ClaimsDario Amodei

“I would guess a year from now, the models can do this very, very reliably.”

Dario Amodei, Anthropic CEO 11 November 2024 Transcript for Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity (Lex Fridman Podcast)

Prediction AI capabilities

Amodei guessed that by about November 2025, AI models would be able to perform computer-use tasks very, very reliably.

Mostly true True in substance, wrong in a detail.

Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?

What would count as true or false

The claim is that by about November 2025 AI models will perform computer-use tasks (operating a GUI computer to complete tasks) 'very, very reliably', compared with a state of the art of about 15–22% on OSWorld in late 2024. Reliability is measured mainly by the best reported OSWorld (or OSWorld-Verified) score, with human-level performance (about 72%) as the benchmark for 'very reliable'. True: by 30 Nov 2025 the best reported score is 70% or higher, or comparable evidence shows near-human reliability on everyday computer tasks. Mostly true: 65% to under 70%. Mostly false: 40% to under 65% (large progress, but not very reliable). False: below 40%, or dated reports from late 2025 describing computer-use agents as still unreliable for routine tasks.

Set before the research began.

Evidence (11)

  1. E1 Introducing Claude Sonnet 4.5 Anthropic · 29 September 2025 Own record

    “On OSWorld, a benchmark that tests AI models on real-world computer tasks, Sonnet 4.5 now leads at 61.4%. Just four months ago, Sonnet 4 held the lead at 42.2%.”
  2. E2 Introducing OSWorld-Verified XLANG Lab (HKU), OSWorld benchmark maintainers · 28 July 2025

    “With human performance estimated at ~72% from our original study, the best current systems have now reached 84.4% of human capability (CoACT-1 at 60.76%).”
  3. E3 osworld.md Steel (leaderboard.steel.dev) · 16 October 2026

    “| 13 | Claude Opus 4.5 | 66.3% | Anthropic | OSWorld-Verified self-reported result; reported on anthropic.com. | https://www.anthropic.com/news/claude-opus-4-5 | — |”
  4. E4 OSWorld | AI Wiki AI Wiki (aiwiki.ai) · 7 May 2026

    “Within five months that number had been overtaken by frontier production systems, with Claude Opus 4.5 reaching 66.3% and Claude Opus 4.6 crossing the 72% human baseline in February 2026.”
  5. E5 Introducing OSWorld-Verified XLANG Lab (xlang.ai) · 28 July 2025

    “With human performance estimated at ~72% from our original study, the best current systems have now reached 84.4% of human capability (CoACT-1 at 60.76%).”
  6. E6 OSWorld | AI Wiki AI Wiki (aiwiki.ai) · 7 May 2026

    “| November 2025 | Claude Opus 4.5 | Anthropic | 66.3% | n/a | First model above 60% on main leaderboard |”
  7. E7 OSWorld | AI Wiki AI Wiki (aiwiki.ai) · 7 May 2026

    “Third, the trajectory crossed the 72.36% human baseline in February 2026 when Claude Opus 4.6 reached 72.7%.”
  8. E8 OSWorld | AI Wiki AI Wiki (aiwiki.ai) · 7 May 2026

    “The September 2025 jump to 61.4% in Claude Sonnet 4.5 was widely characterized in the developer press as the first "production-grade" computer-use Claude.”
  9. E9 Claude Opus 4.6: Features, Benchmarks, and Pricing Guide Digital Applied · 5 February 2026

    “| OSWorld | 72.7% | 66.3% | — | — |”
  10. E10 Introducing Claude Opus 4.5 Anthropic · 24 November 2025 Own record

    “Each of these updates takes advantage of Claude Opus 4.5’s market-leading performance in using computers, spreadsheets, and handling long-running tasks.”
  11. E11 Anthropic releases Opus 4.5 with new Chrome and Excel integrations | TechCrunch TechCrunch · 24 November 2025

    “Anthropic also emphasized Opus’ computer use and spreadsheet capabilities, and launched a number of parallel products to showcase how the model holds up in those settings.”

Reasoning

An independent wiki timeline lists Claude Opus 4.5 at 66.3% on OSWorld in November 2025 (E6, E4), and Anthropic's launch post for that model is dated 2025-11-24 (E10). A third-party leaderboard also lists this 66.3% OSWorld-Verified result, though it marks it as self-reported by Anthropic (E3). The same sources say the ~72% human baseline was first crossed in February 2026, after the deadline (E4, E7). The best score reported by 30 Nov 2025 was therefore in the 65% to under-70% band, which the criteria define as mostly true.

Cite this claim

Dario Amodei, “Amodei guessed that by about November 2025, AI models would be able to perform computer-use tasks very, very reliably.” (said 11 November 2024). Verdict: mostly true. Reliability API, claim c_4ce12261556e, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_4ce12261556e

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Dario Amodei, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More prediction claims by Dario Amodei

  1. Mostly false Prediction 23 September 2026
    “We believe AI for biology is on a similar exponential trend.”

    Amodei said that "we" believe AI for biology is on an exponential trend similar to the one he described for AI in mathematics.

  2. Resolved true Prediction 28 February 2025
    “for coding, we're going to see very serious things by the end of 2025,”

    By the end of 2025, AI will do very serious things in coding.

  3. Resolved false Prediction 11 November 2024
    “But I would guess that in another 10 months, we’ll probably get pretty close. We’ll be at least 90%.”

    Amodei guessed that within about 10 months AI models would probably get pretty close on typical real-world programming tasks, reaching at least 90%.

  4. Mostly false Prediction 11 November 2024
    “in 10 months we’ve gone from 3% to 50% on this task. And I think in another year we’ll probably be at 90%.”

    Amodei said that, after progress from 3% to 50% on SWE-bench in 10 months, state-of-the-art models would probably be at about 90% in another year, while adding that he did not know and it might be less.

  5. Mostly true Prediction 28 February 2026
    “We're gonna be fine. The-- the impact of this designation is fairly small.”

    Anthropic will be fine, and the impact of the supply chain risk designation on it will be fairly small.

All of them

Verdicts are made automatically; how verdicts are made.