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Odysseus – self-hosted AI workspace
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Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance
Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process of training While Chinese chipmakers have found success in supporting AI inference – the relatively simple process of running an already-finished model to answer user prompts – they have struggled with training, the far more complex process of building or refining a model’s brain. If initial...
You don't need to worry about recursive-self-improving AI – yet
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 of redesigning themselves, growing ever more powerful and finally escaping our control. At least, that’s what the headlines said. In truth, Anthropic’s co-founder Jack Clark and the boss of spin-out think-tank The Anthropic Institute, Marina Favaro, have published a long blog post bigging up...
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
arXiv:2509.00462v4 Announce Type: replace Abstract: As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderation. This dual adoption raises a critical question: do LLMs systematically favor content that resembles their own outputs? Prior research in computer science has identified self-preference bias -- the tendency of LLMs to favor their own generated...
Sakana AI's Recursive Self-Improvement (RSI) Lab
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Toward AI That Understands Self and Others: A World-Model Theory of Cognitive Diversity and Alignment
arXiv:2605.29930v2 Announce Type: replace Abstract: Modern societies possess more information than ever before, yet they do not converge toward a single shared understanding. The same events, facts, laws, technologies, or risks can be interpreted as evidence of freedom, danger, exclusion, injustice, responsibility, or unrealized possibility. Existing discussions often treat such disagreement as a conflict of values, preferences, or beliefs.
Self-regulation can curb students' overconfidence in AI
Self-regulation can curb students' overconfidence in AI Gaby Clark Scientific Editor Robert Egan Associate Editor The rapid emergence of generative AI in higher education has raised concerns about students' reliance on the use of these tools for academic and personal tasks. Although generative AI can boost productivity and creativity, key learning skills may be undermined by overreliance on it. A study conducted by researchers in EHU's ESCUTIC (School, Curriculum, and ICT) research group and...
VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents
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When AI Builds Itself: Our progress toward recursive self-improvement
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor.