LangSmith Engine makes your self-optimizing loops spin faster and faster
SYSTEMS
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Huawei’s Tau Scaling Law Key to Post-Moore AI Efficiency
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The future of AI will not only be shaped by better models. It will be shaped by faster, more efficient systems underneath them. That is why Huawei’s Tau Scaling Law (Her’s Law) matters for the post-Moore era. #HuaweiPartner @Huawei #AI #Semiconductors #ChipDesign #MooresLaw
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AI inference efficiency depends on data movement through memory, chips, and interconnects.
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This matters directly for AI inference. Every AI response depends on data moving through: memory,
chips,
interconnects,
and full systems. If that movement is slow, inference becomes slower, more energy-intensive, and more expensive to scale. -
Benchmarks vs product fit: why models aren’t the main problem
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Hot take 🔥
— God of Prompt (@godofprompt) 26 mai 2026
Most AI products don’t have a model problem.
They have a “we blindly worship benchmarks built for someone else’s use case” problem.
Your users don’t care what model won Twitter this week.
They care if your product works.
That’s why routers are the real unlock.… https://t.co/VTfSuVSJ4eHot take Most AI products don’t have a model problem. They have a “we blindly worship benchmarks built for someone else’s use case” problem. Your users don’t care what model won Twitter this week. They care if your product works. That’s why routers are the real unlock.
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Karpathy ditches RAG for autonomous Obsidian markdown wiki
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@karpathy literally ditched traditional RAG for an autonomous Obsidian file system. Instead of writing code, he dumps raw AI research into a local folder and lets an LLM convert it into an interconnected markdown wiki. He rarely edits the text manually. By relying purely on
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Uber’s AI Spending and Microsoft’s Claude Code Decision Highlight Routing Layer Need
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Uber burned $3.4B in AI budget in 4 months.
— Chubby♨️ (@kimmonismus) 26 mai 2026
Microsoft is cancelling Claude Code licenses company-wide.
The root cause is the same: no routing layer between the request and the model.
Build Your Own Router lets you match every request to the right model based on your own… https://t.co/5IwiuXAR5RUber burned $3.4B in AI budget in 4 months. Microsoft is cancelling Claude Code licenses company-wide. The root cause is the same: no routing layer between the request and the model. Build Your Own Router lets you match every request to the right model based on your own
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Knowledge Graph Extraction and Schema Design for AI Systems
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Exactly. The extraction step decides everything downstream, and most systems leave it completely unguided. The moment you add typed entities and constrained edges, the graph stops behaving like a vector store and starts being queryable. Schema should be step one, not an
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Karnataka Builds Integrated AI Governance Ecosystem
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“Karnataka is building AI not as isolated projects, but as an integrated governance ecosystem powered by shared infrastructure, reusable AI services, and scalable digital public systems.” At the AI-CoE Stakeholder Consultation under the IndiaAI Mission, Shri @iaspankajpandey
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Gary Marcus says Claude Code works in neurosymbolic system but fails alone
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it’s fine as a component in a larger (neurosymbolic) system, which is at last what Anthropic figured out, with Claude Code. but did in fact get stuck when used on its own, as i had predicted.
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Fast and High-Resolution Latent Decoding with Pixel Diffusion
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Image models usually VAE decode first, then super-res later, which is slow and mostly reconstructs rather than creates detail. This NVIDIA research makes the decoder itself a pixel diffusion model, so a 512^2