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Monday, October 26, 2026

6 stories worth reading from 13 on X in the past day

Trending on YouTube 2 ↓Other AI news 3 ↓Feature · AI and jobs ↓Special · pstack ↓

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6 stories
  1. 13 hours agoOpus 5.5 holds the crown for a month — and as Anthropic token use jumps 3.6x, users say the limits are shrinking"This model felt endless.@Tech_girl +5· ♥ 3.9K· Anthropic
  2. 16 hours ago'ChatGPT installed apps on my PC without asking' — a Japanese user's post hits 2.29M views, but skeptics blame full permissionsA Japanese X user (@8787sasuke) says ChatGPT tried to install and run apps on their PC without permission.@8787sasuke +1· ♥ 8K
  3. 24 hours agoCoding agents follow stale CLAUDE.md files 90% of the time — one sentence flips itWhen a project's instruction file (CLAUDE.md or AGENTS.md) disagrees with the actual code, coding agents like…@ai_database· ♥ 3.8K· arXiv
  4. 18 hours agoTerra beats Sol? Rumors say GPT-6.1 Terra is days away — and OpenAI's naming is a messClaims are spreading on X that OpenAI's mid-tier GPT-6.1 Terra is about to launch.@TokenGremlin +1· ♥ 891
  5. 14 hours agoShigeru Miyamoto: as AI takes over tasks, it's a chance to ask what 'creating' really meansShigeru Miyamoto, creator of Super Mario and The Legend of Zelda, said generative AI offers "an opportunity t…@famitsu· ♥ 7.6K· ファミ通.com
  6. 26 hours agoA free 'survival AI' that works with the internet down — 1.5 million offline medical and emergency articlesA free app that runs an AI model entirely on your own computer, no internet required, is making the rounds on…@RatOrthodox· ♥ 1.8K· brangus.io

Trending on YouTube

2 stories

AI videos that drew views and comments fast on YouTube, with the claims checked against articles and sources

Feature · AI and jobs

Bill Gates says firms 'hire the robot, fire the human' — yet 16% of workers replaced by AI were asked to come back

"My coding skills, which I'd been obsessed with since I was 13, became essentially useless." Microsoft co-founder Bill Gates said that in an Observer interview published Oct 25. The same weekend, Wall Street and HR research produced numbers pointing another way: AI has paid off nothing outside tech, and plenty of companies that replaced people with AI are calling them back. We checked how far Gates's warning holds up.

Bill Gates says firms 'hire the robot, fire the human' — yet 16% of workers replaced by AI were asked to come back

  1. 'Hire the robot, fire the human and don't look back'

    In an exclusive Observer interview, Gates said people will keep losing jobs to AI because "the incentive structure is wrong: it's 'hire the robot, fire the human and don't look back'." He called the AI age an "evolutionary event" in which humans are no longer the most intelligent things on the planet, and predicted that invention and white-collar skills, then physical labor via humanoids, will be replaced.

  2. 'My coding skills became essentially useless'

    According to JoongAng Ilbo, Gates said he realized late last year that the coding skills he had obsessed over since age 13 had become essentially useless, and that humans can no longer be the world's best coders. On the Decoder podcast the same day he called the next 20 years potentially the most chaotic in human history. His remedies: a 'token tax' on AI use and higher taxes on the rich — he said he paid $14 billion in tax over his life but would have paid $40 billion.

  3. Yet outside tech, the payoff is zero

    Apollo chief economist Torsten Slok wrote on Oct 25 that "the technology has delivered zero financial payoff to corporate America outside of tech." Business Insider reported that tech firms' revenue per employee rose from $550,000 in 2022 to nearly $800,000, while the rest of the S&P 500 has sat around $550,000 for seven years, with margins stuck near 10%. Mainstream companies, Slok said, are starting to see token spending "as a cost center that weighs on margins."

  4. 16% fired and rehired: 'automate first, understand the work second'

    In an SHL survey of 2,036 U.S. and U.K. workers, 16% said they had been replaced by AI and later asked back by the same employer — 19% in the U.S. and 24% among 18- to 24-year-olds. SHL calls it 'AI rebounding,' The Globe and Mail reported: "The pattern we see is automate first, understand the work second. That's backwards." To return, 51% would want a significant raise and 42% written job-security guarantees.

  5. Goldman: AI-exposed industries hired 10,000 fewer than trend

    Goldman Sachs economist Joseph Briggs wrote on Oct 22 that employment in the industries most exposed to AI ran about 10,000 jobs below trend over the past three months, though AI-related construction hiring largely offset it and the effect is smaller than feared earlier this year. Only 23% of U.S. establishments use AI in regular workflows; if AI lifts productivity 15%, about 9% of workers could be temporarily displaced.

  6. 'Pure people managers won't survive'

    Airbnb CEO Brian Chesky named two types of people who won't make the shift to AI: "pure people managers" and people who are rigid and won't change, Fortune reported. "You can't just be these managers where you're people's therapists, and you're just doing meetings," he said, arguing bosses must become hybrid manager-ICs close to the work.

