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Whether you're brainstorming ideas, generating content, learning at an accelerated pace, or even creating images, ChatGPT is a resource that promises to elevate your capabilities to new heights. However, to truly capitalize on this tool, you must understand how to effectively engage with its features. This guide by AI Foundations aims to illuminate the path to mastering ChatGPT.

Custom Instructions: Personalizing ChatGPT

One of the most potent yet often overlooked features of ChatGPT is the ability to provide custom instructions. This personalization allows for tailored responses that align with your specific needs and preferences. By navigating to your profile and selecting 'Custom Instructions', you can input information about yourself and dictate the style and format of ChatGPT's responses. For instance, you could inform ChatGPT that you have 20 cats, and henceforth, it will incorporate that knowledge into relevant conversations. The use of custom instructions can refine the AI's outputs, ensuring that the guidance you receive is as pertinent and useful as possible.

• Accessing Custom Instructions: Navigate to your profile in the sidebar and select the "Custom Instructions" tab.
• Setting Preferences: You'll find two boxes. In the first, input details about yourself or your profession that you want ChatGPT to consider. In the second, specify the desired tone, formality, and response length.
• Utilization: By inputting "I have 20 cats," ChatGPT will remember this detail for relevant conversations. Additionally, using a custom personas database can enhance role-specific interactions, providing tailored advice.

Plugins: Expanding ChatGPT's Horizons

ChatGPT also boasts a plugins feature that opens up a world of possibilities. By visiting the plugin store, you can browse through a vast array of options that extend ChatGPT's functionality. From generating diagrams to summarizing YouTube videos, these plugins can be combined with custom instructions to create a tailored experience. For example, using the AI diagrams plugin, you can ask ChatGPT to visually map out complex processes like photosynthesis, providing you with a deeper understanding and a visual aid for further exploration.

• Accessing Plugins: Use the model selector to navigate to the plugins section.
• Exploring Plugins: Browse through the plugin store and select from categories or popular choices, like the AI diagrams plugin, which assists in creating visual representations of concepts.
• Using Plugins: After activation, you can directly ask ChatGPT to perform tasks using the plugin, such as generating a diagram to explain photosynthesis.

Web Browsing: Tapping into Current Knowledge

With the web browsing feature, ChatGPT can scour the internet for up-to-date information. This means that even if the AI's knowledge is capped at a certain date, it can still fetch recent data and articles, providing you with the latest insights and developments. Whether you're looking for news articles or specific content, ChatGPT can serve as an efficient research assistant, bringing the most relevant information to your fingertips.

• Enabling Web Browsing: Ensure GPT-4 is active to access this feature.
• Executing Searches: Direct ChatGPT to find articles or information using search commands, which it will execute using Bing.
• Analyzing Results: ChatGPT provides sourced information, offering links to the original articles for deeper insights.

Data Analysis: Embrace Your Inner Data Scientist

The data analysis feature of ChatGPT is like having a data scientist on call. By uploading files directly into the chat, you can ask ChatGPT to perform complex data analysis tasks, such as generating radar charts to identify outliers or trends. This capability makes it possible to glean insights from raw data without the need for extensive data science expertise.

• Initiating Analysis: Click the link icon in the prompt bar and upload a file, such as a CSV.
• Performing Analysis: Ask ChatGPT to create charts or analyze data, which it will process and generate visualizations for.
• Understanding Data: Overlay generated charts to identify trends and outliers in your data.

GPT Vision: Seeing Through the AI's Eyes

GPT Vision is a feature that allows ChatGPT to interpret images, making it an invaluable tool for diagnosing issues or understanding visual content. Simply upload a photo, and ChatGPT can provide a detailed analysis or even suggest solutions. This feature can be particularly useful for troubleshooting or when seeking advice on physical objects.

• Activating GPT Vision: Ensure GPT-4 is selected in the model selector.
• Uploading Images: Click the link icon to upload an image and ask ChatGPT to diagnose or describe it.
• Receiving Insights: ChatGPT provides detailed observations and can also offer step-by-step solutions based on the image content.

DALL-E 3: Unleashing Creativity with AI Art

DALL-E 3 within ChatGPT can generate images from text prompts, offering a creative outlet for visual content. Whether you need an image for a business project or social media, this feature can produce unique and relevant artwork based on your specifications with just a few keystrokes.

• Generating Images: Prompt ChatGPT with a descriptive sentence, such as a golden retriever wearing red shoes on the beach.
• Downloading Results: ChatGPT creates the image, which can be downloaded or further manipulated using the generated prompt.

