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Hi, the Microsoft Translator research team is looking for an intern for the summer. If you a PhD student in Machine Translation, Natural Language Processing, or related, check it out: aka.ms/mtintern

Just 10 days after o1's public debut, we’re thrilled to unveil the open-source version of the technique behind its success: scaling test-time compute By giving models more "time to think," Llama 1B outperforms Llama 8B in math—beating a model 8x its size. The full recipe is open-source!

Rant: Apparently every vector-based sentence alignment tool insists on having an unusable file-based API.

Wrote up some notes on Microsoft's new Phi-4 LLM. They trained it on a LOT of synthetic data, and the details of how and why they did that are really interesting. https://simonwillison.net/2024/Dec/15/phi-4-technical-report/

It's messier, but I think this one slaps the point home a bit stronger by adding the giant squid footage. I think unique weather, like lighting sprites, would make the point just as well.

the anthropomorphizing in this LLM scheming paper is through the roof and the interpretations are wild, but still a cute set of experiments and a fun skim, showing some interesting behaviors. arxiv.org/abs/2412.04984

Frontier Models are Capable of In-context Scheming

Frontier models are increasingly trained and deployed as autonomous agent. One safety concern is that AI agents might covertly pursue misaligned goals, hiding their true capabilities and objectives - ...

arxiv.org

🚀 Introducing the Byte Latent Transformer (BLT) – A LLM architecture that scales better than Llama 3 using patches instead of tokens 🤯 Paper 📄 dl.fbaipublicfiles.com/blt/BLT__Pat... Code 🛠️ github.com/facebookrese...

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