime Value (LTV) customers in its database (2.4 million in the USA) who have purchased accessories (pipes, bongs, vaporizers, dab rigs, etc.) -- segmented by country and US state.
Raj said, "We've had conversations with multiple US groups about a potential acquisition." Considering all factors (inflation, rising interest rates, falling stock market prices, cannabis sector, access to capital, etc.) it is likely that High Tide will have a 2nd mover advantage for US M&As at attractively low multiples, reaffirmed that they intend to become a top 5 US MSO.
INFORMATIVE VIDEOS & ARTICLES
High Tide Recaps Key Milestones of 2022 [12/30/22] -- https://hightideinc.com/high-tide-recaps-key-milestones-of-2022/
High Tide CEO On M&A, New Products And 3 Factors Holding The Cannabis Stock Back [12/22/22] -- https://www.benzinga.com/markets/cannabis/22/12/29959300/high-tide-ceo-on-m-a-new-products-and-3-factors-holding-the-cannabis-stock-back
How High Tide Became the ‘Costco of Cannabis’ [11/23/22] -- https://www.cannabisbusinesstimes.com/news/how-high-tide-became-the-costco-of-cannabis-canna-cabana/
Q3 2022 ER RECAP [reported 9/14]
https://hightideinc.com/high-tide-reports-third-quarter-2022-financial-results-featuring-a-98-increase-in-revenue-and-tenth-straight-quarter-of-positive-adjusted-ebitda/
A) Q3 ER showed continued growth in same store sales and 1% in market share every quarter! The discount club concept launched in late 2021 continues to drive sales & loyalty.
· Revenue $95.4MM - up 98% Y/Y -- 18% seq
· SSS (aka Same store sales) up 46% Y/Y -- 18% seq
· Adj EBITDA $4.2MM - up 176% Y/Y -- 77% seq
· Revenue now on $450+MM run rate.
📊 Graph of High Tide's National Market Share growth by quarter (since launching the discount club biz model) -- https://pbs.twimg.com/media/FlO4PLiXgAQbY4e?format=jpg&name=small
📊 Graph of High Tide's revenue growth -- https://pbs.twimg.com/media/FkhCCy-X0AMy8pg?format=png&name=small
B) NDF: $19M in Non-Dilutive Financing alleviates any cash concerns at industry leading <9% interest rates. https://hightideinc.com/high-tide-closes-19-million-non-dilutive-credit-facility-with-connectfirst-credit-union/
C) Cabana Elite monetization : Raj going to start to monetize the membership by EOY. Profits go straight to the bottom line. 900k members now. Example: if 20% of 1M members (200k) subscribe at $5/month ($60/year), that's an extra $12M in profit!
High Tide Launches Exclusive Paid Membership Program: “Cabana Elite” [11/29/22] -- https://hightideinc.com/high-tide-launches-exclusive-paid-membership-program-cabana-elite/
DISCOUNT CLUB BIZ MODEL [launched 12/20/21. paid Cabana Elite membership launched 11/29/22]
Launched 10/20/21 with 245K members. Currently 900K+ members as of EOY '22! https://hightideinc.com/high-tide-becomes-north-americas-first-cannabis-discount-club-retailer-with-over-245000-members/.
This was a DATA DRIVEN decision based on successful pilot programs
Membership in this loyalty program is FREE. Every person who walks into a Canna Cabana sees a high cost for non-members, and a discounted cost for members. When they realize signing up for FREE with their email address and phone # (SMS) makes them a MEMBER of the CABANA CLUB, they will do so in order to save money on that purchase and future purchases.
Stores are stocked w/ HIGH MARGIN products like consumption accessories, CBD, and house brands of shatter & gummies & prerolls -- with other form factors later.
Market Share and Same Store Sales growth are WAY up (see Q3 ER recap above) Q over Q while the other retailers (& USA MSOs btw) are seeing declines.
