Front-page articles summarized hourly.
An inquiry into whether silent reading was unusual in Augustine’s era, drawing on Augustine’s Confessions (via Ambrose’s silent reading) as cited by William A. Johnson and Alberto Manguel’s The Silent Readers. It suggests silent reading may have been atypical in antiquity, contrasting with the idea that reading aloud was normative. The page notes the first printing of Augustine’s Confessions no later than 1470, a 2013 facsimile, and related media such as the 2010 film Des Leben des heiligen Augustinus, illustrating transitions from scroll to codex. Topics: book history, reading, literacy, religion, cinema.
Jake Goldsborough argues that AI assistants and faster tooling don’t kill software engineering—they rebirth it. The hard, mechanical parts that used to define the craft—regex, one-off parsers, arcane build intricacies, and wrangling messy data—were tolls, not value. By letting agents translate, generate parsers, or trace production, engineers gain time for the work that truly matters: understanding problems, directing systems, verifying outcomes, and owning the result. The learning loop tightens; ideas that once required a twelfth-week project can now be explored. Yet risks remain: access, overreliance, and new failure modes. The craft isn’t dead—engineering moves forward.
Garay benchmarked TabPFN and TabICL against tuned XGBoost on 14 Grinsztajn tabular datasets. The tabular foundation models make predictions without per-table training. TabICL beats tuned XGBoost on all 14 datasets by AUC; TabPFN wins in most cases but fails on Bioresponse (wide 419 columns) and some seeds. On 3,000-row data, TabICL is often under 1s; tuned XGBoost can take up to 27s. The width, not the rows, drives TabPFN’s cost. TabICL downloads freely; TabPFN licensing barriers exist. Conclusion: for quick, exploratory analysis on 1k–30k rows with under ~100 cols, foundation models can outperform boosted trees, with caveats.
Microsoft has quietly dropped the Copilot+ hardware branding from its latest laptops, though devices still meet the original 40+ TOPS edge‑AI requirements. Surface CVP Brett Ostrum said they are not called Copilot+ PCs even as AI-on-the-edge capabilities remain; some eligible devices (Nvidia RTX Spark N1X, Zenith) no longer carry the badge. The move follows weak Copilot+ sales and a shift toward NPUs in mainstream CPUs, as Microsoft trims Copilot branding in Windows 11 while expanding Copilot features in software and on discrete GPUs. RAM minimum relaxed to 8GB.
Bleeker Street promotes 'Musk,' a documentary by Alex Gibney about Elon Musk. It opens in select theaters Oct 9 (LA/NY) and nationwide Oct 16, followed by multiple Q&A screenings at venues like Angelika Film Center, AMC Burbank, and AMC Lincoln Square.
Nissan’s third-generation e-POWER is a 100% electric-drive hybrid using a purpose-built onboard gasoline engine to generate energy for a high-output electric motor, delivering an EV-like drive with gasoline energy security. The 5-in-1 modular package (motor, reducer, inverter, increaser, generator) boosts performance and quietness, aided by flat wire coils, a next-gen inverter with double-sided cooling, and silicon carbide semiconductors. Engines HR14DDe and ZR15DDTe use STARC combustion, high compression with EGR, turbocharging, and cold-spray valve seats. Nissan aims for ~50% engine efficiency and to reduce e-POWER costs toward ICE by 2026, sharing tech with EVs.
Eric Gullichsen, an early NVIDIA adviser, says he’s owed about a billion dollars in NVDA stock from a 1993 option grant of 25,000 shares. The grant was to vest over four quarters (one year), but NVIDIA later said it vested over four years. In 1996 he was told 15,625 shares had vested and he exercised them. Decades later he found the contract required one-year vesting, leaving 9,375 shares unvested—now worth 4.5 million shares after stock splits. He hired lawyers; NVIDIA argued the claim was time-barred. No settlement; he asks if others have similar vesting surprises and notes contractual lessons.
Could not summarize article.
New research identifies at least 485 chemicals in US pesticide products linked to breast cancer, including inert ingredients not thoroughly reviewed by the EPA. The peer‑reviewed Environmental Health Perspectives paper shows these chemicals occur in pesticides, lice treatments, lawn products, and flea/tick treatments. Regulators assess ingredients individually and ignore whole formulas and co-exposures; non-monotonic dose responses may mask risks. The Silent Spring Institute urges expanding California’s Prop 65; public exposure is widespread, with atrazine contaminating 25% of drinking water and 675,000 wells. Practical steps: buy organic where possible and use effective water filtration (activated carbon or reverse osmosis).
