Tech Firms Remove Social Media Accounts of a Russian Drone Factory after an AP Investigation

Parts of downed Shahed drones launched by Russia are piled in a storage room of a research laboratory in Kyiv, Ukraine, on Aug. 28, 2024. (AP Photo/Evgeniy Maloletka)
Parts of downed Shahed drones launched by Russia are piled in a storage room of a research laboratory in Kyiv, Ukraine, on Aug. 28, 2024. (AP Photo/Evgeniy Maloletka)
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Tech Firms Remove Social Media Accounts of a Russian Drone Factory after an AP Investigation

Parts of downed Shahed drones launched by Russia are piled in a storage room of a research laboratory in Kyiv, Ukraine, on Aug. 28, 2024. (AP Photo/Evgeniy Maloletka)
Parts of downed Shahed drones launched by Russia are piled in a storage room of a research laboratory in Kyiv, Ukraine, on Aug. 28, 2024. (AP Photo/Evgeniy Maloletka)

Google, Meta and TikTok have removed social media accounts belonging to an industrial plant in Russia's Tatarstan region aimed at recruiting young foreign women to make drones for Moscow's war in Ukraine.
Posts on YouTube, Facebook, Instagram and TikTok were taken down following an investigation by The Associated Press published Oct. 10 that detailed working conditions in the drone factory in the Alabuga Special Economic Zone, which is under US and British sanctions.
Videos and other posts on the social media platforms promised the young women, who are largely from Africa, a free plane ticket to Russia and a salary of more than $500 a month following their recruitment via the program called “Alabuga Start.”
But instead of a work-study program in areas like hospitality and catering, some of them said they learned only arriving in the Tatarstan region that they would be toiling in a factory to make weapons of war, assembling thousands of Iranian-designed attack drones to be launched into Ukraine.
In interviews with AP, some of the women who worked in the complex complained of long hours under constant surveillance, of broken promises about wages and areas of study, and of working with caustic chemicals that left their skin pockmarked and itching. AP did not identify them by name or nationality out of concern for their safety.
The tech companies also removed accounts for Alabuga Polytechnic, a vocational boarding school for Russians aged 16-18 and Central Asians aged 18-22 that bills its graduates as experts in drone production.
The accounts collectively had at least 158,344 followers while one page on TikTok had more than a million likes.
In a statement, YouTube said its parent company Google is committed to sanctions and trade compliance and "after review and consistent with our policies, we terminated channels associated with Alabuga Special Economic Zone.”
Meta said it removed accounts on Facebook and Instagram that “violate our policies.” The company said it was committed to complying with sanctions laws and said it recognized that human exploitation is a serious problem which required a multifaceted approach, including at Meta.
It said it had teams dedicated to anti-trafficking efforts and aimed to remove those seeking to abuse its platforms.
TikTok said it removed videos and accounts which violated its community guidelines, which state it does not allow content that is used for the recruitment of victims, coordination of their transport, and their exploitation using force, fraud, coercion, or deception.
The women aged 18-22 were recruited to fill an urgent labor shortage in wartime Russia. They are from places like Uganda, Rwanda, Kenya, South Sudan, Sierra Leone and Nigeria, as well as the South Asian country of Sri Lanka. The drive also is expanding to elsewhere in Asia as well as Latin America.
Accounts affiliated to Alabuga with tens of thousands of followers are still accessible on Telegram, which did not reply to a request for comment. The plant's management also did not respond to AP.
The Alabuga Start recruiting drive used a robust social media campaign of slickly edited videos with upbeat music that show African women smiling while cleaning floors, wearing hard hats while directing cranes, and donning protective equipment to apply paint or chemicals.
Videos also showed them enjoying Tatarstan's cultural sites or playing sports. None of the videos made it clear the women would be working in a drone manufacturing complex.
Online, Alabuga promoted visits to the industrial area by foreign dignitaries, including some from Brazil, Sri Lanka and Burkina Faso.
According to Russian investigative outlets Protokol and Razvorot, some pupils at Alabuga Polytechnic are as young as 15 and have complained of poor working conditions.
Videos previously on the platforms showed the vocational school students in team-building exercises such as “military-patriotic” paintball matches and recreating historic Soviet battles while wearing camouflage.
Last month, Alabuga Start said on Telegram its "audience has grown significantly!”
That could be due to its hiring of influencers, who promoted the site on TikTok and Instagram as an easy way for young women to make money after leaving school.
TikTok removed two videos promoting Alabuga after publication of the AP investigation.
Experts told AP that about 90% of the women recruited via the Alabuga Start program work in drone manufacturing.



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.