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@hammer_mt
🧪 Head of Evals @Every 📕 2x O'Reilly author: Prompt Engineering / DSPy 🎓 400k students on AI Udemy course 🤖 AI engineer since 2020 📈 Built 50 person agency
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The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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Every says the one-hour session would build a DSPy program, show how its optimizers improve results and answer audience questions.
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The authors recommend putting distinguishing words first and keeping structure and vocabulary consistent across items.
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Shreya says readers can order it on Amazon or get a copy at a book signing.
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A journalist says the loss was tied to accounting adjustments and compute spending is set to exceed $600 billion.
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One post urges people to read AI-generated text before pasting it and make agents convey their best ideas.
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A user argues that evaluations are central to selling data to frontier labs and building self-improving models.
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A post argues that tasks AI can check independently can be scaled up, while other work still needs human judgment.
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Goodfire researcher Nick Cammarata argues that modern tools reveal most neurons as legible in models up to trillions of parameters.
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Its author linked to O’Reilly and said on October 15, 2026, that the book should be on Amazon soon.
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A post links to a photo without offering any explanation beyond 'hmm.'
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Google says Argon is available through its paid API tier and to Pro and Ultra subscribers in Gemini and Search.
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The author says the linked story covers how they ‘cloned’ @NataliaZarina, @kdaigle and @danshipper.
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Every’s head of evals says they’re working with 15 people internally to build their own personal benchmarks.
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A user testing LLM judges says more compute yielded better checks, though their answer was “yes, kind of.”
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The poster describes the apps as polished, well-designed and reliable, rather than rough prototypes.
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Someone involved in building the Every agent says the team couldn't have built it without Claude Managed Agents.
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A post introducing Every Agent says it offers a taste of working with a group of roughly 30 AI-focused people.
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A poster calls evals the biggest blocker in most agent development pipelines and hints at changes for LangSmith users.
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Dan Shipper says his interview with Altman covers how he uses dots to manage OpenAI and reduce his screen time, plus his 'ultrafast' default speed setting.
