50 avsnitt • Längd: 80 min • Månadsvis
If you are looking for self-hosted and sovereign AI tools – you’ve come to the right place. Making sense of the technology and concepts behind AI, breaking down the tools to gain more freedom and autonomy in our lives, and investigating how to avoid being trapped in centralized systems of control. If you want a sovereign future in the digital age, this is where we will build it. This is AI Unchained.
The podcast AI Unchained is created by Guy Swann. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
"Never half-ass two things. Whole-ass one thing."
— Ron Swanson
Focus. Easily spoken, hard to live by. There are many lessons that Bitcoin teaches, and one that is more clearly true the older I get, is that every single thing in a trade off. And not just solutions, or tools, or networks, but the very thing that you spend your time thinking about, at the expense of all other things. What dreams you spend your time building, at the expense of all other dreams. What new ideas you begin, at the expense of what you've already started, and not yet finished.
Its time for an overdue change, and today I wanted to share my thoughts, how we got here, and what to expect in the future.
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“The original idea of the web was that it should be a collaborative space where you can communicate through sharing information.”
― Tim Berners-Lee
Is the pursuit of artificial general intelligence a pipe dream? Are the economics of building massive AI models unsustainable? And what if the future of AI isn't about creating a single, all-powerful intelligence, but rather a multitude of small, specialized tools? In this episode, we explore the latest developments in AI and challenge the conventional wisdom about where the field is headed.
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What do numerous over-hyped product launches, massively subsidized compute, over extended investment, lack of customer adoption, unwillingness to pay extra, enormous and increasing costs, and total dependence on a few massive players have in common?
The big tech Ai industry!
Today we dive into a fantastic breakdown of the state of the ai market, and the potentially dismal financial forecast for the poster child of Ai success, OpenAi. Is there really a massive market here that supports 100 billion dollar investments ongoing? Or is it all smoke and mirrors with a very uncertain future.
Check out the original article by Edward Zitron at wheresyoured.at (Link: https://www.wheresyoured.at/subprimeai/)
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Today we dive into my favorite Ai app, combining dozens of open source tools unlocking a new era of creativity and productivity? How can you harness the power of AI to simplify workflows and organize our digital lives? Join me as I explore the possibilities and implications of AI-powered tools and share my own experiences with Pinokio and other innovative applications.
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Will the increasing shift towards smaller, more efficient AI models revolutionize the way we interact with AI? Can open-source models and fine-tunes like Hermes 3 and Grok 2 challenge the dominance of proprietary models? And what does the future hold for AI development as the hype and investment surrounding AI begin to wane? Join me as I explore these questions and more on this episode of Ai Unchained.
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"When you introduce 2 million, 10 million "developers" that were never developers into an ecosystem that's used to having closed platforms and silos and stuff, what do those 10 million motivated people build? They're more likely to build the solution that they always wanted and that they build something that gets around these silos.
One of the most important things that's going on right now is the shift from closed platforms to open protocols. The more that all of that stuff is open, the more the walls, the potential barriers that appear to lock people into these platforms will just kind of start to fall away.
On a long enough timeline, open just wins."
- Guy Swann
In a recent episode of The Staying Free Podcast, I had a valuable conversation with my friend and colleague Jonny, also known as jonnyhodl. We delved into the complex relationship between artificial intelligence and individual sovereignty, challenging the conventional narratives that often depict AI as a threat to freedom.
We explored the open versus closed system debate, questioning whether decentralization can truly safeguard our liberties in an age of intelligent machines. The discussion also touched on crucial issues like privacy, autonomy, and human agency, encouraging people to rethink their understanding of AI. Could AI be a tool for liberation, or are we on the brink of a new form of control?
This was a conversation worth sharing, as it offers deep insights into the potential of AI to either enhance or erode our freedoms.
