NAll news

Sunday28 items

  1. shao_mengOpinion
    AI score60

    English translation is being prepared.

    how do you trust your agents' work more? copy this post/link and give it to your @bot or agent! 1. codebase improvements: this is just good software engineering - better architecture, stronger types and invariants, clear boundaries. agents love to copy what exists and take the shortest path, so make the easy thing the right thing. categorically eliminate problems through code and you won't need to think about it again. 2. static analysis: lint rules, tests, CI, verification (eg TLA+). very token efficient ways to catch issues ahead of time. 3. prose: comments, rules, AGENTS.md, skills - anything that can't be enforced and requires agent judgment. use it minimally, but do use /create-verification-skill. 4. human review: the hardest to scale. at the rate agents land code, it's pretty much impossible to thoroughly review every PR, so spend that effort on the highest leverage point, designing an environment where agents do the right thing by default. this forms an inverse pyramid: you want most of your effort at the top, least at the bottom. codebase improvements are deterministic, making it more token efficient, and lets you sleep more soundly at night. install https://t.co/u9xIlN3eN0 and create a new Project: 1. look through my slack/chat messages and code review comments where i've given feedback on PRs, code, architecture 2. use /recall on my past transcripts to learn how i steer agents 3. /poteto-mode use /correct and /architect on past commits to find the most common pitfalls agents fall into, then propose a plan to rearchitect the code i own so it's more agent friendly. answer open questions with prototyping rather than defer to me, and back the plan with real data. 4. before you begin, use /sharpen + /in-your-own-words and confirm this prompt with me

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    #English text is being prepared.#Agents#English text is being prepared.

  2. thom_wolfOpinion
    AI score77

    English translation is being prepared.

    🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

    #English text is being prepared.#Model releases#DeepSeek

Saturday7 items

  1. Rohan PaulOpinion
    AI score53

    Jensen Huang on export controls: optimize the flywheel rather than block computing power

    In his conversation with Lex Fridman in Taiwan, Jensen Huang opposed computing power export controls and advocated replacing blockades with flywheel logic. He believes blockades make sense for physical goods such as rare earths, bullets and bombs, but the more widely the U.S. sells computing technology, the safer it becomes: sales generate wealth, wealth is invested in more R&D, and this cycle keeps the U.S. ahead, because the safest countries in the world tend to be the wealthiest. The full video was posted on Lex Fridman's YouTube channel.

    #English text is being prepared.#English text is being prepared.#OpenAI