ChatGPT Maker OpenAI Ousts CEO Sam Altman

OpenAI CEO Sam Altman participates in a discussion entitled "Charting the Path Forward: The Future of Artificial Intelligence" during the Asia-Pacific Economic Cooperation (APEC) CEO Summit, Thursday, Nov. 16, 2023, in San Francisco. (AP)
OpenAI CEO Sam Altman participates in a discussion entitled "Charting the Path Forward: The Future of Artificial Intelligence" during the Asia-Pacific Economic Cooperation (APEC) CEO Summit, Thursday, Nov. 16, 2023, in San Francisco. (AP)
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ChatGPT Maker OpenAI Ousts CEO Sam Altman

OpenAI CEO Sam Altman participates in a discussion entitled "Charting the Path Forward: The Future of Artificial Intelligence" during the Asia-Pacific Economic Cooperation (APEC) CEO Summit, Thursday, Nov. 16, 2023, in San Francisco. (AP)
OpenAI CEO Sam Altman participates in a discussion entitled "Charting the Path Forward: The Future of Artificial Intelligence" during the Asia-Pacific Economic Cooperation (APEC) CEO Summit, Thursday, Nov. 16, 2023, in San Francisco. (AP)

The board of the company behind ChatGPT on Friday fired OpenAI CEO Sam Altman - to many, the human face of generative AI - sending shock waves across the tech industry.

OpenAI's Chief Technology Officer Mira Murati will serve as interim CEO, the company said, adding that it will conduct a formal search for a permanent CEO.

"Altman's departure follows a deliberative review process by the board, which concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities," OpenAI said in the blog without elaborating.

Greg Brockman, OpenAI president and co-founder, who stepped down from the board as chairman as part of the management shuffle, quit the company, he announced on messaging platform X late on Friday. "Based on today's news, i quit," he wrote.

The departures blindsided many employees who discovered the abrupt management change from an internal message and the company's public facing blog. It came as a surprise to Altman and Brockman as well, who learned the board's decision within minutes of the announcement, Brockman said.

"We too are still trying to figure out exactly what happened," he posted on X, formerly Twitter, adding, "We will be fine. Greater things coming soon."

The now four-person board consists of three independent directors holding no equity in OpenAI and its Chief Scientist Ilya Sutskever. The organization did not immediately answer a request for comment on Brockman's claims.

Backed by billions of dollars from Microsoft, which does not have a board seat in the non-profit governing the startup, OpenAI kicked off the generative AI craze last November by releasing ChatGPT. The chatbot became one of the world's fastest-growing software applications.

Trained on reams of data, generative AI can create human-like content, helping users spin up term papers, complete science homework and even write entire novels. After ChatGPT's launch, regulators scrambled to catch up: the European Union revised its AI Act and the US kicked off AI regulation efforts.

Altman, who ran Y Combinator, is a serial entrepreneur and investor. He was the face of OpenAI and the wildly popular generative AI technology as he toured the world this year.

Altman posted on X shortly after OpenAI published its blog: "i loved my time at openai. it was transformative for me personally, and hopefully the world a little bit. most of all i loved working with such talented people. will have more to say about what’s next later."

Altman did not respond to requests for comment.

Murati, who has worked for Tesla, joined OpenAI in 2018 and later became chief technology officer. She oversaw product launches including that of ChatGPT.

At an emergency all-hands meeting on Friday afternoon after the announcement, Murati sought to calm employees and said OpenAI's partnership with Microsoft is stable and its backer's executives, including CEO Satya Nadella, continue to express confidence in the startup, a person familiar with the matter told Reuters.

The Information previously reported details of the meeting.

"Microsoft remains committed to Mira and their team as we bring this next era of AI to our customers," a spokesperson for the software maker told Reuters on Friday.

In a statement published on Microsoft's website, Nadella said: "We have a long-term agreement with OpenAI... Together, we will continue to deliver the meaningful benefits of this technology to the world."

Earthquake

The shakeup is not the first at OpenAI, launched in 2015. Tesla CEO Elon Musk once was its co-chair, and in 2020 other executives departed, going on to found competitor Anthropic, which has claimed it has a greater focus on AI safety.

