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So is a strict subset of Go that translates to C11. It outputs readable C from Go code with zero runtime, no GC or hidden allocations, and native C interop (C from So and So from C) without CGO. It keeps Go basics—structs, methods, interfaces, slices, maps, multiple returns, defer—with stack allocation by default and heap only via standard library. Generics are limited; concurrency is provided by the std library. Aimed at Go developers needing system-level control or C programmers who like Go’s tooling. Status: active development (v0.3); 0.2 added networking, WebAssembly, freestanding mode; 0.3 to add concurrency.
clx is a cross-platform ahead-of-time Lua compiler and runtime (C++20) that emits standalone native executables from Lua sources. Its goal is AOT compilation, fast startup, predictable performance, and seamless integration with existing C/C++ toolchains, with aggressive optimizations and small binaries (Lua 5.5 compatible). It avoids a bytecode interpreter, supports a value-oriented runtime, 16-byte tagged values, inline small strings, and fast table access. It ships a C++ API, examples (Pong, Mandelbrot), and beta status; supports Linux/macOS/Windows; uses CMake or build.sh, and MIT license.
The Little Book of Reinforcement Learning is a GitHub repository hosting a brief intro to RL, with the book itself and supplementary material. It includes PyTorch implementations of core RL algorithms (from Monte Carlo to PPO) in algos/, plus detailed explanations and proofs of dynamic programming in supplementary/. It's a 2021 document, with current version V1 (June 2026), licensed CC BY-SA 4.0 non-commercial.
Fortinet FortiSandbox CVE-2026-25089 is an unauthenticated OS command injection in the web UI, CVSS 9.8, actively exploited since mid-June 2026. Affected: 4.2.x, 4.4.0–4.4.8, 5.0.0–5.0.5; fixed: 4.4.9+, 5.0.6+ (Cloud/PaaS 5.0.6+). CISA KEV dated July 16; third FortiSandbox vulnerability exploited in 2026; CVEs 39808 and 39813 exploited earlier. Remediation: patch immediately; upgrade to 4.4.9+ or 5.0.6+; isolate management interface; restrict to trusted networks; patch CVEs 39808/39813; audit integrations; monitor logs. Locate exposed instances by port scan (443/80/22/514), HTTP headers, TLS certs, DNS patterns (sandbox.*, fortisandbox.*).
ReasonGate is an explainable security gate for LLM apps that blocks prompt injection while providing auditable reasons for each decision. It analyzes the user prompt, retrieved context, and model output through layers: normalization, injection/jailbreak detection, indirect injection, leakage canaries, and a policy engine that fuses signals to decide block or allow. It can accumulate risk across turns and emits a structured audit record with a unique ID, timestamp, action, score, and evidence. Core is pure Python; enterprise add-on enables ML detectors. Pip install reasongate. Apache-2.0.
Mojibake is a lightweight, self-contained Unicode library for C11/C++17 with MIT license. It provides a comprehensive API for text processing per Unicode 17: normalization (NFC/NFD/NFKC/NFKD), case folding and various case conversions, encoding detection/conversion among UTF-8/UTF-16/UTF-32, text analysis (properties, script, blocks), segmentation (grapheme, words, lines, sentences), bidirectional text, emoji, display width, Hangul handling, and utilities. It is designed to have zero dependencies, ships as mojibake.c/h, requires no installation, and includes a WASM/JS API and examples.
Yale researchers helped describe a newly identified Colobus monkey from the Congo Basin, Colobus congoensis, commonly called Likweli, living in high forest canopies of Lomami National Park in the DRC. Based on morphology, genetics, and vocalizations, the species is distinct from the sister species Colobus satanas. It is rare, cryptic, with an estimated limited range and small groups (~6), recorded across ~1,700 sq km with only eight villages aware of it. Genetic dating suggests a deep split from C. satanas (~4.7–5.8 million years). Due to habitat loss and hunting, the species is recommended endangered. Conservation emphasis on Lomami NP.
FIFA World Cup 2026: Data Portraits present an entirely data-driven impression of matches, reconstructed from roughly 1,500 events per game—each touch, pass, shot, and card. Created by Alexander Bogachev, with data from FotMob and WhoScored (Opta).
Libretto's Playwright PR Agents automatically fix failing Playwright scripts by inspecting the live page on failure and opening a GitHub pull request with a proposed code fix. It integrates at the failure boundary without changing fixtures, retries, or deployment, and can run with any browser provider. You bring your own LLM key and run locally or in your own infra; Libretto does not charge for the PR agent. The agent diagnoses the failure and suggests fixes for future runs while your current error handling remains. It currently supports Playwright (not Selenium/Puppeteer) and is MIT-licensed open source.
