AI Summarized Hacker News
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Raven is EverMind AI’s self-improving multi-agent harness built for recursive self-improvement (RSI). It orchestrates built-in agents—Raven-Research, Raven-Code, Raven-Design, Raven-Oncall—and can connect to third-party agents via ACP, CLI, or OpenAI-compatible APIs. Its modular architecture (Memory, Planning, Capability, Action) is driven by Raven Evolver to continuously enhance its harness and tools. EverOS memory preserves context across sessions; SkillForge provides thousands of skills. Raven supports web UI, Docker/install workflows, and can operate as a standalone agent ecosystem. Demonstrations include complete autonomous projects (THRESHOLD game, RSI experiments, Raven launch). Apache-2.0.
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US sanctions on the ICC in The Hague spurred the Netherlands to reduce reliance on Microsoft, creating a NixOS-based government stack called DAWO (Digital Autonomous Work Environment). Three providers—SSC-ICT, DICTU, and DUO-ICT—are implementing it under the Ministry of the Interior. Eight municipalities are testing the system now, with a first stable release expected by the end of 2027. Germany, Denmark, and France are pursuing similar shifts away from Microsoft.
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Delhi slashed distribution losses from over 50% in 2002 to about 5–6% by 2026, and reliability rose from ~70% to over 99.9%. Key steps: unbundling and privatization under the Electricity Act 2003; Tata Power-DDL and BSES taking over; grid upgrades with SCADA, digital meters, capacitor banks, voltage regulators, insulated lines; replacing aging transformers; anti-theft measures and stronger enforcement; better billing with 24/7 kiosks and online payments; targeted programs in high-loss pockets; AI for theft detection and demand forecasting; rooftop solar and efficiency reducing load. Result: reliable power enabling growth and improved quality of life.
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Evan Doorbell's Phone Tapes is a Telephone World-hosted documentary collection of 1970s phone-system tapes. It features a Group 1 Playlist with 95 narrated trips, Production Tapes (narrated with full descriptions) and Raw Tapes (un-narrated). Tapes cover regional trips (New York, Atlanta, California, Carolinas, Florida, Quebec, etc.) plus conferences and other miscellanea. The material is copyrighted by Evan Doorbell and freely redistributable but not for sale. Social: Twitter/X @evandoorbell, YouTube @evan-doorbell.
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Optimizing x264 settings and using per-title ladders can greatly reduce bandwidth with little perceptual loss. Tests show tuned x264 raises average VMAF by 0.66 while bitrate falls from ~4.9 Mbps to 3.27 Mbps (≈33% savings), at ~3.2× encoding time. Breakeven is ~186 viewing hours at $0.02/GB. The study compares a fixed ladder to per-title ladders: top-rung quality is similar, but lower rungs gain more for per-title. Six clips cut bitrate by 44–64% with small VMAF loss; three hard clips need higher bitrates for gains. Per-title benefits depend on content and top-rung target; optimize H.264 first, then consider HEVC/AV1.
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London ran a six-month live facial recognition trial in its busiest rail hubs, costing £320,786 and consuming almost 100 police hours. More than half a million faces were scanned across 18 deployments February–July. The effort produced only one watchlist alert, which proved to be a false positive, and yielded no arrests tied to LFR. After extending the trial by four months and extending to London Underground, there have been a few confirmed alerts, but individuals were found to be complying with court orders or not linked to offences. Critics urge proportionality and safeguards.
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Jeeves is a 9B Jev-like decision model built from Qwen3.5-9B (LoRA, pointer head) with a diffusion drafter. Trained with SFT and CISPO plus 9,992 RL questions, it reasons before it decides and supports yes/no, multiple-choice, and rating queries via a Jev-compatible API. It outperforms Kev-9B and Jev on JevBench public items (0.935 vs 0.866) and on held-out test data (0.889 vs 0.857). Inference is ~0.3 s without thinking and ~3.3 s with thinking on an H100; speeds up with shorter reasoning chains. Local weights and serving scripts are provided.
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Derek Thompson argues hosting in America is disappearing. Using DDB Needham and Data For Progress data, he shows the share hosting or attending a dinner party monthly fell from 42% in 1975 to 12% in 2026—a 70% drop. Hosting hasn't simply moved to restaurants; overall face-to-face socializing has declined. Four explanations: (1) busier dual-earner households; (2) intensive parenting; (3) shrinking friendship networks, especially among the less educated; (4) preference for being home alone with screens. He calls it a coordination failure of modern leisure—a “Lump of Leisure” replaced by technology.
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Could not summarize article.
