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Recent research from the University of British Columbia showcases an AI scientist that autonomously conducts experiments, collaborating with researchers from the University of Oxford and Sakana AI. This project represents a significant step towards enabling AI to learn through invention and exploration rather than relying solely on human-generated data. Although the findings are not groundbreaking, they suggest potential advancements in AI capabilities through open-ended learning.
The AI scientist has already produced several papers detailing improvements in techniques like diffusion modeling and deep neural networks. Jeff Clune, leading the UBC lab, emphasizes that while the current results may seem modest, the future of AI learning could be transformative as computational power increases. The implications of this research could lead to the development of more capable AI agents, which are viewed as the next frontier in AI technology.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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