Front-page articles summarized hourly.
PART Initiative designs low-cost radio telescopes and open software for rural schools, with installation guides and RTL-SDR data workflows. Team members Narayan Dwan-Holland, Aliana He, Kevin Fang, Emma Enyu Zhang and Yanfu Fan (Narrabundah College, ACT) aim to build 25 telescopes under $500 capable of 21 cm hydrogen-line observations. The setup uses a commercial weather satellite dish, a conductive plastic base, and a signal chain with LNAs, filters, SDR, and a motor. They will distribute the units to rural schools to narrow the urban–rural STEM gap, with support from Science Mentors ACT.
Recreation of the 1956 IPL-I Logic Theorist prover by dmoews. The project implements the Logic Theory Machine, which aimed to prove theorems in propositional logic using Principia Mathematica axioms, via heuristic methods. It traces history from IPL-I pseudocode to IPL-II on JOHNNIAC (1956), with later IPL-V development. The Python-based tools include logic.py (IPL-I abstract-machine interpreter), run_logic.py (driver to test theorems), and analyze_output.py (extract proofs). The repo provides IPL-I source, transcription, axioms, theorems, tests, and references.
Halt and Catch Fire (HCF) is a humorous term for machine-code that halts a CPU. It predates the show, rooted in 1970s–80s hardware quirks. On the Motorola 6800, certain undocumented opcodes can make the program counter race through memory while the CPU stops behaving, requiring a reset to recover. The IBM System/360 anecdote about an illegal opcode causing overheating, and the Pentium F00F bug, are part of the lore. The idea circulated via Gerry Wheeler’s 1977 BYTE piece and other writings, becoming a catch-all for illegal/undocumented opcodes, hangs, or bugs, not just literal fires.
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Argues that TESCREAL—Transhumanism, Extropianism, Singularitarianism, Cosmism, Rationalism, Effective Altruism, Longtermism—drives Silicon Valley toward technofascism, claiming long-term future justifies sidelining democracy. It traces Peter Thiel’s funding of Curtis Yarvin (Mencius Moldbug) and other moves to a broader elite project against liberal norms. Marc Andreessen’s Techno-Optimist Manifesto and neoreactionary thinkers like Nick Land anchor a program favoring unelected governance. Real-world amplification in Brazil and India shows platforms shaping politics and eroding democratic accountability.
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Japan’s bear problem is outpacing a quirky defense: handcrafted Monster Wolf robot scarecrows. Each about $4,000 unit from Ohta has batteries, solar panels, sensors and speakers with 50+ clips; demand far exceeds supply, with two- to three-month waits. Bear encounters are rising as habitats shrink and populations age. In 2025, Japan culled a record number of bears and logged thousands of sightings. Plans for upgraded versions—wheels and handheld models—are in the works, but farmers still rely on these deterrents and government bear-safety tips.
Matthew Lamb argues Camus has been persistently misunderstood, worsened by posthumous translations and the habit of labeling him existentialist. The Complete Notebooks (Ryan Bloom, 2026) compiles three published volumes with a new consistent translation plus unpublished 1938–42 notes (Oran Notebook) and reading notes. Lamb shows Camus as an artist, not a philosopher, resisting “philosophical suicide” and political violence, reframing The Stranger and The Myth of Sisyphus as literary, not doctrinal, works. Four misreadings—Sartre, media hype, translation, silhouette—have distorted his reception; Bloom offers a corrective.
Bloomberg shows a robot-check warning after detecting unusual activity, asking users to verify they’re not a bot and to enable JavaScript and cookies. It directs reviewing Terms of Service and Cookie Policy, contacting support with the block reference ID a16fae2f-515d-11f1-a648-a3a88e0f02f8, and ends with a subscription pitch.
The piece argues that individuals will soon use clusters of computers—personal clusters—assembled from many machines and managed by a cluster OS (e.g., clusterdOS) to handle everyday compute and AI tasks. It defines a cluster and explains why it's needed, then outlines three adoption streams—workplace, tinkerer, gamer—that will propel personal clusters into mainstream, drawing parallels with the PC revolution, Linux, and modern gaming. The author promotes Aranya’s vision and its open-source, governance-forward approach to making personal clusters broadly accessible.
