Why CEREBRO kept it

Context engineering > model choice, core insight

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Appeared in 1 briefing

• 2026-09-25

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Shares tags: ai/llm-mechanics · cerebro/signal

• Opus 5.5 just filed a pull request that changes the streaming behavior in T3 code. It's so cool that I can send off a prompt with a vague idea of what I want, and the result is a ready-to-merge pullx · 2026-09-25
• AI/ML Series (Lesson 15/100): Most AI agents fail because of the model. That is the biggest misconception in enterprise AI. The real failure is memory. An AI agent that cannot remember the right ix · 2026-09-25
• AI Engineering- Bonus We spent 15 parts exploring the pieces. Now here’s how they fit together. → Context → Agent Loop → Memory → Tools → Harness → Guardrails → Execution → Verification → Ox · 2026-09-25
• Teaching Everyone to Fish for Tokensrss · 2026-09-25
• (AINews) Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMsrss · 2026-09-25
• RT @addyosmani: Introducing Claude Opus 5.5! 40% lower cost than Opus 5 with cache reads 60% cheaper. It performs at the level of Claude Fable 5.1 for most tasks. I celebrated with a pelican riding ax · 2026-09-24

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