The Web3/AI blog

I finally got got my Microsoft Chatgpt/Bing/Edge browser all working together. The planets must be aligned. In my case it was a little more involved since I am using Ubuntu/Linux on the desktop. I didn't like the idea of having to replace the google chrome browser, but they are quite compatible and it hasn't been a problem for me.  But I wanted to have a way to experiment with the Latest version of the chatbot without having to pay a monthly fee to OpenAI. The best way that I could find to do this was to use the one that Microsoft was offering, at least for now. Personally, I think that Google will eventually be incorporating a chatbot into their search as well, and there will be lots of others. I have to say that it is more convenient to have the AI answers along with the search, and I really like being able to ask the chatbot about the current site or document and have it understand the context. 

If you follow any of my blogs you know that I have been researching/experimenting/learning AI for the last few months. I have been trying out different use cases for this kind of tech, such as generative images using LLM's, and things like assistive writing for content creation like blogging, social media etc. Anyways, the use case that I would like to talk about here is something that has been on my mind for a while. I have been wondering if chatbots like chatgpt would be good tools for fact checking. I feel that this is a very relevant topic since there is so much mis-information out there, which is being spread and amplified by social media like twitter and facebook for example. Misinformation is really a much more complex subject than I had originally thought, but I will confine my current blog post to relatively simple posts on social media. Here is a good article on how to spot 

Lets say that someone you follow (or not) posts his opinion on a political subject of interest, or forwards a post that has been spreading around. Now, I really don't want to make this a political discussion, but I will mention that I am generally centrist, and can often agree or disagree with issues on both side of the spectrum. If the article is from a known source (such as a journal or newspaper), most people will assume there was some verification done by the author and won't bother doing further checking. They will agree or disagree and add their own comments based on their point of view. This seems to be the way that narratives get spread around Twitter for example. If something doesn't make sense to me, or I want to understand better, I can just ask the chatbot to check the facts, or give me further explanation. It can even summarize the articles or give you answers in context. To me, this is a huge step forward. 

I will give you a recent example. The point is not to take sides, but point out that the beliefs that people have are based on what they have heard in the past, and may not be based on fact, or may even have changed, or may be partially true. There are lots of different possibilities. Here is the example: Someone was saying how the republican party is perceived as being the one that stands for less government or less spending and should be better for the budget. 

which US political party has a better record of lower deficits?

According to a study from the National Bureau of Economic Research, Democratic presidents since World War II have performed much better than Republicans. On average, Democratic presidents grew the economy by 4.4% each year versus 2.5% for Republicans. The study also found that the economy has performed substantially better under Democratic presidents. 

On average, real (inflation-adjusted) GDP has grown about 1.6 times faster under Democrats than under Republicans

However, according to Forbes, on the economy and jobs, republicans have the better track record

Since 1981, federal budget deficits have increased under Republican presidents Reagan, both Bushes and Trump, while deficits have declined under Democratic presidents Clinton and Obama

Everything is hyperlinked with citations and references. You can dig down as far as you want, and get reasons or further explanations. But the point I am trying to make, (I emphasise without getting political) is that the facts often go against generally accepted beliefs. And now we have a more convenient way for fact checking and learning. 

Apparently, Elon Musks new AI company iemphsises going to be working on a language model called TruthGPT for this purpose. I am quite sure that gfiven the proper resources that this kind of tool can be built and incorporated into the moderation process. Personally, I think that it can be more objective and do a better job than humans, but it has to be open and transparent or it could be mis-used. 

Using Chatgpt for fact checking

Dave Swinbank - a blog about me, web3, my insights, opinions and thoughts.

 I want to talk about areas of growth within the industry. The Crypto market as a whole is a still kind of a niche market and anyone who wants NFT's to grow needs Crypto as a whole to grow and more adoption of blockchain technology. There aren't long enough to do anything than summarise some of my thoughts and you know how I love sharing them.