Panda is pitched as the world’s first personal AI computer that runs entirely on a device in your home—no data centers, no cloud, no ongoing subscriptions. The box contains the AI brain and 3 TB storage; all processing stays on-device. Costs $2,997 (deposit $100, refundable); ships December 2027 (first run: 1,000 units). The Panda app links to the device; supports up to 25 devices and works in Local (home/office) or Live (remote) modes. It offers chat, coding, deep research, image/video/3D creation, plus on-device CRM, project management, and accounting.
CoyoPedal is an ESP32-S3 NAM pedalboard with direct SD-card NAM loading and a Gea-compiled native frontend. It runs 48 kHz 23‑layer WaveNet NAM A2‑Full in real time, and provides a touchscreen UI written in TSX compiled to native C++, plus a browser-based WebAssembly version that mirrors the device’s UI and DSP. NAM files (.nam/.namb) load from SD cards or browser folders; supports OTA maintenance, Wi‑Fi/BLE, and remote config. Built with Gea/ESP-IDF; licensed GPL-3.0.
Using a genetic algorithm to evolve a self-parking car in the Evolution Simulator. The car has 8 sensors and two muscles (engine and steering) controlled by signals -1, 0, +1. Its brain is two linear polynomials of the 8 sensor inputs, with 18 coefficients encoded in 180 genome bits. GA steps: CREATE, SELECT, MATE, MUTATE; population ~1000; after ~40 generations, cars approach the parking spot. Brain coefficients decode from genome with 10-bit numbers. GA yields good genomes faster than brute force, but the brain is oversimplified and crashes aren’t penalized; simulator is heavy.
Zach Holman argues for forming an LLC early to move fast in startups. He built Calendearing quickly (four hours) but launch lagged while waiting for EINs and legal docs. An LLC separates personal and business finances, enables payments and banking, and provides liability protection, with Stripe Atlas and EU-INC simplifying setup. The precedent: GitHub started as Logical Awesome, LLC before becoming GitHub, Inc. The typical cost is about $500/year (plus $800 in California). The takeaway: have an LLC ready so you can iterate quickly when ideas hit.
Cartopolis is a networked, Rust/Bevy-based 3D virtual world and social map built from open public data (BAG/3DBAG, AHN, PDOK, OSM). It runs in the browser, on desktop, and on Android; it's free, open source, and self-hostable. Features include avatars, distance-local chat, proximity voice, world chat, and end-to-end encrypted private chats; link-to-view sharing; place and script objects; and an HTTP API for import/export. The project comprises crates for rendering, geodata, chats, and a shared-world server, plus data pipelines from map registers. Requires WebGPU.
David Álvarez Rosa explains how he self-hosted his site as a Tor hidden service (.onion). Tor provides end-to-end encryption without DNS or certificates; the onion address is derived from a private key. Steps: install Tor, configure HiddenServiceDir and HiddenServicePort, restart Tor to generate hostname; point nginx to 127.0.0.1:8080; no TLS/HTTP2 over Tor. Build processes: a static site is built twice with baseURL set to the onion URL to avoid clearnet links; the deploy pipeline syncs both clearnet and Tor roots automatically. Readers can visit the onion address to access the site over Tor.
Reorganizes a messy home lab into purpose-based shelves, inventories equipment and samples, and uses an AI (Claude) to build a QtPy app mapping the state space of possible experiments from his stock. Focus is on tabletop, home-feasible studies of complex phenomena (e.g., Rayleigh-Bernard convection), with protocols, setup-time, and difficulty ratings. The tool aims to maximise novelty while minimising cost and complexity, including literature-alignment metrics and user-rated interestingness. He’s bought better temperature probes and is excited about convection oscillations.
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Tim White recounts a DIY woodworking journey: a failed GCSE project sparks a new hobby as he and partner Jenny build a dog gate, a raised patio bed, alcove shelves, and a workbench. Guided by YouTube tutorials and affordable tools, he wrestles with miscuts, twisted sleepers, and heat, often rushing finishes. Despite flaws, each practical project boosts confidence, leaving them with functional pieces and a growing belief that, for him, “good enough” is a satisfying standard.
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