Custom GPTs: Building Tailored AI Solutions

The ability to create custom GPTs (Generative Pre-trained Transformers) allows you to train and build versions of ChatGPT for specific tasks. This personalized approach can help automate repetitive tasks, provide specialized assistance, and even serve as a training tool for others.

• Accessing Custom GPTs: Go to "My GPTs" in your profile sidebar.
• Creating and Editing GPTs: Design your GPTs with custom instructions and actions for tasks like report generation or problem-solving.
• Utilizing Multiple GPTs: Combine the strengths of multiple GPTs within a single chat thread to address complex scenarios.

Multi-GPT Conversations: Harnessing Collective AI Power

Lastly, ChatGPT offers the ability to use multiple GPTs within a single chat thread, creating a collaborative AI environment. By summoning different GPTs, you can tackle complex problems by leveraging the specialized knowledge and skills of each custom AI, enhancing your problem-solving capabilities.

Conclusion: The Road to Mastery

ChatGPT is a remarkable tool that, when used to its full potential, can be a game-changer in various aspects of life. From custom instructions and plugins to web browsing and data analysis, each feature offers unique benefits that can optimize your tasks and foster creativity. With GPT Vision, DALL-E 3, and the ability to build custom GPTs, the possibilities are endless. By understanding and utilizing these features, you can position yourself at the forefront of the AI revolution, transforming the way you work, learn, and create.

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Key Takeaways

The podcast episode delves into the dynamic world of open-source AI and its burgeoning potential to reshape content creation. The guest, Luke, discusses his journey into AI and the inception of ParsePrompt, a tool designed to unlock the value trapped within various media file types by converting them into more usable formats like text, markdown, or JSON. He highlights the importance of context windows in AI and the challenge they currently pose for processing lengthy audio files.

Luke's collaboration with a former developer from a past startup forms the core team behind ParsePrompt, emphasizing a lean, value-packed product. The revenue share model they've adopted incentivizes both parties and ensures the project remains worthwhile.

The conversation also touches on how AI, specifically models like Whisper and AssemblyAI, can dramatically reduce the manual effort in tasks like transcription, summarizing, and extracting actionable items from content. Luke envisions a future where open-source AI models can provide robust, cost-effective solutions for a variety of use cases.

The discussion further explores the nuances of AI, including the promise and potential pitfalls of AI agents, the power of translation across languages and media types, and the significance of large context windows in enhancing AI's capabilities. Luke shares his bullish outlook on open-source AI and its rapid catch-up to closed-source frontrunners like OpenAI, attributing the growth to the competitive market and increasing demand for private, secure AI solutions, particularly in the enterprise sector.

Best Quotes

1. "Open source models are absolutely catching up... you don't need the best model, you just need something that's like 80% of the way there."
2. "Parse Prompt tries to make it easy to kind of unshackle your content... if you can turn one media asset into multiple, you can leverage your marketing efforts way more than you could before."
3. "The truth of the matter is that OpenAI has quite a lead... but I am very bullish on open source because I'm not a big fan of OpenAI. They are, I think, very two-faced in how they project to the public and how they operate."

Conclusion

The podcast episode presents a compelling narrative about the power and potential of AI in content repurposing and the transformative impact it can have on businesses. Luke's experiences and insights shed light on the practical challenges and opportunities in the AI space, emphasizing the significance of collaboration, the strategic use of revenue sharing models, and the pursuit of projects that are both financially rewarding and enjoyable.

The overarching message is one of cautious optimism, as open-source AI continues to gain ground against industry leaders, promising a more accessible and decentralized future for AI technology. The conversation around AI agents and the importance of predictability vs. hallucination provides a nuanced perspective on the future of AI's role in automating tasks and decision-making processes.

As we look to future discussions, the integration of AI with bitcoin and open-source principles, the development of large context windows, and the ethical considerations around AI usage are topics ripe for exploration. The podcast effectively captures the nuanced perspectives on AI, making it an engaging and insightful listen for anyone interested in the intersection of technology, business, and innovation.

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Will we ever get durable deflation again? Or will grandma keep getting sucker punched at the check-out lane. Forever.

Last week I joined Kevin Paffrath -- MeetKevin on Youtube -- for a wide-ranging interview about the economy and freedom.

During our chat, he asked about an ongoing beef between George Gammon and Cathie Wood about whether massive deflation is on the horizon.

The short answer is no: We will never again see durable deflation. Not until either the dollar dies or the Fed dies -- whichever comes first.