There are 2 main reasons that I believe the technology behind the blockchain and NFT's will catch on. The first is that the blockchain as a whole is an immutable ledger. Every transaction is visible to anyone who wants to see it. The second is that NFT's are unique identifiers that can carry anything, attached to an end user. The overriding thing for me is that both promote accountability and individual responsibility. 

An immutable ledger is what so many people want, even if they don't realise that is what they are asking for. The ability to see every transaction is both a little daunting and a little exciting. It's the anonymity aspects that are most intriguing. If there is an insistence for anonymity then this space doesn't progress as quickly as I believe it can. There is a fine line between digital ID's and government enforced digital ID's, but that (and CBDC's) are for another time.

If you've been following me for a while, you probably know why I believe end user ownership is important now and why I think it will become even more important. To summarise though, I think with the progression of blockchain technology, AI and the moving attitudes/feelings towards corporations, more and more people will want ownership and clarity over their things, digitally or physically. And this includes work and jobs. Content creation is only ever going to grow and owning that content will be important.

When humans were an agricultural society, we ran on credit and debit. People borrowed their seeds and then gave some of their yield to the people that provided them with seeds. It was also a way to barter if you only grew one thing. The term yield doesn't start 7000 years ago, it came about in the middle ages. My point is that humans don't know another way of handling money. In todays society it is no different. 

Car finance, credit cards, mortgages and loans are all personal credit. Money is borrowed to buy a thing and then paid back over time. It's the only way some big purchases are possible for the vast majority of people. This is also true of companies and governments. Most world governments are in debt to the tune of their GDP (if not more). To clarify, most countries owe more money than their whole economy can produce in output in a year. 

How do governments deal with this huge amount of debt. In a variety of ways but quantitative easing is one way. This is where the central banks and/or governments effectively print money to stimulate their economies. This has a multitude of impacts and I don't have enough room to explain them all today, and you will need more knowledge than I can offer to understand it fully. The main point is it means the supply of a currency can be increased and that can destabilise a lot of things economically inside a country. 

Fractionalised banking just adds fuel to this debt fire. Banks only need to keep a small percentage of deposits in hand, to pay people that want to withdraw their money. This has been approved by most governments and is the current way of banking. That means banks can lend a huge sum of their deposits to make an income. This can be via investments, stocks, bonds, loans, mortgages or other forms of credit. 

There are so many reasons for DeFi and Crypto, but regarding my points above. The token is bought, earned or mined and you know how that works before you pay for it, put in the work or the power. You know if the 'currency' you are buying is inflationary or not. You are in control of your funds. If they are in your wallet, they are not being lent out without your permission. There are quite a few assumptions in those statements, but when you add in the immutable ledger aspects I think they are fair. If not today, they will be over time. 

The most important aspect of the Web3 space is the ownership. NFT's are about unique end user ownership and the benefits that can come with that. At least for me. You, as an end user, own whatever it is that is attached to the NFT. This is immutable and stored on the blockchain. You can attach anything you can think of too an NFT, as long as it has the data storage for it, including physical items. If it doesn't have the data storage required, then it can be a membership token to a place that does have that data storage. 

This is an opportunity for consumers to really understand the products they are buying and what rights they have as a user of that product. The Intellectual Property aspects of art and brands is fascinating to explore, the potential is ridiculous and each artist or brand gets to clearly define what their buyers, collectors or end users get as part of their purchase. All terms and conditions can be wrapped into the NFT. This is an opportunity for businesses and customers to do transactions differently. 

Without going into all the potential use cases for NFT's, there are a lot, I want to cover two. I think they are big. The first one is ticketing, for concerts etc. Imagine if Ticketmaster was taken out of the game. The artist and venue would be in full control of any resales (they could limit to a max  of 25% above purchase price and one sale for example) and both have the potential to earn royalties from those sales. Digital tickets have been a thing for a while. 

And data, my big one. When we browse on the blockchain, rather than on Bing or Google, we will be able to attach our data to an NFT. Then as a group, based on our demographics, we will be able to sell our data. Either to companies wanting to build AI language models, do market research or to the blockchain so our wallets can be hit with targeted adverts. Even if we don't drive individual income, we are our own date controllers. 

