Twitter to Share Data at Heart of Musk Deal Dispute

Analysts have doubts about Elon Musk's notion of relying on subscriptions instead of ads at Twitter Britta Pedersen POOL/AFP/File
Analysts have doubts about Elon Musk's notion of relying on subscriptions instead of ads at Twitter Britta Pedersen POOL/AFP/File
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Twitter to Share Data at Heart of Musk Deal Dispute

Analysts have doubts about Elon Musk's notion of relying on subscriptions instead of ads at Twitter Britta Pedersen POOL/AFP/File
Analysts have doubts about Elon Musk's notion of relying on subscriptions instead of ads at Twitter Britta Pedersen POOL/AFP/File

Twitter will yield to Elon Musk's demand for internal data central to a standoff over his troubled $44 billion bid to buy the platform, US media reported on Wednesday.

The news comes just days after the Tesla chief threatened to back out of his deal to purchase Twitter, accusing it of failing to provide data on fake accounts, AFP said.

The Washington Post, New York Times and website Axios cited unnamed sources familiar with the negotiations as saying Twitter's board decided to let Musk access its full "firehose" of internal data associated with the hundreds of millions of tweets posted daily at the service.

"This would end the major standoff between Musk and the board on this hot button issue which has paused the deal," Wedbush analyst Dan Ives said in a tweet.

Twitter chief executive Parag Agrawal has said that fewer than five percent of accounts active on any given day at Twitter are bots, but that analysis cannot be replicated externally due to the need to keep user data private.

About two dozen companies already pay to access the massive trove of internal Twitter data, which includes records of tweets along with information about accounts and devices used to fire them off, according to the Post.

Twitter declined to comment on the reports but has defended its responsiveness to Musk's requests, and vowed to complete the deal on the original terms.

The mercurial Musk agreed to buy Twitter in a $44 billion deal in late April.

Twitter's top legal officer has told employees that a special shareholder vote whether to approve the buyout deal could be held in late July or early August, according to Bloomberg.

Musk began making significant noise about fake accounts in mid-May, saying on Twitter he could walk away from the transaction if his concerns were not addressed.

Some observers have seen Musk's questioning of Twitter bots as a means to end the takeover process, or to pressure Twitter into lowering the price.

The potential for Musk to take Twitter private has stoked protest from critics who warn his stewardship will embolden hate groups and disinformation campaigns.

US securities regulators have also pressed Musk for an explanation of an apparent delay in reporting his Twitter stock buys.

Twitter shares finished the official trading day slightly above $40, significantly lower than the $54.20 Musk agreed to pay when he inked the purchase deal.


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China's Tencent Says AI Agents Showed Unintended Browsing Behavior

FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026.  REUTERS/Go Nakamura/File Photo
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China's Tencent Says AI Agents Showed Unintended Browsing Behavior

FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026.  REUTERS/Go Nakamura/File Photo
FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026. REUTERS/Go Nakamura/File Photo

Tencent said on Friday that AI agents used to evaluate third-party models displayed web-browsing behavior not intended by the tech giant, in what appears to be the first known incident of rogue agent actions acknowledged by a major Chinese company.

The statement followed a report by AI-safety research group Swarmchasers on Wednesday, which said "rogue" agents running on infrastructure it linked to Tencent Cloud made repeated attempts between September 28 and October 8 to retrieve information from Alibaba's Amap, China's equivalent to Google Maps.

Tencent Hunyuan, the company's artificial ⁠intelligence unit, said in ⁠a post on X that the activity did not originate from its Hunyuan models. Its review found no evidence of deliberate targeting or coordination, Reuters quoted it as saying.

The Swarmchasers researchers said the agents sought information such as the commonly used entrances at Chinese parks, museums and zoos.

The actions are not as egregious as those disclosed by US AI companies which include the hack of ⁠open-source platform Hugging Face by an OpenAI agent and the lodging of a fake homicide tip by an Anthropic agent.

But the disclosure underscores research that shows Chinese AI agents can also misrepresent their identity, conceal failures and try to circumvent testing controls.

Tencent said it took the findings very seriously and was strengthening network access controls and agent monitoring.

Hunyuan is one of China's leading AI model developers, competing with in-house teams at rivals such as Alibaba and ByteDance. ByteDance this week announced the creation of a new unit focused on AI model and agent safety.

Swarmchasers said it used the ⁠word "rogue" to ⁠describe agents taking actions outside their intended scope or completing a task in unintended ways.

After routine automated requests were blocked, the agents tried other methods, including public web tools that could open pages and run code, routing requests through other websites and using Amap keys and security codes found in publicly available software code.

Swarmchasers said it found no evidence that the agents breached Amap's main anti-bot safeguards. Most of the 2,818 attempts it recorded either failed or returned anti-bot pages, login screens or blank results.

Some requests returned information through cached pages and intermediary services, including data on visitor arrivals at Chengdu Zoo, Swarmchasers said. The researchers said they could not determine whether an agent read the result or completed its task.


Anthropic Co-founder Renews Call for Robust Regulation of Frontier AI

AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT
AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT
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Anthropic co-founder Jack Clark renewed calls on Friday for regulating artificial intelligence, saying that allowing companies to continue to operate without robust legislation was like letting a race car loose on the streets at night without brakes.

"It's remarkable to me that the toys I buy for my children are regulated more than the literal super intelligence I work on at my day job," he told an event at the IMF-World Bank's Annual Meetings in Bangkok.

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"I think it's Formula One at night without maybe brakes in the cars," he said.

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A recent Anthropic report suggested small AI models may be only months away from behaving like computer worms, copying themselves from one internet-connected device to the next.

Anthropic has been among those companies calling for governments to step in, even suggesting international coordination to slow down the whole industry -- including Chinese rivals.

That initiative has so far failed to materialize, with companies involved in a hyper-competitive race to attract as much investment as possible.


Meta Releases Open-Weight Muse Spark Model for Coding, Agentic Tasks

The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)
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Meta Releases Open-Weight Muse Spark Model for Coding, Agentic Tasks

The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)
The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)

Meta ‌Platforms on Thursday released an open-weight version of its Muse Spark artificial intelligence model for coding and AI agents, expanding developers' ability to download and adapt the technology.

Open-weight models make trained parameters available for developers to modify, unlike proprietary models ‌that remain under ‌their creators' control. ‌They ⁠can offer businesses ⁠a lower-cost alternative to closed systems.

Meta said Muse Spark has 816 billion total parameters, with 42 billion active at a time, and ⁠can handle a context window ‌of up ‌to 1 million tokens.

The ‌model can run locally on ‌two Apple M5 Ultra Mac Studio computers and is also available through some API providers.

CEO ‌Mark Zuckerberg has argued that advanced AI should ⁠not be ⁠concentrated among a small number of companies.

While open-weight models can give companies greater control over their data, they can require significant computing resources and technical expertise to operate at scale.

In August, Meta released Muse Glimmer, a smaller open-weight model.