OpenAI’s work drew questions from Tristan Buckmaster, a professor of mathematics at New York University, however.
In a statement on his website, Buckmaster explained that he had been working with fellow mathematician Levent Alpöge, who works at OpenAI rival Anthropic, in a “personal collaboration” on math problems including Navier–Stokes.
He said Alpöge received “tips” that information about the pair’s progress had been passed to OpenAI. He said the tech giant’s route to the solution was similar to their own work, which is “not the direction one arrives at in a few days by giving a model the problem statement.”
Buckmaster also raised questions over whether OpenAI models had been trained on, or had access to, their sessions in OpenAI’s Codex. He said the mathematicians had used several large language models as part of their work.
“I would like to be clear about what I am not claiming. I have not seen OpenAI’s proof. I do not know what their model did, or how. I do not know whether our data was used,” Buckmaster added.
In its statement, OpenAI said its effort to solve the Navier–Stokes mathematics problem began on Sept. 1 after “hearing a rumor” about progress on the puzzle that it later found out related to Alpöge and Buckmaster.
AI infrastructure stocks rally on deal announcements from Qualcomm, Corning
All of those companies have been massive winners for investors this year, with HPE and AMD more than doubling in value and Intel almost tripling, as the artificial infrastructure buildout expands to companies beyond Nvidia
.
Corning, the glassmaker whose fiber-optic technology is becoming a key piece of AI data centers, jumped 8% on Tuesday bringing its gain for the year to 90%. The company said it’s entering into a multibillion-dollar partnership with Verizon to build fiber-optic cables for AI connectivity. –
In June, Corning struck a multibillion-dollar deal with Amazon, a month after Nvidia
promised to invest up to $3.2 billion in the company to build three new fiber-optic manufacturing facilities in North Carolina and Texas.
Meanwhile, Qualcomm said in a filing on Tuesday that it issued warrants to Amazon, allowing the cloud giant to acquire up to $4 billion worth of stock in the chipmaker. It’s part of a pact between the two companies to build out AI infrastructure, with Amazon Web Services purchasing up to $60 billion worth of Qualcomm’s server chips and other technology.
Qualcomm CFO Akash Palkhiwala said on Tuesday at the Goldman Sachs Communacopia + Technology Conference in San Francisco that revenue from manufacturing chips for Amazon will start to be realized n the December quarter, and will be one of the “core components” in helping the company meet its $15 billion data center revenue target for fiscal 2029.
At its investor day in June, Qualcomm said it was working with two unnamed data center companies. One of those was Amazon. Palkhiwala said Tuesday that the company is “similarly proceeding with the other data center customer.”
Millennium Prize Problems
The Clay Mathematics Institute established the Prize Problems in 2000, putting up a $1 million prize for the solution of each problem.
“The Prizes were conceived … to elevate in the consciousness of the general public the fact that in mathematics, the frontier is still open and abounds in important unsolved problems; to emphasize the importance of working towards a solution of the deepest, most difficult problems; and to recognize achievement in mathematics of historical magnitude,” the institute says on its website.
Other problems include the Birch and Swinnerton-Dyer Conjecture, which relates to elliptic curves, and the Riemann Hypothesis, which relates to prime numbers.
Australia targets algorithmic social feeds as it looks to hit Big Tech harder
Australia plans to give social media users the ability to switch off algorithm-based feeds in proposed legislation, making the latest move by governments and regulators to rein in Big Tech this year.
Prime Minister Anthony Albanese’s government said Tuesday that it’s proposing the “My Feed, My Way” initiative, which would force social media platforms to allow users over the age of 16 to either opt into having a feed that recommends personalized content by an algorithm or “opt out,” so they can only see content from friends and creators they choose to follow.
The legislation, which is being drafted and released Tuesday for targeted consultation, would require platforms to send notifications to new and existing users so they can choose their default feed. Social media companies that fail to comply could face penalties of up to 109.2 million Australian dollars ($79 million).
The measures, set to be introduced to the Parliament of Australia this year, will also require AI chatbots, online games and other digital services to take action to protect under-18s from addictive design features.
“This is not about giving government control. It’s about giving people control. It’s about putting choice back into the hands of Australians online,” Albanese said at a press conference on Tuesday regarding the proposed law.
Mistral bags $24 billion valuation as Samsung leads funding for Europe’s AI champion
Mistral on Tuesday said it raised 3 billion euros ($3.5 billion) in fresh funding led by memory chip giant Samsung, as the French startup looks to position itself as a European alternative to rivals like OpenAI and Anthropic.
The investment also involved the Scaleup Europe Fund, a European Union-backed investment fund managed by EQT, and existing investor PSG Equity. Mistral said the funding gives it a post-money valuation of more than 21 billion euros.
Mistral was valued at 11.7 billion euros a year ago, after a funding round led by Dutch chip equipment maker ASML
.
Arthur Mensch, CEO of Mistral, told CNBC in an interview that the funding would go toward building more infrastructure, including its own data centers, and renting out computing capacity.
“Long term, the plan is to fully rely on capacity that we are building ourselves, and so that means that the amount of compute that we own is going to grow … around 100% in the next five years,” Mensch said.
Google starts September with AI momentum after longest monthly losing streak in over a decade
After wrapping up its longest monthly losing streak on Wall Street in more than a decade, Google
has started September by giving investors several reasons for optimism.
The company on Wednesday launched Gemini 3.8 Flash, its third Flash model in six weeks, alongside a new cybersecurity model aimed at trusted government and enterprise customers. Berkshire Hathaway
CEO Greg Abel also offered a public vote of confidence for Alphabet’s AI position.
Meanwhile, a federal judge on Wednesday rejected the Justice Department’s push to force Google to sell its ad exchange, another victory for the company against the government’s antitrust efforts.
Taken together, the developments offer a more constructive setup for Alphabet after a difficult summer, when Google lost some of its momentum in the AI model race, saw high-profile talent departures, and underwent a major restructuring inside DeepMind.