Web3 gaming will be huge. It just will. Will the gamers know it is Web3? Time will tell. One thing I do know is that our industry needs to stop telling Web2 gamers they need to change and that they are gaming wrong. If someone told you everything you are doing is wrong, or sucks, would you want to hang with that person, try out their tech? Probably not. 

There are a few problems to overcome before the traditional gamer will buy in to games here. Confirming transactions is one of the biggest things. On-Chain gaming needs to figure that out. A lot of the UI/UX is still incredibly clunky and not smooth to navigate. A lot of games aren't games as such, there is no user input that determines the outcome, or no live gameplay for the end user. The gaming demand isn't there to drive development in terms of playability. 

There problems aren't insurmountable and people making games in the Web3 world need to focus on a few things. Remove the need to continuously sign transactions and that could be through a custodial wallet or a portal log in. Keep the user experience fun and simple (there are 100's of games to look at for inspiration and ideas). Reward people in a fun way for taking part, make this a key part of the games eco system. 

These are all the start of points to be made as ever, please look into it further. The only way more people come into crypto is if we make it accessible and understandable. Show the benefits without telling people the way they do things is wrong or idiotic. 

It's been fairly heavy today, I appreciate that, it's why I shared more images than usual. As ever I welcome your opinion and thoughts. Welcoming other perspectives is one of the ways I grow. Thank you for your company and time, I will catch you next Friday! 

If you got this far and you haven't subscribed to my #BlogCast on Spotify, then you can listen to the latest episode (last weeks Blog) and subscribe 

A summary of some key areas for growth

Areas We Can Grow as an Industry - Issue 45

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Entrepreneurial Careers & The Future of Work

On LIFE: Spirituality, Philosophy & Parenting

A sample of the best content I consumed this week…and you should too

4/30 & 5/7 – The Itinerant Weekly – #43 & 44

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The world of technology is ever-evolving, and the fusion of artificial intelligence (AI) and machine learning with blockchain and cryptocurrency applications is a testament to that. As we continue to explore the endless possibilities of AI-generated content, it's essential to understand the role AI and machine learning play in revolutionizing the blockchain and crypto space. In this article, we'll delve into the advanced applications of AI and machine learning in these domains, assuming extensive prior knowledge of the subject matter.

AI and machine learning have become indispensable tools in various industries, from healthcare to finance. By leveraging the power of algorithms and data analysis, these technologies can identify patterns, make predictions, and optimize processes. In the context of blockchain and crypto applications, AI and machine learning can enhance security, improve efficiency, and unlock new opportunities for growth.

One of the most significant advantages of blockchain technology is its ability to provide a secure and transparent environment for transactions. AI and machine learning can further bolster this security by detecting and preventing fraudulent activities. For instance, AI-powered algorithms can analyze transaction patterns to identify anomalies and flag suspicious activities in real-time. This proactive approach to security helps maintain trust in the blockchain ecosystem and ensures the integrity of crypto transactions.

Cryptocurrency trading has become increasingly popular, and AI and machine learning are playing a crucial role in optimizing trading strategies. By analyzing vast amounts of historical and real-time data, AI-powered trading bots can identify trends and execute trades with precision and speed. This not only helps traders maximize their profits but also minimizes the risk of human error. Furthermore, machine learning algorithms can adapt to changing market conditions, ensuring that trading strategies remain relevant and effective.

Smart contracts are self-executing agreements that run on blockchain platforms like Ethereum. They have the potential to revolutionize industries by automating processes and reducing the need for intermediaries. AI and machine learning can enhance the functionality of smart contracts by enabling them to learn from past transactions and adapt to new situations. This can lead to more efficient and cost-effective contract execution, benefiting both businesses and consumers.

