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Foundation Models

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Monday, 20 July 2026

Automating the Search for Artificial Life with Foundation Models

Sakana AI 45

Researchers at Sakana AI, MIT, and OpenAI developed ASAL, an algorithm that uses vision-language foundation models to automatically discover artificial lifeforms across simulations like Conway's Game of Life and Boids. ASAL searches for simulations matching three criteria: producing specified target behaviors, generating persistent novelty, and illuminating diverse possible worlds. The work enables automated exploration of artificial life beyond manual design constraints, potentially accelerating ALife research and revealing principles underlying complex systems and emergence.

Alibaba previews 2.4 trillion parameter Qwen3.8-Max model for open release

digg.com 1 month ago 5 7 sources

Alibaba announced a preview of its Qwen3.8-Max model, which contains 2.4 trillion parameters and will be released as open-weight. The model represents a significant scale increase in Alibaba's Qwen lineup, positioning it as a major open-source AI model comparable to frontier closed models. The open release could expand access to large language models and increase competition in the open-source AI market.

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