1/5 Our latest Labs in Front piece: Agent pipeline order matters. By reversing a common agent recipe – scale first, enrich second – we reached SOTA on a Dec ‘25 to Mar ‘26 slice (123 issues): 60.9%.
INDUSTRY
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Nvidia AI releases fully open Nemotron 3 Ultra on Hugging Face
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As always, Nemotron 3 Ultra is fully open. This includes model weights, synthetic data, and post-training recipes. Available now on @huggingface →
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PlantOS: Correlating motor current, pressures, and descaling performance
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PlantOS correlates motor current vs rolling force, hydraulic pressures vs strip dimensions, descaling performance vs surface drag patterns.
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AI Services Split: Navigating the Shift from Digital to Phygital
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The AI Services Split: From Digital to Phygital
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Agentic AI: Solving Skilled Labor Shortage in Manufacturing and Supply Chain
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Agentic AI offers huge value for addressing the skilled labor shortage across manufacturing operations and supply chain.
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GitHub launches GH-600 certification for Agentic AI Developers, focusing on safe CI/CD integration.
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The "Agentic AI Developer" is no longer a buzzword. It’s a formal credential. @github just dropped the GH-600 certification. This isn't about writing prompts. It’s about integrating AI agents safely into CI/CD pipelines without introducing catastrophic failures. To pass
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SambaCloud’s MASSIVE 435 t/s output speed for OpenClaw multi-agent frameworks
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that -
Trust not intelligence is the real problem with AI investing
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Everyone wants “smarter AI” in investing.
— Linus ✦ Ekenstam (@LinusEkenstam) 4 juin 2026
Cute.
The problem was never intelligence.
It was trust.
Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number.
That’s the gotcha.
AI can be brilliant and still be unusable when the… https://t.co/mdeciHCkW0Everyone wants “smarter AI” in investing. Cute. The problem was never intelligence. It was trust. Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number. That’s the gotcha. AI can be brilliant and still be unusable when the
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AI employment claims: A history of overhype and unfulfilled predictions
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A brief history of claims about AI and employment 2016: Hinton said radiologists would soon be replaced; they weren’t. He was hyping his tech, not basing it on careful analysis of the industry. 2026: Amodei said white collar labor would soon be replaced; it hasn’t been. He was
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Abacus AI: Build, Host, Run Cloud Services with LLMs & AI Models
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🚨 Abacus AI SuperComputer – Build, Host and Run Any Cloud Service!
— Abacus.AI (@abacusai) 4 juin 2026
– 24/7 cloud computer
– spin up local LLMs, agents and databases
– access 100+ AI models
– use Claude, Codex or AntiGravity
– run OpenClaw or Hermes
– host servers, APIs or run scheduled tasks
– prompt ->… pic.twitter.com/VLxLCtwH9kAbacus AI SuperComputer – Build, Host and Run Any Cloud Service! – 24/7 cloud computer
– spin up local LLMs, agents and databases
– access 100+ AI models
– use Claude, Codex or AntiGravity
– run OpenClaw or Hermes
– host servers, APIs or run scheduled tasks
– prompt ->