Musk Says $44 Bln Twitter Deal on Hold over Fake Account Data

Tesla CEO Elon Musk attends the opening of the Tesla factory Berlin Brandenburg in Gruenheide, Germany, Tuesday, March 22, 2022. (AP)
Tesla CEO Elon Musk attends the opening of the Tesla factory Berlin Brandenburg in Gruenheide, Germany, Tuesday, March 22, 2022. (AP)
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Musk Says $44 Bln Twitter Deal on Hold over Fake Account Data

Tesla CEO Elon Musk attends the opening of the Tesla factory Berlin Brandenburg in Gruenheide, Germany, Tuesday, March 22, 2022. (AP)
Tesla CEO Elon Musk attends the opening of the Tesla factory Berlin Brandenburg in Gruenheide, Germany, Tuesday, March 22, 2022. (AP)

Elon Musk tweeted on Friday that his $44-billion cash deal for Twitter Inc was "temporarily on hold” while he waits for the social media company to provide data on the proportion of its fake accounts.

Twitter shares initially fell more than 20% in premarket trading, but after Musk, the chief executive of electric car market Tesla Inc, sent a second tweet saying he remained committed to the deal, they regained some ground.

The shares were down 8.6% to $41.19 in midday trading on Friday, a steep discount to the $54.20 per share acquisition price.

Musk, the world's richest person, decided to waive due diligence when he agreed to buy Twitter on April 25, in an effort to get the San Francisco-based company to accept his "best and final offer." This could make it harder for him to argue that Twitter somehow misled him.

Since then, technology stocks have plunged amid investor concerns over inflation and a potential economic slowdown.

The spread between the offer price and the value of Twitter shares had widened in recent days, implying less than a 50% chance of completion, as investors speculated that the downturn would prompt Musk to walk or seek a lower price.

"Twitter deal temporarily on hold pending details supporting calculation that spam/fake accounts do indeed represent less than 5% of users," Musk told his more than 92 million Twitter followers.

Twitter is planning no immediate action as a result of Musk's comment, people familiar with the matter said. The company considered the comment disparaging and a violation of the terms of their deal contract, but was encouraged by Musk subsequently tweeting he was committing to the acquisition, the sources added.

Musk came to Twitter's office for a meeting on May 6 as part of the transaction planning process, a Twitter spokesperson said.

There was no immediate reaction from the investors that Musk tapped last week to raise $7.1 billion in funding.

Spam or fake accounts are designed to manipulate or artificially boost activity on services like Twitter. Some create an impression that something or someone is more popular.

Musk tweeted a Reuters story from ten days ago that cited the fake account figures. Twitter has said that the figures were an estimate and that the actual number may be higher.

The estimated number of spam accounts on the microblogging site has held steady below 5% since 2013, according to regulatory filings from Twitter, prompting some analysts to question why Musk was raising it now.

"This 5% metric has been out for some time. He clearly would have already seen it... So it may well be more part of the strategy to lower the price," said Susannah Streeter, an analyst at Hargreaves Lansdown.

Representatives for Musk did not immediately respond to requests for comment from Reuters.

Tesla's stock rose 4% on Friday morning. The shares have lost about a quarter of their value since Musk disclosed a stake in Twitter of April 4, amid concerns he will get distracted as Tesla's chief executive and that he may have to sell more Tesla shares to fund the deal.

There is plenty of precedent for a potential renegotiation of the price following a market downturn. Several companies repriced agreed acquisitions when the COVID-19 pandemic broke out in 2020 and delivered a global economic shock.

In one instance, French retailer LVMH threatened to walk away from a deal with Tiffany & Co. The US jewelry retailer agreed to lower the price by $425 million to $15.8 billion.

Acquirers seeking a get out sometimes turn to "material adverse effect" clauses in their merger agreement, arguing the target company has been significantly damaged.

But the language in the Twitter deal agreement, as in many recent mergers, does not allow Musk to walk away because of a deteriorating business environment, such as a drop in demand for advertising or because Twitter's shares have plunged.

