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  1. 1

    ChatGPT now knows what you do on other websites via ad collector

    OpenAI’s ChatGPT sets a cross‑site cookie (__obi) that advertisers’ ad‑pixel scripts automatically send back to OpenAI, linking browsing activity on third‑party sites to a user’s ChatGPT account. The author reverse‑engineered the token exchange, captured traffic from hundreds of pixels, and quantified the data collected (emails, phone numbers, locations, page paths). The mechanism works for logge…

    Hacker News front pagebuchodi.com5 minHN751388lobste.rs59
  2. 2

    What Sun got wrong

    The author reflects on Sun Microsystems, arguing that despite strong technology, Sun failed because it grew bored with the mechanics of running a business—illustrated by a 2005 startup’s experience where Sun’s sales response was slow and mismatched while Dell’s personal rep closed the deal quickly. The story warns engineers and founders that operational discipline is as critical as technical visi…

    Lobstersdtrace.org3 minHN525311lobste.rs104
  3. 3
    1 points

    Saving another 100TB of RAM with math (and Rust)

    Cloudflare reduced the memory footprint of its Pingora Backend Router by re‑examining the consistent‑hashing implementation in the pingora‑ketama library. By increasing the number of virtual hash points per server from the default 1 to the standard 160 (and applying weighted hashing based on disk capacity), they cut the per‑node overhead enough to reclaim >100 TB of RAM across the fleet. The post…

    Hacker News front pagecloudflare.com13 minHN478120lobste.rs33
  4. 4

    Introducing System One Models and Jev

    TypeSafe AI announced its first “System One” model, Jev, a non‑text‑generating LLM that outputs type‑safe structured decisions with calibrated probabilities. It claims 40‑200× lower latency (70‑500 ms) and 100‑500× lower cost versus frontier LLMs, no hallucinations, and parallel sampling. The post includes a side‑by‑side demo, a custom “workflow” benchmark comparing Jev to GPT‑5.6/6 and other mod…

    Hacker News front pagetypesafe.ai9 minHN1824480lobste.rs26
  5. 5

    Everybody's Lost Their Minds

    The author argues that the AI hype wave is draining engineering resources without improving security, and that basic practices like inventory and automated patching are far more valuable. He warns that over‑reliance on AI‑generated code erodes understanding and makes debugging harder.

    Lobstersnetmeister.org6 minHN368338lobste.rs193
  6. 6

    Laya the open source version of Jev

    Laya is an open‑source, bidirectional‑encoder model family for ultra‑fast, calibrated decision‑making (choice, score, boolean) over structured schemas. It runs 6‑8× faster than the closed‑source Jev, supports 100+ languages via three checkpoints, and includes a lightweight router that selects the appropriate checkpoint before inference. Benchmarks show higher accuracy, far better calibration (ECE…

    Hacker News front pageconvaiinnovations.com8 minreleaseHN1326313lobste.rs2
  7. 7

    I don't like passkeys

    Passkeys improve phishing resistance but introduce higher lock‑out risk for individuals. Hardware keys have low per‑device account limits and no backup, while synced passkeys tie you to Apple/Google and can be lost if the provider bans you. Third‑party managers are still immature. For most users, a strong password + TOTP combo remains safer than current passkey ecosystems.

    Hacker News front pagehawksley.dev3 minHN832803lobste.rs70
  8. 8

    Why I'm still bearish on LLMs after Navier-Stokes

    The author argues that despite headline successes (e.g., Navier‑Stokes proof, security exploits), current frontier LLMs still require heavy human oversight and rigorous specifications that are costly to produce. Reward‑hacking, narrow generalization, and the need for domain‑expert spec writing limit autonomous deployment to only a few niche domains (high‑failure‑cost work, tightly defined tasks,…

    Hacker News front pagedank.systems5 minHN487644lobste.rs49
  9. 10

    I expected better from Google

    The authors of the open‑source project mobile‑use discovered that Google’s Artemis repository contains large blocks of identical Python code, examples, and even the same agent name without any attribution. They document the exact file diffs, the removal of their names via a force‑push, and the omission of their benchmark results from a public leaderboard. The post argues that this violates Apache…

    Lobstersminitap.ai6 minHN18032lobste.rs87
  10. 12

    I Don't Like LLMs

    Martin Fowler shares a personal, skeptical take on LLMs, noting their usefulness but criticizing their hallucinations, cultural bias, and the discomfort of interacting with them as if they were human.

    Lobstersmartinfowler.com2 minHN238271lobste.rs95
  11. 13

    Small Programming Tricks

    A grab‑bag of command‑line, SQL, and JavaScript shortcuts – from fuzzy‑searching shell history with fzf to using `SELECT` without a `FROM` in Postgres, `git log -S`, and keeping an HTTPS agent alive in Node. The author argues that such bite‑size tips boost daily productivity and suggests sharing one per day on a team channel.

    Lobsterswill-keleher.com3 minHN661289lobste.rs62
  12. 14

    Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint

    Ternary Bonsai 2 27B is a new multimodal LLM based on Qwen3.8 27B, utilizing ternary weights for a 5.9GB model footprint. It achieves over 9x compression while retaining 98.2% of the full-precision model's aggregate benchmark performance across various tasks. This enables highly capable 27B-class models to run efficiently on local devices.

    Hacker News front pageprismml.com5 minreleaseHN579198lobste.rs12
  13. 16

    DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

    DeepSeek‑V4.1‑Flash is a 552B‑parameter multimodal Mixture‑of‑Experts LLM that supports up to 1 M‑token contexts while slashing KV‑cache memory to 890 bytes/token (≈¼ of its predecessor) via cross‑layer reuse (CSA2) and FP4 quantisation, plus a SWA‑Bounded Replay scheme that cuts persistent cache to 1/8. The Causal Encoder‑Decoder design halves prefill compute (8B vs 16B active parameters) and th…

    Hugging Face Daily Papersarxiv.org3 minpaperHN12710
  14. 18

    You Know GDPR Is Good Based on Who Hates It

    The author argues that the strong backlash against GDPR is evidence it’s working: it forces consent, reshapes global data‑privacy standards (the “Brussels Effect”), and has spurred legislation worldwide—including in Japan—while the US remains reluctant to regulate its own tech giants.

    Lobstersmatduggan.com13 minHN163180lobste.rs114
  15. 27

    Benchmarking Wild vs Mold

    Reproduces Mold’s linker benchmarks on a 16‑core Ryzen, shows that configuration (filesystem, delete‑output, fork) explains most of the Wild vs Mold speed gap, and notes recent Mold releases and upcoming Wild tweaks that close the gap.

    Lobstersgithub.io4 minHN461lobste.rs52
  16. 28

    Introducing GNOME 51

    GNOME 51 ("A Coruña") is a release‑focused update that adds smoother frame scheduling, screen‑capture speedups, auto‑rotate, touch‑pad auto‑disable, SSH‑socket remote login, offline maps, smart‑card remote desktop, visual signatures in Papers, and a raft of accessibility tweaks. Most changes are UI‑level refinements; there’s no deep technical exposition or performance data.

    Lobstersgnome.org9 minreleaseHN4715lobste.rs103
  17. 30

    Swift 6.4 Released

    Swift 6.4 adds Swift Build as the default SPM build system, stabilizes Subprocess (1.0), expands C++/Java interop, boosts WebAssembly performance (up to 40×), introduces new language features (optional some/any, @diagnose, module selectors, async defer, cancellation shields), adds non‑copyable array types, SBOM generation, and broader IDE support.

    Lobstersswift.org7 minreleaseHN12663lobste.rs23