AI Unchained

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

Host Links

Check out our awesome sponsors!

"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!

Host Links

Check out our awesome sponsors!

"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

Host Links

Check out our awesome sponsors!

"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

Host Links

Check out our awesome sponsors!

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)

Host Links

Check out our awesome sponsors!

“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

Host Links

Check out our awesome sponsors!

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

Check out our awesome sponsors!

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

Host Links

Check out our awesome sponsors!

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

Models mentioned

Host Links

Check out our awesome sponsors!

"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)

Host Links

Check out our awesome sponsors!