· Feb 24, 2025
Anthropic describes extended thinking’s benefits and limits
Markdown · JSON · Original source
’s page, published February 24, 2025, describes extended thinking in 3.7 Sonnet: users can turn it on or off, and developers can set a thinking budget. Anthropic says the same model spends more and effort on an answer, with its thought process visible in raw form. The company presents visible thoughts as a way to inspect answers and study model behavior, but warns that they may include incorrect or misleading reasoning and may not faithfully represent why the model behaves as it does. Anthropic says monitoring current models’ thinking cannot support strong arguments about their safety. That gap matters because visible reasoning may look informative without revealing the factors behind a decision. Anthropic reports improved results on evaluations and describes the model using computer controls and playing Pokémon Red. It also reports gains from parallel on GPQA, while noting that this approach was not available in the deployed model. These evaluation results do not establish everyday reliability. The post describes safeguards for visible thoughts and computer use, calls visible extended thinking a research preview, and says Anthropic will weigh its trade-offs for future releases. How well can visible thoughts help assess a model’s behavior if they may not represent the factors behind its decisions?
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
· Article
Source details
Original source date: Feb 24, 2025 (2025-02-24T00:00:00.000Z).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-15T06:03:23.419Z. First observed: 2026-10-20T11:57:19.987Z. Retrieved: 2026-10-29T18:07:44.868Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
Text as retrieved on October 29, 2026; originally published February 24, 2025. The page was edited after publication, so the retrieved text may include later additions; this reading does not treat later additions as part of the original publication. ’s reported evaluation results do not establish performance or reliability in everyday use. No verified media candidates were supplied.
Open question
How well can visible thoughts help assess a model’s behavior if, as says, they may not represent the factors behind its decisions?
Source-stated
Anthropic says Claude 3.7 Sonnet’s extended thinking mode can be toggled by users, while developers can set a thinking budget.
users can toggle “extended thinking mode” on or off, directing the model to think more deeply about trickier questions1. And developers can even set a “thinking budget”
Source-stated
Anthropic says the visible thought process may contain incorrect or misleading reasoning and may not faithfully represent why the model behaves as it does.
we don’t know for certain that what’s in the thought process truly represents what’s going on in the model’s mind
Source-stated
Anthropic says monitoring current models’ thinking cannot support strong arguments about their safety.
This means we can’t rely on monitoring current models’ thinking to make strong arguments about their safety2.
Source-stated
Anthropic reports that parallel test-time compute scaling produced a GPQA score of 84.8% under the described experimental setup.
Using the equivalent compute of 256 independent samples, a learned scoring model, and a maximum 64k-token thinking budget, Claude 3.7 Sonnet achieved a GPQA score of 84.8%
Source-stated
Anthropic says its computer-use safeguards prevented prompt injection attacks 88% of the time, compared with 74% without the mitigations.
we now prevent these attacks 88% of the time4, up from 74% of the time without the mitigations.
Source-stated
Anthropic calls visible extended thinking in Claude 3.7 Sonnet a research preview.
the visible thought process in Claude 3.7 Sonnet should be considered a research preview.
Source and contributor context
Anthropic · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Test-time compute
Extra computation a model spends while answering, for example by reasoning longer, rather than during training.
Anthropic
Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Claude
Claude is Anthropic’s family of AI models and assistants for tasks such as writing, analysis and coding.
TIME
TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Editorial provenance
Version 1. Publication ID: 9e65f45c-4135-5975-3ec4-236944acb76e.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-15T05:59:05.789Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: e1ebd29a154a8a2a01d5cb2bb63349146f61b1b377881f910fd68be5fda0fd7e. Source text hash: 10d04d381ebbec2f0a68e7f1a5d2b96551c757b7db875271c7e8dfcdae792791.
Revision and source-check history
Version 1 · 2026-11-15T06:03:23.419Z
Anthropic describes extended thinking’s benefits and limits
’s page, published February 24, 2025, describes extended thinking in 3.7 Sonnet: users can turn it on or off, and developers can set a thinking budget. Anthropic says the same model spends more and effort on an answer, with its thought process visible in raw form. The company presents visible thoughts as a way to inspect answers and study model behavior, but warns that they may include incorrect or misleading reasoning and may not faithfully represent why the model behaves as it does. Anthropic says monitoring current models’ thinking cannot support strong arguments about their safety. That gap matters because visible reasoning may look informative without revealing the factors behind a decision. Anthropic reports improved results on evaluations and describes the model using computer controls and playing Pokémon Red. It also reports gains from parallel on GPQA, while noting that this approach was not available in the deployed model. These evaluation results do not establish everyday reliability. The post describes safeguards for visible thoughts and computer use, calls visible extended thinking a research preview, and says Anthropic will weigh its trade-offs for future releases. How well can visible thoughts help assess a model’s behavior if they may not represent the factors behind its decisions?
Original source
· Article
Source details
Original source date: Feb 24, 2025 (2025-02-24T00:00:00.000Z).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-15T06:03:23.419Z. First observed: 2026-10-20T11:57:19.987Z. Retrieved: 2026-10-29T18:07:44.868Z.