The Tech-Led Deflation Debate

Now, if you don't know George and Cathie, he makes financial videos on Youtube, and she's the CEO of Ark Invest, which manages roughly $7 billion and focuses on disruptive high-tech plays like AI, robots, and biotech.

A couple months ago Cathie gave a talk saying that investors were worried about the wrong thing. That we should actually be preparing for massive deflation.

Her reasoning is that technology is inherent deflationary, and we're about to have an epic tech boom.

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So is she right? Are we about to see plunging prices thanks to AI?

In short, no. Not because her reasoning is off -- she's 100% right that tech is deflationary because it lower prices.

But the missing part is the central bank -- the Federal Reserve. It soaks it all up.

To lay out the process, let's say you make hand-made mugs -- 10 a day. And you sell them for $20 to make ends meet. Now you install a machine and you can make 100 a day. Pay for the machine and you can charge, say, $10 and still turn a profit. Presto, a dollar buys more mugs.

Do that across an entire economy and you get generalized deflation -- dollars buys more.

Indeed, before central banking this was the normal state of a healthy economy -- technology advanced, capital -- machines -- were installed, and we got more stuff for the dollar.

The problem, of course, is that central banks are founded specifically to soak up all that deflationary goodness. In fact, they steal it and then some, turning deflation into inflation.

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"Bad” Deflation — the Kind the Fed Makes

Now, there is a special type of deflation which is bad, which is when the dollar is getting stronger not because we make more stuff, but because a bunch of dollars suddenly disappeared. More specifically, they got pulled out of circulation and stored somewhere.

Why would that happen? It could happen because there's World War 3 and everybody panicked. Or, more often, because the Fed crashed the banking system, a bunch of debt evaporated -- it defaulted and got written off.

At which point everybody's scrambling to save dollars to plug their balance sheets. They're not spending the dollars, they're storing them away. As if they buried them in the ground.

Meaning those non-circulating dollars are, at least temporarily, out of the inflation game.

That's exactly what happened in 2008, it's what happened in 1929, it's what happens every financial panic.

In fact, that special case is precisely the excuse the Fed uses to steal the normal, good deflation. It's pretty cute, really -- using the special bank panic deflation the Fed itself causes to steal tens of trillions of healthy deflation year in, year out.

Conclusion

In short, there is zero change we'll have durable deflation. Because the Fed will soak it up and then some. In fact, China's doing this as we speak, printing hand over fist to soak up its over-capacity-driven deflation.

That means whatever deflation windfall one expects from AI, robots, nanoassembly or cold fusion will end up, like so much else, in the pockets of Congress. We will never again see durable deflation.

I'll be speaking at the Restore Freedom Rally, February 2 to 5 in beautiful Orlando, on the coming Tidal Wave of Taxes: What's driving it. Who they'll go after first. And why they won't quit.

There’ll be great speakers every single day, and you can get tickets at Restore Freedom Rally. Use promo code PJ10 to get 10% off.

I hope to see you there!

Sign up for my free newsletter to get weekly articles on the economy and freedom.

Also check out the weekly podcast rounding up all the week’s videos in a single 20 minute podcast.

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Key Takeaways

The episode of The Bitcoin Frontier podcast from Unchained featured Drew D'Agostino, CEO of Crystal (also referred to as Crystal Knows), a SaaS company leveraging machine learning to predict personality traits and improve communication in business settings. Here's an in-depth analysis of the key insights:

• Bitcoin as a Treasury Strategy: Drew discussed the decision to diversify his company's treasury by adopting Bitcoin, especially after the Silicon Valley Bank crisis highlighted the risks of the traditional banking system. It was a strategic move to mitigate counterparty risk, and it required overcoming technical, social, and governance challenges.
• Personal Journey with Bitcoin: Drew's personal investment philosophy has evolved from being interested in precious metals to seeing Bitcoin as a more valuable asset. He has come to treat his cash as less valuable compared to Bitcoin, leading to more disciplined financial decisions, a phenomenon that has extended to his company's balance sheet.
• AI and Investment Dynamics: The conversation touched on the current state of AI and its adoption curve. Drew sees generative AI as a transformative tool for enhancing productivity but is cautious about its investment potential, noting it could be a commodity rather than a high-return asset. He expressed skepticism about the rapid technological progress narrative and sees more evidence of stagnation, especially in the physical world.

[

Bitcoin Treasury - The Fourth Lever to Equity Value Growth

While building products and services in the growing bitcoin ecosystem will not ensure success, a company’s proclivity for success is inevitably correlated to bitcoin’s upside.

