Mark Zuckerberg, AI's 'Open Source' Evangelist

FILE PHOTO: Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol, in Washington, US, January 31, 2024. REUTERS/Nathan Howard/File Photo
FILE PHOTO: Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol, in Washington, US, January 31, 2024. REUTERS/Nathan Howard/File Photo
TT

Mark Zuckerberg, AI's 'Open Source' Evangelist

FILE PHOTO: Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol, in Washington, US, January 31, 2024. REUTERS/Nathan Howard/File Photo
FILE PHOTO: Meta's CEO Mark Zuckerberg testifies during the Senate Judiciary Committee hearing on online child sexual exploitation at the US Capitol, in Washington, US, January 31, 2024. REUTERS/Nathan Howard/File Photo

Mark Zuckerberg, the founder of Facebook and CEO of Meta, has become an unexpected evangelist for open source technology when it comes to developing artificial intelligence, pitting him against OpenAI and Google.
The 40-year-old tech tycoon laid out his vision in an open letter titled "Open Source AI is the Path Forward" this week. Here is what you need to know about the open versus closed model AI debate, said Agence France Presse.
What is 'open source'?
The history of computer technology has long pitted open source aficionados against companies clinging to their intellectual property.
"Open source" refers to software development where the program code is made freely available to the public, allowing developers to tinker and build on it as they wish.
Many of the internet's foundational technologies, such as the Linux operating system and the Apache web server, are products of open source development.
However, open source is not without challenges. Maintaining large projects, ensuring consistent quality, and managing a wide range of contributors can be complex.
Finally, almost by definition, keeping open source projects financially sustainable is a challenge.
Why is Meta AI 'open source'?
Zuckerberg is probably the last person you would expect to embrace open source.
The company maintains total control over its Instagram and Facebook platforms, leaving little to no leeway for outside developers or researchers to tinker around.
The Cambridge Analytica scandal, in which an outside vendor was revealed in 2018 to be using the platform to gather user information for nefarious practices, only made the company more protective.
Meta's sudden embrace of the open source ethos is driven by its bitterness towards Apple, whose iPhone rules keep a tight control on what Meta and all outside apps can do on their devices.
"One of my formative experiences has been building our services constrained by what Apple will let us build on their platforms," Zuckerberg said.
“Between the way they tax developers, the arbitrary rules they apply, and all the product innovations they block from shipping, it's clear that Meta and many other companies would be freed up if...competitors were not able to constrain what we could build,” he wrote.
That concern has now spread to generative AI, but this time it is Microsoft-backed OpenAI and Google that are the closed-fence culprits that charge developers and keep a tight lid on their AI technology.
Doubters argue that Meta is embracing open source because it came late to the AI party, and is seeking to blow open the field with free access to a powerful model.
What is Llama?
Meta's open source LLaMA 3.1 (for Large Language Model Meta AI) is the company’s latest version of its generative AI technology that can spew out human standard content in just seconds.
Performance-wise, it can be compared to OpenAI’s GPT-4 or Google’s Gemini, and like those models is "trained" before deployment by ingesting data from the internet.
But unlike those models, developers can access the technology for free, and make adaptations as they see fit for their specific use cases.
Meta says that LLaMA 3.1 is as good as the best models out there, but unlike its main rivals, it only deals with text, with the company saying it will later match the others with images, audio and video.
Security threat
In the rivalry over generative AI, defenders of the closed model argue that the Meta way is dangerous, as it allows bad actors to weaponize the powerful technology.
In Washington, lobbyists argue over the distinction, with opponents to open source insisting that models like Llama can be weaponized by countries like China.
Meta argues that transparency assures a more level playing field and that a world of closed models will ensure that only a few big companies, and a powerhouse nation like China, will be in control.
Startups, universities, and small businesses will "miss out on opportunities," Zuckerberg said.



