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llm

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The Real Reason AI Agents Are Wasting 10x More Power | Avinash Lakshman, Weilliptic

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The unreasonable effectiveness of BM25 for agentic search — Jo Kristian Bergum, Hornet.dev

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BM25 did not get bet…

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Evaluation of agenti…

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CMU AI Agents 2026: 1. What are Agents and How Do They Work?

Context compaction i…

Harness engineering …

Tool use is a typed-…

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The ReAct loop is de…

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How Anthropic Builds And How Engineering Will Change Soon | Thariq Shihipar

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Verification code vo…

Loop engineering: re…

Artifacts as an outp…

Knowledge-work reduc…

Abstraction shift: t…

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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A structural circula…

Capital expenditure …

Human pattern-percep…

The tooling market i…

The 2012 deep learni…

The Gartner Hype Cyc…

The Dangerous Illusion of AI Coding? - Jeremy Howard

LLM code generation …

The Anthropic C comp…

METR data is cited s…

AI coding tools crea…

Knowledge is claimed…

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The slope-versus-y-i…

[Evals Workshop] Mastering AI Evaluation: From Playground to Production

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Evaluation splits in…

Production traces ar…

Scoring is deliberat…

Observability is att…

Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter

OpenRouter's plugin …

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Inference is treated…

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