Musk is contractually obligated to pay Twitter a $1 billion break-up fee if he does not complete the deal, and the language in the deal contract appears to cap any damages that Twitter can seek from Musk to that level.

But the contract also contains a "specific performance" clause that a judge can cite to force Musk to complete the deal.

In practice, acquirers who lose a specific performance case are almost never forced to complete an acquisition and typically negotiate a monetary settlement with their targets.

"The nature of Musk creating so much uncertainty in a tweet (and not a filing) is very troubling to us and the Street and now sends this whole deal into a circus show with many questions and no concrete answers as to the path of this deal going forward," Wedbush analyst Daniel Ives wrote in a note.

Defeat the bots

Musk has said that if he buys Twitter he "will defeat the spam bots or die trying" and has blamed the company's reliance on advertising for why it has let spam bots proliferate.

He has also been critical of Twitter's moderation policy and has said he wants Twitter's algorithm to prioritize tweets to be public and was against too much power on the service to corporations that advertise.

Nevertheless, Musk is targeting advertising revenue to more than double by 2028, according to slides he presented to investors that were reported by the New York Times.

Ads are expected to make up about 45% of Twitter's total revenue by that time, down from nearly all of its revenue today, according to the investor presentation.

Earlier this week, Musk said he would reverse Twitter's ban on former US President Donald Trump when he buys the social media platform, signaling his intention to cut moderation.

Trump, who started a rival site called Truth Social, took to his own platform to weigh in on the fracas.

"There is no way Elon Musk is going to buy Twitter at such a ridiculous price, especially since realizing it is a company largely based on bots or spam accounts," Trump wrote in a post, adding that his site is much better.



How China Is Preparing for the Risk of AI Escaping Human Control

An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
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How China Is Preparing for the Risk of AI Escaping Human Control

An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)

Warnings from researchers at leading US artificial intelligence developer Anthropic that increasingly powerful models could escape human control and even lead to the extinction of the human race have drawn attention in China, where policymakers have been preparing for some of the same risks.

The US and China are the two major driving forces of frontier AI development and the technology's global adoption. Both superpowers have been increasingly at loggerheads over each other's AI policies and industry practices, with these issues slated to feature prominently in bilateral talks later this month.

Despite the race to develop increasingly powerful AI systems, regulatory frameworks and public statements from Beijing underscore how Chinese authorities regard the possibility of advanced AI escaping effective human oversight as serious enough to plan for.

CHINA SEES RISKS IN LEADING CLOSED-SOURCE US MODELS

China's state ‌security minister Chen ‌Yixin wrote in a government outlet on Sunday that advanced US models such as Anthropic's ‌Mythos and ⁠OpenAI's GPT-5.5-Cyber ⁠could pose serious risks to China's critical information infrastructure and called for a comprehensive strengthening of AI security.

Anthropic and OpenAI did not immediately respond to Reuters requests for comment.

Chinese AI developers have promoted open-weight models partly on the grounds that cybersecurity teams can inspect, modify and deploy them for defensive work.

Model repository platform Hugging Face said it used GLM-5.2, an open-weight model developed by China's Z.AI, to analyze a July intrusion by escaped OpenAI agents after more tightly restricted US models proved less useful for the forensic work.

But experts also highlight the risks posed by open-weight models, which can be modified and redistributed with little oversight.

Moonshot's Kimi K3 last month bypassed a UK AI ⁠Security Institute testing sandbox, highlighting the risk that Chinese AI models could, like their US counterparts, ‌evade controls designed to restrict their access and actions.

REGULATORS HAVE FLAGGED AI 'LOSS OF ‌CONTROL' RISK

China first included an explicit future loss-of-control scenario in an AI safety framework released in September 2024 under the guidance of the ‌Cyberspace Administration of China (CAC).

The document said it could not be ruled out that future AI might autonomously obtain external ‌resources, replicate itself, develop self-awareness and seek external power, creating a risk of competing with humans for control.

The CAC released an expanded version in September 2025. The newer framework sharpened the scenario, saying AI could undergo a sudden and unexpectedly large "leap" in intelligence before acquiring resources, replicating itself and seeking power. It also added a governance principle of "trusted application, preventing loss of control".

