Many people think any given ML project is 99% training.
In reality, itโs 50% evaluation, 40% data cleaning, 8% integration, and 2% training.
The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as thatโs the optimal bound of Shannon encoding of your data.
Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.
Gemma 4 running on my iPhone works without internet, is blazing fast and can translate Japanese from a pill bottle.ย
Local AI models running on a phone feels like magic.
Gemma 4 running on my iPhone works without internet, is blazing fast and can translate Japanese from a pill bottle.ย
Local AI models running on a phone feels like magic.
That's us! ๐
The Artemis II crew captured beautiful, high-resolution images of our home planet during their journey to the Moon. As @Astro_Christina put it: "You guys look great."
New Anthropic research: Emotion concepts and their function in a large language model.
All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claudeโs behavior, sometimes in surprising ways.
We just released Gemma 4 โ our most intelligent open models to date.
Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows.
Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. ๐งตโ
Itโs not a straight shot to the far side of the Moon! ๐
Over approximately 10 days, the Artemis II astronauts will orbit Earth twice before looping around the far side of the Moon in a figure eight and returning home.