Well wishers and critics piled onto digital forums as news of the latest shuffle spread.

On X, former Google CEO Eric Schmidt called Altman "a hero of mine," adding, "He built a company from nothing to $90 Billion in value, and changed our collective world forever. I can't wait to see what he does next. I, and billions of people, will benefit from his future work- it's going to be simply incredible."

"This is a shocker and Altman was a key ingredient in the recipe for success of OpenAI," said Daniel Ives, an analyst at Wedbush Securities. "That said, we believe Microsoft and Nadella will exert more control at OpenAI going forward with Altman gone."

The full impact of the OpenAI surprise will unfold over time, but its fundraising prospects were an immediate concern. Altman was considered a master fundraiser who managed to negotiate billions of dollars in investment from Microsoft as well as having led the company's tender offer transactions this year that fueled OpenAI's valuation from $29 billion to over $80 billion.

"In the short term it will impair OpenAI's ability to raise more capital. In the intermediate term it will be a non-issue," said Thomas Hayes, chairman at hedge fund Great Hill Capital.

Other analysts said Altman's departure, while disruptive, would not derail generative AI's popularity or OpenAI or Microsoft's competitive advantage.

"The innovation created by OpenAI is bigger than any one or two people, and there is no reason to think this would cause OpenAI to cede its leadership position," said D.A. Davidson analyst Gil Luria. "If nothing else, Microsoft's stake and significant interest in OpenAI's progress ensure the appropriate leadership changes are being implemented."

As late as Thursday evening, Altman showed no signs of concern at two public events. He joined colleagues in a panel on the sidelines of the Asia-Pacific Economic Cooperation (APEC) conference in San Francisco, describing his commitment and vision for AI.

Later he spoke at a Burning Man-related event in Oakland, California, engaging in an hour-long conversation on the topic of art and AI. Altman seemed relaxed and gave no indication anything was wrong, but left right after his talk was over at 7:30 p.m.

The event organizer said at the event that Altman had another meeting to attend.



Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
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Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson

Shares in Meta skyrocketed by 10 percent at opening on Wall Street on Thursday, a day after the social media giant posted better than expected earnings as the company invests heavily in artificial intelligence.

Microsoft, whose earnings disappointed analysts, saw its share price tumble by 10 percent, with investors showing concern for the return on investment for the software giant's spending on AI.


Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
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Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File

South Korean tech giant Samsung Electronics posted record quarterly profits Thursday, riding massive market demand for the memory chips that power artificial intelligence.

A global frenzy to build AI data centers and develop the fast-evolving technology has sent orders for advanced high bandwidth memory microchips soaring.

That is also pushing up prices for less flashy chips used in consumer electronics -- threatening higher prices for phones, laptops and other devices worldwide.

In the quarter to December 2025, Samsung said it saw "its highest-ever quarterly consolidated revenue at KRW 93.8 trillion (US$65.5 billion)", a quarter-on-quarter increase of nine percent.

"Operating profit was also an all-time high, at KRW 20.1 trillion," the company said.

The dazzling earnings came a day after a key competitor, South Korean chip giant SK hynix, said operating profit had doubled last year to a record high, also buoyed by the AI boom.

The South Korean government has pledged to become one of the top three AI powers, behind the United States and China, with Samsung and SK hynix among the leading producers of high-performance memory.

Samsung said Thursday it expects "AI and server demand to continue increasing, leading to more opportunities for structural growth".

Annual revenue stood at 333.6 trillion won, while operating profit came in at 43.6 trillion won. Sales for the division that oversees its semiconductor business rose 33 percent quarter-on-quarter.

The company pointed to a $33.2 billion investment in chip production facilities -- pledging to continue spending in "transitioning to advanced manufacturing processes and upgrading existing production lines to meet rising demand".

- 'Clearly back' -

Major electronics manufacturers and industry analysts have warned that chipmakers focusing on AI sales will cause higher retail prices for consumer products across the board.

This week US chip firm Micron said it was building a $24 billion plant in Singapore in response to AI-driven demand that has caused a global shortage of memory components.

SK hynix announced Wednesday that its operating profit had doubled last year to a record 47.2 trillion won.

