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
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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.



China Approves First Two Level-3 Autonomous Driving Cars from State-owned Automakers

People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
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China Approves First Two Level-3 Autonomous Driving Cars from State-owned Automakers

People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)
People pass by the entrance to Volkswagen (China) Technology Company, a 3 billion euros ($3.5 billion) R&D center in Hefei in eastern China's Anhui province, on Feb. 25, 2025. (AP Photo/Ken Moritsugu)

China's industry regulator on Monday approved two Chinese cars with level-3 autonomous driving capabilities, marking the first time such vehicles have been cleared by the national regulator as legitimate products ready for mass adoption.

The Ministry of Industry and Information Technology approved the two electric sedans from state-owned automakers Changan Auto and BAIC Motor in its latest automobile product entry category, said Reuters.

The two models are allowed to activate conditional autonomous driving in designated areas of Chongqing and Beijing with speed limits of 50km/h and 80km/h, respectively, the ministry said in a statement. The automakers will conduct trial operation with the cars on the specific roads via their ride-hailing units, it added.

The auto industry has defined five levels of autonomous driving, from cruise control at level one to fully self-driving cars at level five, and level three allows drivers to take their eyes and hands off the road in certain situations.

The move underscored China's ambition to lead the development and adoption of autonomous driving, a technology poised to disrupt the auto industry globally. Last year, China lined up nine automakers for public tests to advance the adoption of self-driving cars.

Chinese regulators earlier this year had sharpened scrutiny of the assisted driving technologies following an accident involving a Xiaomi SU7 sedan in March. That incident killed three occupants when their car crashed seconds after the driver took control from the assisted-driving system.

But government officials are pressing Chinese automakers to rapidly deploy even more advanced systems. In their level-3 push, Chinese regulators also are upping the regulatory ante by holding automakers and parts suppliers liable if their systems fail and cause an accident.

Autonomous driving developers such as Pony AI and WeRide have been testing their level-4 cars with licenses granted by local governments across China.

Tesla's Full Self-Driving, a level-2 driver assistance system, has been partially approved in China since February and falls short of its capabilities in the United States.


Elm Company Named Strategic Partner for International Data and AI Conference

Elm Company Named Strategic Partner for International Data and AI Conference
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Elm Company Named Strategic Partner for International Data and AI Conference

Elm Company Named Strategic Partner for International Data and AI Conference

The Saudi Data and Artificial Intelligence Authority (SDAIA) announced a strategic partnership with Elm Company for the International Conference on Data and AI Capacity Building (ICAN 2026), enhancing collaboration to empower the data and artificial intelligence ecosystem and promote innovation in education and human capacity development.

This partnership comes as part of preparations for ICAN 2026, organized by SDAIA from January 28 to 29 at King Saud University in Riyadh, with the participation of a select group of specialists and experts from around the world, SPA reported.

The step represents a qualitative addition that contributes to enriching the conference’s knowledge content and expanding partnerships with leading national entities.

Elm Company brings extensive experience in designing digital solutions and building technical capabilities, reinforcing its role as a strategic partner in supporting the conference. It contributes by developing training tracks and digital empowerment programs, participating in the technology exhibition, and presenting qualitative initiatives that help empower national competencies in the fields of data and artificial intelligence.


Foxconn to Invest $510 Million in Kaohsiung Headquarters in Taiwan

Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
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Foxconn to Invest $510 Million in Kaohsiung Headquarters in Taiwan

Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters
Construction is scheduled to start in 2027, with completion targeted for 2033. Reuters

Foxconn, the world’s largest contract electronics maker, said on Friday it will invest T$15.9 billion ($509.94 million) to build its Kaohsiung headquarters in southern Taiwan.

That would include a mixed-use commercial and office building and a residential tower, it said. Construction is scheduled to start in 2027, with completion targeted for 2033.

Foxconn said the headquarters will serve as an important hub linking its operations across southern Taiwan, and once completed will house its smart-city team, software R&D teams, battery-cell R&D teams, EV technology development center and AI application software teams.

The Kaohsiung city government said Foxconn’s investments in the city have totaled T$25 billion ($801.8 million) over the past three years.