Link to the original episode on Staying Free Podcast on Fountain (Link: https://tinyurl.com/5yzuc54w)
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Open source Ai is catching up. In this episode of AI Unchained, we explore the implications of the dominant open source models actually competing with proprietary models. We challenge assumptions about AI development trajectories, drawing parallels with other technological evolutions. Could the next AI revolution be horizontal rather than vertical, and what might this mean for accessibility and innovation in the field?
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“Intelligence without wisdom is nothing more than stupidity that looks smart.”
― Craig D. Lounsbrough
Is AI really all hype and oversold gimmicks, or is it going to change the world and replace everyone with software workers? Or are both of these views a distraction from what's right in front of us? How is AI useful today for very real tasks? In this episode, we'll dive into some major new open-source models and releases, along with exploring the very practical applications of LLMs with the help of Nicholas Carlini's fantastic article on where he finds value today. I also want to challenge the pessimistic views about AI's impact on jobs and share how we can leverage these tools to enhance our work and bring new projects to life. But how can you start using AI effectively in your daily tasks and creative endeavors? Let's find out.
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How might open-source AI development shape the future of artificial intelligence and global competition? Guy Swan examines Leopold Aschenbrenner's "Situational Awareness" piece and Mark Zuckerberg's recent article on open-source AI, exploring the potential for an intelligence explosion, the risks of centralized AI development, and the advantages of a decentralized approach. Could open innovation be the key to maintaining technological leadership and ensuring a positive AI future?
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"He was giving me enough rope to hang myself with. Apparently he didn't realize that once a noose is tied it will fit one neck as easily as another." ~ Patrick Rothfuss
"Do we need an AGI Manhattan Project? Slowly at first, then all at once, it will become clear: this is happening, things are going to get wild, this is the most important challenge for the national security of the United States since the invention of the atomic bomb. In one form or another, the national security state will get very heavily involved. The Project will be the necessary, indeed the only plausible, response." ~ Leopold
Will the race for AGI lead to a Manhattan Project-like initiative, and how might this reshape the global order? Today we diver into the final read of "Situational Awareness: The Decade Ahead" on the inevitability of the race to AGI and superintelligence and what it will mean for the free world, the economy, and the future of humanity. Don't miss this epic conclusion.
Check out the original article by Leopold Aschenbrenner at situational-awareness.ai (Link: https://tinyurl.com/jmbkurp6)
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“Hold fast to dreams, For if dreams die, life is a broken-winged bird, That cannot fly.” ~ Langston Hughes
"Reliably controlling AI systems much smarter than we are is an unsolved technical problem. And while it is a solvable problem, things could very easily go off the rails during a rapid intelligence explosion. Managing this will be extremely tense; failure could easily be catastrophic."
~ Leopold Aschenbrenner
As we approach a potential intelligence explosion and the birth of superintelligence, how can we ensure AI remains beneficial and aligned with the goals of furthering humanity, while navigating the complex geopolitical landscape? And what role will the United States play in shaping the future of AI governance and global security?
Check out the original article by Leopold Aschenbrenner at situational-awareness.ai. (Link: https://tinyurl.com/jmbkurp6)
“The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom.” ~ Isaac Asimov
What if the race to AGI isn't just about code, but a massive industrial mobilization? As AI capabilities grow exponentially, will we see trillion-dollar compute clusters and unprecedented energy demands? And in this high-stakes competition, how critical is securing AI secrets from rival nations? This episode delves into these questions, exploring the potential challenges and geopolitical implications of rapid AI advancement.
Check out the original article by Leopold Aschenbrenner at situational-awareness.ai. (Link: https://tinyurl.com/jmbkurp6)
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Open AI signals that they are the surveillance leviathon we suspected they always were. Anthropic's Claude 3.5 may be even better than ChatGPT. I explore and detail out some new tools and build new tiny apps to recreate some of the incredible features of the Apple AI announcements, but in a local, open source way. A cybersecurity disaster in Microsoft's announcement of their new OS "feature" Recall and why it may be the worst thing for security and privacy in a very long time. And much more in today's episode, on New Tools and Major Moves in AI.
