Sam Altman says OpenAI won't slow its math and science paper barrage

Date:
Sat, 31 Oct 2026 01:00:00 +0000

Description:
OpenAIs scientific breakthroughs are really cool and terrible at the same time, scientists say.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter OpenAI will keep pushing AIs scientific discoveries, Sam Altman says Some researchers are excited by the fantastic breakthroughs But others warn that the pace of change is psychologically taxing One of the promises that huge AI companies like OpenAI and Anthropic have made is that their machine learning models will help to solve some of the oldest problems in math and science. The pace of their discoveries has left many experts struggling to keep up, but OpenAIs Sam Altman just has just said theres much more in store and not everyone is
happy about that.

Speaking on the Cheeky Pint podcast , Altman outlined his belief that
Humanity deserves fundamental knowledge, and we should not be sitting on a major fundamental science discovery. That rationale is why OpenAI has published breakthrough after breakthrough in these fields, knocking down some of the oldest and toughest problems that have troubled great thinkers for years. But the way in which the company has set out its results has drawn criticism for often inadequate attributions and questionable verification processes. Latest Videos From TechRadar Watch full video here:

While Altman acknowledged that, saying on the podcast that I do have empathy for the method and saying OpenAIs quest for mathematical challenges did get out of control at times, he suggested that theres much more to come. Asked if the firm has anymore unpublished breakthroughs in its vaults, he replied We do. Of course.

Thats led to accusations that, far from giving people fundamental knowledge, OpenAI is gatekeeping important discoveries. And theres another problem: the sheer scale of the new research is swamping academics. For instance, Wired
has noted that the company recently dumped 722 manuscripts on 400 problems on GitHub, leaving the scientific community to pick through the enormous mass of information. You may like OpenAI CEO Sam Altman is worried about AI being controlled by just a few powerful players OpenAI CEO Sam Altman says the
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And the impact of having the most important work in your life suddenly undercut by a machine is psychologically taxing for many people, said Thore Husfeldt of the IT University of Copenhagen. Husfeldt added that there is a lot of doom and gloom, because every week, or every second week, the results announced by AI just annihilate the ongoing research projects of many people. Obliterating entire fields of research (Image credit: Shutterstock) AI models ability to solve thorny problems was keenly demonstrated when it apparently disproved the exponential time hypothesis (ETH), which argued that the effort needed to solve a problem increases with its complexity. Thats upended countless theories that assumed that ETH was correct and left many experts scrambling to catch up. Get daily insight, inspiration and deals in your
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As Linkping University professor Peter Jonsson told Wired, although AIs tendency to undermine years-long research can be irksome, at the same time,
we learn a lot from it. And this is what science is about.

UC Santa Barbara professor Daniel Lokshtanov aptly described the mood among many scientists and mathematicians, saying Its just a giant bomb dropped into the middle of the field, he says. Its really cool and terrible at the same time.

For Husfeldt, meanwhile, the discovery is fantastic. He added: Being a mathematician is a lot like stumbling about in a completely dark room. Its like somebody just illuminated an entire subfield in floodlights of
knowledge, and now we just run around like overexcited bunnies and look at
all the nooks and crannies that we can suddenly explore. So its a super exciting time.

In the case of the ETH theory, OpenAIs work has not been peer reviewed or independently verified. But its clear that AI research is creating generational changes in many areas and overturning entire fields of study in an instant, with all the excitement and chaos that comes with that.

Jonsson fittingly summed the situation up, saying: I dont care if its a human-written proof, or its written by AI, or if an alien transmitted this proof to us. If its true, then we must simply use it in the future. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. The best laptops for all budgets
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