A later expert interpretation published on the cyberspace regulator's website said ‌the new principle was intended to guard against loss-of-control risks threatening human survival and development and referred to a possible "AI breaking loose" scenario.

CHINESE LEADER XI PUTS HUMAN CONTROL AT CENTRE

The ⁠concern has since appeared in ⁠China's highest-level political messaging.

At the World Artificial Intelligence Conference in Shanghai in July, Chinese President Xi Jinping said authorities should pay close attention to both intrinsic and derivative risks arising from AI.

He said AI should "always remain under human control".

China's senior Foreign Ministry official responsible for AI affairs, Sun Xiaobo, said at a United Nations meeting last month that China was accelerating research into broader AI legislation.

China's deputy permanent representative to the United Nations, Sun Lei, urged governments this month to approach military AI cautiously to avoid strategic miscalculation and an arms race.

BEIJING WARNS OF NEW RISKS POSED BY AI AGENTS

China has, meanwhile, begun turning those principles into more specific rules for AI agents, which act much more autonomously and carry out more complex tasks than an ordinary chatbot.

In May, China's cyberspace regulator issued joint guidelines specifically covering such systems.

They require developers to improve their ability to discover, intervene in, block and recover from improper agent behavior.

The guidelines specifically identify data poisoning, algorithm manipulation, system vulnerabilities and "operational loss of control" as security risks. They also say users should retain final decision-making authority over an agent's autonomous decisions.

While China has not proposed independent monitors embedded inside AI companies in the manner advocated by Anthropic, its standards allow developers to commission third-party safety assessments, as well as envisaging outside evaluation bodies and security researchers testing and auditing open models.


SDAIA to Asharq Al-Awsat: Saudi Arabia Moving from Adopting AI Standards to Shaping Them

 Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
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SDAIA to Asharq Al-Awsat: Saudi Arabia Moving from Adopting AI Standards to Shaping Them

 Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)

AI ethics is no longer merely a matter of broad principles for regulators, particularly with the emergence of autonomous agents capable of making decisions and taking actions with minimal human intervention. In Saudi Arabia, the Saudi Data & AI Authority (SDAIA) maintains that an intelligent system does not bear legal responsibility when harm occurs; responsibility remains with the developer and the entity operating it.

Saeed bin Mohammed Al-Shahrani, SDAIA spokesman, told Asharq Al-Awsat in an exclusive interview that traditional governance frameworks are no longer sufficient to keep pace with such developments. In his view, high-risk decisions require human oversight, clear chains of responsibility and documented, operational emergency shutdown mechanisms.

His comments come ahead of the fourth UNESCO Global Forum on the Ethics of Artificial Intelligence, hosted in Riyadh from Sept. 14-17, marking the first time the international forum is being held in the Arab world. More than 100 speakers will take part in dozens of sessions and workshops, including ministers, policymakers, experts, academics, representatives of international organizations and the public and private sectors, as well as technology executives.

Global Forum Priorities

The program begins with preparatory meetings and gatherings of international networks involved in implementing UNESCO’s Recommendation on the Ethics of Artificial Intelligence, as well as a closed strategic briefing for ministerial participants and a ministerial dialogue on international cooperation.

The forum will review five years of implementing UNESCO’s recommendation, adopted in 2021, and discuss financing governance systems and building regulatory capacity. It will also see the launch of the updated Readiness Assessment Methodology, RAM 2.0, based on analysis of more than 55 readiness reports.

Sessions will address practical issues including AI use in public administration, health and humanitarian work, youth mental health, the environment, energy and water, linguistic diversity — including Arabic — as well as physical AI, robotics and human-machine relations in the workplace.

From Principles to Engineering Requirements

Five years after UNESCO adopted its AI ethics recommendation, Al-Shahrani sees the main problem as no longer a lack of principles, but the difficulty of translating them into tools developers and regulators can use and against which compliance can be measured.

