My takeaway: AI inference is no longer just a model problem. It's a system-level time problem. For enterprise leaders, AI performance and AI economics are becoming inseparable. Learn more about Tau Scaling and what it means for the post-Moore era: https://
chinaxiv.org/abs/202605.002
24?locale=en
… What
COMPUTING
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AI Inference: System-Level Time Problem in Post-Moore Era
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Why AI inference prioritises low latency over raw compute
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Why does this matter for AI inference specifically? Training = throughput problem. Inference = latency problem. When a user talks to an AI assistant, tokens have to return fast. Latency, memory access, bandwidth, and interconnect all matter, not just raw compute. In large AI
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Huawei’s Tau Scaling Law reframes AI performance bottleneck
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 16 juin 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/YihGFx75cyMost 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
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The Growing Alphabet of AI Chips Explained
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The Growing Alphabet of #AI Chips Explained
by @antgrasso #ArtificialIntelligence #Innovation #EmergingTech -
AIKosh SDK: Shortcut to Thousands of AI Resources
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Imagine having a shortcut to thousands of AI resources. That's what the AIKosh SDK does.
Instead of manually searching, downloading, and organising datasets and models, developers can access AIKosh directly through Python and bring resources into their projects with just a few -
Rebuilding computing from first principles for agent systems
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Many things in the computing world will be re-built from first principles for agents We never thought concurrency, parallelism, or sandboxing would be as important
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Small specialized models will beat frontier intelligence
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Frontier intelligence will be beaten by small and specialized models
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Host Your Own Local LLM on Abacus AI SuperComputer
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🚨 Host Your Own Local LLM On The Abacus AI SuperComputer
— Abacus.AI (@abacusai) 16 juin 2026
Stop being sad about Fable and control your destiny by hosting your own LLM
– host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents
Use SOTA models like GPT… pic.twitter.com/Etj52juJ4vHost Your Own Local LLM On The Abacus AI SuperComputer Stop being sad about Fable and control your destiny by hosting your own LLM – host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents Use SOTA models like GPT -
Local LLMs Web Access with SearXNG, Firecrawl, Camofox
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PROP TIP Running LLMs locally? Give them web access My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this
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Codex supports Chrome DevTools protocol for inspecting and modifying websites
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OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website.
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 juin 2026
It is still a very early implementation, but I bet that in several years this will be a default browser capability. If… pic.twitter.com/mvLpRwnUXIOPENAI: Codex now supports the Chrome DevTools protocol for use in the browser. This is a considerable superpower that will allow Codex to inspect and modify any website. This is still a very early implementation, but