AI Unchained

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.

Links to check out

Atomic Habits (Link: https://tinyurl.com/hjcajxc) Facebook's LLM transparency tool Hugging Face Demo (Link: https://tinyurl.com/4c9cmzhw) Clone yourself with Delphi A (Link: https://www.delphi.ai/) The Cold Start Problem: How to Start and Scale Network Effects(Link: https://tinyurl.com/bdzetyax) The Innovator's Dilemma: The Revolutionary Book That Will Change the Way You Do Business (Link: https://tinyurl.com/mt6ca37k) The Pile (Link: https://pile.eleuther.ai/)

Host Links

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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.

Links to check out

⁠Devs Who Can't Code #1 - Build a To Do App (Link: https://tinyurl.com/29taj247) ⁠Devs Who Can't Code #2 - Build a Bitcoin Price Tracker (Link: https://tinyurl.com/38bw54sy) ⁠Unleashed.chat⁠ (Link: https://unleashed.chat/) ⁠NLTK, SKlearn, RE⁠ (Link: https://tinyurl.com/537h53m8) ⁠LM Studio⁠ (Link: https://lmstudio.ai/)

Guest Links

⁠[Guest Name] on X⁠ (Link: https://twitter.com/guest) ⁠[Guest Name] on Nostr⁠ (Link: https://tinyurl.com/XXX) ⁠[Guest/Company Website]⁠ (Link: https://example.com/)

Host Links

⁠Guy on Nostr ⁠(Link: http://tinyurl.com/2xc96ney) ⁠Guy on X ⁠(Link: https://twitter.com/theguyswann) ⁠Guy on Instagram⁠ (Link: https://www.instagram.com/theguyswann/) ⁠Guy on TikTok⁠ (Link: https://www.tiktok.com/@theguyswann) ⁠Guy on YouTube⁠ (Link: https://www.youtube.com/@theguyswann) ⁠⁠Bitcoin Audible on X⁠⁠ (Link: https://twitter.com/BitcoinAudible)

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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.

Links to check out

Nvidia A100 chip (Link: https://tinyurl.com/w2sw7ypr) Nvidia H100 chip (Link: https://tinyurl.com/bdznducy) AMD's MI 300X (Link: https://tinyurl.com/5ay5vm48) Google Axion Processors/Arm-based CPUs (Link: https://tinyurl.com/jd7chher) IBM's AI chips (Link: https://tinyurl.com/y8kjyk8p) Apple's AI integration in iOS (Link: https://tinyurl.com/4k8dz7u9) Panochio tool for web generation (Link: https://pinokio.computer/) Pinokio application for local hosting of AI tools⁠ (Link: https://docs.pinokio.computer/download/) LM Studio AI model management (Link: https://lmstudio.ai/) Keet chat app and the Pear protocol(Link: https://keet.io/) Mixtral 22B and other models from Hugging Face (Link: https://tinyurl.com/mv67p2uy) LLM Studio for managing large language models (Link: https://tinyurl.com/3fbactk2) TorchTune documentation (Link: https://pytorch.org/torchtune/main/) Mistral AI(Link: https://tinyurl.com/33zjuy9z) GitHub SWE-agent (Link: https://tinyurl.com/3hjwnv5d) Holesail (Link: https://holesail.io/) Tom Davenport on X (Link: https://tinyurl.com/438r9z69) UdioAI (https://udioai.ai/)

Host Links

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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/)

Links to check out

Replit (Link: https://replit.com/) Hugging Face (Link: https://huggingface.co/) Langchain (Link: https://www.langchain.com/) Mosaic ML (Link: https://tinyurl.com/48u2c4yv) Nomic AI (Link: https://www.nomic.ai/)

Host Links

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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.

