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Snowboard Kids 2 is 100% Decompiled

Snowboard Kids 2 is 100% decompiled: every function now has a C implementation with matching original assembly; some __asm__ hacks remain and many names need cleanup, but it’s readable and enables recompilation, asset extraction, modding, and studying the N64 game. The two-year project credits the N64 decomp community and AI coding agents (Codex, Claude, GLM). Next steps: release a high-quality recompilation, fix bugs, clean up structures, and continue decompiling Snowboard Kids 1, with a possible “Super Snowboard Kids” 3 concept. Read the README for tasks and follow Bluesky updates.

Finding Miscompiles for Fun, Not Profit

Justin Lebar describes a high-cost, high-yield bug-hunting spree using AI-assisted fuzzing and code-inspection to find miscompiles in LLVM, NVIDIA ptxas, and AMDGPU backends. Starting with a hand-written fuzzer for LLVM, he later used a fuzzer and subagents (Claude, Codex) to generate many inputs, finding 40 miscompiles in three days (80 later) on ptxas, and similarly for AMDGPU/x86, with a frightening atomic-store bug risk. He spent over $10k in tokens; results show automated agents can uncover bugs rapidly, though with varying severity, and raise budgets and accessibility concerns.

Show HN: Open-source private home security camera system (end-to-end encryption)

Secluso/core is a privacy-preserving Raspberry Pi home security camera with end-to-end encrypted remote access, avoiding cloud storage. A 5-minute setup via Secluso Deploy provisions the Pi, camera, and relay. It’s open source with fully reproducible releases for self-hosting and code inspection. Hardware: Raspberry Pi Zero 2W and a compatible camera; pairing via a mobile app (iOS/Android). Emphasizes cryptography, forward secrecy, and an untrusted-relay design, licensed GPL-3.0.

MCP Is Dead

Chloe Kim and Quandri argue MCP (Model Context Protocol) is context-hungry, unreliable, and overlaps with CLI/API. Their measurements show MCP tool definitions consume about 10% of a Claude 200k-token context (e.g., 42 tools totaling ~84k tokens) and cause init failures and mid-session crashes. Compared with CLI calls, MCP can use ~65x more tokens for Linear lookups. They propose alternatives: a CLI-first strategy (CLI → API) and a Skills pattern that loads instructions only when needed. Quandri uses Bash+CLI, Skills, and MCP where appropriate; overall, Skills+CLI reduce context and tokens, making MCP less attractive for most workflows.

Free full BGP feed. IPv4 and IPv6

Extends the lab BGP feed to IPv6, offering a full European BGP feed. Configure your router with ASN 65001 and remote-as 57355 to 85.232.240.179 (IPv4) or 2001:1A68:2C:2::179 (IPv6), using EBGP multihop and timers 3600/7200. If you can’t use 65001, use local-as 65001. Don’t advertise prefixes to avoid burden. The post includes sample Cisco IOS/IOS-XE and IOS XR configs and notes IPv6 data as the main difference from the prior IPv4-only session.

You can just say it

Argues against common defenses of human value in the AI era, which claim humans are irreplaceable because AI can’t match certain roles or stylistic nuances. Cautions this rests on a fragile, potentially shrinking AI–human gap. Quality is intent plus form: humans iteratively shape intent into form, while AI can generate substantial form with little intent. A well‑developed prompt may carry intent, but AI risks producing “slop.” Therefore human dignity should not hinge on current AI limits.

A Trillion Characters

Trillion Characters is a realtime collaborative canvas built with Datastar where users type by placing cursors and see others’ cursors. It uses no client-side logic beyond Datastar; server-side code handles interactions and updates are streamed to clients as server-rendered HTML via SSE, turning the browser into a rendering viewport. The system uses CQRS, chunk-based rendering, and stores characters in 45x45 LMDB chunks with LZ4 compression and Z-order Morton keys, with ACID reads/writes. It runs on a €5.52 VPS in Germany by Elias de Jong.

Print with dozens of colors: Our new open-source ColorMix for PrusaSlicer

Prusa reveals ColorMix, an open-source, MIT-licensed color-mixing model that lets multi-material FDM prints use dozens of tones by interleaving five filaments (CMYKW) and applying halftone-like layer mixing. Integrated into PrusaSlicer and EasyPrint with OpenPrintTag data, it aims to make color selection feel like painting. The model predicts color from filament ratios and layer interleaving, applies brightness/saturation corrections, and works with toolchanger or MMU setups. It’s supported by test cards, a ColorMix suite (Playground, Harness, Gatherer), and a community data effort; initial testing focused on PLA, with broader material support planned.

Microsoft 0-day feud escalates as researcher threatens another exploit dump

Disgruntled bug hunter Nightmare Eclipse (Chaotic Eclipse) escalates Microsoft Windows 0-day saga by threatening a July 14 'bone-shattering' drop after releasing six 0-days: RedSun, UnDefend, BlueHammer, YellowKey (CVE-2026-45585), GreenPlasma, MiniPlasma. Three are weaponized with working PoCs and public but unofficial disclosures circumvented official channels; Microsoft says no reports were filed through its process and warns of legal action against uncoordinated disclosures. Industry voices criticize MS's handling; patch windows shrinking; debate over coordinated vulnerability disclosure and vendor-researcher tensions; case seen as a David-vs-Goliath dynamic harming customers.