TFTC – Truth for the CommonerGrant Gilliam

](https://tftc.io/bitcoin-treasury/)

Best Quotes

1. "It would be foolish to move my company's capital into any one institution or any one instrument, including US dollars and the US banking system." - Drew D'Agostino, highlighting the risks of traditional financial systems and advocating for diversification in treasury management.
2. "As soon as it transforms into Bitcoin, it becomes more valuable to me, even if it's the same exact price level." - Drew D'Agostino, illustrating the psychological shift in valuing assets once they are converted into Bitcoin.
3. "We don't know if AI itself is actually a good investment right now." - Drew D'Agostino, expressing uncertainty about the investment returns of AI despite its transformative potential.
4. "I think we're actually in a period where we believe things are progressing really quickly, but we're actually in significant amount of stagnation." - Drew D'Agostino, challenging the notion of rapid technological progress and pointing out areas of stagnation in the physical world.

Conclusion

This episode of The Bitcoin Frontier podcast provided a nuanced perspective on the intersection of technology, investment, and corporate strategy. Drew D'Agostino's decision to incorporate Bitcoin into his company's treasury was not just about seeking asset appreciation but also about adopting a sound money philosophy that encourages disciplined decision-making. The conversation also delved into the state of AI, with Drew highlighting its transformative impact on productivity but also questioning its current investment value. The episode concluded with reflections on technological progress, suggesting that while the digital realm advances, the physical world may be experiencing stagnation, and the role Bitcoin might play in addressing this disparity. This discussion underscores the complex nature of innovation and the importance of considering both technological potentials as well as their broader economic and societal implications.

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Introduction

The year 2023 has been a defining moment for artificial intelligence (AI), witnessing its permeation into the mainstream. This article explores the pivotal trends that have emerged throughout the year, setting the stage for what is anticipated to be an even more transformative year in 2024.

Large Language Models

Large language models have been at the forefront of AI development. The most notable of these models, GPT-4, introduced capabilities that include advanced vision and an expanded context window capable of processing 128k tokens. The evolution from the initial GPT-3.5 to a more diverse ecosystem of AI models developed by major tech companies such as Meta, Google, Anthropic, Microsoft, and Mistral, signifies the rapid pace of innovation. Consumers can expect these models to become increasingly accessible on personal devices, including laptops and smartphones.

[

Comparing Large Language Models

Different language models have different capabilities, and different approaches yield very different results. Understanding the limitations and how these models are trained will be increasingly important, especially as it comes time to navigate which tools to use, when and how.

TFTC – Truth for the CommonerAleksandar Svetski

](https://tftc.io/comparing-large-language-models/)

Social Media and AI Influencers

Social media channels have experienced a significant transformation due to AI. The emergence of synthetic media, including AI influencers and deepfakes, has become more prevalent. The technology underlying AI-generated social media content has reached a point where, in some cases, it is indistinguishable from human-created content. Platforms like YouTube are now implementing tagging systems for AI-generated content, highlighting the need for digital identity verification.

Software Integration

AI integration into software applications is becoming ubiquitous. From Microsoft Copilot to Google's AI initiatives, AI functionalities are being incorporated at a rapid pace. This trend is not without its challenges, as smaller applications risk redundancy when larger platforms adopt similar AI features. Nevertheless, the integration of AI is expected to enhance user experiences significantly.

AI Assistants

The concept of AI assistants has evolved from the early iterations of Siri and Alexa to more sophisticated models that may soon become capable of more dynamic interactions. Companies like Meta have introduced AI-powered wearables, exemplifying the potential for AI to assist users in a variety of contexts.

AI Relationships

AI companions have seen a surge in popularity, as evidenced by platforms like Character.AI, which caters to users seeking digital interaction. With rising traffic, it is clear that there is a demand for AI-based companionship, reflecting the changing social dynamics and the potential therapeutic benefits of such technology.

AI in Gaming

The gaming industry has begun to experiment with AI, enhancing player experiences through large language models and procedural content generation. While platforms like Steam have shown resistance to integrating AI into games, the potential for AI to customize gaming experiences is immense.

Conclusion

The year 2023 has laid the groundwork for a future where AI is deeply embedded in our daily lives. From personal assistants to gaming, the ways in which AI can enhance our experiences are vast. As we look ahead to 2024, it is clear that the AI trends established this year are only the beginning. The convergence of these technologies has the potential to create a synergistic effect, leading to innovations that are currently beyond our imagination. The upcoming year promises to be a pivotal one, as we continue to witness the evolution of AI and its profound impact on society.