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"Our economic systems were not built for a world driven by technology where prices keep falling. They were built for a pre-technology era when labour and capital were inextricably linked, an era that counted on growth and inflation, an era where we made money from scarcity and inefficiency. That era is over."
~ Jeff Booth, The Price of Tomorrow
Are we on the verge of an intelligence explosion that could redefine the future of AI and humanity? Explore Leopold Ashen Brenner's insights on the leap from AGI to superintelligence and what it could mean for every aspect of our lives. Join me as we delve into the potential and perils of a superintelligent world and its profound implications.
We are continuing a read situational awareness the decade ahead by Leopold Ashen Brenner that we started in the previous episode and this will be part two - a comprehensive look at the potential future developments in AI over the next decade.
Check out the original article by Leopold Aschenbrenner at situational-awareness.ai. (Link: https://tinyurl.com/jmbkurp6)
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"Do not expect the vertiginous pace of progress to abate. The trend lines look innocent, but their implications are intense...
Scaling up simple deep learning techniques has just worked. The models just want to learn, and we're about to do another 100,000X by the end of 2027. It won't be long before they're smarter than us."
~ Leopold Aschenbrenner
What does the next decade hold for AI, and are we on the brink of achieving artificial general intelligence? Join me as I dive into Leopold Ashen Brenner's compelling analysis on AI trends and their implications, revealing the dramatic shifts in technology and society we should prepare for. Don't miss this exploration into the future of AI and its potential to outpace human intelligence.
Check out the original article by Leopold Aschenbrenner at situational-awareness.ai. (Link: https://tinyurl.com/jmbkurp6)
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Today Guy Swann dives deep into everything about the "Apple Intelligence" announcement, which aims to integrate powerful AI capabilities directly into the company's operating systems. He raises thought-provoking questions about the implications of such a system, particularly regarding privacy and trust in a tech giant like Apple. The episode promises to explore the potential benefits and drawbacks of this groundbreaking AI implementation.
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"Don't trust. Verify." — Unknown
A trend I've noticed with Ai, is that it has shifted itself into the middleman position between everyone and the normal surfing of the web. While it may save the user time, could this be disrupting the very traffic that monetizes content on the internet? With this fundamental change in the monetization paradigm, a huge shift is coming to the web. What will it look like, and how should we prepare? Tune in to find out.
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"Disruptors don't have to discover something new. They just have to discover a practical use for new discoveries."
- Jay Samit
A very unique dynamic occurs with generative AI. LLM companies are scraping the internet for millions of works belonging to other people, photos, videos and film, forum posts, tutorials, all of this human created content meant to provide value to others in hopes of monetizing the attention, or gaining reputation from that research or creation.
But without attribution or sharing of the proceeds, we can recreate, mimic, or even pull that exact content back out of the generative models. What does that mean for AI models? What does this mean for copyright? And is the only solution in the violent hand of the state, or is there a technological or cultural solution to this technological problem?
It can be argued that Open AI has become the ultimate middleman, that never even sends its users to the content that makes its product valuable to begin with? In that sense, is OpenAi a breakthrough...or just a different kind of scam? Don't miss today's show.
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"Overprotecting intellectual property is as harmful as underprotecting it. Creativity is impossible without a rich public domain. Nothing today, likely nothing since we tamed fire, is genuinely new: Culture, like science and technology, grows by accretion, each new creator building on the works of those who came before. Overprotection stifles the very creative forces it's supposed to nurture."
- Alex Kozinski
Today we explore the deluge of announcements from both OpenAi and Google. With a plethora of Ai features dropping at Google I/O And Chat GPT-4o landing with an ai that can be spoken to like a human, how do we determine the difference between groundbreaking AI tools and mere gimmicks. How do we discern practical applications from overhyped features? Join Guy as he navigates the latest AI developments, asking the critical question: What truly enhances our digital lives and what falls short?
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"The Limits of my language means the limits of my world"
~ Ludwig Wittgenstein
"We're basically at a fork in the road. I think that there's a good chance we go the wrong way and you end up with a situation like China.