AI to Track Icebergs Adrift at Sea in Boon for Science

© Jonathan NACKSTRAND / AFP
© Jonathan NACKSTRAND / AFP
TT

AI to Track Icebergs Adrift at Sea in Boon for Science

© Jonathan NACKSTRAND / AFP
© Jonathan NACKSTRAND / AFP

British scientists said Thursday that a world-first AI tool to catalogue and track icebergs as they break apart into smaller chunks could fill a "major blind spot" in predicting climate change.

Icebergs release enormous volumes of freshwater when they melt on the open water, affecting global climate patterns and altering ocean currents and ecosystems, reported AFP.

But scientists have long struggled to keep track of these floating behemoths once they break into thousands of smaller chunks, their fate and impact on the climate largely lost to the seas.

To fill in the gap, the British Antarctic Survey has developed an AI system that automatically identifies and names individual icebergs at birth and tracks their sometimes decades-long journey to a watery grave.

Using satellite images, the tool captures the distinct shape of icebergs as they break off -- or calve -- from glaciers and ice sheets on land.

As they disintegrate over time, the machine performs a giant puzzle problem, linking the smaller "child" fragments back to the "parent" and creating detailed family trees never before possible at this scale.

It represents a huge improvement on existing methods, where scientists pore over satellite images to visually identify and track only the largest icebergs one by one.

The AI system, which was tested using satellite observations over Greenland, provides "vital new information" for scientists and improves predictions about the future climate, said the British Antarctic Survey.

Knowing where these giant slabs of freshwater were melting into the ocean was especially crucial with ice loss expected to increase in a warming world, it added.

"What's exciting is that this finally gives us the observations we've been missing," Ben Evans, a machine learning expert at the British Antarctic Survey, said in a statement.

"We've gone from tracking a few famous icebergs to building full family trees. For the first time, we can see where each fragment came from, where it goes and why that matters for the climate."

This use of AI could also be adapted to aid safe passage for navigators through treacherous polar regions littered by icebergs.

Iceberg calving is a natural process. But scientists say the rate at which they were being lost from Antarctica is increasing, probably because of human-induced climate change.

 


AMD Predicts Weaker First-Quarter Sales, Shares Plunge on Nvidia Comparisons

An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
TT

AMD Predicts Weaker First-Quarter Sales, Shares Plunge on Nvidia Comparisons

An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)

Advanced Micro Devices on Tuesday forecast a slight decline in quarterly revenue, raising concerns about whether it ​can effectively challenge Nvidia in the booming AI market and sending its shares tumbling 8% in after-hours trade.

The lackluster prediction comes despite an unexpected boost from sales of certain artificial intelligence chips to China, which began in the last quarter after the Trump administration approved a license for orders that AMD received in early 2025.

And without those sales to China which generated $390 million, AMD's data-center segment would have missed estimates for the fourth quarter.

AMD said it expects revenue of about $9.8 billion this quarter, plus or minus $300 million. That's down from $10.27 billion in the fourth-quarter which was up 34% year-on-year and ahead of LSEG ‌estimates for $9.67 billion.

PALES ‌NEXT TO NVIDIA

Though AMD is seen as one of the ‌few ⁠contenders ​that can seriously ‌challenge Nvidia, investors noted the stark contrast between the two companies' performances. AMD expects an adjusted gross margin of 55% this quarter. Nvidia has said it expects adjusted gross margin in the mid-70% range during its fiscal 2027.

"The expectations for large blowout quarters for AI-related hardware companies have skewed what the market is looking for," said Bob O'Donnell, president of TECHnalysis Research.

The forecast for the current first quarter includes $100 million from sales to China, where the situation remains "dynamic," AMD CEO Lisa Su said on a conference call with investors.

The US government ⁠has placed restrictions on the exports of advanced chips to China, but AMD received licenses to sell modified versions of its MI300 series ‌of AI chips there. Its MI308 chip competes with Nvidia's H20 ‍chip in China.

OPENAI SALES

AMD has accelerated its ‍product launches and is moving into selling full AI systems to better compete against Nvidia, which now ‍provides "rack-scale" systems that combine GPUs, CPUs and networking gear.

