AI’s next bottleneck is not just compute. It is time. Time lost moving data.
Time lost coordinating chips.
Time lost waiting on memory, interconnects, and software layers to catch up. That shift changes how we should think about AI infrastructure. A thread… #HuaweiPartner
SOFTWARE
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AI’s next bottleneck: time, not compute
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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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OpenAI and Anthropic documentation lags products with obsolete advice
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In general, OpenAI and Anthropic documentation lags their own products by months, and both companies have tons of obsolete and contradictory advice scattered around their sites.
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Reducing AI Hallucinations: Techniques and Justification with Code Examples
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Full send! If you have techniques to reduce hallucinations, I'm all ears. I ask it to justify each conclusion precisely with examples and references within the code. It works well, but I think we can do better.
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AI coding tools expand features but remain poorly documented
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The capabilities of Claude Code and Codex have expanded a lot in recent months, they added many ways to approach work (subagents, skills, goal, workflows, plugins, etc). Given the AI labs can use their own AI to help documentation, a surprising amount is effectively undocumented
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Copilot SDK can now be used as a harness
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That works for quite a while; new is that you can even use Copilot SDK as harness.
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Mapping IT Applications for AI Integration: A Challenge and Use Case
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En ce moment, je travaille pour un client qui a besoin de revoir tout son SI, un peu à la traîne, afin d’y intégrer de l’IA. Et le plus difficile, c’est de réussir à cartographier toutes les applications.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 4 juin 2026
Et avec l’IA, c’est un excellent cas d’usage.
Parce que oui, l’IA peut… pic.twitter.com/p3cjvNwgR8Currently, I am working for a client who needs to overhaul their entire IT system, which is a bit behind, in order to integrate AI. And the most difficult part is successfully mapping all the applications. And with AI, this is an excellent use case. Because, yes, AI can
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The latest Gemma runs on a PC with 8 GB of RAM
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the latest Gemma can run on a computer with 8 GB of RAM
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Claude’s training data may explain cleaner iOS work
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Could be training data. Whatever Claude saw more of, iOS work seems to land cleaner.
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Rodin generates 1M-polygon models in just 4 seconds
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The crazy part is speed.
— God of Prompt (@godofprompt) 4 juin 2026
Rodin can generate 1M-polygon models in as little as 4 seconds.
That means you can explore ideas almost instantly instead of waiting forever for one output that may not even work. pic.twitter.com/SnrV4lcUwvThe crazy part is speed. Rodin can generate 1M-polygon models in as little as 4 seconds. That means you can explore ideas almost instantly instead of waiting forever for one output that may not even work.