The company's shares have surged some 220 percent over the past six months, while Samsung Electronics has risen about 130 percent, part of a huge global tech rally fueled by optimism over AI.

Both companies are on the cusp of producing next-generation high-bandwidth "HBM4" chips for AI data centers, with Samsung reportedly due to start making them in February.

American chip giant Nvidia -- now the world's most valuable company -- is expected to be one of Samsung's customers for HBM4 chips.

But Nvidia has reportedly allocated around 70 percent of its HBM4 demand to SK hynix for 2026, up from the market's previous estimate of 50 percent.

"Samsung is clearly back and we are expecting them to show a significant turnaround with HBM4 for Nvidia's new products -- helping them move past last year's quality issues," Hwang Min-seong, research director at market analysis firm Counterpoint, told AFP.

But SK still "maintains a market lead in both quality and supply" of a number of key components, including Dynamic Random Access Memory chips used in AI servers, he said.

SK also this week said it will set up an "AI solutions firm" in the United States, committing $10 billion and weighing investments in US companies.


Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
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Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome -- and could one day lead to new treatments for diseases.

The deep learning model AlphaGenome was hailed by outside researchers as a "breakthrough" that would let scientists study and even simulate the roots of difficult-to-treat genetic diseases.

While the first complete map of the human genome in 2003 "gave us the book of life, reading it remained a challenge", Pushmeet Kohli, vice president of research at Google DeepMind, told journalists.

"We have the text," he said, which is a sequence of three billion nucleotide pairs represented by the letters A, T, C and G that make up DNA.

However, "understanding the grammar of this genome -- what is encoded in our DNA and how it governs life -- is the next critical frontier for research," said Kohli, co-author of a new study in the journal Nature.

Only around two percent of our DNA contains instructions for making proteins, which are the molecules that build and run the body.

The other 98 percent was long dismissed as "junk DNA" as scientists struggled to understand what it was for.

However, this "non-coding DNA" is now believed to act like a conductor, directing how genetic information works in each of our cells.

These sequences also contain many variants that have been associated with diseases. It is these sequences that AlphaGenome is aiming to understand.

- A million letters -

The project is just one part of Google's AI-powered scientific work, which also includes AlphaFold, the winner of 2024's chemistry Nobel.

AlphaGenome's model was trained on data from public projects that measured non-coding DNA across hundreds of different cell and tissue types in humans and mice.

The tool is able to analyze long DNA sequences then predict how each nucleotide pair will influence different biological processes within the cell.

This includes whether genes start and stop and how much RNA -- molecules which transmit genetic instructions inside cells -- is produced.

Other models already exist that have a similar aim. However, they have to compromise, either by analyzing far shorter DNA sequences or decreasing how detailed their predictions are, known as resolution.

DeepMind scientist and lead study author Ziga Avsec said that long sequences -- up to a million DNA letters long -- were "required to understand the full regulatory environment of a single gene".

And the high resolution of the model allows scientists to study the impact of genetic variants by comparing the differences between mutated and non-mutated sequences.

"AlphaGenome can accelerate our understanding of the genome by helping to map where the functional elements are and what their roles are on a molecular level," study co-author Natasha Latysheva said.

The model has already been tested by 3,000 scientists across 160 countries and is open for anyone to use for non-commercial reasons, Google said.

"We hope researchers will extend it with more data," Kohli added.

- 'Breakthrough' -

Ben Lehner, a researcher at Cambridge University who was not involved in developing AlphaGenome but did test it, said the model "does indeed perform very well".

"Identifying the precise differences in our genomes that make us more or less likely to develop thousands of diseases is a key step towards developing better therapeutics," he explained.

However, AlphaGenome "is far from perfect and there is still a lot of work to do", he added.

"AI models are only as good as the data used to train them" and the existing data is not very suitable, he said.

Robert Goldstone, head of genomics at the UK's Francis Crick Institute, cautioned that AlphaGenome was "not a magic bullet for all biological questions".

This was partly because "gene expression is influenced by complex environmental factors that the model cannot see", he said.

However, the tool still represented a "breakthrough" that would allow scientists to "study and simulate the genetic roots of complex disease", Goldstone added.