🏢 MIT Technology Review Organization

The article argues that AlphaGo’s famous Move 37 against Lee Sedol was not an act of unexplained machine intuition, but the result of genuine reasoning. AlphaGo defeated Lee 4–1 in 2016, and Move 37 a

The piece argues that recent AI headlines have been driven more by corporate marketing than by verified technological breakthroughs. It cites Anthropic and OpenAI claims about models discovering softw

A new study suggests that AI systems are not yet ready to fully automate AI research, despite industry claims that models will soon improve themselves with little human oversight. Researchers led by P

Over the weekend, several Trump administration AI advisers publicly attacked leading US AI companies while debating how to respond to Kimi, a free open-source model released by Chinese firm Moonshot.

NASA has been leading the exploration of Mars, particularly in the search for signs of past microbial life, through its Perseverance rover. In July 2024, the rover discovered a unique rocky outcrop wi

Retrieval-augmented generation (RAG) is a technique that enhances large language models (LLMs) by enabling them to retrieve and integrate information from external sources, thus supplementing their ex

Large language models (LLMs) like GPT-4o, which contain billions of parameters, are so complex that their workings remain largely mysterious, even to their creators. For instance, a 200-billion-parame

The recent interaction on social media between AI researchers highlights the pitfalls of AI hype and miscommunication. Demis Hassabis, CEO of Google DeepMind, publicly criticized Sébastien Bubeck from

The article discusses how the hype surrounding generative AI, exemplified by Paul McCartney's performance with a lifelike depiction of John Lennon, distracts from more impactful advancements in predic