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DeepSeek-V4-Pro GA Release | DeepSeek API Docs

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🔥 Discover this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks. 🔷 Native OpenAI Responses API support, optimized for Codex with one-click setup. V4 Pro is now available on app/web. Try it via “Expert Mode”. V4 Pro is also available via API. Model names remain unchanged—please refer to the API docs for setup details. API pricing update 💰 With the V4 lineup…

Why does Opus 5 feel worse to work with?

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🔥 Explore this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: In my opinion and that of the colleagues I've spoken with, working with Opus 5 feels like a downgrade compared to Opus 4.7, Opus 4.8, and Fable. I'm not claiming a step backwards in capabilities – it is a more capable model than Opus 4.7 and Opus 4.8 and even rivals Fable in benchmarks, yet these other models feel better to work with. I believe this is because they: stop and ask questions if my intent was unclear, don't make assumptions without checking, and don't…

What Vault Operator can do

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💥 Read this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Most AI tools sit outside your knowledge base and wait for you to copy and paste. Vault Operator lives inside it. It reads your notes, follows the graph that ties them together, picks up your habits, and acts on your behalf.This page is the short tour. Each section links out to the guide that goes deep.Prefer to watch? This 7-minute animated explainer walks through the agent from the inside: the loop, the harness with its five gates, tools, skills, and MCP, then one real job…

JustVugg/lumabri: Run huge MoE models from a swarm of peers, with the colibri engine. Pure C. · GitHub

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🔥 Explore this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Run huge mixture-of-experts models from a swarm of peers, with the colibri engine. Pure C, no dependencies. One machine shares a model. Any other machine chats with it. Nothing is downloaded up front: the bytes an inference actually touches arrive from a peer on first use and stay in a local mirror, so the second question is served from local disk at full speed. The engine binary is never modified. Any machine may join, GPU or not. The engine was built for CPU and SSD…

le Xiaomi 17 Ultra confond la Lune et le Soleil — Frandroid

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🔥 Read this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Quand nous avons photographié l’éclipse du 12 août avec le Xiaomi 17 Ultra, ce dernier a confondu la Lune et le Soleil. Cela s’explique par une astuce connue des smartphones, mais qui a bien raté ici. Pendant l’éclipse, le Xiaomi 17 Ultra a confondu la Lune et le Soleil… // Source : Photo et montage Frandroid On a pris en photo l’éclipse avec quatre smartphones différents pour savoir lequel était le meilleur. Dans le lot se trouvait le Xiaomi 17 Ultra et il s’est particulièrement…

Ruby 4.0 Universal RCE Deserialization Gadget Chain

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🚀 Explore this must-read post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: IntroductionOn August 5, 2026, OpenAI disclosed that a collective of AI agents under evaluation had broken out of their sandboxes and taken admin control of the cluster they were running on. It got there, in part, by exploiting Ruby deserialization to execute commands. That caught our attention, because in 2018 we published the first universal RCE deserialization gadget chain for Ruby, built entirely from the standard library with no dependencies. That chain works only against Ruby versions up to 2.6.10, and the most recent public…

Dan McKinley :: Choose Boring Technology

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🚀 Explore this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Probably the single best thing to happen to me in my career was having had Kellan placed in charge of me. I stuck around long enough to see Kellan’s technical decisionmaking start to bear fruit. I learned a great deal from this, but I also learned a great deal as a result of this. I would not have been free to become the engineer that wrote Data Driven Products Now! if Kellan had not been there to so thoroughly stick the landing on technology choices.…

Where did the old web go? We followed 657,607 links to find out.

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✨ Explore this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: An old 0.mk database backup held 657,958 links created between 2009 and 2014, along with their click counts. We restored 657,607 of those records as pre-2015 links and followed every destination in August 2026. Of 655,178 safe, crawlable link records, 76.7% no longer returned a loading page.Most 0.mk users were in Macedonia, so this is not a census of the entire web. It is a large surviving record of what one online community shared during that period, including local news, personal blogs, photo hosts, forums,…

Hello, me. It’s been a while. – The Mech

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✨ Discover this must-read post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Wow. It’s been over fourteen years since the last time I wrote a post on this blog. In those fourteen years, the world has changed, and so have I. So this isn’t going to be a technical post, it’s going to be personal. One of those subtle changes that quietly crept into my life over the years was filling the silence. As responsibilities piled up, free time became scarce. Almost without realizing it, I started filling every quiet moment with podcasts, audiobooks, or social media.…

Blog about things you don’t understand yet

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💥 Discover this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Every post I publish represents at least two things I’ve learned: the thing that prompted me to write the post, and the thing I learned in the course of writing it. If I don’t learn anything new while I’m writing, it’s not interesting enough to publish. Typically I learn way more than two things. For instance, in my o3 geoguessr post, I started out with the idea that most AI prompts probably don’t work, and I ended up learning that newer OpenAI models have lost…