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OpenAI’s agents reached a proposed solution in 88 hours. But the human research that came before, and the controversy that followed, raise a harder question: what actually counts as an AI discovery?
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In Part 1 of this series, we covered the foundational principles of prompt engineering in Amazon Quick: specificity, context-setting, few-shot examples, and the CRISPE framework for complex requests. Those principles apply universally. In this post, we go component by component, showing you how each Quick capability interprets prompts differently and what patterns get the best results from each one. You might use Amazon Quick Research for market analysis, Amazon Quick Flows for automation, Amazon Quick Sight for data visualization, chat agents for team knowledge access, or action integrations for cross-system…
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AMD is acquiring World Labs, one of the leading developers of deep learning models intended to understand physical reality, in a $8.2 billion deal, the two companies said today. World Labs justified the deal in a statement saying that AI development required “close collaboration across model research, systems and compute.” AMD, in turn, says that understanding frontier workloads, like those created at World Labs, will shape its chip-making roadmap. The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist. AMD and World…
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Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." A few months ago, researchers from the MIT Senseable City Lab published a study about pollution in New York City featuring some new methods. For instance: With…
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Patricia and James Poitras ’63, longtime MIT supporters, have launched a fellowship program for graduate students and postdocs studying major mental illness, expanding their MIT philanthropy to directly support early-career scientists. The commitment establishes 50 two-year fellowships through the Poitras Center for Psychiatric Disorders Research at MIT’s McGovern Institute for Brain Research. Five fellowships will be awarded every year for the next decade, creating a long-term talent pipeline focused specifically on psychiatric disorders. The $10 million gift is the latest in a series of philanthropic investments from the Poitras family…
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GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models. Parallel builds developer infrastructure for AI agents that do knowledge work over the web. Its tools support everything from web grounding for voice agents to research for financial institutions and legal customers, combining frontier models with web search. For Parallel’s longest-running research tasks, getting a high-quality answer typically meant using a bigger model with extended
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AISI and EvalEval have previously collaborated on research that began at a joint workshop alongside NeurIPS 2025, and feedback from the Institute has helped shape the Every Eval Ever (EEE) schema. This next phase of the collaboration puts that shared infrastructure into practice. As AI deployment accelerates, evaluations are becoming increasingly important sources of evidence about model and system performance. Yet results are reported across many formats, platforms, and outlets, often without enough information to reproduce them. Running the evaluations again may itself be prohibitively expensive. EvalEval's mission is to…
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Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." Let’s agree at the outset the world is a complicated place, and social scientists have exacting jobs when it comes to measuring civic phenomena with precision. After…
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César de la Fuente and his lab probe the genomes of living and extinct organisms for molecules that could help fight drug-resistant infections. Drug-resistant microbes including bacteria, fungi, parasites, and viruses are a growing global threat. About five million deaths in 2021 were associated with bacterial antimicrobial resistance—an annual toll projected to roughly double by 2050. It can take years to find molecules with the potential to become antimicrobials. Researchers are using AI to accelerate this early stage of discovery. “Antimicrobial resistance is one of the greatest existential threats to…
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OpenAI is committing $5 million to support independent research on how generative AI affects the lives and development of young people ages 13–17. OpenAI is committing $5 million to support independent research on how generative AI affects the lives and development of young people ages 13–17. Generative AI is becoming part of how teens learn, create, and seek advice. Its effects are likely to be nuanced. They may depend on what teens use AI for, how they engage with it, their individual circumstances, and the support available from families, schools,…
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For AGI to benefit all of humanity, we believe it must be democratically governed. This can only happen through an informed public debate about the capabilities, risks and safeguards of highly capable AI systems. People everywhere need to understand the likely future trajectory of frontier AI, so they can have a meaningful voice in how it develops. Transparency about specific risks, incidents and safeguards is necessary, but not sufficient. We believe the public also needs to understand how the most capable systems are developing, and how they are driving research…
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Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the programming languages designed to help scientists and…
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