We need to build these tools that serve Liberty and not tyranny. And we need to design these systems correctly. And then on top of that, I think, as I pointed out earlier, you know, we have an opportunity to build a better product than the tyrannical systems, you know, now before, before you're in too deep. So we need to do that so that people aren't, aren't lured by that."
Are we steering towards a future where technology amplifies human potential, or are we drifting into a realm where control overshadows creativity? We are joined by the creator of CASCDR today to delve into a discussion that explores the role of Ai in our future and how we can utilize it to decentralize markets, service provision, and change the structure of productivity in a way that can bring it far closer to us and our needs. What does that future look like, and how do we build to get there?
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How close are we to realizing the dream of personal AI? Dive into the potential of small, efficient AI models that enhance our self-awareness and improve our lives without compromising our privacy. Could these advancements lead us to a future where we not only manage but truly own our data, understanding ourselves better than any corporation could? Join us as we explore the fascinating possibilities of personal AI.
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"The reason why it is so difficult for existing firms to capitalize on disruptive innovations is that their processes and their business model that make them good at the existing business actually make them bad at competing for the disruption."
~ Clayton M Christenson
How can AI be harnessed to manage and enhance personal and professional digital interactions more effectively? In this episode of "AI Unchained," explore the essential tools and concepts needed to apply AI in self-hosted environments, navigate the intricacies of vector embeddings, and integrate AI seamlessly into your digital workspace. What modular approaches and AI skills are essential as coding becomes more automated? Dive into these questions and more with host Guy Swan.
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In today's episode of AI Unchained we dive into a plethora of new developments in Ai tailored hardware, the scope of what leaps in performance and capacity we may see in the next year, what it means for open source, how to access your local run Ai from anywhere with the Pear Stack, and yet another major tool in generative Ai that will take story telling to a new level? Join Guy Swan as he unpacks the latest and their profound implications for both developers and users alike.
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"As I see it, humanity is at a turning point where we must either embrace a small handful of totalitarian super intelligences or move AI to the edge, allowing a wide diversity of machine intelligences to flourish in cooperation with an equally diverse set of human intelligences, forming a truly decentralized hivemind. Fortunately, there’s mounting evidence that open source models will be the ultimate winners."
~Hivemind Ventures
Our read from HiveMind Ventures today argues that the future of AI development hinges on embracing open-source models and decentralization to counteract the monopolistic tendencies of large corporations and governments. What if we already have the tools and foundations to create a genuine decentralized hivemind of human and artificial intelligences that change how we organize and progress. What if these tools are right under our nose, today? Would you want to know what they are?
Check out the original article at How (Actually) Open AI Wins. (Link: https://hivemind.vc/ai/)
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Today we delve into the leadership upheaval at Stability AI, Apple finally putting their cards on the table, the breadth of tools available for image and video generation, more ways to use LLMs to build micro apps, the release of numerous new models, and highlighting broader trends in the AI industry that may be rising to the surface. What might recent developments in the space reveal about the future of open source and centralized Ai? Are we headed toward a brighter, or much darker future? Find out in today's show.
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"All around the nation there are toddlers plunked down in front of iPads being subjected to synthetic runoff, deprived of human contact _even in the media they consume. There’s no other word but dystopian."
~ Mike Hoel
What happens when the internet is so overrun with awful ai generated content, that it becomes too overwhelming to even find anything of value? And this is happening now, not in the future. What happens to a generation of toddlers who are watching incoherent, plotless, inhuman videos over and over again that are completely ai generated from beginning to end and are devoid of human meaning or depth of any kind? Millions of views on these videos poison the minds of kids all over the country while parents have no idea what the content actually is. Are we headed into a dystopia, and experiment with the minds of our children? And what on earth could we do to fix this? Find out in today's episode of Ai Unchained.
Check out the original article at Here lies the internet, murdered by generative AI. (Link: https://tinyurl.com/mr4b5nmm)
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"The most important kind of freedom is to be what you really are. You trade in your reality for a role. You trade in your sense for an act. You give up your ability to feel, and in exchange, put on a mask. There can't be any large-scale revolution until there's a personal revolution, on an individual level. It's got to happen inside first."