Driving Decentralized Finance (DeFi) Innovation

Decentralized finance (DeFi) is a rapidly growing sector within the blockchain and crypto space, offering a wide range of financial services without the need for traditional intermediaries. AI and machine learning can drive innovation in DeFi by optimizing lending and borrowing platforms, creating more accurate risk assessment models, and enhancing the overall user experience. By harnessing the power of AI, DeFi platforms can offer more competitive rates, better security, and a more seamless experience for users.

Cryptocurrency mining is an energy-intensive process, and concerns about its environmental impact have led to calls for more sustainable solutions. AI and machine learning can help address this issue by optimizing mining algorithms and hardware, reducing energy consumption, and improving the overall efficiency of the mining process. This not only benefits the environment but also lowers the operational costs for miners, making the blockchain ecosystem more sustainable and accessible.

The Future of AI and Machine Learning in Blockchain and Crypto Applications

As we continue to explore the endless possibilities of AI-generated content, it's clear that AI and machine learning have the potential to revolutionize the blockchain and crypto space. By enhancing security, optimizing trading strategies, streamlining smart contracts, driving DeFi innovation, and facilitating energy-efficient mining, these technologies can unlock new opportunities for growth and transform the way we interact with digital assets.

The fusion of AI and machine learning with blockchain and cryptocurrency applications is a powerful combination that promises to reshape the technological landscape. As we continue to push the boundaries of what's possible, it's essential to stay informed and engaged with these cutting-edge developments. The future of blockchain and crypto applications is bright, and AI and machine learning will undoubtedly play a pivotal role in shaping that future.

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Sharing is caring, and by spreading the word about this newsletter, you're helping to support ME and ensure that more great content gets produced in the future. Plus, you'll get to have even more conversations with your friends about the interesting topics covered in each edition.

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The Role of AI and Machine Learning in Revolutionizing Blockchain and Crypto Applications

Unleashing the Power of AI and Machine Learning in Blockchain and Crypto Applications

Pink Sink

a project about personal growth and the pursuit of a life less complicated

In the past few weeks I have been dupped at least twice, if not more, and I don't know how I feel about it.

You see, I have found myself admiring and newsletter image or art piece or two thinking 

wow, that's really cool. I wonder what camera settings they were using? 

Just a few keystrokes, apparently, as I would come to find out, at a later point in time, that our old friend AI was more than likely behind the digital brush.

Actually, I do know how I feel about it. I am not upset that AI was used. It opens up wonderful possibilities to those who lack the time, resources or talent or any combination of those. Finding or creating the right image can be a chore, especially for those of you who really have no interest in it or have the vision but just don't know how to express it. Not to mention the legal gray space of slinging images online. And for all of you click-bait 

, this must be like Christmas morning for you. 

But I am concerned that no one thought to tell me.

I can already feel a line in the sand being drawn in the the creator space. Things are going to get interesting real quick from here.

I've got my A.EYE. on you

This one's about AI. AI creativity, AI benefits, AI risks, my opinions and thoughts about AI. And some AI art. Claimable to people who hold #Brand Davc_s NFT's only, until 12:14PM GMT on the 05th May. You will find this claim embedded below, there is a platform fee to pay of around 1 Matic. I am excited to talk a little more about AI as well as being excited about creating AI artwork with Jounce and releasing it as an NFT. I'm pretty sure there is more to come.

I am absolutely fascinated by AI and what AGI (Artificial General Intelligence) will look like. It's so incredibly interesting, not only in regards to what happens today but for the future as well. Decisions taken today about AI and AGI could impact humanity for thousands of years. And by a lot of accounts, humanity is still in it's infantile stages. There are potentially trillions of humans to come and by our records, there's barely been billions. 

It doesn't matter what decisions we take, how we weight them or what our intentions are. We will not be able to predict all of the outcomes of this technology. There will be impacts that we cannot foresee. I still believe that AI is a net positive for humanity. 

The AI cat is out of the bag, or the AI Pandora's Box has been opened and there is no way back now. We have to run with it. Countries and people that sleep on AI, that dither for too long, that run away from it will be left behind. 

