Don’t be fooled—LLMs don’t reason
In an opinion piece for MIT Technology Review, a researcher who helped build the Go program that played the famous Move 37 in 2016 argues that large language models do not truly reason.
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AutoSynthData: Generating Training Data for Enterprise Agents
A Hugging Face post presents AutoSynthData, an approach for generating training data for enterprise AI agents.
The eternal complement
An OpenAI essay argues that advanced AI may have its biggest impact on the routine work that supports breakthrough ideas. It looks at how execution could shape the economy and the pace of progress.
With most information hidden, the game Stratego had stumped AI—until now
AI researchers have made progress on Stratego, a game where most information is hidden from players. The key was adding a second neural network that guesses what the opponent’s hidden pieces are.
Introducing SynthID Bio
Google DeepMind has presented SynthID Bio, a proof of concept for watermarking proteins designed by AI. The watermark is meant to leave the proteins’ biological function intact.
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
Hugging Face has introduced an open leaderboard for evaluating multilingual text-to-speech and voice cloning models at scale.