~ Jim Morrison
With the announcement of Devin, the "First AI Software Engineer" by Cognition Labs, some are calling it a breakthrough, while others aren't so impressed and believe other models can do largely the same thing. What is the unique difference that Devin brings to the table and does it have implications for the accessibility of coding and could it even suggest a change in direction for the future of software itself? Don't miss this fascinating topic in today's episode of Ai Unchained.
Check out Cognition Labs Blog and the details of this wild new project. (Link: https://www.cognition-labs.com/blog)
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Advanced AI meets sustainable agriculture, opening a revolutionary pathway to food security. This episode brings Stephen Reisner from Potent Ponics into the spotlight, discussing a groundbreaking project that not only challenges the traditional AI applications in media but ventures into the heart of real-world, blue-collar issues. Explore how AI can empower farmers globally, breaking language barriers and democratizing access to organic cultivation knowledge. A blend of technology, agriculture, and a vision for a greener future awaits—tune in for an inspiring journey towards global sustainability.
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The only way to protect yourself from closed, surveilled AI tools, is to use the open and private alternatives. When NVK couldn't find them, he decided to build them. Unleashed.chat begins to realize the potentially for open source LLMs to compete with ChatGPT and make use of unique means to fine-tune and leverage vectorized data for higher accuracy and relevance to the tasks of the user. What goes into building a set of tools like this, and why are they so desperately needed? Find out in today's chat with NVK.
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"By the end of 2024, everyone will have tools easily available to them that will allow them to create any video they want by simply typing in a description and hitting generate."
~ Guy Swann
Are we on the brink of a revolution where anyone can create blockbuster-quality videos from their bedroom? Discover how the latest AI breakthroughs in 2024 are dismantling the barriers to professional filmmaking and what this might mean for truth, politics, and storytelling. What will the world look like when reality itself can be engineered with a few clicks?
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We are diving into a discussion today with the creator of ParsePrompt on a perspective of where Ai can be leveraged for the highest multiplier. How to use Ai to make one form of content valuable over multiple mediums in an automated an repeatable fashion. As well as exploring the nuance of the open source alternatives, getting an LLM to speak with your data, and where hype has us chasing a foolish idea and missing what's right in front of us. Don't miss an awesome chat with Luke.
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"I think AI can make a lot of things better, and if you put them together, if you are aware of the resources at your disposal, I think the average person can do more than the wealthiest person 200 years ago could have done"
~ HopeTS
What if YOU could build the app you needed to solve your own problem? Ai has unleashed this ability to millions who have the knowledge necessary to tap into it, if only they understood how powerful this tool is. Building an app, specific to your exact needs to simplify or drastically shorten your tasks, may be far simpler than you imagine. If you want to find out how, listen to this episode and follow for our new series, Building with Ai.
Don't forget to follow and support hope for helping with this awesome series and sharing the many projects he is putting together!
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"it’s important to step outside of the hype and critically-analyze what is and is not useful. It’s very easy to get caught up in “potential” applications, and allow the imagination to go all exponential on
you. It’s a very human thing. Turning that imagination into something tangible is what a business and an entrepreneur does. It’s our hope this report will be useful along that path."
~ Alek Svetski
Today we dive into Part 2 of the Bitcoin & Ai Industry Report to learn the intricacies and challenges of building an Ai model from scratch! We delve deep into the process, discussing the complexities of data collection, transformation, and the critical integration of human feedback.
Then to complete it, we take that knowledge to address many of the AI myths and misconceptions. Will AI replace humans? Is it going to take my job? Can I train my own AI? Is AGI around the corner? And much more! This is such a great episode for those who want to know and understand the process, of building AI...
