AI Summarized Hacker News
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docker-lisp is a Docker-based Lisp environment. It provides scripts to build base images and builtins, run tests, and execute Lisp expressions inside containers. Typical workflow: build via scripts/build-base and scripts/build-builtins, run tests with scripts/run-tests, evaluate expressions with scripts/run eval '(cons 1 2)', and build/run programs using scripts/build and scripts/run. The README outlines usage and available images (docker-lisp/base-racket, docker-lisp/base-call).
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Yedidia visualizes ARM64 by mapping every 32‑bit encoding onto a Hilbert curve and coloring by instruction class (general, system, float, fpsimd, advsimd, sve, etc.). The visualization is built from ARM’s MRA spec (June 2023, ARMv8.9): enumerate ~3,000 encodings and decode all 32‑bit words, applying Capstone post-processing to drop invalids. An interactive version exists, though Capstone limits can cause fallbacks. He also uses a Hilbert-curve heatmap to visualize the Lightweight Fault Isolation (LFI) verifier’s legal instruction space under ARMv8.0 invariants, illustrating register and addressing restrictions. Future work includes extending to more extensions and RISC-V.
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EU Tech Map is a directory of GDPR‑compliant, Europe‑hosted software and services, featuring 500+ European companies across 30+ categories. It helps users find privacy‑respecting, EU‑based alternatives to popular US tools (Google Analytics, AWS, Salesforce, Slack, etc.). Features include browse by category or country, an interactive map, news, and a submit‑a‑company option. The site positions itself as a leading directory of European software and data‑sovereign solutions hosted in Europe.
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Openfuse is a centralized circuit-breaker platform for distributed systems and third-party deps. Define trip policies (thresholds, windows) and actions (open breaker, alert) from a dashboard; breakers stay in sync across servers. Every state change is logged with context for traceability. Integrates via npm @openfuseio/sdk (example provided). Real-time state history and audits; pricing includes a free tier and scalable plans with features like RBAC, SSO, audit retention, and support.
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Electrobun v1 is Yoav’s cross‑platform desktop app framework, built over two years to fix Electron‑style DX. It moves from macOS‑only to macOS, Windows, and Ubuntu, with automated installers, auto‑updates, and differential patches (zig‑bsdiff, SIMD, zstd). It offers window controls, menus, shortcuts, clipboard, dialogs, webview partitions, session storage, find‑in‑page, and a true “super iframe” webview that avoids cursor flicker and requires no engine patches. Next, co(lab) shifts entirely to Electrobun; community growth, Blackboard’s first major project.
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EU firm survey data matched to US peers show AI adoption raises labour productivity by 4% on average with no short-run employment loss. Benefits are larger for medium/large firms and for those investing in intangible assets and human capital. Complementary investments matter: +1 percentage point in software/data raises AI gains by 2.4 pp; training adds 5.9 pp. Adoption varies across countries and firm size; larger and financially developed EU countries catch up to the US. Policy implications: improve financing for small firms, promote integration and fusion skills training, and monitor wage and inequality effects.
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Step 3.5 Flash is StepFun's open-source LLM designed for fast reasoning and agentic action. It uses a sparse Mixture-of-Experts backbone (196B total, 11B active per token) with a 256K context window and a 3:1 Sliding Window Attention mix, enabling long-context reasoning. It excels at tool-use and multi-agent workflows, supports edge–cloud collaboration with Step-GUI, and runs locally on high-end hardware (Mac Studio M4 Max, NVIDIA DGX Spark) with INT4/INT8 quantization. Benchmarks across math, coding, and research show strong results; the model uses MIS-PO RL for stable long-horizon training. Available via API and OpenClaw.
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Claude Code Docs cover legal agreements, compliance, and security. Commercial terms apply to Team, Enterprise, and Claude API users; Consumer Terms apply to Free, Pro, and Max. A BAA with Zero Data Retention extends to Claude Code for eligible customers. Usage follows the Anthropic Usage Policy; Pro/Max limits assume ordinary usage. Authentication uses OAuth tokens or API keys; OAuth tokens from Free/Pro/Max accounts may not be used in other products, and API keys should be used via Claude Console or a supported cloud provider. Third-party login or routing credentials through Free/Pro/Max is not allowed. Vulnerability reporting via HackerOne.
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Blog post presenting eight photo themes under the All Look Same project: Faces in NYC (100% Chinese/Japanese/Korean subjects), Modern Art from Fondazione Sandretto Re Rebaudengo in Italy, Traditional Architecture (temples), Travel Photography by Matt McCoy and by Moon Lee across Asia, Urban Scenery (modernization’s sameness), Food (origin vs. location), and Architectural Details. It emphasizes photos’ locations, links to moonlee.org, and credits Dyske Suematsu.
