AI Summarized Hacker News

Front-page articles summarized hourly.

What mathematicians should know about the Lean Theorem Prover: reliability & AI

Terence Tao (guest by Thomas Hales) surveys reliability and AI in Lean, arguing formalization offers trustworthy foundations for math. It covers Lean's ecosystem (Lean language + mathlib), kernel vs. proof verification, and autoformalization advances in 2025–2026, including quasi-autoformalization of the prime number theorem, 130k lines of formal topology, 8D/24D sphere packing, Fermat’s Last Theorem, and Navier–Stokes; MAP aims to formalize all known math. It notes the Summer of Soundness Bugs in 2026, resolved after cross-checks; mentions Con-Leche with a formal consistency proof. It discusses open questions in Lean’s type theory and urges more human oversight of AI.

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The role of cat eye narrowing movements in cat–human communication (2020)

Two experiments show that cats use eye-narrowing movements in response to slow blink cues from humans, suggesting positive emotional communication. In Experiment 1, cats increased eye narrowing and half-blinks when owners performed slow blink sequences versus no interaction. In Experiment 2, cats produced more half-blinks and eye narrowing to a slow-blink display by an unfamiliar experimenter than to a neutral face, and were more likely to approach the hand after slow blinking. Overall, slow blink sequences may signal positive affect and support cat–human bonding and welfare; both familiar and unfamiliar people can elicit them.

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Rewriting Prime Agent in Rust

Prime Agent was rewritten in Rust, delivering faster, cleaner, more reliable multi-agent orchestration. A swarm of 2,000+ agents ran across 10,000+ sandboxes and 200B tokens, achieving parity with the TypeScript version via automated TUI, harness, protocol, and feature parity checks. The codebase was modularized into nine crates, with per-session isolation and a shared protocol. An orchestrated Planner/Implementer/Reviewer/Verifier workflow enabled autonomous rewrite. Hillclimbing improvements yielded: first paint ~30x faster; cold/warm starts 2–3x faster; memory and install size substantially smaller; view latency ~6x faster. Windows support and Homebrew install coming; open source.

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In "Musk," Alex Gibney Punctures Elon's Self-Mythology

Sheelah Kolhatkar’s New Yorker review of Alex Gibney’s four-hour documentary Musk contends the film delivers a damning portrait of Elon Musk, exposing a self-promoter who built a public myth of power while mishandling ventures. Tracing Musk from Zip2/PayPal to Tesla and SpaceX, the film argues he monetized climate credentials and inflated promises, then radicalized—taking over Twitter, courting authoritarian figures, and enabling extremist voices. With no interview, Gibney uses public records and a digital Musk avatar to critique his influence, urging viewers to reassess his grip on society and politics.

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OpenAI mistranslated mathematics into code for its Navier-Stokes proof

Researchers from Cambridge examined OpenAI's Navier–Stokes proofs published in natural language and in Lean code. They found a mismatch: the Lean formalization appears weaker in a key step (Lemma 8.6), requiring x < m+5 instead of x < m+4, so the two proofs do not strictly align. This mistranslation doesn’t invalidate the result but shows auto-formalisation cannot replace human peer review. OpenAI says it will fix the natural-language proof and continue formalising the 722 papers, highlighting challenges for AI-assisted mathematics.

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Japan's Most Famous Tuna Buyer Says He Turned Somali Pirates into Fishermen

Amid Somalia’s piracy crisis, Japanese sushi magnate Kiyoshi Kimura funded four boats, taught Somali crews to fish yellowfin, set up shore freezer capacity, and helped them engage with the Indian Ocean Tuna Commission to sell at stable prices. He argues piracy stemmed from a fishing collapse and his program offered a legal livelihood. Piracy declined dramatically—237 attacks in 2011 to near-zero by 2015—but authorities credit navies, vessel hardening, and governance; Kimura’s role is uncredited and hard to quantify. The piece contrasts his publicity‑driven Tuna King image with a real though modest aid effort.

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Show HN: The rarest tech books and docs you've probably never read

Rare collects internal memos, leaked handbooks, and forgotten books from the people who built Apple, Intel, Google, Netflix and Facebook. The index lists dozens of items—documents, emails, and books—free to read or borrow. Highlights include Steve Jobs’ Holy War with Google; The Internet Tidal Wave by Bill Gates; the Netflix Culture Deck; YouTube Investment Memo; Instagram emails; The OpenAI Founding Emails; Tim Berners‑Lee’s Information Management proposal; Buffett partnership letters; and other Silicon Valley startup chronicles.

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Why Are Coding Agents So Dumb?