If you haven't yet, listen to the first half of this incredible report here:
AI Read #003 - The Nexus of Bitcoin and AI (Part 1)
Check out the original article at Spirit of Satoshi (Link: https://www.spiritofsatoshi.ai/#industry-report)
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There are so many myths and misconceptions around AI models. What they can do, how they are trained, even the fundamentals of how the data for them is even collected and formatted to make sense. The idea that we can "train our own model" by just feeding it a ton of conversation or notes is unrealistic, but why exactly is that?
Today we get into a 2 Part read which will be one of the most value dense we have covered on the show yet. It breaks down the entirety of the process of identifying the core value, and then sourcing, qualifying, and prepping the data, and then training, fine tuning, adjusting, and testing an AI model built from it, from beginning to end.
The Spirit of Satoshi project is an incredible open source endeavor and the team reveals tons of great details about the complexities and challenges of building an LLM, as well as the incredible work they are doing in building novel tools for crowdsourcing the hardest part of the process, and of course, how Bitcoin and Lightning enable better tools to make this all possible.
Check out the original articles at Spirit of Satoshi (Link: http://tinyurl.com/4jsvmz3z) & Satoshi GPT (Link: http://tinyurl.com/msyr4m5t)
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“Revolutions bring disruptions and disruptions bring opportunities.”
~ Nicky Verd
Today we explore the tools for voice changing ai and text-to-speech. What is Guy using, and what are the impacts of instant and easy voice copying be on content creation, copyright, the meme lords, fraud, and personal identity.
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The models, the tools, the implementations, everything is moving incredibly fast.
But a very interesting trend that I've been seeing, is that the open source benchmarks are improving just slightly faster than the closed source alternatives. Slowly but surely, they are catching up.
The day may come where the open source models are the best models, the ones with the greatest number of tools, and the largest variety of implementations, because naturally they're open and available for everyone to work on.
There have been numerous new developments on running models more efficiently, running larger models on even smaller devices, and doing so with less power and computational overhead, as well as a new advancement in one of my favourite open source models, which may just be a big leap forward for how these are going to evolve moving forward. And that is what today's episode of AI Unchained is all about.
A big leap for local LLMs.
Ai News Roundup
Running Ai locally on a Smartphone: A Performance Evaluation of a Quantized Large Language Model on Various Smartphones (Link: http://tinyurl.com/mv4k7eyp)
LLM in a flash: Efficient Large Language Model Inference with Limited Memory (Link:http://tinyurl.com/mrc5ur7m)
Explore the new Mixtral Model below
Poe.com (Link:https://poe.com/chat/2vdailufawo9jnkcb4l)
Fireworks AI Models (Link: https://app.fireworks.ai/models)
GGUF Model for Local Running (Link: http://tinyurl.com/34btrnre)
Run with LMStudio - LM Studio - Discover, download, and run local LLMs (Link:https://lmstudio.ai/)
Unleashed Chat - One button to deploy your own chat (Link: https://unleashed.chat/app/chat)
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Ai is a powerful tool, and thus, necessarily comes with incredible risk. It could obsolete millions of workers, taking jobs and productive capacity away from humans and consolidate it into corporations. It could make the average individual too dangerous, putting incredible power into the hands of bad people. It may even present an existential threat to humanity, a veritable nuclear bomb, made available to everyone in the world...
What could all of this mean? Doesn't it suggests we need to tightly control, license, and scrutinize access to these base tools? Or is there an underlying philosophy exposed by these fears, and a more prudent, and honest course of action? find out in today's Ai Unchained episode!
Check out the link to the video of Yann LeCun that was shared toward the end of this episode, Why Open Source Ai is Our Only Hope (Link: http://tinyurl.com/yx5tmmnv)
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Today we dive into a few of my favorite tools for running LLMs locally on your machine, even the average consumer machine. With a huge variety of models to choose from and varying levels of customization and presets, these will get you started on running your own Ai, and getting the pieces necessary to connect them into micro apps and other parts of your workflow. Not only are these huge productivity boosters to have, but it's also just a ton of fun to play around.