What's the best thing we can do? I don't know but I have my thoughts. Not everyone will agree with me and that's OK. This is something we hopefully get to work out together. And that's the most important thing for me. That AI tech is not gatekept by wealthy institutions. That anyone can pick it up and play with it. This way humanity as a whole gets to influence the direction of AI. Together we get to decide what values and rules should be made. 

Beyond allowing anyone to use the technology, which will allow all of humanity to decide the potential values we lock in to AI, what else do I think we should do? Asking questions is such an important thing. Only be asking questions do we get to potential answers. You can do this in the Web3 space or anywhere else. You should be sharing AI with your family and friends. Explaining the benefits and the use cases, as well as sharing your personal experiences. 

But it wont carry much impact some may say. I think those people are wrong. Who knows what someone takes away from a conversation about AI, where their thoughts go or who they speak to about it. To give an example. Jay Stansfield has been able to speak with the developers and team at 

, because he was willing to ask questions. 

Is there anything else? Play with AI. Use it. Think of exciting things to do with it, or mundane things. AI will end up doing a lot of mundane things for humans, that's a given. If you are bored, you can try this, I saw it on a video somewhere, maybe The Mumzels shared it with me... Ask AI to create a prompt from a photo you have taken, then feed the prompt back into the AI generator and see what version of reality AI produces. I think they used mid journey for their example.

Are there any actions I think we should take now? I am not sure I agree with pausing the technology. I think that continues to unfairly advantage people in positions of power. At the same time I am fully aware that there are a lot of risks that come with new technologies and I think governments are underprepared for so many of them. I don't think there is a yes or no answer here and some form of guidance, regulations and rules will be needed. 

I think it's important to protect human creativity, discovery, exploration and innovation  and I personally believe the best way to do that is with a watermark. It is something the AI art community does very well from my perspective and I think writers could do this better. I also feel a watermark gives people consuming content the tools they need to understand that content and what it means, as well as where it comes from. 

The last thing I would encourage you to do is think about AI for yourself. If AI can work well enough within medicine that it could cure hereditory diseases/illnesses then it could probably create hereditory diseases/illnesses. For every positive impact AI can have, the opposite is true. It wont be AI that is malevolent or evil, it will be the people using it, at least until we get to AGI. 

What do I mean when I say AGI. I mean AI that has human levels of competence at everything it does, from cognitive to physical tasks. For me, this means the field of robotics has a lot of development to make before AGI is possible. I know others feel that AGI comes with AI sentience, I don't, I think AI sentience is a different thing to AGI. Sentience essentially means a sense of self. AGI means it will be able to turn itself on and recreate itself. 

Some experts say AGI could be as far away as 50 years from now. I suspect it is much faster. When AGI arrives, the values we have placed on AI will be locked in and very difficult to change. AI will learn from humans, until it surpasses us. You could say humans are AI's parents. It is our job to nurture it, to teach it and most vitally to show it how important humanity is and how highly humans regard human life. 

My worst case scenario is if AGI learns to have no regard for humans. That it chooses to make decisions that don't take long term human survival into account. Before I talk about my free mint below, why is this so important now? In less than 6 months Chat GPT went from 0 users to over 100m. That's an insane adoption rate. Make sure you are onboard for the next technological wave. 

Free mint you say? Yep, I do, however there is a fee placed on this mint by the platform (I need to get my own website, so I can use 

and you just pay for gas). This one is for people that have collected one of my Brand #Davc_s NFT's. The mint will be open for a week. They have been released alongside this blog. I don't need to justify this decision, but I want to reward the people that have taken time and effort to support me beyond consuming my content. And as much as I greatly appreciate those that do consume said content, I don't charge any money for access to this content. 

I want to release some AI collections and have some ideas. Holding my NFT below will get you the opportunity to be involved early in those collections. I intend to start small and am excited to be playing a bit more. AI art generators seem to have caught up with my expectations. 