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Respectlytics is a privacy-first, self-hosted mobile analytics platform that stores only five fields per event (event_name, session_id, timestamp, platform, country) and never persists personal data. Session IDs rotate every two hours; IP-derived country is computed transiently and not stored. No user IDs, device IDs, cookies, or cross-session tracking. Data retention is configurable; by default events can be purged. The project is Django/Docker-based, requires PostgreSQL, and offers an API and SDKs. License: AGPL-3.0.
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Minecraft Java will switch its rendering from OpenGL to Vulkan for the Vibrant Visuals update, announced Feb 18, 2026. Mojang says Vulkan will enable modern visuals and better performance while keeping Java Edition playable on macOS and Linux (macOS via a translation layer since Apple uses Metal). Modders should prepare to move away from OpenGL toward Vulkan-friendly rendering; OpenGL and Vulkan will co-exist in snapshots this summer during a testing period, with OpenGL eventually removed once performance and stability are verified. Older GPUs without Vulkan may be left out.
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Over 15 years Nvidia has widened the FP64:FP32 gap on consumer GPUs—from 1:2 on Fermi (GeForce 1:8) to 1:64 by Ampere—while FP32 climbs (1.35→104.8 TFLOPS). Enterprise GPUs kept 1:2–1:3 FP64 due to HPC needs and higher margins. AI workloads reduce FP64 demand, prompting emulation: splitting 64-bit numbers into FP32 parts and Ozaki-based schemes that use tensor cores; cuBLAS supports Ozaki since 2025. The RTX 5090 is 1:1 FP16:FP32; Blackwell Ultra B300 drops FP64 to 1.2 TFLOPS (1:64). FP64 emulation is likely here to stay, shifting the divide toward low precision rather than raw FP64 hardware.
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The post argues that HM versus bidirectional typing is a false dichotomy. The real question is whether your language needs generics, which usually require unification. HM centers on unification; bidirectional typing can also use unification and, with annotations, can typecheck without relying on inference. By adding a check step, bidirectional typing becomes a superset of HM. So, decide if you want generics; if yes, unification; if not, you can use bidirectional typing without it, especially for DSLs or learning experiments. Bidirectional typing covers both paths.
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Roads to Rome is a data-visualization/art project by Benedikt Groß and Philipp Schmitt that visualizes mobility patterns from city to continent using OpenStreetMap data and the GraphHopper routing engine. The work blends information visualization and data art to show how road infrastructure reflects regional, political, and geographical realities. Outputs include large 120×80 cm lambda prints and an interactive Explore web app (roadstorome.moovellab.com). Built with Turf.js, Leaflet, Mapbox GL JS, tippecanoe; backend Node.js and MongoDB. It has numerous exhibitions, awards, and extensive press coverage.
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Azure SQL now supports native vector search in Azure SQL and SQL DB in Microsoft Fabric, with langchain-sqlserver to treat SQL Server as a LangChain VectorStore. The tutorial adds generative AI features using Azure SQL DB, LangChain, and LLMs, with Harry Potter as a dataset. Use cases: Q&A with context-rich answers and a fan-fiction generator from embeddings. Steps: install langchain-sqlserver, load and chunk data from Azure Blob, generate embeddings with Azure OpenAI, build the vector store, and perform similarity searches with optional metadata filters. GitHub samples: azure-samples/azure-sql-db-vector-search.
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An issue detailing blockers to moving Swift 6.0 support out of experimental for LadybirdBrowser. It catalogs compiler/toolchain problems (Swift/LLVM fixes missing for Clang ICE, backport gaps), interop ABI failures (Swift<->C++ Optional, bridging headers), C++ interop cycles with libstdc++, and CMake/Ninja build issues on Linux/macOS. Workarounds include building Swift from source without LLVM assertions, avoiding certain return types, and adjusting CMake/module maps. Several items have upstream fixes in swift:main and release/6.0, but backports remain incomplete; the issue aggregates tasks and PRs for resolution.
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The author builds a personal, disposable sleep-tracking interface via FitBit’s API, arguing a product is more than its UI—a wearable device, a data store, and a analytics platform. Vibe coding lets users extend products for niche needs, and AI agents may bypass interfaces entirely. This disintermediation pressures interface monetization, but those who monetize the service layer (APIs and capabilities) can endure as interfaces fragment. In 2026, the durable part of a product is the service layer; strengthen it and let interfaces churn.
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Could not summarize article.
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