jamesliu @jamesliu
Building j.a.r.v.i.s., Ex @Amazon Palo Alto US Joined March 2008-
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I just fine-tuned @GoogleDeepMind's "gemma-3-270m" and it's ready for secure deployment in production! → Imported and fine-tuned using @huggingface transformers on M4 → Packaged and versioned with @Kit_Ops → Pushed to @Jozu_AI Hub for production use and deployments All…
🏗️Implementing deepagents: a technical walkthrough A deep dive into the source code of the `deepagents` package: - How to implement sub agents (including custom sub agents) - How to use LangGraph state as a virtual file system Video: youtu.be/TTMYJAw5tiA
🚀 Meet MassGen! 🛠️ An open-source project for multi-agent scaling. Inspired by @grok Heavy & Gemini DeepThink. Enable parallel intelligence sharing, iterative refinement & consensus across agents. @GoogleAI @OpenAI @xai MVP out now—star & feedback! 👇 github.com/Leezekun/MassG…
I'm really impressed by the new Gemma 3n I tried a 7.5GB model from Ollama and a 15GB model through mlx-vlm - they seem very capable, and this is the first model of that size I've tried that can handle both image AND audio input in addition to text! simonwillison.net/2025/Jun/26/ge…
Trustlessly Aligned AI The ultimate goal is AI whose safety and alignment can be verified through its outputs rather than trusted based on its training process. Every artifact produced can be independently validated, creating trust through verification rather than faith. 7/7
This is sooo cool!! Anthropic just open-sourced their research software to trace thoughts of LLMs. Remember that incredible research paper they released a couple months ago showing "how" LLMs think? Now you can apply that to any model :)
This is sooo cool!! Anthropic just open-sourced their research software to trace thoughts of LLMs. Remember that incredible research paper they released a couple months ago showing "how" LLMs think? Now you can apply that to any model :) https://t.co/BlPiXIVGa6
Microsoft just changed the game! 🔥 They've open-sourced bitnet.cpp: a blazing-fast 1-bit LLM inference framework that runs directly on CPUs. Why is this a game-changer❓ You can now run 100B parameter models on local devices with up to 6x speed improvements and 82% less…
Human generated data has fueled incredible AI progress, but what comes next? 📈 On the latest episode of our podcast, @FryRsquared and David Silver, VP of Reinforcement Learning, talk about how we could move from the era of relying on human data to one where AI could learn for…
@jeremyphoward It's really fun building plugins for this new feature. I just built llm-hacker-news which lets you pull in a full Hacker News conversation as a fragment: llm install llm-hacker-news llm -f hn:43615912 'summary with illustrative direct quotes' Details: simonwillison.net/2025/Apr/8/llm…
RAG is not Memory. AI agents need long-term memory to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource. 1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.
The biggest revelation from Deepseek is that Open Source has won. For a 1% difference in performance, it will be difficult for OpenAI to justify its price when the competition is free and formidable. -from my interview with Bloomberg
"[somebody] who doesn't just write code but orchestrates it through the power of AI." we are cooked.
SQLite-Vec: a tiny, portable vectorDB built on SQLite! It's lightning fast & lightweight, perfect for on-device RAG solutions! 🔥 Key features: - Matryoshka embedding slicing - 32x storage reduction with binary quantization - L2, cosine, and Hamming distance support - Works…
Tableau is about to die. Introducing PandasAI, a free alternative for fast Business Intelligence. Let dive in:
We have to take the LLMs to school. When you open any textbook, you'll see three major types of information: 1. Background information / exposition. The meat of the textbook that explains concepts. As you attend over it, your brain is training on that data. This is equivalent…
Let's compare DeepSeek-R1 and OpenAI-o1 using RAG:
Let's build a browser-use agent, similar to OpenAI operator, but utilizing open-source tools:
Some people are worried that DeepSeek’s low-cost training might hurt the GPU market, but honestly, I think it’s actually good news. One big misconception is that companies won’t need as many GPUs for training by copying DeepSeek method. But the thing is, DeepSeek-R1’s low-cost…

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