In case anyone wants to improve/change/use it:
AGI
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Claude AI Agent Autonomously Grows Tomatoes 100+ Days
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Anthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
by @d33v33d0#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/LBHXWu8oiqAnthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
by @d33v33d0 #ArtificialIntelligence #MachineLearning #ML -
Opus 4.8 Impact on White Collar Employment
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"Opus 4.8 is going to destroy all white collar jobs btw"
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LeJEPA World Model Learning Under Gaussian Latent Dynamics
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New paper from Yann LeCun! "When Does LeJEPA Learn a World Model?" This paper proves that under Gaussian latent dynamics, LeJEPA can recover the hidden state behind nonlinear observations up to rotation. The intuition is that linear latent features are the most stable across
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Most Powerful AI Models Growing Stronger Every 1-2 Months
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What a trip that every 1-2 months the most powerful models on the planet, used by everyone, get even more powerful.
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AutoScientists: Decentralized AI Agents for Scientific Research
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Banger paper from Harvard. AutoScientists drops the central planner entirely. Agents interpret shared experimental data, self-organize around promising directions, evaluate proposals before resource allocation, and document successes AND failures. Decentralized AI co-scientists
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Generative Supervision for Embodied Intelligence
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GEM
— AK (@_akhaliq) 28 mai 2026
Generative Supervision Helps Embodied Intelligence pic.twitter.com/IlGPbxkwHSGEM Generative Supervision Helps Embodied Intelligence
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Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
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Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
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AI Research Automation and Scientific Integrity
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AI research automation is crossing a threshold. But the real question is not: Can AI produce papers? It can. The harder question is: Can it preserve the substance of science? A new paper from the Awesome AI Auto-Research Team offers one of the most useful maps I’ve seen of
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Huawei Tau Scaling Law Reframes AI Inference Performance
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 28 mai 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/jFmtalWL4NMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner