Rebecca Bellan reports OpenAI’s ambitions for AI research assistants in TechCrunch

Rebecca Bellan reports OpenAI’s ambitions for AI research assistants in TechCrunch

Published October twenty-eighth, twenty twenty-five, Rebecca Bellan reports that OpenAI CEO Sam Altman expects an intern-level research assistant by September 2026 and a fully automated “legitimate AI researcher” by 2028. OpenAI chief scientist Jakub Pachocki defines that researcher as a system able to deliver larger research projects autonomously, not a human who studies AI. He says OpenAI is pursuing algorithmic innovation and more “test time compute”—time and computing resources spent thinking through problems. Pachocki says current models handle tasks with roughly a five-hour time horizon, and argues that dedicating data-center-scale computing to a problem could be worthwhile for major scientific breakthroughs. These are OpenAI leaders’ forecasts and plans, not reported results. The article links the timetable to OpenAI’s restructuring as a public benefit corporation and Altman’s account of the infrastructure investment it would require. OpenAI says its nonprofit foundation will govern research direction and manage research and safety initiatives. Whether the projected research capabilities will arrive on this timetable, and what scientific work they might deliver, remains unknown.

Publication: 645b7ffc-e7f2-7bbf-c9d2-f76374d6a036

attribution — uncertain: Credit to Rebecca Bellan at TechCrunch and the quotes from Altman and Pachocki are correct. However, the summary sentence 'He says OpenAI is pursuing algorithmic innovation and more test time compute' and claim 3 attribute the two-strategy statement to Pachocki. In the source, the strategy sentence is the reporter's own framing and is not tied to a speaker. Smallest repair: attribute it to the article ('The article says OpenAI is betting on...').

To achieve those goals, OpenAI is betting on two key strategies: continued algorithmic innovation and dramatically scaling up “test time compute”

summary — pass: The reading leads with the forecast timeline, the actors and the definition of an AI researcher. It explains test time compute in plain language, and the definitions cover time horizon and public benefit corporation. It clearly marks the forecasts as plans rather than results and links them to the restructuring and infrastructure. The question follows from the evidence. The superintelligence quote is omitted, but that does not distort meaning.

date — pass: originalPublished 2025-10-28 at day precision matches the reading's date, and the livestream 'Tuesday' is consistent with that date. The page was modified the same day. The Most Popular sidebar items appear to be later additions, but the reading does not use them. Forecasts are reported as forecasts, not outcomes, and there is no hindsight framing.

support — pass: The timeline, the AI researcher definition, the five-hour time horizon, the data-center-scale compute remark, the 30 gigawatt and $1.4 trillion commitment, and the role of the nonprofit foundation are all grounded in the text. The limitations correctly state that no results are demonstrated. Apart from the speaker attribution of the strategy sentence, which is noted under attribution, no benefits or costs are invented.

Current models can handle tasks with a roughly five-hour time horizon and match top human performers in competitions like the International Mathematical Olympiad, Pachocki said.

media — pass: No media was selected and no verified candidates were supplied, so this is consistent with the evidence.