That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...
Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes
Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
What are Fugu and Fugu Ultra, the AI systems through which Japan's Sakana AI is betting on 'One Model To Command Them All' and claiming Mythos-level performance on some benchmarks?
GenAI’s breakthrough in mathematics offers a lesson for medicine: solving healthcare’s biggest problems means questioning old ...
The recursive nightmare of men explaining condescension to each other Trump’s new reflecting pool liner cut with a razor, official reports Plane crashes into Beijing’s tallest skyscraper New Mexico ...
British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...
One of the world’s leading artificial intelligence companies has implored the industry to pause development on AI, because the latest models could be reaching a tipping point where they become capable ...
"If it's AI, it should be able to predict stock prices." This is a natural line of thought. AI has surpassed humanity in Go, achieved high precision in image recognition, and can even generate text.
The companies at the frontier of artificial intelligence should be ready to slow down, one of the fastest-moving among them says. Anthropic, the maker of the Claude chatbot, has claimed AI systems may ...
How Anthropic became world's most valuable AI startup, surpassing OpenAI with $965 billion valuation
Dario Amodei's San Francisco-based artificial intelligence company is now valued at $965 billion, surpassing OpenAI's $730 billion valuation in one of the largest private funding rounds in technology ...
"key_insight": "When a large language model under reinforcement learning commits a wrong reasoning step early in a trajectory, standard algorithms force it to keep generating until the maximum horizon ...
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