"AI systems now outperform PhD-level virologists." Sam Altman and Dario Amodei don't agree on much, but this week they signed the same letter. Also on the list: Demis Hassabis, Alexandr Wang, Mustafa Suleyman, several Nobel laureates, and the DNA-synthesis industry itself. The
AI
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How to Reduce AI Model Costs with Self-Supervised Learning
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How to Reduce #AI Model Costs with Self-Supervised Learning by @antgrasso #ArtificialIntelligence #MachineLearning #ML
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New course on serving LLMs efficiently with Red Hat
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New course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn.
— Andrew Ng (@AndrewYNg) 4 juin 2026
Efficient LLM serving requires efficient memory management. A 70B-parameter model… pic.twitter.com/KeKveT2IicNew course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn
. Efficient LLM serving requires efficient memory management. A 70B-parameter model -
Nemotron 3 Ultra open-weight release boasts impressive efficiency ratio
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And another open-weight release. Nemotron 3 Ultra has an ultra impressive capability:efficiency ratio! Design-wise, it carries forward the Mamba-2-attention hybrid stack and LatentMoE introduced in the previous Super variant. But everything is a bit bigger.
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AI’s core is context; solve context to solve any field.
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AI at its core is a context problem. Solve context, and you can solve any field.
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OpenAI and Anthropic predict faster self-recursive development
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Yes. First OpenAI, now Anthropic. Both of them expect self recursive development to come faster than expected
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Challenge of feeling AI acceleration despite real model improvements
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A real problem with feeling the acceleration viscerally is that current models are really good and it is hard to feel the vibe difference on most individual tasks with new models, even as AIs continue to increase in ability by large amounts (which they actually are doing).
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Predictive maintenance data security risks vs. continuous sensor needs
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Predictive maintenance algorithms require continuous sensor and equipment data but pose security risks if they can communicate back to production systems.
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Anthropic’s serious push for recursive self-improvement
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Holy moly, Anthropic is getting very serious about recursive self-improvement! One word: acceleration. Insane blog article. Tl;dr: •We are close to an AI capable of fully autonomously designing and building its own successor •They stress this isn’t here yet and isn’t