GNSS & Machine Learning Engineer
Meta AI presents CICERO, an AI agent that can negotiate and cooperate with people. It is the first AI system that achieves human-level performance in the popular strategy game Diplomacy. Cicero ranked in the top 10 of participants on webDiplomacy.net.
Yannic Kilcher gives a great discussion of the accompanying Science paper. A second paper is freely available on arXiv. The source code is accessible on GitHub.
Meanwhile also DeepMind published an AI agent playing Diplomacy.
Meta AI publishes with Galactica.ai a large language model trained on scientific papers that allows to write a literature review, wiki article, or lecture note with references, formulas, etc. just by giving some text input about a topic. Even the paper about Galactica was written with the help of Galactica.
Just after a day, the Galactica.ai webpage is now down. But the source code is available on GitHub. Yannic Kilcher made a nice paper review about Galactica where he also explains why the demo webpage has been taken down.
Similar to OpenAI’s neural theorem prover and Google’s Minerva, Meta AI unveiled with HTPS (HyperTree Proof Search) a model that was able to solve several International Math Olympiad (IMO) problems. Meta made their model available through the Lean Visual Studio Code (VSCode) plugin, that allows everyone to evaluate it within the Lean theorem prover assistant.
ESMFold (ESM = Evolutionary Scale Modeling) [paper] uses a large language model that allows to accelerate folding (i.e. predicting the 3D structure of a protein from the DNA sequence [that encodes the amino acid sequence]) by up to 60 times (compared to state-of-the-art techniques like AlphaFold). This improvement has the potential to accelerate work in medicine, green chemistry, environmental applications, and renewable energy.
In addition, Meta AI made a new database of 600 million metagenomic protein structures (proteins which are found in microbes in the soil, deep in the ocean, and even in our guts and on our skin) available to the scientific community via the ESM Metagenomic Atlas.
ESMFold and related models like ESM-2 are published together with the API on GitHub and HuggingFace.
Meta AI presents video generation from text.
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