Perplexity open-sourced the scanner it uses to triage npm worm waves. Bumblebee reads on-disk metadata only, never runs the package manager during a compromise. Exact (ecosystem, name, version) matching. 2,900+ stars in 5 days. Apache-2.0.
AI
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AI Triggers Parallel Crises: Social Anger and Financial Anxiety
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L’IA déclenche désormais deux mouvements parallèles : la colère populaire et l’angoisse financière. D’un côté, des cocktails Molotov, des conférences sifflées, 120 000 emplois détruits, et seulement 18% de la génération Z qui y voit un espoir. De l’autre, 750 milliards
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Perplexity open-sources Bumblebee (blog + GitHub)
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Blog post + GitHub repo: http://
perplexity.ai/hub/blog/perpl
exity-is-open-sourcing-bumblebee
… http://
github.com/perplexityai/b
umblebee
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Huawei’s Tau Scaling: Orchestration is the Next Frontier in Semiconductors
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Huawei’s Tau Scaling signals a broader shift for semiconductors: progress may depend less on nanometers alone and more on latency, data movement, energy efficiency, and coordinated system design. Beyond shrinking, the next frontier is orchestration.
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AI and robotics transform apple harvesting into data-driven farming
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ChatGPT images auto-labeled as AI are ngmi
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People posting ChatGPT generated images that get automatically labeled as AI Generated are ngmi
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Agent Token Efficiency: Context Re-reading Loop Performance
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input tokens are the real driver here. agent re-reads the entire context on every single loop
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Interview about AI, job automation, and new edition of ‘Rise of the Robots’
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Interview with me about #AI, job automation and the new edition of my book #RiseoftheRobots publishing on June 2 in the Danish newspaper Borsen.
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MiniMax releases M2 series technical report for agentic tasks
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MiniMax just released a technical report for the MiniMax-M2 Series! The MiniMax-M2 series, a family of Mixture-of-Experts models designed from the ground up for agentic tasks. The flagship M2 packs 229.9B total parameters but activates only 9.8B per token—thanks to an
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MIT Study: AI Agent Token Costs Dominate Inference Economics
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MIT just killed the idea that cheaper tokens mean cheaper AI. A paper from MIT, Stanford, Google DeepMind, and Microsoft found agents use 1000x more tokens than chat. The cost isn't the code they write. It's re-reading context on every loop. Same task, same model: 30x cost