Morning Edition · Thursday, July 9, 2026
TriRoute Proposes One Learned Router for Experts, Depth, and KV-Cache at Once
The method jointly allocates mixture-of-experts, layer-skipping, and key-value cache budget per token, targeting the conditional-computation gains that current techniques capture only one axis at a time.

A paper introducing TriRoute argues that conditional computation, spending more compute on hard tokens and less on easy ones, is being underused because the leading techniques each act on a single axis. Mixture-of-Experts sparsifies the fee…
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Frontier Model Efficiency Gains
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- Anthropic's Claude Sonnet 5 Pushes Agentic Coding Down the Price Curve
- OpenAI Withdraws Support for SWE-Bench Pro After Finding a Third of Tasks Defective
- NVIDIA's Nemotron 3 Ultra Matches Closed Agents at a Tenth of the Cost in LangChain Tests
- OpenAI Sets National-Security Principles as It Deepens Government and Defense Work
- Meta's Brain2Qwerty v2 Decodes Typed Sentences From Brain Scans at 61% Word Accuracy
- Researchers Show Long-Term Memory Turns AI Agents Into Poisoning Targets
- OpenAI Launches GPT-Live, a Full-Duplex Voice Model Powering ChatGPT Voice
- General Intuition, Kyutai and Epic Games Open-Source a Playable Rocket League World Model
- AI Vendors and Clouds Push Millions in Free Compute Credits to Lock In Startups
- New Theory Maps When Extra Test-Time Reasoning Actually Helps LLMs