Front-page articles summarized hourly.
libwce is a minimal entropy layer for wavelet-based codecs, implemented as a single 500-line Rust file with no dependencies. It provides a Bit-Plane Count (BPC) style entropy coder for wavelet coefficients, separate from the transform, rate control, or metadata. After a wavelet transform yields coefficients, groups of four coefficients are encoded by their bit-plane count, then their magnitude bits and signs. It uses predictive residuals (RUNNING and ZERO) with Rice coding and an optional sparse-block flag, plus a one-pass cost search to pick the best per band. Three demos (image_compress, mode_shootout, stream_surgery) show end-to-end use. Not a full codec.
Could not summarize article.
Three prototype implementations (Ruby, Java, TypeScript) for a Claude Cowork DOCX plugin show Java best handles ZIP/XML natively, with mature libraries and typing; porting to a desktop app took ~3 days and yielded an ~88MB binary. TypeScript was chosen for future MCPB support, using Bun for a single-executable, though PostHog source maps are problematic and final sizes are ~70MB Mac / ~120MB Windows. Ruby struggled due to lack of typing and tooling issues. Codex lags Claude Desktop; Java remains the author's winner, but TypeScript is preferred for MCPB prospects.
AMD is changing Vivado licensing to a tiered model: Basic remains free but Windows-only; Linux support moves to Core and higher tiers, costing about $1.2k–$1.8k per year. This pressures Linux users—students, researchers, hobbyists—into paying or sticking with an aging, unsupported Linux version. AMD's forum responses offered little clarity, prompting criticism that the company betrays the Linux community and mirrors bait-and-switch tactics seen elsewhere.
The post catalogs whimsical OEIS sequences: XKCD’s joke about submissions and Hugo Pfoertner’s A316600 (widths in Helvetica); the later “Arial” note; A366192, the complement of Cantor’s A352911 (non-reduced fractions, Peter Luschny’s “Peter’s List”); the “screaming sequence” A325911; James Bond primes A386240; random tables like A259233 and A357907; a “nonsense sequence”; devil/beast-themed entries (A115983 with 666-digit primes, A186086, A131645 with 666 substrings, A138563). Neil Sloane’s whimsy remark and the common “dumb” keyword; the piece highlights OEIS’s playful side.
Could not summarize article.
MIT researchers show that off-the-shelf smartphone-grade lidar (<$100) can see around corners, not producing full images but sparse 3D shapes and motion of hidden objects. Using a portable 100-pixel lidar (emitter + single-photon detector) and bursts of frames, they combine measurements akin to synthetic aperture techniques to reconstruct static hidden objects and track known-shape motions. The approach could aid autonomous vehicles and robots, and democratizes non-line-of-sight sensing, though it's not full photographic imagery and relies on relatively stable scenes. Published in Nature (May 20, 2026).
Rapira is a TypeScript/Bun-based interpreter for the Rapira language, a Soviet educational language from the Agat system. The repo contains the interpreter core (lexer, parser, tree-walking evaluator) faithful to the 1985 dialect (Russian keywords, case-insensitive IDs, block comments, ; separators, three data types, three-arrow parameter scheme, trailing result), a CLI and multi-line REPL, a web playground, and tests. Build with bun; run examples and generate SVG from turtle graphics. Documentation includes SPEC.md and RAPIRA.md; live demo at the GitHub Pages site.
Biff is a Rust-based command-line tool for datetime arithmetic, parsing, and formatting. It offers commands like biff time fmt, add, span, seq, in/untag, and a tag feature to extract datetimes from arbitrary data into JSON lines. Built atop the Jiff library and ICU4X for localization, it aims to provide a succinct, flexible alternative to date-like tools (not POSIX-compatible). Install via cargo install biff-datetime-cli or use prebuilt binaries; can build with locale support; tested with cargo and Insta; dual-licensed MIT/UNLICENSE.
AI datacenters shift from north-south to east-west traffic, making synchronized training and Job Completion Time (JCT) the bottleneck. RoCEv2 with PFC lowers loss but causes head-of-line blocking; InfiniBand with rail-optimized topologies boosts GPU utilization, while ECMP struggles with large elephant flows. Ultra Ethernet proposes packet spraying and VOQ to reduce congestion. Almartis envisions GPU-free AI datacenters: a 1-tier, rail-only, non-blocking full-mesh Ethernet architecture with associative memory, up to 216 Blackwell Ultra GPUs per tier, prioritizing retrieval latency over throughput.
Researchers from IISc and international partners report a CMOS-based neuromorphic Ising machine using a Fowler-Nordheim annealer to solve hard combinatorial problems at scale, with asymptotic convergence to the optimal solution. The neuromorphic autoencoder navigates complex energy landscapes faster than conventional chips, tackling tasks like protein folding. Led by Shantanu Chakrabarty (WashU) with IISc’s Chetan Thakur, the work involves Heidelberg, Johns Hopkins, and UC Santa Cruz, and is published in Nature Communications (2026).
Leo’s Moon Ship suffered a drift when switching animations: a single global scale/offset made different canvases yield inconsistent character heights, so Leo’s feet appeared off the ground. The fix: compute per-animation metrics at load. For each frame, detect the visual feet line by scanning the alpha bbox from the bottom, average across frames, and pick a reference (idle_right). Then set anim_scale and anim_offset_y per animation so every animation renders to the same height and feet align to ground; apply on animation changes. The shadow pins to the feet too. Result: stable, correct alignment.
Alibaba's Qwen3.7-Max autonomously ran a kernel optimization task on unfamiliar ZW-M890 PPUs for 35 hours, making 1,158 tool calls and continually writing, compiling, profiling, and redesigning the kernel to achieve ~10x speedup over the reference. It outpaced GLM 5.1 (7.3x), Kimi K2.6 (5x), and DeepSeek V4 Pro (3.3x). The effort illustrates 'environment scaling'—training across diverse tasks/tools to boost generalization beyond benchmarks. Limitations: proprietary API with no open weights or self-hosting; self-reported results; not readily deployable.
Vadim Drobinin mined 20 years of chats (1.2M messages) to build a structured vault of his life, turning messy data into a personal CRM. He pulled archives from ICQ/IRC/DC++ through VK, Twitter, Facebook, Telegram, and Instagram, then cleaned noise (roughly 41%) and resolved who’s who across platforms. An LLM-based pipeline produced daily notes, events, sentiment, and profiles, while a deterministic script ingested JSON into an provenance-tracked SQLite store. Findings show relationships evolve in bandwidth and vocabulary: ~13% of conversations are transactional, with changing endearment and response dynamics. Not a bad friend after all; memories and birthdays tracked.
Could not summarize article.
Access denied to a CNBC article about a Google employee and Polymarket insider trading; you do not have permission to view this page (Reference #18.885ed617.1779939090.3b719f8e).
Three problems block image pasting from Windows to Claude Code in WSL inside Windows Terminal: (1) WSLg only syncs images to Linux as BMP (BI_BITFIELDS), unreadable by Claude Code; (2) even when you convert to PNG, WSLg overwrites the Linux clipboard with BMP shortly after; (3) Windows Terminal eats Ctrl+V before Claude Code can receive it. The fix is a three-part bridge: clip-listener.exe converts Windows images to PNG; wsl-clip-bridge pushes the PNG to the Linux clipboard and re-asserts after overwrite; Alt+V bound to Claude Code’s image paste to bypass Terminal. Install from the repo and enable the Alt+V binding.
Made by Johno Whitaker using FastHTML