Regarding my first AI artwork, created by/on/with 

's art generator, I was trying to make a logo. The first image produced was a camera lens, I had asked for photography to be shown, amongst some other things. This was the second image created and although it does not include the wording #Davc_s, it had everything else I asked for, if not the way I expected to see it. 

This AI artwork was created on Jounce.ai with my input on 25th April 2023. I was trying to get a logo from Jounce's art generator and this was the third art piece Jounce created from the following prompt details. Please create a logo in a modern font, include the text #Davc_s, that shows photography and an open and accessible brand.

#Davc_s - AI Art - Blog

I will be adding more mint's into my blog and from next week I will be adding an NFT weekly that anyone can claim. Occasionally I will run a limited number mint, first come, first serve and I will continue to add mints that are only available to my Brand #Davc_s holders. 

AI is a lot. I love it, for all the questions I ask, don't forget that. Thank you for choosing to spend your time reading my blog, I hope you have a wonderful weekend and I will catch you next Friday. 

My opinions, perspectives and thoughts

AI - Benefits, Risks and Considerations - Issue 42

ChatGPT is a large language model developed by OpenAI, based on the GPT-3.5 architecture. One of the unique features of ChatGPT is its ability to prompt users to generate a chain of related thoughts or ideas in response to a particular question or topic. This technique, known as chain of thought prompting, is a powerful tool for promoting cognitive flexibility and adaptive thinking.

 in ChatGPT involves prompting the user to generate a chain of related thoughts in response to a particular question or topic. The model then uses these responses to generate a more complex and nuanced response, based on the user's initial thoughts and ideas. This process allows users to explore the relationships between different ideas and gain a deeper understanding of their thought processes.

To illustrate the technique, consider the following example: A user might ask ChatGPT, "

What are the benefits of regular exercise?

" ChatGPT might then prompt the user to generate a chain of related thoughts in response, such as:

Based on these responses, ChatGPT can then generate a more complex and nuanced response that takes into account the user's initial thoughts and ideas.

Chain of thought prompting in ChatGPT can be used in a variety of contexts, including education, therapy, and decision-making. In education, it can be used to help students develop their critical thinking skills and to encourage them to explore complex concepts and ideas. In therapy, it can be used to help individuals overcome negative thought patterns and to develop more adaptive beliefs and attitudes. In decision-making, it can be used to help individuals explore the potential consequences of different options and to make more informed and rational decisions.

There are several different techniques that can be used to facilitate chain of thought prompting in ChatGPT, including 

keyword prompts, open-ended prompts, and guided prompts

. Keyword prompts involve prompting the user to generate a chain of related thoughts based on a specific keyword or phrase. Open-ended prompts involve prompting the user to generate a chain of related thoughts based on a more general question or topic. Guided prompts involve providing the user with a set of specific questions or prompts to guide their thinking and exploration of a particular topic.

Chain of thought prompting in ChatGPT has several benefits. It allows users to explore complex topics and ideas in a structured and organized manner, promoting cognitive flexibility and adaptive thinking. It also allows users to gain a deeper understanding of their thought processes and to identify and challenge negative or irrational beliefs.

However, there are also some limitations to the technique. One potential limitation is that ChatGPT may not always generate a response that accurately reflects the user's initial thoughts and ideas. Additionally, the technique may not be suitable for individuals with severe cognitive impairments or those who are experiencing acute distress or anxiety.

Chain of thought prompting is a powerful tool for promoting cognitive flexibility and adaptive thinking, and it is a key feature of ChatGPT. The technique involves prompting the user to generate a chain of related thoughts in response to a particular question or topic, which can then be used to generate a more complex and nuanced response. While there are some limitations to the technique, overall, it has several benefits and can be used in a variety of contexts, including education, therapy, and decision-making.

Few examples of chain of thought prompts that ChatGPT could generate:

These prompts are designed to encourage individuals to generate a chain of related thoughts and explore complex ideas in a structured and organized manner. By generating a chain of related thoughts, individuals can gain a deeper understanding of a particular topic and develop their critical thinking skills.

