Amodei guessed that within about 10 months AI models would probably get pretty close on typical real-world programming tasks, reaching at least 90%.
Resolved false The record shows it did not happen or was not so.
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
In context, the measure of 'typical real-world programming tasks' is SWE-bench Verified (or the SWE-bench variant he discussed). The deadline is September 2025, about 10 months after 11 November 2024. TRUE: by 30 September 2025, an AI model or agent system has a published or officially verified score of 90% or more on SWE-bench Verified (lab announcement, the official SWE-bench leaderboard or a model system card). MOSTLY TRUE: a score of 90% or more is reached by the deadline, but only under a minor qualifier the claim did not depend on, such as an extensive-sampling or parallel-compute setting reported by the lab. MOSTLY FALSE: the best score by the deadline is between 88.2% and just under 90% (within 2% of the bound), or 90% is reached only after September 2025. FALSE: the best score by 30 September 2025 is below 88.2%.
Set before the research began.
Evidence (6)
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E1 Why we no longer evaluate SWE-bench Verified OpenAI · 23 February 2026
“from 74.9% to 80.9% in the last 6 months”
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E2 Why SWE-bench Verified no longer measures frontier coding capabilities OpenAI · 23 February 2026
“After initial leaps, state-of-the-art progress on SWE-bench Verified has slowed, improving(opens in a new window) from 74.9% to 80.9% in the last 6 months.”
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E3 Introducing Claude Sonnet 4.5 Anthropic · 29 September 2025 Own record
“We report 77.2%, which was averaged over 10 trials, no test-time compute, and 200K thinking budget on the full 500-problem SWE-bench Verified dataset.”
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E4 Introducing Claude Sonnet 4.5 Anthropic · 29 September 2025 Own record
“This results in a score of 82.0% for Sonnet 4.5.”
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E5 Claude Sonnet 4.5: Best coding model or just more marketing? R&D World · 30 September 2025
“In terms of claimed benchmarks, Sonnet 4.5 leads Anthropic’s own chart on SWE-bench Verified (n=500), posting 77.2% accuracy in standard runs and 82.0% with parallel test-time compute (the asterisked figure).”
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E6 Introducing GPT-5 for developers OpenAI · 7 August 2025
“GPT‑5 is state-of-the-art (SOTA) across key coding benchmarks, scoring 74.9% on SWE-bench Verified and 88% on Aider polyglot.”
Reasoning
An OpenAI review from February 2026 says state-of-the-art progress on SWE-bench Verified slowed, rising only from 74.9% to 80.9% over the previous six months (E1, E2). None of the reported scores reaches or comes near 90% by September 2025. OpenAI puts state-of-the-art progress at 74.9% rising to 80.9% in the six months before February 2026 [E2], and Anthropic's highest reported figure for Sonnet 4.5 in September 2025 is 82.0% [E4]. Near the deadline, the top reported figures were GPT-5 at 74.9% (E6) and Claude Sonnet 4.5 at 77.2% in standard runs. Sonnet 4.5 reached 82.0% only with parallel test-time compute (E3, E4, E5). The best score by 30 September 2025 was well below the 88.2% threshold, so the claim resolves false.
Cite this claim
Dario Amodei, “Amodei guessed that within about 10 months AI models would probably get pretty close on typical real-world programming tasks, reaching at least 90%.” (said 11 November 2024). Verdict: resolved false. Reliability API, claim c_775bda437f17, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_775bda437f17
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More prediction claims by Dario Amodei
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Mostly false
“We believe AI for biology is on a similar exponential trend.”
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Resolved true
“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.
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Mostly false
“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%.”
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Mostly true
“I would guess a year from now, the models can do this very, very reliably.”
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Mostly true
“We're gonna be fine. The-- the impact of this designation is fairly small.”
Verdicts are made automatically; how verdicts are made.