For the large list of links to these and so many other AI tools to check out, go to bitcoinaudible.com/ai (Link: bitcoinaudible.com/ai)
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"Coding has always felt to me like an endlessly deep and rich domain. Now I find myself wanting to write a eulogy for it."
~ James Somers
Today we dive into an amazing piece and such an important perspective on the future with Ai. With GPT being able to code with ease, so many tasks and projects that would've taken hours before. Where the "so-so" programmer can now build nearly anything with an Ai partner, what is to come of the future of coding? Should we be celebrating... or is a eulogy in order?
Check out the original article at A Coder Considers the Waning Days of the Craft | The New Yorker (Link: https://tinyurl.com/56entzua)
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If you are looking to maximize your productivity, to use the Ai tools available in a way that genuinely gives you that 5x improvement of your capabilities, this is the episode for you. These are the 5 ways I am currently using Ai more than any other to maximize my output.
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Don't forget to subscribe and leave a review on your favourite podcast app! It's hugely appreciated and helps to bring this show to more people.
Feel free to send me any questions you have that you would like me to cover.
"Our first instinct when interacting with a Large Language Model should not be “wow these things must be really smart or really creative or really understanding”. Our first instinct should be “I’ve probably asked it to do something that it has seen bits and pieces of before”. That might mean it is still really useful, even if it isn’t “thinking really hard” or “doing some really sophisticated reasoning”. We don’t have to use anthropomorphization to understand what it is doing to provide us a response."
~ Mark Riedl
Today we dive into a great piece from Mark Riedl attempting to demystify ChatGPT and large language models. Are they thinking? do they understand reason? Can we even understand what is happening inside these intelligent machines or have we created something we cannot control?
What if the truth is far simpler, and actually easy to understand? And we can cut through all the hype, fear, and confusion, to get at the heart of what this technology really is, and what an incredible tool it can be.
Don't miss this incredible piece.
Check out the original article - and drop tons of applause - at A Very Gentle Introduction to Large Language Models without the Hype | by Mark Riedl | Medium (Link: https://tinyurl.com/2wm4nmeu)
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Obi Nwosu, co-founder and CEO of Fedi, joins us today to talk about the new innovations and challenges in re-decentralizing the web and how both Bitcoin and Ai are at the core of making it possible.
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What if we could mitigate the enormous centralizing effects of the massive server farms and huge corporate entities, by pooling the GPU power of the millions of users and tinkerers who have unused or regularly idle computational power, into a decentralized marketplace for buying and selling Ai execution, and we could power it all with instantly settled sats over lightning?
It just so happens that we can, and this ambitious project is being brought to life with GPUtopia. Chris David from the project joins us today to break down the vision and how they hope to play a part in the decentralized future of Ai.
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Today we delve into a captivating topic, as we explore the potential relationship between AI and evil. My guest Dhruv Bansal brings his profound insights to the forefront as we navigate the depths of this subject.
We contemplate the ethical dilemmas that arise when intelligence is harnessed for destructive purposes, and Dhruv expertly unpacks the intricate interplay between AI intelligence, good, and evil, leaving us with a lot to consider about its impact on our lives and the broader world.
We go deep as we strive to discern the true nature of intelligence and its potential ramifications on our collective humanity.
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"So we had built this for a while, but because API calls are basically free, there really wasn't a good match for it. There were some good matches for it and people would do it, but as they were doing it, it was like 'I can do it this way, but I can also do it with dollars.' This is kind of a really interesting paradigm when it comes to Ai stuff is that there's basically 3 or 4 different aspects of Ai that make it so you cannot use credit card relationships to solve the monetization problems there. But you can with Bitcoin and Lightning as it exists today, not requiring any changes to the protocol..."
~ Kody Low
Today we dive into an incredible conversation with Kody Low from Fedi, who is hosting the Ai4All hackathon and believes he has found a solution to an increasingly huge, and seemingly impossible problem within Ai, that you can no longer distinguish human from robot online. What happens when Ai can create an infinite number of new identities? Is this the end of the open internet? find out in this awesome episode.
