MIT Technology Review · Feb 27, 2025
MIT Technology Review reports OpenAI’s case for GPT-4.5—and the doubts it faces
Markdown · JSON · Original source
MIT Technology Review published this report on February 27, 2025. It describes ’s release of GPT-4.5 as a bet that scaling up a general-purpose model can improve its grasp of conversational cues and its performance on some tests. OpenAI researchers Mia Glaese and Nick Ryder describe its conversations as more natural and responsive to implicit expectations; OpenAI testers preferred it to GPT-4o for everyday, professional, and creative tasks. The report also draws a boundary around those claims: GPT-4.5 did better on SimpleQA, but its advantage was smaller on other tests, and it scored worse than o3-mini on standard science and math . The benchmark results are not the same as evidence of reliability in everyday use. Writer cofounder and CTO Waseem Alshikh argues that the release is a smoother version of the same approach, with energy costs that may outweigh differences many users notice. Ryder, by contrast, remains optimistic that scaling can continue. The dispute is over whether larger models’ conversational improvements justify the compute and energy they require, or whether efficiency and niche problem-solving deserve more attention. The report does not establish how much users notice the difference or what the energy costs are.
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
MIT Technology Review · Article
Source details
Original source date: Feb 27, 2025 (2025-02-27).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-15T04:58:31.743Z. First observed: 2026-10-24T14:12:09.451Z. Retrieved: 2026-10-24T14:13:47.970Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
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Limits
Text as retrieved on October 24, 2026; originally published February 27, 2025. The report does not provide energy-use measurements or evidence establishing how much everyday users notice the conversational differences. Its preference findings are from human testers employed by .
Open question
How much do users notice GPT-4.5’s conversational differences in everyday use, and what energy costs accompany them?
Source-stated
MIT Technology Review reports that OpenAI released GPT-4.5 as a new version of its flagship large language model.
OpenAI has just released GPT-4.5, a new version of its flagship large language model.
Source-stated
OpenAI claims GPT-4.5 is its biggest and best model for all-round chat yet.
The company claims it is its biggest and best model for all-round chat yet.
Source-stated
OpenAI researchers Mia Glaese and Nick Ryder describe GPT-4.5 as more capable in natural conversation and responsive to implicit user expectations.
“And we think that it has a stronger understanding of what users mean, especially when their expectations are more implicit, leading to nuanced and thoughtful responses.”
Source-stated
On SimpleQA, GPT-4.5 scored higher than GPT-4o and o3-mini, but the report says it did worse than o3-mini on standard science and math benchmarks.
And on standard science and math benchmarks, GPT-4.5 scores worse than o3-mini.
Source-stated
Waseem Alshikh argues that GPT-4.5 is a smoother version of the same approach and questions whether its benefits justify the energy costs.
“The juice isn’t worth the squeeze when you consider the energy costs and the fact that most users won’t notice the difference in daily use,” he says.
Escape Meridian interpretation
The report leaves open how much users notice GPT-4.5’s conversational differences and what energy costs accompany them.
most users won’t notice the difference in daily use
Source and contributor context
MIT Technology Review · 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.
Benchmark
A defined set of tests used to compare systems. Results depend on the tasks and measures selected.
OpenAI
OpenAI develops AI models and products and publishes research, release announcements and evaluations.
Editorial provenance
Version 1. Publication ID: 2e65f7c1-cccb-947d-becd-a06658e57e3f.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-15T04:53:25.191Z. 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: 56c42b9a9f759151c80dbe43319d910b35668d74995d77168292163d7dbba15c. Source text hash: ca9814999e5345b424e75b3be618a722a9b8c23957bdad5d1cf47408eab60d32.
Revision and source-check history
Version 1 · 2026-11-15T04:58:31.743Z
MIT Technology Review reports OpenAI’s case for GPT-4.5—and the doubts it faces
MIT Technology Review published this report on February 27, 2025. It describes ’s release of GPT-4.5 as a bet that scaling up a general-purpose model can improve its grasp of conversational cues and its performance on some tests. OpenAI researchers Mia Glaese and Nick Ryder describe its conversations as more natural and responsive to implicit expectations; OpenAI testers preferred it to GPT-4o for everyday, professional, and creative tasks. The report also draws a boundary around those claims: GPT-4.5 did better on SimpleQA, but its advantage was smaller on other tests, and it scored worse than o3-mini on standard science and math . The benchmark results are not the same as evidence of reliability in everyday use. Writer cofounder and CTO Waseem Alshikh argues that the release is a smoother version of the same approach, with energy costs that may outweigh differences many users notice. Ryder, by contrast, remains optimistic that scaling can continue. The dispute is over whether larger models’ conversational improvements justify the compute and energy they require, or whether efficiency and niche problem-solving deserve more attention. The report does not establish how much users notice the difference or what the energy costs are.