Argues that any large writing sample leaks enough information to identify a person among the global population. Using an information-theory framework, marks of demographics (17.2 bits), personality (39 bits), and writing style (50 bits) total about 106 bits of information in a typical 4500-word sample. Since about 29 bits suffice to distinguish one identity among ~490 million people, pseudonymity can be broken after roughly 1,071 words. LLMs can approach the information-theoretic limit for authorship identification; countermeasures exist but raise other privacy/social costs. The piece also discusses skeptical appendix and broader privacy implications.
Abstracting effects with continuations proposes using continuations to generalize computations (like Result and Promise) and separate business logic from effects. A Continuation(t, a) represents a value a with a continuation to t. A generic task(fetch) uses a fetch: String -> Continuation(t, String) to compute List(Int) from a set of keys. Runners provide the final callback to resume the task: simple runner (sync, infallible), fallible runner (returns Result), async runner (Promise). The same business logic works regardless of fetch, enabling reuse across direct, fallible, and asynchronous data sources.
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Kimi K3 is the first open 3T-class AI model at 2.8T parameters with a 1-million-token context, designed for frontier tasks in long-horizon coding, knowledge work, and reasoning, including vision. Built on Kimi Delta Attention and Attention Residuals, it uses Stable LatentMoE (16 of 896 experts) and quantization-aware training to scale efficiently (~2.5×-improvement vs K2). It supports long sessions, visual reasoning, and research, with coding, GPU kernel optimization, and interactive visuals. Availability: Kimi.com, Kimi Work, Kimi Code, Kimi API; weights by July 27, 2026. Pricing: $0.30/MTok cache-hit input, $3.00/MTok cache-miss input, $15.00/MTok output.
AttoChess is a 278-byte DOS .COM chess program for 16-bit x86 that boots in an emulated DOS, draws the board, accepts a four-character move, and replies after a four-ply minimax search. A size-optimized descendant of LeanChess, it preserves the 0x88 board and recursive search but eliminates the render buffer, BIOS mode-setting, and complex input, reusing a single routine for move generation and search. Built with MASM/TASM, it’s MIT-licensed and reproducible; it runs as White vs Black, with no castling, en passant, or promotion.
Luminate’s 2026 Midyear Report shows CDs growing 16% in H1 2026 to 16.3 million units, outpacing vinyl’s 2.4% rise. Excluding BTS/K‑pop, CDs still rose 6.7% YoY. US physical album sales (LPs, CDs, cassettes) climbed 7.8% to 38.2 million. Gen Z now largely prefers music from the 1990s or earlier (60%). Growth reflects nostalgia, streaming discovery, and owning physical copies; indie stores still lead, but Target/Walmart gained near 30% of the market thanks to deluxe K‑pop editions. CDs are increasingly seen as collectibles.
Two frontier models, Claude Fable 5 and GPT-5.6 Sol, independently directed music-video productions for Uptown Funk using a shared budget and tools via an open-source harness. They ran four trials at $25 and $100, logging every tool call and ffmpeg edit. Most runs produced text-to-video outputs; GPT-5.6 Sol at $25 used image-to-video; $100 run mixed multiple video models. Total spend reflected generation costs plus token costs. Observed issues: weak character consistency, literal lyric interpretation, tempo mismatches; editors varied, with GPT-5.6 Sol $25 most inventive. Open-source repo provided; overall budgets limited; room for improvement.
Kimi K3 is a proprietary multimodal model released July 2026 by Kimi. It scores 57 on the Artificial Analysis Intelligence Index, placing it well above average, but it is relatively slow (62 tokens/s) and expensive ($3.00/1M input tokens, $15.00/1M output tokens; blended rate ~$2.31/1M tokens). It has a 1M-token context window and 2.8 trillion parameters. It outputs text from text and image inputs, is very verbose (130M output tokens on the index), and is available via a single API provider.
BONEBOX-01 is a bare-metal x86 real‑mode OS built from its own boot sector. It runs without Linux/Posix/LibC/ELF, uses a single arena owned by one program at a time, and employs a read-only BFS1 filesystem. The runtime loads a resident nucleus, a transient shell, and native BEX1 programs (e.g., HELLO.BEX, ECHO.BEX, SELFTEST.BEX). It boots via legacy BIOS, provides byte-accurate ownership and verification, and ships a verified 57‑sector image (29,184 bytes) with a published SHA-256. Documentation and release assets are available in the repository.
LM Studio Bionic is an AI agent for open models that can run locally or in the cloud on frontier open models via LM Studio Secure Cloud. It targets real work—coding and document tasks—within a sandboxed workspace. Highlights: zero data retention and no training on your data; offline voice transcription and a voice keyboard that works from any app; download and run local models (LM Studio runtime) or use cloud models; support for open models like GLM 5.2 and Kimi K2.7 Code; inline code diffs and agentic search; doc and deck tooling with web search and checkpoints.
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