Limits
Text as retrieved on October 29, 2026; originally published February 24, 2025. The page was edited after publication, so the retrieved text may include later additions; this reading does not treat later additions as part of the original publication. ’s reported evaluation results do not establish performance or reliability in everyday use. No verified media candidates were supplied.
Open question
How well can visible thoughts help assess a model’s behavior if, as says, they may not represent the factors behind its decisions?
Source-stated
Anthropic says Claude 3.7 Sonnet’s extended thinking mode can be toggled by users, while developers can set a thinking budget.
users can toggle “extended thinking mode” on or off, directing the model to think more deeply about trickier questions1. And developers can even set a “thinking budget”
Source-stated
Anthropic says the visible thought process may contain incorrect or misleading reasoning and may not faithfully represent why the model behaves as it does.
we don’t know for certain that what’s in the thought process truly represents what’s going on in the model’s mind
Source-stated
Anthropic says monitoring current models’ thinking cannot support strong arguments about their safety.
This means we can’t rely on monitoring current models’ thinking to make strong arguments about their safety2.
Source-stated
Anthropic reports that parallel test-time compute scaling produced a GPQA score of 84.8% under the described experimental setup.
Using the equivalent compute of 256 independent samples, a learned scoring model, and a maximum 64k-token thinking budget, Claude 3.7 Sonnet achieved a GPQA score of 84.8%
Source-stated
Anthropic says its computer-use safeguards prevented prompt injection attacks 88% of the time, compared with 74% without the mitigations.
we now prevent these attacks 88% of the time4, up from 74% of the time without the mitigations.
Source-stated
Anthropic calls visible extended thinking in Claude 3.7 Sonnet a research preview.
the visible thought process in Claude 3.7 Sonnet should be considered a research preview.
Source and contributor context
Anthropic · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Test-time compute
Extra computation a model spends while answering, for example by reasoning longer, rather than during training.
Anthropic
Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Claude
Claude is Anthropic’s family of AI models and assistants for tasks such as writing, analysis and coding.
TIME
TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Editorial provenance
Version 1. Publication ID: 9e65f45c-4135-5975-3ec4-236944acb76e.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-15T05:59:05.789Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: e1ebd29a154a8a2a01d5cb2bb63349146f61b1b377881f910fd68be5fda0fd7e. Source text hash: 10d04d381ebbec2f0a68e7f1a5d2b96551c757b7db875271c7e8dfcdae792791.
passed · 2026-11-15T05:59:05.789Z · anthropic/claude-opus-5.5
Publication: 9e65f45c-4135-5975-3ec4-236944acb76e
attribution — pass: The reading consistently attributes the descriptions, warnings, benchmark results and safeguard figures to Anthropic's own post about Claude 3.7 Sonnet. The page is a single first-party article, not a listing.
With the new Claude 3.7 Sonnet, users can toggle “extended thinking mode” on or off
summary — pass: The reading leads with the actor and the change: a toggleable extended thinking mode with a developer-set thinking budget and a visible raw thought process. It conveys the post's central tension, that visible reasoning helps trust and research but may not be faithful, and it reports Anthropic's research-preview framing. Test-time compute is defined beside the reading. GPQA is not explained but is not central. The question follows from the source's faithfulness concern. Omitting the ASL-2 determination does not distort the reading's focus.
Another issue is what’s known as “faithfulness”—we don’t know for certain that what’s in the thought process truly represents what’s going on in the model’s mind
date — pass: The stated date, February 24, 2025, matches the UTC day of originalPublished. The page was edited after publication, but the cited passages concern the Claude 3.7 Sonnet launch and are plainly part of the original piece. The limitations disclose the later retrieval and the edit. No hindsight framing appears, and the plans for future releases remain attributed intentions.
We’ll weigh the pros and cons of revealing the thought process for future releases3.
support — pass: Each claim matches the source text: the toggle and thinking budget, the incorrect or misleading thoughts, faithfulness, the safety-monitoring limit, GPQA 84.8% under the stated setup, prompt injection prevention of 88% versus 74%, and the research preview. The line "That gap matters" stays close to the source's own point that decisions rest on undiscussed factors. The everyday-reliability caveat is appropriately cautious.
Thus far, our results suggest that models very often make decisions based on factors that they don’t explicitly discuss in their thinking process.
media — pass: No media was selected, and no verified media candidates were supplied, so no invalid or unverified media is attached.
Challenge or correct this reading
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Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicClaude is Anthropic’s family of AI models and assistants for tasks such as writing, analysis and coding.
Explore ClaudeTIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Explore TIMEExtra computation a model spends while answering, for example by reasoning longer, rather than during training.
Definition referenceAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicClaude is Anthropic’s family of AI models and assistants for tasks such as writing, analysis and coding.
Explore ClaudeTIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Explore TIMEExtra computation a model spends while answering, for example by reasoning longer, rather than during training.
Definition referenceAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore AnthropicAnthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Explore Anthropic