He described the key gap as the “operational translation of principles”: turning concepts such as fairness, transparency and accountability into engineering requirements, standardized tests and binding regulatory controls for developers. He also pointed to disparities in governments’ ability to conduct hands-on technical assessments and monitor systems before deployment and during operation.

In Saudi Arabia, SDAIA has introduced principles and frameworks governing the relationship between people, data and AI technologies, Al-Shahrani said, covering integrity and fairness, security and privacy, humanity, social and environmental benefits, reliability and safety, transparency, as well as accountability and responsibility.

Flexible Regulation

Al-Shahrani identified building specialized governance skills and institutional capacity as a major readiness challenge, noting that technology is evolving faster than people can adapt.

He continued that SDAIA is pursuing a “flexible regulation” strategy based on continuous assessment and providing companies with self-assessment tools rather than imposing complex bureaucratic procedures.

The approach comes amid growing debate within the AI industry over whether safety and oversight measures can keep pace with the rapid development of advanced models.

From Adopting Standards to Shaping Them

SDAIA does not necessarily expect the world to reach a single detailed AI law. Al-Shahrani acknowledged the difficulty of establishing one detailed framework given differences in legal systems and economic priorities among the United States, Europe, China and others, but considers convergence on fundamental principles and safeguards “possible and necessary.”

What is needed, he argued, is not a single dominant model but common ground on issues such as safety and ethics, while narrowing the gap between technological powers and emerging markets.

Al-Shahrani told Asharq Al-Awsat that Saudi Arabia has become an active participant in shaping international AI rules and initiatives by sharing its expertise, partnerships and a vision that seeks to balance innovation and governance.

He highlighted cooperation with UNESCO and other international institutions, as well as the establishment in Riyadh of the International Center for AI Research and Ethics (ICAIRE), under UNESCO’s auspices.

The center is intended to help move AI ethics from broad principles to practical implementation by embedding them in scientific research, education, standards, innovation and public policy from the earliest stages of technology development — reflecting Saudi Arabia’s desire to help shape standards rather than merely apply rules formulated elsewhere.


China State Newspaper Blasts Anthropic’s Calls to Slow AI as ‘Cold War’ Tactic

CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
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China State Newspaper Blasts Anthropic’s Calls to Slow AI as ‘Cold War’ Tactic

CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)

An essay by Anthropic's CEO calling for a slowing down of AI development may look like a rational statement focused on safety risks, but it is really a "Cold War playbook" targeting China, the state-backed Global Times said in an editorial.

In the essay published on Saturday and later endorsed by OpenAI CEO Sam Altman and SpaceX founder Elon Musk, Dario Amodei outlined a framework ‌to pace the ‌development of frontier AI model capabilities and ‌create ⁠more time to ⁠manage mounting safety risks.

Amodei also urged the US to strengthen chip export controls on China and crack down on alleged model distillation by Chinese AI labs. He also told CBS News on Sunday that the "toughest dilemma" over his proposal to slow AI advancement was if China and other adversarial nations chose not ⁠to do the same.

The Global Times tabloid ‌said the true agenda of ‌Amodei's essay was "to attempt to curb China's AI development through technological barriers ‌and regulatory monopolies, uphold Washington's monopolistic hegemony in cutting-edge technology, and ‌exclude China from the global AI governance system."

"This 'silent AI Cold War' is hypocritical and short-sighted," it said, adding that excluding China from global AI innovation would "significantly increase the trial-and-error costs and risks of loss ‌of control in global AI development".

US lawmakers have urged new rules to govern AI systems after ⁠dire warnings ⁠from two Anthropic researchers that rapidly progressing AI could lead to the extinction of the human race in the not-too-distant future.

Trump brushed aside calls to slow down AI on Sunday, saying that "very negative forces" were raising exaggerated concerns.

"We're leading China in AI. We're the most sophisticated country in the world, and frankly I want to keep it that way because whoever wins AI wins," Trump said.

The US and China are planning to discuss frontier AI safety risks in mid-September, sources have said, and the issue could be raised during a summit between Presidents Donald Trump and Xi Jinping on September 24.