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26183 Posts
16-year-old Mexican student creates an acoustic fire extinguisher that uses sound waves to put out fires in seconds

16-year-old Mexican student creates an acoustic fire extinguisher that uses sound waves to put out fires in seconds

✨ Check out this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Ángela Karime Venegas Hernández is 16 years old and has an idea no one else had. She studies at CETIS 78 in Altamira, Tamaulipas, and one day decided to put out a candle without blowing, without water, without anything but sound. She assembled a device with a 12-volt battery, a frequency generator, and a speaker that emits 30 pulses per second. That vibration pushes oxygen away from the flames, and the fire simply goes out in five to eight seconds. She tested it over…
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Benzi — Benchmarks

💥 Explore this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Benzi's KPI (Key Performance Indicator) — source lines read Every harness opens more source as bugs get harder. The question is the slope. Each point is one bug; the 24 are laid out easiest to hardest, left to right. Difficulty is Claude Code's turn count on that bug — a third-party yardstick, so no harness sets its own position on the axis. Lines read counts only what came back from file-read calls; grep and shell output are search, not reading. The figure beside each line…
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September 2026 / Anthropic \ Anthropic

September 2026 / Anthropic \ Anthropic

💥 Discover this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: AI-augmented cyber operationsCyber operations: From assistant to orchestratorOver the past six months, our Threat Intelligence team identified and disrupted a series of cyber operations in which threat actors used Claude. The actors included suspected state-sponsored groups, financially motivated criminals, and politically motivated individuals. This section presents some of those cases.Throughout these case studies, the report will reference Generative Threat Groups (GTGs). These are Anthropic’s internal designators for actors observed to be abusing AI. The report also attempts to measure uplift, a term we use to…
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strange things the human body does

strange things the human body does

💥 Check out this must-read post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Things that alarm people and turn out to be harmless. Each entry says when a doctor is still a good idea. Bones Variation Accessory ossicles Small extra bones, most often in the foot, that form when a growth centre never fuses with its main bone. They are harmless but can be mistaken for fractures on an X-ray. Up to 1 in 5 feet Brain Perception Alice in Wonderland syndrome Objects, body parts, or the whole room suddenly look far too big, far too small,…
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The part of Navier-Stokes no one is talking about

🔥 Explore this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Yesterday OpenAI announced a proof that settled a long-standing question about the Navier-Stokes equations from fluid dynamics. The announcement has created a lot of buzz, as one would expect. But there’s an aspect of OpenAI’s work that I haven’t seen anyone talk about: they posted a Lean 4 formal proof at the same time as their conventional human-readable proof. Quite a few other mathematical conjectures have been settled recently using AI, and these have also been accompanied with formal proofs, using Lean 4 in particular.…
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NTSB Issues Investigative Update on B-767 Runway Excursion Accident in Miami

✨ Read this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: ​​WASHINGTON (Sept. 9, 2026) — The National Transportation Safety Board is providing the following update on its investigation into the Sept. 6 runway excursion accident involving 21 Air Flight 7598, a Boeing 767-33A cargo airplane, at Miami International Airport.The following information from the cockpit voice recorder (CVR) and flight data recorder (FDR) is preliminary and subject to change.The NTSB recovered the CVR and FDR from the accident site and transported them to the NTSB’s Vehicle Recorder Laboratory in Washington, DC, where they were successfully read…
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Agents API | OpenAI API

Agents API | OpenAI API

💥 Check out this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41import OpenAI from "openai"; const client = new OpenAI(); const session = await client.beta.agents.sessions.create({ agent: { model: "gpt-6-astra", instructions: "Use the OpenAI documentation MCP and web search to answer technical questions accurately. Delegate independent research tasks to subagents when useful.", tools: [ 🔥, ⚡,…
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Genuine Creativity is Your New Moat

Genuine Creativity is Your New Moat

✨ Explore this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: ✍️AI makes it fast and easy to copy what’s already out there. If you build products or run a business, your competitive edge is not necessarily features or price, it’s ideas. This means getting in the habit of inventing new things is more valuable than ever. And to explain how, let’s look back at a strange time for the web: the era of Flash.Back in 2006, I worked at a tiny creative agency called Mutant Media, on 35th and 8th in Manhattan. We designed and…
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SWE-2 – Local AI Model

SWE-2 – Local AI Model

🚀 Read this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: 2.8T total params, 104B active per token (MoE) - the Kimi K3 base with Cognition’s post-training on top, and the first time Cognition has scaled RL into the multi-trillion-parameter regime. The base had already been RL-heavy for agentic coding; Cognition’s pass added another 5 to 6 points on most benchmarks. Serving stack: MoE inference on NVFP4 and FP8 kernels with quantization-aware training; FP8 carries K, Q, V, and score computations in the MLA layers. A draft model retrained with SpecForge gives 15% longer accept lengths,…
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JEP 544: Ahead-of-Time Code Compilation

JEP 544: Ahead-of-Time Code Compilation

🔥 Check out this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Summary Improve startup and warmup time by making optimized native code for an application instantly available when the HotSpot Java Virtual Machine starts. Achieve this by compiling application code to native code in a training run, storing the native code in the AOT cache for use in subsequent production runs. If the workload changes in production, regenerate native code dynamically for continued peak performance, providing the best of both ahead-of-time (AOT) and just-in-time (JIT) compilation. Goals Enable applications to achieve peak performance more quickly.…
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