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What people in AI, tech and science are talking about today.

26 October 2026 · Top 10

Ranked by how fast each item is picking up attention on X, Hacker News, GitHub and Hugging Face, with a short note on why it matters.

  1. IBM's CEO says open-weight models now win on-prem

    On IBM's Q3 earnings call, Arvind Krishna said open-weight models are now about 90% as good as frontier models at 10–25% of the token cost, and fit in two or three racks. He expects most enterprise tasks to move to the cheaper option.

    Source: Hacker News · discussionLink · Post on X · LinkedIn ·
    ▲ +40 pts/h164 points · 94 comments
    LLMs

  2. A 10-year-old CNN beats frontier LLMs at spotting skin cancer

    A Guy's Hospital dermatologist tested 200 biopsy-proven lesions: a fine-tuned 2015 Inception v3 model got 62% right, versus 42% for GPT-6 Astra and Claude Fable 5.1. Small specialised models still beat general chatbots at medical imaging.

    Source: Hacker News · discussionLink · Post on X · LinkedIn ·
    ▲▲ +46 pts/h516 points · 230 comments
    LLMs

  3. NVIDIA's GTC Berlin pitch: Europe's own AI economy

    Jensen Huang used GTC Berlin to push AI factories, agents, robotics and healthcare AI built in Europe. It signals NVIDIA courting European sovereign-AI spending.

    Source: X · @nvidiaLink · Post on X · LinkedIn ·
    ▲▲ +62 eng/h629 likes · 77 reposts
    AI & Agents

  4. Chandra finds strange X-ray objects hiding in 20-year-old data

    Anton Petrov walks through a Nature Astronomy paper on new cosmic X-ray sources spotted in archival Chandra observations. Old telescope data keeps turning up new physics.

    Source: YouTube · Anton PetrovLink · Post on X · LinkedIn ·
    ▲ +7,044 views/h64,215 views · 2,771 ratings
    Science

  5. How to cut a triangle into a square

    Numberphile's James Grime shows the classic dissection that turns an equilateral triangle into a square in four pieces, a puzzle from the early 1900s.

    Source: YouTube · NumberphileLink · Post on X · LinkedIn ·
    ▲ +9,535 views/h156,194 views · 3,680 ratings
    Science

  6. Why OpenAI and Anthropic cut LLM prices by up to 80%

    Max Woolf charts months of tit-for-tat price cuts, from GPT-5.6 Luna's 80% drop to Opus 5.5 and GPT-6.1 Sol, and argues cheap open-weight models served by dozens of providers are forcing the labs' hand. Agent coding costs have fallen sharply as a result.

    Source: Hacker News · discussionLink · Post on X · LinkedIn ·
    ▲ +39 pts/h252 points · 273 comments
    LLMs

  7. GitHub's secret scanning gets faster and less noisy

    GitHub says a new classifier raised acceptance of secret-scanning alerts by 11.5% and cut median scan time by 86%. Fewer false alarms means leaked keys get fixed faster.

    Source: X · @githubLink · Post on X · LinkedIn ·
    – +18 eng/h98 likes · 8 reposts
    Dev Tools

  8. A planted markdown file can hijack coding agents

    A security firm reports a real attack where a malicious site dropped a markdown file into a Downloads folder, and an AI coding agent started there followed its hidden instructions. Where you launch an agent matters.

    Source: X · @choblin29Link · Post on X · LinkedIn ·
    – +13 eng/h61 likes · 1 reposts
    AI & Agents

  9. PaperPilot: a Rust PDF engine that runs locally, with MCP

    PaperPilot is an open-source, pure-Rust PDF engine that compiles to WebAssembly and exposes an MCP server, so agents can work with PDFs without a cloud service.

    Source: Hacker News · discussionLink · Post on X · LinkedIn ·
    – +24 pts/h78 points · 18 comments
    AI & Agents

  10. An agent skill for genealogy research across the former USSR

    This open-source skill for Codex and Claude Code searches church books, civil, military and repression records for family history, and passed 590 GitHub stars in a day. Agent skills are spreading well beyond coding.

    Source: GitHubLink · Post on X · LinkedIn ·
    ▲▲ +28 stars/h593 stars in 1d
    AI & Agents

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How this works

Signals today: 7 from X, 5 from Hacker News, 12 from GitHub, 50 from HF Papers, 27 from YouTube. Scores combine how fast an item is picking up attention, how recent it is, and how many places it shows up. Each note is short, factual and links to the original. YouTube comes from public channel feeds of about fifty channels.