[email protected] | @HP | all things distributed | 🎿
Boise/Barcelona
Joined March 2009
- Tweets3.9K
- Following755
- Followers248
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galo retweeted
It is very cool to see llama.cpp on the big stage in todays Windows event!
The software and hardware stacks are finally coming together. Our community has put a lot of hard work in the past years and it shows.
Looking forward to more users embracing local AI.
galo retweeted
Introducing EmbeddingGemma 2, a new open multimodal model that sets the standard for on-device efficiency.
- our first open, natively multimodal embedding model
- handles text, code, image, video, and audio tasks within a lightweight, modular 740M parameter form factor
- ideal for offline, privacy-first RAG when paired with Gemma 4
- outperforms some specialist models more than twice its size
Weights available now on Hugging Face.
galo retweeted
Built a Rube Goldberg machine using Opus 5.5. Every domino, ball and brick is a real physics sim in Blender: 444 objects, real masses, gravity.
A ball rolls down a tower, tips 181 dominoes, which grow into a 3.7 m slab, which sets off a pendulum, a loop, a jump through fire, a funnel and a wrecking ball.
galo retweeted
Microsoft agentically ports Copilot runtime to Rust for $120K theregister.com/devops/2026/…
galo retweeted
We rich folks aren't afraid for humanity. We are afraid that one of us will build AI that will make themselves and the rest of us unrich.
galo retweeted
As someone who ships LLM systems in production, this scaling video is the closest thing to a "why 96% of Claude and GPT-5's weights are literally useless" explainer I've ever seen released for free.
Everyone thinks trillion-parameter models need every parameter. They don't. A 2019 pruning experiment proved you can delete 96% of a neural net's weights with zero performance loss - meaning most of Claude and GPT-5 is empty scaffolding around a tiny "winning lottery ticket" network doing all the real work.
Bookmark this 18-min video and watch tonight. Same lottery ticket math from 2019 MIT research, now the reason every AI lab wastes 90%+ of its Nvidia budget.
Readers added context they thought people might want to know
The 2019 LTH paper found winning tickets (typically 10-20% size) matching perf on small MNIST/CIFAR models only when retrained from specific inits. It does not prove 96% of trained trillion-param LLMs' weights are useless; IMP fails to scale without major changes.
arxiv.org/abs/1803.03635
arxiv.org/abs/1903.01611
galo retweeted
Microsoft annoints Rust as a 'Tier 1' internal language theregister.com/devops/2026/…
galo retweeted
This makes a lot of sense. Duplicating logic is no longer painful. Abstractions still are.
galo retweeted
Ugreen's 'HomeAgent' is a local AI smart home ecosystem for its new line of cameras, more 9to5google.com/2026/09/03/ug… by @chaosromero
galo retweeted
If you're 17 (or any age) and you want to learn to build LLMs from scratch, read chapters 15-16 of Deep Learning with Python, available online here: deeplearningwithpython.io/ch…
In particular, chapter 15 has one of the best explanations of WHY dot-product attention works that you'll find anywhere.
galo retweeted
Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.
- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models
Tech Blog: z.ai/blog/glm-5.3
galo retweeted
just Claude writing a MacOS driver for my obscure HP printer built only for Windows support
galo retweeted
Edit is now live on diffs[dot]com.
This isn't just another Monaco or ProseMirror wrapper.
This is an entirely new edit implementation, built on top of our file and diff rendering primitives.
- Over 189 commits
- Over 900 new tests
Try it out now – diffs.com/edit
galo retweeted
we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this.
openai.com/index/hugging-fac…
galo retweeted
Gemma 4 is now faster and much more accurate! 🚀
Google made huge improvements to tool-calling and chat accuracy, reliability + speed.
To get fixes, re-download our updated GGUF, MLX, NVFP4 quants!
Unsloth quants: huggingface.co/collections/u…
Gemma 4 Guide: unsloth.ai/docs/models/gemma…
galo retweeted
Anthropic just dropped a 100% free course on Loop Engineering with Fable 5.
This is the clearest breakdown of Claude Code and agentic loops you'll find anywhere.
People are paying for tutorials that teach less than this one hour does.
Watch it today, then read the step by step guide on building loops below.
