AI/ML

I’ve written a lot about how I’ve been using Claude to build one-shot HTML+JavaScript applications via Claude Artifacts. I recently started using a similar pattern to create one-shot Python utilities, …

In early November, I had a stimulating Zoom call with a former OpenAI employee and Berkeley graduate named Suchir Balaji, who had just left OpenAI.

Why the kinship between artificial intelligence and the human mind is terrifying.

What exactly is consciousness, and why is it such a hard problem to solve? Neil deGrasse Tyson and co-hosts Chuck Nice and Gary O’Reilly take you deep into the mysteries of consciousness and objective reality, David Chalmers, a philosopher and cognitive scientist. How do we understand the core of subjective experience? We explore the philosophical and neuroscientific angles of consciousness. Why do some experts believe consciousness arises from the sensory cortex, while others point to the prefrontal cortex? And what does this mean for how we understand animals, AI, or even the very nature of our own minds? We question how consciousness evolved to discussions about the levels of consciousness in animals, babies, and humans under anesthesia. As the conversation turns to AI, the group contemplates the future of artificial consciousness. Could large language models, like today's AI, eventually develop consciousness? If not now, will they in the near future? And if we can simulate human consciousness in machines, are we creating philosophical zombies—entities that behave like us but lack awareness? These questions spiral into debates about reality, VR, and whether we're already living in a simulation. Could there be laws of consciousness waiting to be discovered, like the laws of physics? Or is consciousness simply an illusion, as some scientists propose? What are the core features of consciousness that scientists agree on? Buckle up for a fascinating journey that will leave you questioning not just what consciousness is, but whether any of this is even real. Thanks to our Patrons Jay, Gregory Aronoff, Tom B. Night, Barnsley, Glenn, Hibachi Flamethrower, Crescencio Maximilian joseph Martinez, Micheal Gomez, Matthew Deane, James, Joe Chillemi, Thomas van Cleave, Kelsey Plugge, Jeff Jones, William Hamilton, and Kevin Cosg. for supporting us this week. Check out our second channel, @StarTalkPlus Get the NEW StarTalk book, 'To Infinity and Beyond: A Journey of Cosmic Discovery' on Amazon: https://amzn.to/3PL0NFn Support us on Patreon: https://www.patreon.com/startalkradio FOLLOW or SUBSCRIBE to StarTalk: Twitter: http://twitter.com/startalkradio Facebook: https://www.facebook.com/StarTalk Instagram: https://www.instagram.com/startalk About StarTalk: Science meets pop culture on StarTalk! Astrophysicist & Hayden Planetarium director Neil deGrasse Tyson, his comic co-hosts, guest celebrities & scientists discuss astronomy, physics, and everything else about life in the universe. Keep Looking Up! #StarTalk #neildegrassetyson Timestamps: 00:00 - Introduction: David Chalmers 04:00 - What is Consciousness? 06:50 - Where is the Seat of Consciousness? 14:30 - Are Large Language Models Conscious? 22:47 - The Laws of Consciousness 31:40 - Does Consciousness Really Exist? 34:50 - The Reality of Virtual Reality 42:40 - The Future of Reality

Meta's new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop.

Roaming RAG offers a fresh take on Retrieval-Augmented Generation, letting LLMs navigate well-structured documents like a human—exploring outlines and diving into sections to find answers. Forget complex retrieval setups and vector databases; this streamlined approach delivers rich context and reliable answers with less hassle. It’s perfect for structured content like technical manuals, product guides, or the innovative llms.txt format designed to make websites LLM-friendly.

These shortcomings have led to sharp, even caustic criticism that AI cannot rival the human mind—the models are merely “stochastic parrots,” in Bender’s famous words, or supercharged versions of “autocomplete,” to quote the AI critic Gary Marcus.

The framework for programming—rather than prompting—language models.

I've been putting the [new o1 model](https://openai.com/index/openai-o1-system-card/) from OpenAI through its paces, in particular for code. I'm very impressed - it feels like it's giving me a similar code quality …

If I had wanted to write a column about presidential pardons, I’d find ChatGPT’s assistance a far better starting point than I’d have gotten through any general web search. But to quote Reagan: “Trust, but verify.”

Exclusive: Age, disability, marital status and nationality influence decisions to investigate claims, prompting fears of ‘hurt first, fix later’ approach

It’s fun to say that artificial intelligence is fake and sucks — but evidence is mounting that it’s real and dangerous

Before we get going — please enjoy my speech from Web Summit, Why Are All Tech Products Now Shit? I didn’t write the title. What if what we're seeing today isn't a glimpse of the future, but the new terms of the present? What if artificial intelligence isn't actually capable

Kapa.ai turns your knowledge base into a reliable and production-ready LLM-powered AI assistant that answers technical questions instantly. Trusted by 100+ startups and enterprises incl. OpenAI, Docker, Mapbox, Mixpanel and NextJS.

HuggingFace's CEO warns that open source Chinese AI models risk spreading censorship worldwide.

Refine your prompts

As more publishers cut content licensing deals with ChatGPT-maker OpenAI, a study put out this week by the Tow Center for Digital Journalism -- looking at

Psst, kid, want some cheap and small LLMs?

The Netscapes of AI

The bullshit just keeps on coming.

I've been having fun playing with this new vision model from the Hugging Face team behind [SmolLM](https://simonwillison.net/2024/Nov/2/smollm2/). They describe it as: > [...] a 2B VLM, SOTA for its memory …

Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024 that enables AI models to interact with external data sources through a unified interface.

MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX. - Blaizzy/mlx-vlm

Contribute to 2-fly-4-ai/V0-system-prompt development by creating an account on GitHub.

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚ - exo-explore/exo

Get started with MCP in less than 5 minutes

I built a new plugin for my sqlite-utils CLI tool that lets you ask human-language questions directly of SQLite databases and CSV/JSON files on your computer. It’s called sqlite-utils-ask. Here’s …