Coding agents currently lag behind the models; the agent is the bottleneck. The model is the brain; the agent is the body that plugs text into commands. Core failings: poor task management (parallelism attempted serially), no effective delegation to cheaper/faster models, no awareness of their own capabilities, vague plans, frequent idling, and weak sandboxing that leaks secrets. The author's dream agent would: per-task model selection for cost/speed/correctness; human-readable plans; high-level-to-low iteration; UI mockups and data-flow diagrams; OS-level sandboxing with strict access controls; open-source; AFK mode; better UX. He cites a principal-agent problem and seeks recommendations.

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YouTuber Says Cops Visited Him After He Built a Flock-Style Camera to Track Cops

Canadian YouTuber Anthony Sistilli built a personal ALPR camera to track police cars and posted videos about it. Peel Regional Police reportedly visited his home to ask about his intentions for the data. Sistilli argues the irony that police deploy ALPR while resisting citizens’ use, and the piece flags concerns about data collection, retention, transparency, and how companies like Flock market these tools amid privacy worries and questions about crime reduction.

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No Man Is an Island

Argues that sustained intellectual work requires an intellectual community; AI dissolves communities, reducing both production and motivation. In software, AI increases output but erodes discourse, human capital development, and shared projects; private code gardens proliferate but no bazaar. In math, AI can prove and teach, making papers and textbooks superfluous. Intellectual activity rests on two inputs: a shared body of work and motivation (intrinsic and extrinsic). Without a community that adds to the common pool and recognizes contributors, there is little reason to create. The author rejects the view that isolation is good; humans flourish socially.

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Ideas aren't getting harder to find, anyone who tells you otherwise is a coward

Arguing against the claim that ideas are getting harder to find, the author contends that pessimism is a self-fulfilling prophecy. He notes history where major ideas seemed obvious only in hindsight and where revolutions emerged after periods of stagnation, and that discoveries beget more discoveries. He emphasizes that new tools, larger collaborative science, and paradigm shifts change what counts as a discovery, so progress isn’t simply “harder” but different (elevator to balloons to rockets). Per-capita output may fall with more researchers, but that reflects incentives and coordination, not a true lack of ideas. He urges optimism and fearless exploration.

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Microsoft-Decision-1, our model for fast decision-making

Microsoft-Decision-1 is a fast decision-scoring model for routing and classification, designed to plug into apps securely. Built from Qwen3.5-9B; will rebase on MAI/OpenAI; available in Foundry via OpenRouter. In benchmarks it achieved top accuracy and faster latency than rivals. Gives calibrated probabilities, supports yes/no, MC, rubrics; robust to paraphrase and option order; safety tested. Use cases include agent controls, model routing, data labeling, incident response. Pricing: $0.042 per million input tokens; outputs free. Getting started with Foundry; updates planned.

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'Wallace and Gromit,' 90% Alone

Nick Park’s A Grand Day Out, begun in 1982 as his NFTS graduation film, grew into a near‑solo project that took years to complete. A Bristol festival screening in 1989 unveiled Wallace and Gromit to a wider audience and set Park on a path to fame, shaping Aardman’s style and leading to Creature Comforts and The Wrong Trousers. The piece also covers education approaches like Unboxed via Asians in Animation and a roundup of animation news.

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In Memory of Deno

Cloudflare acquired Deno and will shut it down over the coming year. Matt from Organic Software lauds Deno’s ease of use, security sandboxing, portability, and philosophy, noting his team built a business and products on Deno Deploy, Deno Sandboxes, and Fresh. The post laments the fragile venture-backed model but says migration to Node or Bun is straightforward. It honors Ryan Dahl and the Deno team for open-source contributions and the lasting impact on the JavaScript ecosystem.

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Show HN: See *almost* any carriers phone settings

Carrier-explode is a GitHub project that decodes and compares iPhone, Pixel, and Galaxy carrier settings (APNs, VoLTE, Wi‑Fi Calling, 5G). Users can pick features, compare two versions or carriers, and see what changed in each build. Data is available via API as JSON or as a daily CC0 dataset, with a wiki describing formats. The 2.0 backend is improved, and contributions are welcome.

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I Pointed AI at 400 Years of Archives. It Found a Forgotten Meteorites and More

AI scanned 4.35 million Dutch East India Company pages plus newspapers and ship logs, using Jev/Haiku/Code pipelines to convert handwriting to searchable passages and verify against originals. Finds: Meteorite—1812 report from Batavia about a four-pound iron meteorite near Pandharpur, Maharashtra; Rhinos—1738–1740 records of live Javan rhinos sent to Sri Lanka that died en route; Eruptions—three previously undocumented eruptions: Gamkonora (1722), Ciremai (1712), Slamet (1780). Some leads failed (unknown 1808/09 eruption). Open-sourcing Antiquity toolkit for reproducible historical AI searches.

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