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Today we follow up from #002 with Alek Svetski to get him back on and digging into the open, community project they are releasing, the Spirit of Satoshi. They are exploring the capabilities of LLMs in combination with a data store in scaling one-on-one education that explores a topic or idea through a lens of explicit bias. Can we instill a variety of genuinely different worldviews and perspectives into Ai from which to test our understanding of the world? Svetski thinks we can. Hope you guys enjoy this one!
Check out the launch page TheSpiritofSatochi.AI (Link: https://www.spiritofsatoshi.ai/)
Don't forget to follow this podcast on Youtube as well to see the conversations as well as getting the more technical or tutorial based videos to actually play with these tools yourself
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"These contributions were pivotal in the image generation space, setting Stable Diffusion on a different path from Dall-E. Having an open model led to product integrations, marketplaces, user interfaces, and innovations that didn’t happen for Dall-E. The effect was palpable: rapid domination in terms of cultural impact vs the OpenAI solution, which became increasingly irrelevant. Whether the same thing will happen for LLMs remains to be seen, but the broad structural elements are the same."
~ Anonymous Google Employee
While I wasn't sure whether I would bring the "read" format to this podcast, there was just too much great material to cover and I felt I would do a disservice if I didn't make it available for the audience who wants to dive into this stuff with me fully, rather than be satisfied with a summary. So I felt the best option for a flagship read, was the article that finally tipped me over the edge to start Ai Unchained. A leaked document from a Google employee seeing the trends and compounding effects of the open source Ai movement, titled "We Have No Moat, and Neither Does OpenAI." Get ready for a great read, and the shows first Guy's Take...
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Ai may be able to make us vastly more productive, far more creative, and orders of magnitude more dangerous. As Ai moves into the realm of creating hierarchies of tasks to accomplish larger goals, combined with the unparalleled scalability of its execution, a broad, self-spreading and malicious Ai becomes frighteningly more possible by the day. Like a wildfire burning out of control, what could be the consequences, how bad could a hypothetical scenario get, and what, if anything, can we do about it?
Don't miss this incredible conversation with Alex Lewin, bringing a software development and cyber security perspective to the show, to shine a light on the dark side of Ai
Check out the original article at [Article Name Hyperlinked]. (Link: https://tinyurl.com/XXX)
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"This is the first time we've interacted with anything other than a parrot that can string together a coherent sentence. And it sounds stupid, but it's actually true. So we are anthropomorphizing, we are projecting our own consciousness onto this thing, and we are immediately imagining Terminator, Minority Report, God knows what else we are imagining - the Ray Kurzweil's of the world - we're imagining that all of a sudden, that's it, we unlocked it, basically we have discovered God. We did it. To me that's such a mix of naivety, ignorance, and arrogance that it's not even funny."
~ Aleks Svetski
We have an awesome conversation kicking off episode 2 of AI Unchained today with Aleks Svetski, who is currently building a not-yet-public project in the AI world. He brings a very unique perspective that tries to bring back a bit of perspective to the imaginations gone wild on the world ending possibilities of AI. What is the truth of it? And can we instill "truth" in these machines? Can we make them "objective and unbiased?" Or is there something both inherently foolish and presuming in even the attempt of such a thing, that we can prevent making the same mistakes of the past. Don't miss this crazy conversation.
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Welcome to the first episode of AI Unchained, a new show exploring how AI technology can be a means of empowering the individual, rather than a system of control, and all the tools and perspectives that enlighten that journey.
Our first guest is none other than Jeff Booth, the author of "The Price of Tomorrow" on the incredible deflationary force of technology and why our only choice is to embrace it, not fight it. If you are trying to make sense out of the change that is being unleashed, you do not want to miss this show. Welcome to AI Unchained.
Check out Jeff Booth's incredible book here The Price of Tomorrow: Why Deflation Is the Key to an Abundant Future by Jeff Booth. (Link: http://tinyurl.com/hws9f3cb)
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En liten tjänst av I'm With Friends. Finns även på engelska.