Last year, it entered into a multi-year deal to supply AI chips to ChatGPT-owner OpenAI, which would bring in tens of billions of dollars in annual revenue and give the startup the option to buy up to roughly 10% of the chipmaker.

Su reiterated on Tuesday that the company ​expects sales of a new flagship AI server to OpenAI and others to rise rapidly in the second half of this year, saying a global memory-chip crunch will not ⁠slow its plans.

"I do not believe that we will be supply-limited in terms of the ramp that we put in place," Su said.

BEYOND OPENAI

As Big Tech and governments across the globe double down on investing in AI hardware, shares in Santa Clara, California-based AMD have doubled since the start of 2025, outperforming a 60% bump in the broader chip index.

But analysts remain concerned that AMD's success remains tied to a handful of customers that rivals such as Nvidia could try to poach. Reuters reported this week that Nvidia made a $20 billion move to hire most of chip startup Groq's founders after OpenAI held chip supply discussions with the startup.

"Growth appears concentrated in large deployments and specific regions, and China shipments are significant enough to influence a quarter," said eMarketer analyst Gadjo Sevilla.

Revenue in AMD's key data-center segment grew 39% to $5.38 billion in the ‌fourth quarter. But excluding sales of the MI308, which is a data-center chip, that revenue would have been $4.99 billion, below estimates of $5.07 billion.


Switch 2 Sales Boost Nintendo Results but Chip Shortage Looms

This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
TT

Switch 2 Sales Boost Nintendo Results but Chip Shortage Looms

This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)

The runaway success of the Switch 2 console drove up Nintendo's net profit by more than 50 percent in the nine months to December, the Japanese video game giant said Tuesday.

But a global memory chip shortage, created by frenzied demand for artificial intelligence hardware, could push up manufacturing costs.

The Switch 2 became the world's fastest-selling games console after launching to a fan frenzy last summer.

It is the successor to the original Switch, which soared in popularity during the pandemic when games such as "Animal Crossing" struck a chord during long lockdowns.

Both are hybrid devices that can be connected to a TV or used on-the-go.

In April-December, net profit jumped 51.3 percent year-on-year to 358.9 billion yen ($2.3 billion), and revenue nearly doubled on-year to 1.9 trillion yen, Nintendo said.

But the firm kept its annual unit sales target for the Switch 2 steady at 19 million, and also held its full-year net profit forecast of 350 billion yen.

"Nintendo Switch 2 got off to a good start following its launch on June 5 and unit sales continued to grow through the holiday season," the company said.

Nearly 17.4 million Switch 2 devices were sold in the nine-month period, it added.

"Maintaining momentum is certainly a big focus for Nintendo," Krysta Yang of the Nintendo-focused Kit and Krysta Podcast told AFP.

A lack of heavy-hitting first-party new games for the Switch 2 in coming months risks hindering growth, although third-party titles such as "Resident Evil Requiem" should help fill the gap, she said.

Nintendo said Tuesday it planned to release "Mario Tennis Fever" this month and "Pokemon Pokopia" in March.

While the firm is diversifying into hit movies and theme parks, consoles remain the core of its business.

The Switch 1 has now sold 155.37 million units -- overtaking the Nintendo DS console to be its best-selling hardware of all time.

But soaring prices for memory chips, used in gaming consoles as well as phones, laptops and other electronics, will likely be a headwind for the company.

Their prices have been pushed up as chipmakers focus on producing the advanced memory chips in huge demand to power AI data centers.

"Nintendo and other console manufacturers are publicly keeping quiet about the impact of the shortage," gaming industry consultant Serkan Toto told AFP.

But "users can forget the past when consoles always became cheaper in tandem with component costs falling over time", with price hikes potentially on the way in 2026, he said.

Yang said she thought a price increase for the Switch 2 "is not out of the question" but added that Nintendo "would likely exhaust all other options" before doing so.