Haven't heard of web applets? It's a web-based protocol for building software that both humans & AI can understand and use together. github.com/unternet-co/...

(1/5) "The reports of the LLM scaling laws' demise have been greatly exaggerated." techcrunch.com/2024/12/06/m...

"Babe, I'm curve fitting to my hand drawn loss curve, look, look"

I slept on Windsurf Editor longer than I should have, try it, it's amazing. Much more agentic than Cursor 🤖 codeium.com/windsurf

I was inspired to create a web app that demonstrates the universal approximation power of neural networks using TensorFlow(.js), try it and hack around with the source code!

The Universal Approximation Theorem for neural networks by Michael Nielsen in his custom Magic Paper app, just brilliant. youtu.be/Ijqkc7OLenI

(1/5) The question I get asked a lot is, “Should I be afraid of AI?” There was this guy who got in a lot of trouble once, his name was Galileo.

Anthropic released an interesting thing today: an attempt at a standard protocol for LLM tools to talk to services that provide tools and extra context to be used other the models modelcontextprotocol.io

You probably haven't heard of PydanticAI yet, but I'm sure you have heard of Pydantic. Check it out, it's a VERY neat way to build agentic LLM-backed programs using all the goodness types and structured outputs give you. The agent framework you won't hate? Groq + PydanticAI = 🚀

Karazhan (raid) according to FLUX 1 Schnell

Image generation is just TOO MUCH FUN! Fast prompt generation with Groq ✅ Fast image generation with Fal.ai ✅ Open Source (MIT) ✅ ⚙️ pip install pyimagen

Evals are "too damn expensive" until you: • can't migrate underlying models safely • can't add new features with confidence • can't ship without HITL evals, which takes >100x longer • product development and iteration grinds to a halt • lose customer trust due to poor user experience

Power of open! Groq hosted open source models + open Bsky platform data (through their API search). Search for your favorite topic on Bsky and get instant answers plus post links! Link: groq-bsky.vercel.app

Important reason to move to Bluesky: you can hack on it because the data is much easier to access 🔥

Curse of Dimensionality

This meme holds surprisingly well. AWS ushered in an era where infra was no longer a differentiating factor, all startups built on cloud and moats continued to exist (network effects, momentum, proprietary data, etc.). AI APIs = new cloud layer.

"if you can compress data well, you understand its patterns" Low loss on training error + highly compressible hypothesis = strong generalization

I love how bolt.new invites you to try new stacks, like building with Remotion for programmatic video generation.

How can you not be jealous when you copy paste a long passage of text to GPT-4, ask it to eg summarize and see tokens flowing moments later

OpenAI has been slow to roll out ChatGPT Code Interpreter access to everyone (including me). So I thought it would be fun to code my own version, you can use it today and it's Open Source! https://github.com/ricklamers/gpt-code-ui

Great example of why mathematical understanding of eg matrix decompositions is key for optimizing existing methods. You might not need math to utilize other people’s work in machine learning but be prepared to bring a mathematical toolkit if you’re looking to innovate.