One potential application of chain of thought prompting in ChatGPT is in the field of education. By prompting students to generate a chain of related thoughts in response to a particular question or topic, teachers can encourage them to explore complex concepts and ideas in a structured and organized manner. This can help students to develop their critical thinking skills and to gain a deeper understanding of the subject matter.

Another potential application is in the field of therapy. Chain of thought prompting can be used to help individuals overcome negative thought patterns and to develop more adaptive beliefs and attitudes. For example, if a person is struggling with anxiety or depression, ChatGPT can be used to prompt them to generate a chain of related thoughts about their thoughts and feelings, which can then be used to identify and challenge negative beliefs and to develop more positive and adaptive attitudes.

Chain of thought prompting can also be used in decision-making. By prompting individuals to explore the potential consequences of different options, ChatGPT can help them to make more informed and rational decisions. This can be particularly useful in situations where there are multiple options available and the consequences of each option are complex and difficult to predict.

Overall, chain of thought prompting is a powerful tool that can be used in a variety of contexts to promote cognitive flexibility and adaptive thinking. While there are some limitations to the technique, overall, it has several benefits and is a key feature of ChatGPT. By prompting users to generate a chain of related thoughts in response to a particular question or topic, ChatGPT can help individuals to explore complex ideas and gain a deeper understanding of their thought processes.

For slightly more advanced prompts, think about what you are doing as programming in English prose. You can give the AI instructions and it mostly-sort-of follows them. Mostly, because there is a lot of randomness associated with AI outputs, so you will not get the consistency of a standard computer program. But it can be worth thinking about how you can provide a very clear and logical prompt to the AI.

A lot of active research is happening around the best way to “program” an LLM, but one practical implication is that it can help to give the AI explicit instructions that go step-by-step through what you want. One approach, called 

, gives the AI an example of how you want it to reason before you make your request, as you can see in the illustration from the paper.

You can also provide step-by-step instructions that build on each other, making it easier to both check the output of each step (letting you refine the prompt later), and which will tend to make the output of your prompts more accurate. Here is an example: ChatGPT is generally really bad at creating interesting puzzles and scenarios to solve, either making things too easy or impossible. But if we are explicit and step-by-step about what we want, the results are much better:

You a game master. Your job is to come up with interesting challenges for the player to solve. Describe a challenging fantasy scenario, and enable me to solve it in an interesting way. You will use the following format to help create a series of responses.

[Step 1]: Decide on the the scenario, making it original and vivid and not standard fantasy. The scenario can involve combat, a trap, or a puzzle. The scenario must not involve riddles or the elements. Make sure there is a solution to the scenario. Make the solution require clever thinking. Include the solution in [] brackets

[Step 2]: Decide on the scene. Make sure that the player has the option to solve the scenario based on the descriptions. Make sure the solution is not clear, but requires clever reasoning based on the scene. Make sure there are very different false solutions that seem plausible. Include the detailed true solution and describe the false solutions, as well as how the player would find the true solution in [] brackets

[Step 3]: Describe the scenario and the scene, vividly and originally. Make sure there are clues to the solution and credible, but very different, false clues to the wrong answer in the description. Do not describe the solution or the problem directly. Do not describe how to solve the problem in this step. Do not describe the false clues as false.

Begin by introducing yourself and go through each step in order."

Again, there is no single template here. You need to experiment with your “program” multiple times to get a good answer, but there is an art to it that you can learn with time.