Notable Properties of Specific Numbers

Notable Properties of Specific Numbers is a browsable catalog of large numbers and constants across math, physics and puzzles, giving approximate values and context for each entry: chess and Go counts (Shannon number, tromp estimates), Rubik’s Cube permutations (3×3, 4×4, Megaminx, Gigaminx), primes and near-misses to Fermat’s Last Theorem, Eddington’s number of protons/electrons, universe particle counts and Planck-unit scales, googol/googolplex, power towers and other hyper-notation (including Conway–Wechsler naming), and related references.

Why I collect DLES

DLES.gg is a catalog and community for Daily Logic Exercises (DLEs)—free, browser-based daily games. Founder Peter Oh states two goals: help daily-game players discover new DLEs and help creators launch Wordle-like titles. Born from Rotaboxes and a habit of playing multiple DLEs daily, the site now curates 839 games (adding a few weekly), tests each manually, and excludes non-daily, non-browser, paid, or poorly made titles. Readers can submit and rate games, join rituals to boost visibility, and contact Peter for features or support with donations.

Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA

tiny-vllm is a high-performance LLM inference engine in C++/CUDA, a smaller sibling of vLLM. The repo offers both a runnable inference server and an accompanying learning course. It explains loading a trained model from Safetensors (Llama 3.2 1B Instruct), architecture and data flows, and GPU memory usage (BF16), with step-by-step CUDA kernel examples for embeddings gathering, RMSNorm, RoPE, KV cache, and attention using cuBLAS (GemmEx). It discusses prefill vs decode, static/continuous batching, online softmax, paged KV cache, residuals, and other optimizations.

The California State Assembly Has Passed the 'Protect Our Games Act'

California Assembly passes AB 1921, the "Protect Our Games Act," advancing the "Stop Killing Games" movement. The bill would require digital game publishers to keep access after service termination, with at least 60 days’ notice for games released or resold after Jan 1, 2027, and to offer a playable alternative or refunds when needed. It excludes subscription services, free-to-play, and offline-only games, and bans selling unusable titles. The ESA opposes; preservation groups argue for cultural heritage. Not law yet—needs Senate approval and the governor’s signature—but symbolically significant for U.S. gaming policy.

CVE-Bench: testing LLM agents on real-world vulnerability patches

CVE-Bench evaluated five frontier models (gpt-5.4-mini, gpt-5.4-nano, gpt-5.5, laguna-m.1, laguna-xs.2) on 20 real CVEs across three prompts: advisory (full text), diagnose, and locate. No model reliably fixed vulnerabilities; best was gpt-5.5 at 50% overall, 60% advisory. All cross-family OpenAI vs Poolside comparisons significant (p ≤ 0.04); within-family not. Locate (code-only) is the hardest; performance drops for all models. Token cost differs by ~4x; Laguna models are more expensive. Major failure modes: wrong search drift, budget exhaustion, incomplete patches. Conclusion: current frontier models struggle; locate prompts may be the key, cost-efficient OpenAI models preferable.

Shift will clean homes for free to train future robots

Shift, a London-based AI startup, offers free home cleaning in exchange for recording cleaners to train robots. A "magic hat" camera records work from the cleaner’s POV; Shift claims privacy protections—blurring sensitive details, vetting workers who aren’t employees, and allowing declined tasks. The data funds free cleans; the offer runs in New York first, with a soon rollout to SF, London, Zurich, and Munich for a limited time. Shift already pays thousands to record tasks across 15 countries and envisions expanding to more chores.

On Rendering Diffs

CodeView is a virtualization-first diff renderer in Diffs that aims to render large diffs efficiently. It shifts from per-file rendering to a unified review surface, addressing rendering, processing, and memory together. The Inverse Sticky Technique preserves native scrolling without blanking; a windowing approach uses cached line checkpoints and binary search for layout. They detach parsed strings to avoid keeping giant inputs, pool DOM wrappers, and share a single options state to cut updates. Syntax highlighting is deferred to workers with an LRU cache. Linux v6→v7 memory dropped from ~2.4GB to 1.15GB; parse time fell ~80%.

AI will be used to estimate age of asylum seekers from next year

Britain will deploy an AI facial-age estimation tool at the border next year to spot adult migrants posing as children. A £322,000, three-year contract was awarded to Akhter Computers Ltd to develop and test the system, with live trials at Dover’s Western Jet Foil before a mid-2027 rollout. The Home Office says it will aid officers in uncertain-age cases. Critics, including Human Rights Watch and BASW, call it unproven and risky for safeguarding. An inspector warned some age assessments are wrong; in 2025-26, 43% of those claimed as children were adults.

To see to it that the forces of Napoleon are driven out of Spain (1809)

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Liquid AI reveals 8B-A1B MoE trained on 38T

LFM2.5-8B-A1B is an edge, on-device Mixture-of-Experts model designed for fast, private tool-using assistants on consumer hardware. It extends LFM2-8B-A1B with a 128K context window, 38T pretraining tokens, and a doubled 128K vocabulary for better non-Latin languages. It adds a reasoning-only mode that outputs a chain-of-thought, improves accuracy and reduces doom loops, and shows strong benchmarks across knowledge, math, and agentic tasks. It features day-one support across inference stacks (llama.cpp, MLX, vLLM, SGLang, ONNX) and runs on laptops and even phones, with LocalCowork demo and a private on-device agent future.

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