Links to check out

Sora video generation (Link: https://tinyurl.com/2tmz8tt9) RunwayML (Link: https://runwayml.com/) Pika Labs (Link: https://pikalabs.org/) Stability Ai (Link: https://stability.ai/) Fountain.fm (Link: https://fountain.fm/)

Host Links

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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)

References from the episode:

Chat 94 with Clint Russell Read_802 - How Inflation Destroys Civilization

Guest Links

Eric Hoel on X (Link: https://twitter.com/erikphoel)

Host Links

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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 Blogand the details of this wild new project. (Link: https://www.cognition-labs.com/blog)

Links to other content mentioned in the episode

Guy Swann YouTube Channel for AI Content(Link: https://tinyurl.com/4x297knm) Live Stream of the First Episode of Devs Who Can't Code- Although not continued as a live series, the first episode serves as an introduction to the concept. (Link: https://tinyurl.com/nhmy6pxy) Transcription App ("Scribe Drop")- A local application developed to automate podcast transcription using Whisper AI models, with a mention of exploring updates and alternative models. (Link: https://tinyurl.com/43cuxc4j) Unleashed.chatandChat GPT Platforms - For uploading text files and generating summaries or specific content requests from the transcripts. (Link: unleashed.chat) (Link: https://chat.openai.com/auth/login) Devs Who Can't Code Series - A YouTube-only series that explores coding with AI, focusing on building applications and automating workflows without in-depth coding knowledge. Devs Who Can't Code Episode #1 on YouTube(Link: https://youtu.be/Auux6-TW5Fg) Bitcoin Price Tracker: Coming soon - An application built in the second episode of Devs Who Can't Code, offering a simple yet personalized way to monitor Bitcoin prices.

Host Links

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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.

Check out the project and other mentioned content from the show below

Copyleft Cultivars - A platform focused on democratizing access to organic cultivation knowledge across various languages, leveraging AI to crowdsource information on organic farming practices. (Link: copyleftcultivars.com) Patreon for the Project - For those interested in supporting the project financially, a Patreon page has been set up to facilitate funding. This is part of their approach to secure resources for further development and research. (Link: https://tinyurl.com/5bdtvurw) The Unsettling of America - A recommended read, highlighted for its insights into the impact of financial systems on agriculture and sustainability. The audiobook version, narrated by the actor who portrays Ron Swanson, was particularly recommended for its engaging delivery. (Link: https://a.co/d/bIJY5pe)

Guest Links

Potent Ponics on X(Link: https://twitter.com/PotentPonics) Potent Ponics Website (Link: https://www.potentponics.com/)

Host Links

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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.

Links to explore the tools in this episode

Unleashed.chat (Link: https://unleashed.chat/)

Guest Links

NVK on X(Link: https://twitter.com/nvk) NVK on Nostr (Link: https://tinyurl.com/y4jbdphp) CoinKite Website (Link: https://coinkite.com/)

Host Links

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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?

Links to explore the tools in this episode

Lumiere - Google Research (Link: https://lumiere-video.github.io/) Animate Anyone (Link: https://www.animateanyone.com/) Magic Animate (Link: https://www.magicanimate.org/) Sora by Open AI (Link: https://openai.com/sora)

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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.

References from the show

Parseprompt.ai (Link: http://tinyurl.com/pehf75ps) Postgres & pgvector (Link: http://tinyurl.com/3t8pejzk)

Host Links

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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!

HopeTS | Using code and compassion to empower the people | Patreon

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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)

Guest Links

⁠⁠Spirit of Satoshi Nostr⁠ ⁠(Link: http://tinyurl.com/5n93z9sc) ⁠⁠Spirit of Satoshi on X ⁠(Link: https://twitter.com/Spirit_Satoshi) ⁠⁠Spirit of Satoshi on LinkedIn ⁠(Link: http://tinyurl.com/yc4raxc8 ⁠Spirit of Satoshi on AI⁠ (Link: http://tinyurl.com/5c29ze9t)

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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.

Referenced in the show

ElevenLabs.io(Link: https://elevenlabs.io/) Altered.ai (Link: https://www.altered.ai/) Episode #011 - The Fears of Ai (Link: http://tinyurl.com/4v9rj98r) Could Ai Go Nuclear? - Ai Unchained #003 - The Dark Side of Ai with Alex Lewin (Link: http://tinyurl.com/2pxkv5n3)

Host Links

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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)

Host Links

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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)

Guest Links

Yann LeCun on X (Link: https://twitter.com/ylecun) Yann LeCun Website (Link: yann.lecun.com/)

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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)

Links to the tools and the models mentioned in the episode

GPT4All (Link: https://gpt4all.io/index.html) LM Studio (Link: https://lmstudio.ai/) Ollama AI (https://ollama.ai/)

Models mentioned

Stablelm-zephyr (small & fast) Mistral Instruct (good overall, imo) Hermes (less likely to lecture you) Llama2 (great base model) Llava (text and images, multimodal)

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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.