MEANING OF THE ACQUISITION OF NULEAF NATURALS [acquired on 11/22/21]https://hightideinc.com/high-tide-continues-expansion-into-global-cbd-market-with-acquisition-of-colorado-based-nuleaf-naturals/ Headquartered in Denver CO, NuLeaf Naturals is one of the leading CBD brands in the United States in terms of CBD blend research and intellectual property, rapid growth, and industry-leading margins. $16 million of the ~$20 million in revenue is directed to the consumer, but the expanding deal with Sprouts will allow for B&M's wider retail distribution. It is notable that their facility is cGMP certified. It can generate up to 60,000 vegan soft-gels per hour, or 25% of their activity. FabCBD production, co-packing and shipping were moved to the facility to save costs through operational efficiency. NULEAF comes with a cGMP certified manufacturing facility in Denver CO, USA, state of the art in CBD and other cannabinoids
🏧 KIOSK (FASTENDR) [launched 5/1/22]
https://hightideinc.com/high-tide-to-acquire-fastendr-retail-kiosk-and-smart-locker-technology-through-acquisition-of-bud-room-inc/. {Launched 5/1/22. Currently 175 Fastendr kiosks are operational in 120 Canna Cabana stores as of EOY '22}
The Discount Club model is causing long lines out the door. Taking a page from major retailers in other industries, this allows customers to order online or at a kiosk and collect from a "smart" locker. For those customers who know what they want and don't need budtender guidance, this is a handy convenience. Very few dispensaries in the world have this experience. Also mentioned in the PR is a desire to license this technology to other dispensaries and industries which could turn into another revenue stream. Delivery will be made available to all locations permitted by law but this offers a fast, convenient and quick way to ordecollect. It also cuts the dollars spent on budtenders by keeping the lines moving.
+ 🌿 SEEDS [Launched 12/13/22]
https://hightideinc.com/high-tide-enters-new-vertical-in-the-united-states-with-launch-of-cannabis-seeds/
Selling seeds is another high-margin revenue stream growing HITI's $3 million global customer database of High Lifetime Value users!
COMMANDING ECOMM RETAILER MULTIPLES
High Margin Private Label THC and FabCBD.com / BlessedCBD / NuLeaf, one of the main reasons High Tide is expected to be profitable later in 2023. When high tide...
A) Sells most accessories and CBD worldwide.
B) Owns multiple businesses in the US.
C) Sells data, kiosks and cannabis seeds
D) Selling their private label (think Kirkland) edible THC, vape and flower brands. E) Supplies supplies to dispensaries in multiple states.
F) PARTNER WITH STATE OPERATORS TO GIVE THEM ACCESS TO SELL THC TO THEIR HIGH VALUE CANNABIS CONSUMERS OVER 3 MILLION LIVES ...still only considered a Canadian cannabis retailer?

Hello.
I will try to make this as concise and accurate as possible so to make it easy to read.
First off, I noticed a mall bump on the shaft of my penis. I barely noticed it was there but it is there. It is a single wart and it does not itch or hurt.
At first I was very upset but then after reading wikipedia page it basically boils down to if you have them you can just remove the warts but the virus is still in your body and there is nothing that you can do. Your own body will handle it in a long time.
Many sources claim that it is basically harmless for men unless it grows too much? Is it true?
Now the strangest part of this problem. I never had sex, I never even had a girlfriend, absolutely nothing. How the heck I got infected then? Most of the online sources claim that it is a sexually transmitted disease and it can be transmitted with skin to skin contact. I basically had no skin to skin contact with a woman or any other human being in genital region.
Last question, should I take extra precaution when touching my genitals? I mean should I take extra care when going to the bathroom to wash my hands thoroughly and to sanitize my razor when I shave my scrotum and penis? I don't want anyone else to get these warts because of me and there is barely and good read online.
It will be a while before I can get a doctor's appointment (about 2 weeks) but I really need these questions answered because it really bothers me and I need them answered before I can go to the doctor.
Thank you in advance.