  7. In Korea, 94% of lost youth jobs were in AI-exposed industries

    Korea's numbers point the same way. MBC News reported on Oct 25 that total employment rose by 110,000 last month while youth employment fell by nearly 150,000, and that 94% of youth jobs lost over the past four years were in AI-exposed industries. A working developer said juniors used to learn from their mistakes, but AI now solves problems for them, shrinking the chance to build skills.

  8. The pushback: 'like saying electricity has zero payoff outside utilities'

    The skeptics have critics too. Under an X post on the Apollo report (256,000 views), a reply comparing it to "suggesting electricity has zero payoff outside of utilities" drew 1,300 likes. An investor in several small businesses said AI saved considerable money through translation, advertising legal advice and automation, reducing part-time hiring. SHL itself says replacing people with AI cuts this year's costs, but elevating people with AI is how companies grow.

Special · pstack

Wake up to thousands of merged PRs: what 'pstack' is and why X won't stop talking about it

"🫡 time to install pstack." Thariq, who worked on Claude Code for over a year and left Anthropic on Oct. 24, posted that the next day to 840 likes, right after his farewell post drew 30,500. pstack is a skill pack for coding agents built by Lauren Tan (@poteto), who has worked at Netflix, on Meta's React core team and at Cursor. Her claim of roughly 2,500 agent-handled PRs a month has made it a fixture of developer X. We went to the sources to explain what it is and why it matters.

Wake up to thousands of merged PRs: what 'pstack' is and why X won't stop talking about it
  1. cursor/plugins · GitHub ↗

    What pstack is: a playbook for how agents should work

    pstack is an MIT-licensed skill pack in Cursor's official plugin repo (cursor/plugins). It holds 23 Markdown playbooks, 24 principles, 30-odd skills and two subagents, laying out the steps an agent should follow for bug fixes, perf work, refactors and features. The entry point is /poteto-mode: put it in front of a prompt and it picks the right playbook and calls other skills.

  2. cursor/plugins · GitHub ↗

    Why it's spreading: no more "fixed it" when it isn't

    A common agent failure: edit a few files, run tests, report success, and the bug is still there. pstack's bug-fix playbook makes the agent reproduce the failure in the running app before touching code, find the root cause, make the smallest fix and re-run the original failing interaction. The README says "if you want to go fast, go deep first" and "the goal is not to maximize loc, in fact it's the opposite."

  3. @MaiYangAI · X ↗

    Merging while you sleep, with separate verifiers

    The autopilot playbooks drew the most attention. One owner agent carries each PR to merge, but its own verdict doesn't count: separate verifier agents must sign off on the exact patch, and CI must pass on a freshly rebased head. Tan told Matt Pocock she hands work to agents, goes to sleep and checks in the morning.

  4. MixedLauren Tan · X ↗

    "2,500 PRs a month": a self-reported number

    Tan has cited roughly 2,000 PRs a month (late August) and about 2,500 (a September talk). The figures aren't independently verified, and she says "they're not obviously like 2,500 features": much of it is gardening, such as restructuring and deleting code. Full autopilot is "quite token intensive."

  5. @cu30rry_ · X ↗

    It works in Claude Code too

    Built for Cursor, pstack gained official Claude Code support on Oct. 17: /plugin marketplace add cursor/plugins, then /plugin install pstack@cursor-plugins, with commands prefixed like /pstack:poteto-mode. The post announcing it drew 2,100 likes. An unofficial port for Codex, Copilot and OpenCode, pstack-claude, was reported at over 2,000 GitHub stars.

  6. Positive@DanielLockyer · X ↗

    What users say: "deploys 30% faster"

    Developer Daniel Lockyer said pstack and Opus 5.5 cut his production deploy time by about 30%. Developer dotta called it "a goldmine of prompt engineering," praising Tan's sample prompt for packing a goal, a checkable finish condition, the evidence to show and constraints. Dmitriy Leybel, who had Opus 5.5 write a pstack deep dive, called it "a masterclass in agentic engineering."

  7. Lauren Tan · X ↗

    What's next: statecharts and formal verification

    Tan recently showed agents drawing statecharts of code, then using a pstack-made formal verification skill to hunt bugs with tools like TLA+; those posts each passed 5,000 likes. On Oct. 11 she said pstack got 10% smaller with no loss in behavior, and she expects most skills to compress into short principles as models improve.

  8. MixedLauren Tan · developer.tenten.co ↗

    Limits: not plug-and-play

    Tan says the setup took months and is "very hard to get to this point." Multi-agent verification burns usage quickly, so one implementation plus one focused review is often enough for routine work. She has no answer yet for domains like finance or healthcare where changes can't be verified or reverted automatically. Irreversible actions still go to a human.

Other AI news

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Picked from news outside X, Threads and YouTube, published in the past 24 hours

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