For other links mentioned in the episode:

Ai transcription video from YT (Link: https://www.youtube.com/watch?v=ZDw8ZNFBKes) Premai.io (Link: https://www.premai.io/) gpt4all (Link: https://gpt4all.io/index.html) confyui(Link: https://tinyurl.com/mry8tmhp) automatic1111 (Link: https://tinyurl.com/36ar9tav)

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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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Get 9% off the COLDCARD with code BITCOINAUDIBLE ⁠⁠⁠⁠⁠⁠(Link: bitcoinaudible.com/coldcard⁠⁠⁠⁠⁠⁠) Get 50,000 free sats, plus sats back on everything you buy by signing up with Fold and the Spin+ Debit Card. ⁠⁠⁠⁠⁠⁠(Link: bitcoinaudible.com/fold⁠) Check out the KYC Free, simple, no management, Bitcoin merchant solution - ⁠⁠⁠⁠⁠Nodeless.io⁠⁠⁠⁠⁠⁠. Use my link to go to nodeless.io/guy⁠⁠⁠⁠⁠ and setup your donation page for free, then share it out on nostr/Twitter and tag me, and I'll throw 10,000 sats your way!

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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.

Guest Links

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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.

Links mentioned

Tinygrad.org (Link: https://tinygrad.org/) Inflection.ai (Link: https://inflection.ai/) Read_712 - Lightning Prisms [DerGigi]⁠ (Link: http://tinyurl.com/28v53jsn) ⁠Read_574 - Lightning & The Internet - Choosing the Right Path [Roy Sheinfeld] (Link: http://tinyurl.com/464xyars)

Guest Links

Christopher David on X (Link: https://twitter.com/AtlantisPleb) Christopher David on Nostr (Link: http://tinyurl.com/69hcjbkc) Founder of Open Agents (Link: https://openagents.com/)

Host Links

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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.

Guest Links

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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.

Links to the content mentioned on the show to check out

Andre Karpathy - Let's build GPT: from scratch, in code, spelled out (Link: https://www.youtube.com/watch?v=kCc8FmEb1nY⁠⁠) Brian Roemmelle on X (Link: https://twitter.com/BrianRoemmele) ChatGPT and the Dawn of Computerized Hyper-Intelligence| Brian Roemmele | EP 357 (Link: https://www.youtube.com/watch?v=S_E4t7tWHUY⁠⁠) GPT4ALL- A free-to-use, locally running, privacy-aware chatbot. No GPU or internet required (Link: https://gpt4all.io/index.html) Fedi- Community money, chat, and more (Link: https://www.fedi.xyz/) Stakwork.ai- With business process automation that integrates an always-on network of cloud sourced workers, it doesn’t have to. | Stakwork | A New Way to Get Work (Link: https://stakwork.ai/) Join the Hackathon! Follow everything going on in the Ai4All tournament or become a builder yourself (Link: http://tinyurl.com/35yzcn9b)

Guest Links

Kody Low on X(Link: https://twitter.com/kodylow)

Host Links

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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

⁠Bias, Ai's Best Feature with Aleks Svetski (Link: http://tinyurl.com/bd4urk8j)

Guest Links

Alek Svetski on X (Link: https://twitter.com/guest)

Host Links

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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...

To dive deeper into the links provided in the read

Google "We Have No Moat, And Neither Does(Link: http://tinyurl.com/2t28ye9k)

Links for Ai tools and other content mentioned in the show

Chris Lattner on Lex (Link: http://tinyurl.com/5xw4txun) Modular announces Mojo(Link: https://www.modular.com/) RunwayML - Text2video (Link: https://runwayml.com/)

Host Links

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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)

Guest Links

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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.

Guest Links

Aleks Svetski on Linktr(Link: https://linktr.ee/svetski)

Host Links

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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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