Okay, I lied slightly about the “there-are-no-magic-words” thing. There are some phrases that seem to work universally across LLMs to provide better or different results, again, by changing the context of the answer. Some possible things to experiment with:

Explore Complex Ideas and Gain a Deeper Understanding of Your Thought Processes with ChatGPT's Chain of Thought Prompting

ChatGPT's Chain of Thought Prompting: A Powerful Tool for Cognitive Flexibility and Adaptive Thinking

I forgot to publish last week’s edition, so this week is 2x the normal length. In it, I touch on: how the future of social engagement is depth, not breadth; Nearly half of Americans have a side-hustle; Co-founder of Ethereum spells out the five trends that will shape life in the 21st century; why the banking crisis is just beginning; the future of tokenization of assets; Y Combinator’s latest class of startups; in the future our houses will be computers; privacy of thought will be a topic of importance in the near future; US/China fighting a commercial war over internet cables; Brainstorming ChatGPT businesses with a billionaire; Is AI the next great computing platform?; What is science’s claim to “Truth”?; we can now make embryos, how far should we go?; a Chernobyl-level event for AI may be imminent; to supercharge learning, look to play; and a free tool from MIT to teach coding to children.

Half of US Employees Earn Extra Cash on the Side, Survey Finds

Why the 2023 Banking Crisis is Just Getting Started

With This 1 Move, Avalanche Is Making It Possible for Everyone to Invest Like Billionaires

Why the Future of the Computer Is Everywhere, All the Time

Wearable Brain Devices Will Challenge Our Mental Privacy

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 (ZKML) is an emerging field that addresses the challenges of privacy and confidentiality in machine learning. In traditional machine learning, data is typically collected and analyzed by a central authority, which presents significant risks in terms of data breaches, privacy violations, and misuse of sensitive information. ZKML, on the other hand, enables data analysis without revealing the raw data or sensitive information.

The concept of zero-knowledge proof (ZKP) serves as a fundamental building block of ZKML. A zero-knowledge proof is a cryptographic protocol that allows one party (

) that they know a specific piece of information without revealing the information itself. In the context of machine learning, a zero-knowledge proof allows a machine learning model to prove its accuracy without revealing the underlying data.

ZKML can be applied to various domains, such as healthcare, finance, and social media. For instance, ZKML can be used to develop machine learning models for disease prediction without compromising patient privacy. ZKML can also be applied in financial institutions to predict credit scores without exposing sensitive information about individuals.

One of the challenges in ZKML is maintaining the balance between privacy and accuracy. In traditional machine learning, models are trained on large datasets, which enables the model to make accurate predictions. However, in ZKML, the data remains private, and therefore, it is challenging to train a model on a large dataset. As a result, the accuracy of the model may be compromised, and it may require more iterations to achieve reasonable performance.

There are several approaches to ZKML, including homomorphic encryption, secure multi-party computation, and differential privacy. Homomorphic encryption is a technique that enables computation on encrypted data without decrypting it, while secure multi-party computation enables multiple parties to compute a function while keeping their inputs private. Differential privacy, on the other hand, adds noise to the data to preserve privacy while maintaining the accuracy of the machine learning model.

Another challenge in ZKML is the complexity of the cryptographic protocols. ZKP, homomorphic encryption, and secure multi-party computation all involve complex mathematical algorithms and computational overheads, which can make ZKML models computationally expensive. However, recent advances in cryptography and hardware have enabled the development of efficient ZKML models that can handle large datasets.

ZKML also raises ethical concerns, such as the potential misuse of the technology for malicious purposes. For instance, ZKML can be used to develop models that predict sensitive information, such as political affiliations, sexual orientation, or religious beliefs, which can be used to discriminate against individuals or groups. Therefore, it is essential to develop ethical guidelines and regulations to ensure the responsible use of ZKML.

In conclusion, ZKML is an exciting and rapidly evolving field that has the potential to transform machine learning while addressing the challenges of privacy and confidentiality. ZKML provides a novel approach to data analysis that enables accurate predictions without compromising sensitive information. However, ZKML also presents several challenges, including maintaining the balance between privacy and accuracy, complexity of cryptographic protocols, and ethical concerns. Further research is required to develop efficient and secure ZKML models that can handle large datasets while ensuring the responsible use of the technology.

Exploring the Challenges and Potential of Zero Knowledge Machine Learning for Privacy and Confidentiality in Data Analysis

Zero Knowledge Machine Learning

FortuneNode

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