My partner and I met in an event in October 2022 and went on dates until we became official in early March 2023. He has been my most loving and caring relationship. Despite some challenges (mostly from external circumstances like schedules & family dynamics) - we are pretty compatible and we choose each other everyday.
Yesterday, he messaged me randomly and said if he can talk about something he did in the past. We met up and told me that he cheated on his ex before, 3 years ago, when he was 17. He explained that it was his first relationship and he wasn’t really sure what to do in it, and because he was pretty young at that time, the girl that was flirting with him convinced him that what they were doing (sexting) was okay. At the same time, he and his ex weren’t compatible and didn’t even develop a strong friendship in the first place. Eventually he told his ex and they broke it off. Since then, the guilt and regret eats him up. He said he’d never do it again because the pain he inflicted on his ex felt very wrong to him.
He was going to tell me at some point. But the main reason why he told me about the incident was because he dreamt the night before that he cheated on me and I left him. The feeling of me gone really shattered him and he woke up scared. Because of that dream, he felt like he had to come clean, even if that would mean there was a possibility I would leave him.
Upon hearing everything, I was triggered. My ex cheated on me in 2018 and at that time, I actually gave him a second chance and we continued the relationship. Yet, even after, he still exhibited behaviors that felt like he would cheat on me. My ex wouldn’t post about me because he wanted to look single, he suggested we do an open relationship, he requested he wanted to do a threesome, and he even messaged my friend telling her she was cute and stuff. That was my ex.
But my boyfriend now, he’s not like that. He proudly talks about me to his family and friends, he loves to post about me online, and prior to this, he would always remind me that we are committed to each other. Whenever we have a misunderstanding, he initiates we talk it out and make sure both parties are okay. When I call him out on something, he actually acknowledges it and does better. He fulfills his promises. I have never felt so loved and appreciated in a relationship, even though, I naturally have bouts of anxiety every once in a while because of my past traumas.
And that’s where I need help with. I’m an incredibly anxious person especially in relationships. I admit that I have attachment and abandonment issues. I told him after all this that I am giving him a chance because 1) it was a mistake committed 3 years ago when he was a teenager, 2) I believe that over the course of those three years, he changed and grew from it (because I have also grew from my toxic behaviors three years ago too so if I can do it, he can do it), and 3) I would like to believe his past doesn’t define him and that I love him for his present and future self.
The whole day we were in tears. We were both so vulnerable. I told him that my trust for him was shaken, like it fell back a few steps. I admitted that for the next few weeks or even months, I will be experiencing more doubts and anxieties than ever and he’ll have to put in more effort to rebuilt that trust and we laid down ground rules for this work. At some point, he started crying because he wish he never did it since it now affected a relationship he genuinely wants to pursue and keep. He fears that we will never go back the way we were. He fears that no matter how hard he tries to rebuilt my trust, I will still doubt him. And thats also my fear.
I know its inevitable for me to feel doubt every once in a while. Even he does! But I don’t want that to be the only feeling I experience in this relationship. There have already been so many good memories in this relationship. My gut feeling tells me this is gonna work out, and possibly, even strengthen our relationship.
I just have fears that what if it happens again. It doesn’t help that people consistently shove down people’s throats that ‘once a cheater, always a cheater’ - of course, that does happen, but in some cases, people do actually change. He admits that attraction to others still exist (I mean, same thing goes for me) - but he will never act upon them because of our relationship. He doesn’t wanna lose me. I’ve been taking his word for it and I can feel the genuineness from him. I don’t want to lose him either.
I guess I’m just babbling over him to release my anxieties and seek reassurance, especially to those who have actually worked things out with someone who was a cheater. How do you lessen those doubts and anxieties? I don’t want to hyperfixate on his past self (who I never even met) and completely forget his present self. I want to let go. He does too. And we’re both willing to do whatever it takes to make it work.
TL;DR: Boyfriend opened up about his past experience of cheating and has promised to never do it again. I am giving him a chance to rebuild that trust despite my anxieties.