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In a recent TED Talk marked by both nostalgia and futurism, Amjad Masad, the Founder and CEO of Replit, shared his journey from a child fascinated by his father's computer to a visionary in the tech industry. Amjad's story began with humble beginnings in Jordan, where the magic of a new computer inspired him to dream beyond playing video games—to creating them. This dream evolved with the advent of the internet, fueling his ambition with countless business ideas, yet also presenting formidable challenges: which programming language to use and how to share creations with the world.

Addressing these challenges, he developed the first online programming sandbox that supported multiple languages, a tool that quickly went viral and caught the attention of Silicon Valley. This pivotal moment led to his move to the United States, a visa, and eventually the founding Replit in the heart of Silicon Valley. The company's mission is ambitious: to enable anyone to turn ideas into software quickly, with a vision to empower a billion software creators.

[

398: Replit, AI and Bitcoin with Amjad Masad

Come for the inspiring story of a kid from Jordan who scratched his itch to create one of the most respected companies in the tech sector. Stay for the discussion on modern culture and the convergence of a global digital workforce, AI and bitcoin.

TFTC – Truth for the CommonerMarty Bent

](https://tftc.io/398-replit-ai-and-bitcoin-with-amjad-masad/)

Despite signing up millions of users, with a current tally of 25 million developers, Masad realized that a more significant leap was required to achieve their goal. The breakthrough came with large language models, which he believes are the key to transforming any thought, in any language, into software. This technology could potentially bring a billion software creators online.

In a world transformed by such technology, the process of creating software would become profoundly more accessible. He envisions people conversing with AI assistants, brainstorming, and strategizing in real-time. These assistants would not only generate prototypes but also create actionable plans, leveraging both AI and human intelligence. He illustrated this with an example of an app idea that could be developed on the go, without writing a single line of code.

Masad also shared inspiring stories of individuals who have used Replit to change their lives. An entrepreneur from Europe and a student from India have both harnessed the platform's capabilities, with the latter significantly boosting his family's income. The founder sees this as a precursor to a future where the Fortune 500 is replaced by the Fortune 5 million, with AI democratizing the opportunity to build significant enterprises.

In a bold move to accelerate this future, Replit announced the open sourcing of their AI models, making them freely available to all users. The founder believes that AI is not merely a tool but a ladder, equalizing opportunities across the globe, bringing the American Dream to the cloud.

Amjad's perspective is not just a vision of what could be; it is an affirmation that parts of this future are already unfolding. As AI continues to evolve and platforms like Replit break down barriers, the potential for widespread innovation and entrepreneurship looks more promising than ever.

[

How to Use the Replit Desktop App

The Replit Desktop App is designed for those accustomed to desktop development environments, offering a seamless and focused coding experience.

TFTC – Truth for the CommonerMarty Bent

](https://tftc.io/replit-desktop-app/)

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If you've been reading this rag over the last few weeks you can probably tell that your Uncle Marty is pretty excited about the convergence of AI and bitcoin. Particularly in the context of the lightning network enabling AI companies and autonomous digital beings to provide instant final settlement of payments, solving a myriad of problems for the AI industry. Mainly, risks revolving around charge backs, accessibility, profit margin, privacy and being able to give AI agents allowances from which they can spend.

With the emergence of things like Aperture, "a HTTP 402 reverse proxy that supports proxying requests for gRPC (HTTP/2) and REST (HTTP/1 and HTTP/2) backends using the L402 Protocol Standard", and the bitcoin-focused tools being added to Langchain it seems like the conditions have never been more ripe for an industry to adopt bitcoin en masse. The combination of the fact that AI is an industry that has hit it's tipping point, it is computationally expensive, and, at scale and maturity, will require machines to autonomously exchange money between each other if they are to be as performant and efficient as possible makes bitcoin over the lightning network very obvious. It could be the accelerant that really takes things to the next level of usability and futuristic feel.

One thing that needs to be done to make this happen is to help those building out AI products to realize the massive benefit incorporating lightning into their APIs can have on their businesses. That is the goal of the #Ai4ALL hackathon that is currently going on and will run until July 31st. The hackathon is a collaboration between Fedi and Stakwork in collaboration with Replit and Hivemind Ventures, Spirit of Satoshi, and Zebedee sponsoring the event. The goal is to show off what can be built by combining lightning and AI to those in the AI industry who may not yet be convinced that there is a product-market fit. If you're someone like me who thinks this convergence is an unbelievable unlock for both AI and lightning and you are working on a project that highlights this, throw your hat in the ring and get involved. It's time to accelerate this convergence.

Final thought...

Feel very fortunate that my children are able to spend their Summers the way I did as a kid.

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