Original source
MIT Technology Review · Article
Source details
Original source date: Feb 27, 2025 (2025-02-27).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-15T04:58:31.743Z. First observed: 2026-10-24T14:12:09.451Z. Retrieved: 2026-10-24T14:13:47.970Z.
Limits
Text as retrieved on October 24, 2026; originally published February 27, 2025. The report does not provide energy-use measurements or evidence establishing how much everyday users notice the conversational differences. Its preference findings are from human testers employed by .
Open question
How much do users notice GPT-4.5’s conversational differences in everyday use, and what energy costs accompany them?
Source-stated
MIT Technology Review reports that OpenAI released GPT-4.5 as a new version of its flagship large language model.
OpenAI has just released GPT-4.5, a new version of its flagship large language model.
Source-stated
OpenAI claims GPT-4.5 is its biggest and best model for all-round chat yet.
The company claims it is its biggest and best model for all-round chat yet.
Source-stated
OpenAI researchers Mia Glaese and Nick Ryder describe GPT-4.5 as more capable in natural conversation and responsive to implicit user expectations.
“And we think that it has a stronger understanding of what users mean, especially when their expectations are more implicit, leading to nuanced and thoughtful responses.”
Source-stated
On SimpleQA, GPT-4.5 scored higher than GPT-4o and o3-mini, but the report says it did worse than o3-mini on standard science and math benchmarks.
And on standard science and math benchmarks, GPT-4.5 scores worse than o3-mini.
Source-stated
Waseem Alshikh argues that GPT-4.5 is a smoother version of the same approach and questions whether its benefits justify the energy costs.
“The juice isn’t worth the squeeze when you consider the energy costs and the fact that most users won’t notice the difference in daily use,” he says.
Escape Meridian interpretation
The report leaves open how much users notice GPT-4.5’s conversational differences and what energy costs accompany them.
most users won’t notice the difference in daily use
Source and contributor context
MIT Technology Review · 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.
Benchmark
A defined set of tests used to compare systems. Results depend on the tasks and measures selected.
OpenAI
OpenAI develops AI models and products and publishes research, release announcements and evaluations.
Editorial provenance
Version 1. Publication ID: 2e65f7c1-cccb-947d-becd-a06658e57e3f.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-15T04:53:25.191Z. 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: 56c42b9a9f759151c80dbe43319d910b35668d74995d77168292163d7dbba15c. Source text hash: ca9814999e5345b424e75b3be618a722a9b8c23957bdad5d1cf47408eab60d32.
uncertain · 2026-11-15T04:53:25.191Z · anthropic/claude-opus-5.5
Publication: 2e65f7c1-cccb-947d-becd-a06658e57e3f
attribution — pass: This is a single MIT Technology Review article, not a listing. The reading attributes product claims to OpenAI and its researchers Glaese and Ryder, and the criticism to Writer CTO Waseem Alshikh. The Deep Dive sidebar is not used.
The company claims it is its biggest and best model for all-round chat yet.
summary — uncertain: The central comparison is hard for a general reader to follow. SimpleQA, o3-mini and GPT-4o are named without explanation. A reader cannot tell that o3-mini is a step-by-step reasoning model, which is why its lead on math matters, or that SimpleQA is a general-knowledge quiz. Smallest repair: briefly gloss SimpleQA and o3-mini using the source's own descriptions, or add them to the term library. The summary also leaves out OpenAI's claim of fewer hallucinations.
Unlike reasoning models such as o1 and o3, which work through answers step by step, most large language models like GPT-4.5 spit out the first response they come up with.
date — pass: February 27, 2025 matches originalPublished at day precision and the URL path. There is no hindsight framing. Rollout plans and GPT-5 plans are not presented as outcomes. The sidebar items that refer to later events are not used. This is a publisher page, so no archive disclosure is required.
OpenAI says it will begin rolling out to other users next week.
support — pass: The claims match the source. These include the OpenAI release, its biggest-and-best claim, the Glaese and Ryder quotes, the SimpleQA lead and the weaker science and math results versus o3-mini. Alshikh's energy critique and Ryder's optimism are also supported. The preference findings are correctly limited to testers employed by OpenAI. The open question is framed as an unresolved issue.
Human testers employed by OpenAI say they preferred GPT-4.5 to GPT-4o for everyday queries, professional queries, and creative tasks
media — pass: No media was selected and no verified candidates were supplied, so nothing was misidentified.
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OpenAI develops AI models and products and publishes research, release announcements and evaluations.
Explore OpenAIA defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition referenceOpenAI develops AI models and products and publishes research, release announcements and evaluations.
Explore OpenAIOpenAI develops AI models and products and publishes research, release announcements and evaluations.
Explore OpenAIA defined set of tests used to compare systems. Results depend on the tasks and measures selected.
Definition referenceOpenAI develops AI models and products and publishes research, release announcements and evaluations.
Explore OpenAI