OpenAI
openai.com › research
Research | OpenAI
OpenAI’s o series models are advanced reasoning AI systems that use chain-of-thought processes to solve complex STEM problems through logical, step-by-step analysis. Our smartest and most capable models to date with full tool access ... Our research on generative modeling for images has led to representation models like CLIP, which makes a map between text and images that an AI can read, and DALL-E, a tool for creating vivid images from text descriptions.
Videos
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My Plan To Make #1 Best AI Lab In The World - ROADMAP AI Research ...
10:39
OpenAI Researcher QUITS — Says the Company Is Hiding the Truth ...
01:14:59
High School Dropout to OpenAI Researcher - Gabriel Petersson ...
20:16
Introduction to Deep Research - YouTube
01:14:34
OpenAI researcher on why soft skills are the future of work | Karina ...
48:13
How AI Is Accelerating Scientific Discovery Today and What's Ahead ...
Smapply
openai.smapply.org › prog › openai_researcher_access_program
OpenAI Researcher Access Program - OpenAI
Researchers can apply for up to $1,000 of OpenAI API credits to support their work. Credits are valid for a period of 12 months and they can be applied towards any of our publicly available models. Please note that applications are reviewed once every 3 months (in March, June, September, and ...
UX Tigers
uxtigers.com › post › deep-research
Deep Research: First Impressions
February 15, 2025 - The new “Deep Research” reasoning models from OpenAI and Google dive deep into published sources and synthesize the information into detailed and readable reports. (Leonardo) Since I’m less interested in traditional science, I posed it the challenge of planning a short vacation in Hokkaido, Japan. Deep Research provided great overviews of the resorts and sightseeing options, but I was particularly impressed with its ability to ask follow-up questions before embarking on the research.
Futurism
futurism.com › artificial intelligence › openai › openai researcher quits, saying company is hiding the truth
OpenAI Researcher Quits, Saying Company Is Hiding the Truth
2 weeks ago - In his final parting message shared internally, he wrote that the economic research team was veering away from doing real research and instead acting like its employer’s propaganda arm. Shortly after Cunningham’s departure, OpenAI’s chief strategy officer Jason Kwon sent a memo saying the company should “build solutions,” not just publish research on “hard subjects.”
Understanding AI
understandingai.org › p › these-experts-were-stunned-by-openai
These pros were stunned by OpenAI Deep Research
February 24, 2025 - But seven out of 19 respondents—including Wolnitzek—said OpenAI’s response was at or near the level of an experienced professional in their fields. A majority of respondents estimated it would take at least 10 hours of human labor to produce a comparable report. I see these results as hugely significant. It’s not just that Deep Research is likely to be useful across a wide range of industries.
TechCrunch
techcrunch.com › home › sam altman says openai will have a ‘legitimate ai researcher’ by 2028
Sam Altman says OpenAI will have a ‘legitimate AI researcher’ by 2028 | TechCrunch
October 28, 2025 - OpenAI says its deep learning systems are rapidly advancing, with models increasingly able to solve complex tasks faster. So fast, in fact, that internally, OpenAI is tracking toward achieving an intern-level research assistant by September 2026 and a fully automated “legitimate AI researcher” by 2028, CEO Sam Altman said during a livestream Tuesday.
Towards Data Science
towardsdatascience.com › home › latest › deep research by openai: a practical test of ai-powered literature review
Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review | Towards Data Science
March 4, 2025 - “Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” · With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature review within 6 minutes.
OpenAI
openai.com › index › frontierscience
Evaluating AI’s ability to perform scientific research tasks | OpenAI
Independent experts review each other tasks to verify it aligns with the criteria. The Olympiad set is gradable with a short answer: either with a number, expression, or fuzzy string match, which helps with verifying correctness. However, this verification often trades off with the expressivity and open-endedness of the problem. For the Research set, we introduce a rubric-based architecture for grading more open-ended tasks.
DataCamp
datacamp.com › blog › deep-research-openai
OpenAI's Deep Research: A Guide With Practical Examples | DataCamp
February 5, 2025 - Deep Research’s high pass@1 score shows that even its first attempt at answering a GAIA question is more accurate than previous models. The cons@64 score (which measures performance with multiple response attempts) further highlights its ability to self-correct and refine its answers based on new information. OpenAI also performed internal evaluations, in which Deep Research was rated by domain experts on expert-level tasks.
Smapply
openai.smapply.org
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. In service of that mission, we sometimes provide grants (in the form of monetary compensation or API credits, depending on the program) to support strategic initiatives and research.
OpenAI
openai.com › careers › research-engineer-applied-ai-engineering
Research Engineer, Applied AI Engineering | OpenAI
As a Research Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs ...
Reddit
reddit.com › r/machinelearning › ama: the openai research team
r/MachineLearning on Reddit: AMA: the OpenAI Research Team
January 10, 2016 -
The OpenAI research team will be answering your questions.
We are (our usernames are): Andrej Karpathy (badmephisto), Durk Kingma (dpkingma), Greg Brockman (thegdb), Ilya Sutskever (IlyaSutskever), John Schulman (johnschulman), Vicki Cheung (vicki-openai), Wojciech Zaremba (wojzaremba).
Looking forward to your questions!
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Four out of six team members attending this AMA are PhD students, conducting research at universities across the world. What exactly does it mean that they're part of OpenAI now? They're still going to conduct & publish the same research, and they're definatelly not moving to wherever OpenAI is based. So MSR, Facebook, Google already publish their work. Universities are there to serve humanity. DeepMind's mission is to "solve AI". How would You describe difference between those institutions and OpenAI? Or is OpenAI just a university with higher wages and possibilites to skype with some of the brightest researchers? You say you want to create "good" AI. Are You going to have a dedicated ethics team/comittee, or You'll rely on researchers' / dr Stuskever's jugdements? Do You already have any specific research directions that You think OpenAI will pursue? Like reasoning / Reinforcement learning etc. Are You going to focus on basic research only, or creating "humanity-oriented" AI means You'll invest time in some practical stuff like medical diagnosis etc.?
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Is OpenAI planning on doing work related to compiling data sets that would be openly available? Data is of course crucial to machine learning, so having proprietary data is an advantage for big companies like Google and Facebook. That's why I'm curious if OpenAI is interested in working towards a broader distribution of data, in line with its mission to broadly distribute AI technology in general.