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.



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.