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Startup Nights is Switzerland’s largest startup event, returning for its 10th edition on 5–6 November 2026 at Eulachhallen Winterthur. Over two days it blends keynotes, workshops, pitch competitions, panels, startup booths and extensive networking. Attendees use a matchmaking platform to meet investors, co-founders or partners; founders can pitch or showcase. Tickets grant access to both days with food and drinks; investor and corporate tickets add VIP lounge and workshop access. Extras include a 20% Park Hotel Winterthur discount with code Startup26, Spacetalk rounds, an event app, venue map, and FAQs.
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Promotes a locally runnable Cyber-OSINT model with 7B/26B MoE variants, 262K context, trained on 6,500 OSINT/CTI instructions and fine-tuned for cyber threat intel and investigations. Features threat-actor attribution, IoC pivoting, geolocation, Admiralty source grading, and runs on an 8GB GPU. Includes post-training cyber/DevOps datasets (32K native, 131K with YaRN) and is presented as a true finetune, not a generic system prompt. Link to Hugging Face.
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- Writing with AI Can Reduce Gender Bias in Hiring Evaluations: LLM autocomplete influences résumés; counter-stereotypical prompts help Jennifer but may trigger backlash; author notes ethical implications and potential collaboration.
- It Didn’t Feel Right but I Needed a Job so Desperately: analyzes 405 scam posts to reveal emotional motives and help needs, informing interventions and linking to cybercrime research.
- How Does My Time Use Align With My Values?: value-based personal informatics; life-study approach with cross-cultural and longitudinal extensions.
- Participatory, Not Punitive: Student-Driven AI Policy Recommendations: student-led design policies; Davis envisions replication and educational venues.
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Eniko Fox describes a software depth-occlusion culling system for Block Game running on a weak CPU. The CPU renders a 256×128 depth buffer, uses 16×16×16 chunks and a 5-level mipchain of subchunks to identify occluders and occlusion candidates. Through optimizations—cheap 3×3 transforms, world-space frustum planes, filtering to chunks with visible faces, prioritizing nearby occluders and distant candidates, and multi-level subchunks—the runtime dropped from ~150 ms to about 4% of that at moderate render distances, yielding much higher FPS in many cases. Limitations include 1-pixel inset gaps and limited occluder reach; future work: 1-thick subchunks, possibly superchunks; Mastodon/Bluesky links.
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Gergely Orosz highlighted a global outage where a Firebase iOS SDK server-side change crashed all app sessions. Devs questioned why a breaking change reached production without tests or validation, and Firebase's status page largely lacked updates for hours. The GitHub issue begged for a rollback; after several hours the change was rolled back, but incident management was slammed as amateur. The thread drew parallels to past crashes and raised asks for a postmortem and better incident handling from Google; Orosz planned to publish a deeper analysis.
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Curated repository listing uncensored/open-weight LLMs tuned for offensive security and authorized red-team work. It aggregates 27 models (from 7B to 753B params) such as DeepHat V2, CYBER-FROST, CyberPal 2.0, RavenX-CyberAgent, GLM-5.3-CYBERSECURITY-FP8, Qwythos-9B, Imperum, Lily-Cybersecurity, etc., with details on base architectures, context lengths, VRAM, uncensoring methods (SFT, abliteration, obliteration), training data, licenses, and download links. Also covers deployment stacks (Ollama, vLLM, SGLang), cloud options, and glossaries. For authorized security research only. Sep 2026.
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Godot can load C++ code via GDExtension and godot-cpp, turning native classes into regular engine nodes. The hard part is building: godot-cpp must match the Godot version, and each library must be built per platform. ConanCenter provides a godot-cpp recipe and a Conan workflow to automate this. The article demonstrates a GDExtension using flecs (an ECS) to simulate 100,000 particles, with a Conanfile.py declaring godot-cpp and flecs as dependencies and wiring CMake to choose the correct target. Build once per config, then Godot loads the shared library as gdextension. This streamlines cross-platform distribution.
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Tibo: Pro $200 subscriptions reopen to new subscribers with a new usage calculation that nets about half the old API spend. Despite the change, you’ll get more work done at higher quality over time due to model improvements and price reductions (GPT-6 Sol/Luna at 50%). No 5-hour limit return; more benefits will be added to the subscription that won’t draw on usage. More details to come before tomorrow’s announcements.
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A Stratus fault-tolerant server, booted in 1993 by Phil Hogan at Great Lakes Works EGL (now part of U.S. Steel), still runs with ~80% of hardware original and has never suffered an unplanned downtime. It uses an ancient Stratus VOS OS and a character-based interface; parts are purchased third-party and there’s no maintenance contract. Despite plans for an upgrade in April after the 2015 acquisition, the machine’s reliability kept it in service, possibly the oldest Stratus system; its retirement will mark the end of an era.
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Could not summarize article.
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