Rocksky is a decentralized music tracking and discovery platform built on AT Protocol. It offers scrobbling via a Last.fm-compatible API and ListenBrainz, with Recently Played timelines, real-time Stories, analytics, and user charts. Client integrations include Spotify, Jellyfin, Pano Scrobbler, and WebScrobbler; roadmap adds webhooks, personalized feeds, multi-source libraries, and cross-device playback. The repository provides prerequisites (Node.js v22+, Rust, Go, Docker), setup instructions (clone, install, env files), and commands to run migrations, start services, and run the dev server across api/web/feeds.
Kioxia's LC9 high-capacity QLC SSDs power Dell's 2U PowerEdge R7725xd, delivering 9.8 PB of all-flash storage from 40 LC9 E3.L NVMe drives (245.76 TB each). The box supports up to five 400 Gbps NICs for fast data egress. Dell and Kioxia say the density and power efficiency suit AI-scale workloads, with a rack potentially reaching ~196 PB using twenty nodes. Other vendors (Micron, SanDisk, SK hynix, Solidigm) offer 256 TB-class SSDs, while Scality expects Samsung nearline SSDs up to 1 PB in the roadmap.
Tesla Robotaxis have crashed at least twice since July 2025 while teleoperators remotely drove, both in Austin at low speeds with a safety monitor on board and no passengers. New, unredacted NHTSA records describe 17 crashes Tesla has logged since last year. In July 2025, a teleoperator took over from a stopped ADS, increased speed, turned left, and clipped a metal fence. In January 2026, the teleoperator drove straight from a stop and scraped a construction barricade at about 9 mph. Many crashes involve the Robotaxi hitting objects or other vehicles; some involve a dog or a chain. Musk says safety limits expansion.
An in-depth guide to HTML lists beyond basics. It covers five list types: ordered (ol), unordered (ul), description (dl), menu, and the control-centered datalist, plus how to build lists that include form controls (select/option, input+datalist). It explains when to use each: ol for meaningful order; dl for key-value metadata; menu for toolbars; ul for non-sequential items; datalist for suggestions. It shows how to group with optgroup, manage disabled items, and use start and reversed with ol, and notes cross-browser caveats with datalist and range. Emphasizes semantic, accessible markup.
Ancient Greeks and Romans used curse tablets (defixiones)—lead sheets folded, nailed, and buried in liminal spaces—to bind rivals in sports, law, and love. Dating roughly 500 B.C.–A.D. 500, thousands survive (1,500+ recovered), found in Athens, Rome, Bath and beyond. Texts invoked angels or gods and used analogies like “as this lead is cold, let him be cold” to activate the curse; deposition next to the restless dead or in tombs helped deliver the magic. Debates persist whether these were religion or magic, but they reflect a zero-sum worldview and belief in curses' power.
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DeepSeek-V4-Flash could bring LLM steering—altering outputs by tweaking activations during inference—into reach with local models. The post explains steering by extracting a concept from the model’s internal state and boosting related activations (a steering vector), or by training a model to map activation features to concepts. Steering offers direct behavioral controls (e.g., terseness) instead of prompts, potentially via per-model sliders. Practical use is limited by access to weights/activations and whether prompts or fine-tuning suffice. Open-source efforts like DwarfStar 4 may accelerate experimentation, with uncertain payoff.
pytorch-hessian-eigenthings provides efficient, scalable tools to compute Hessian eigendecompositions and other curvature matrices (GGN, EmpiricalFisher) for PyTorch models. It obtains top eigenvalues/eigenvectors with Lanczos or stochastic power iteration, while Hutch++ estimates traces and Stochastic Lanczos Quadrature estimates the spectral density. The library supports Hessian, GGN, and EmpiricalFisher operators, includes a finite-difference HVP option, per-block filtering, and optimizations for large models (e.g., TransformerLens, HuggingFace). Install with pip install hessian-eigenthings; alpha 1.0.0a1; MIT license; tutorials and docs available.
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