Trump seals $200 billion UAE AI deal

US President Donald Trump has secured €179 billion ($200 billion) in deals with the United Arab Emirates, capping his Persian Gulf tour with plans for the world’s largest AI campus outside the US.

Located in Abu Dhabi and spanning 10 square miles, the facility will be built by UAE-based firm G42 in partnership with American companies, aimed at boosting regional computing capacity while supporting the Global South.

Instead of focusing solely on energy, Trump’s trip saw investments broaden to include AI, aviation, and industrial sectors. In total, his visit to the Gulf states yielded €1.3 trillion ($1.4 trillion) in investment pledges, including major agreements with Saudi Arabia and Qatar.

Gulf leaders are using AI as a vehicle to diversify their economies, while Trump is turning foreign capital into support for US manufacturing and tech exports.

The UAE deal includes plans to import up to 500,000 Nvidia H100 AI chips annually through 2027, with 20% allocated to G42. US officials, however, continue to express concern over potential Chinese access to advanced American technology.

The US Department of Commerce insists that strict safeguards are in place to prevent any misuse or diversion of AI hardware.

Other agreements include a $14.5 billion aircraft purchase by Etihad Airways from Boeing and GE Aerospace, a $60 billion energy partnership with ADNOC, and aluminium and gallium production deals with Emirates Global Aluminum.

Trump’s push to expand American business influence in the Gulf appears to be paying off, instead of letting China or Europe dominate future AI and industrial markets.

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OpenAI launches AI safety hub

OpenAI has launched a public online hub to share internal safety evaluations of its AI models, aiming to increase transparency around harmful content, jailbreaks, and hallucination risks. The hub will be updated after major model changes, allowing the public to track progress in safety and reliability over time.

The move follows growing criticism about the company’s testing methods, especially after inappropriate ChatGPT responses surfaced in late 2023. Instead of waiting for backlash, OpenAI is now introducing an optional alpha testing phase, letting users provide feedback before wider model releases.

The hub also marks a departure from the company’s earlier stance on secrecy. In 2019, OpenAI withheld GPT-2 over misuse concerns. Since then, it has shifted towards transparency by forming safety-focused teams and responding to calls for open safety metrics.

OpenAI’s approach appears timely, as several countries are building AI Safety Institutes to evaluate models before launch. Instead of relying on private sector efforts alone, the global landscape now reflects a multi-stakeholder push to create stronger safety standards and governance for advanced AI.

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TikTok adds AI tool to animate photos with realistic effects

TikTok has launched a new feature called AI Alive, allowing users to turn still images into dynamic, short videos. Instead of needing advanced editing skills, creators can now use AI to generate movement and effects with a few taps.

By accessing the Story Camera and selecting a static photo, users can simply type how they want the image to change — such as making the subject smile, dance, or tilt forward. AI Alive then animates the photo, using creative effects to produce a more engaging story.

TikTok says its moderation systems review the original image, the AI prompt, and the final video before it’s shown to the user. A second check occurs before a post is shared publicly, and every video made with AI Alive will include an ‘AI-generated’ label and C2PA metadata to ensure transparency.

The feature stands out as one of the first built-in AI image-to-video tools on a major platform. Snapchat and Instagram already offer AI image generation from text, and Snapchat is reportedly developing a similar image-to-video feature.

Meanwhile, TikTok is also said to be working on adding support for sending photos and voice messages via direct message — something rival apps have long supported.

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AI hallucination at center of Anthropic copyright lawsuit

Anthropic, the AI company behind the Claude chatbot, has been ordered by a federal judge to respond to allegations that it submitted fabricated material—possibly generated by AI—as part of its defense in an ongoing copyright lawsuit.

The lawsuit, filed in October 2023 by music publishers Universal Music Group, Concord, and ABKCO, accuses Anthropic of unlawfully using lyrics from over 500 songs to train its chatbot. The publishers argue that Claude can produce copyrighted material when prompted, such as lyrics from Don McLean’s American Pie.

During a court hearing on Tuesday in California, the publishers’ attorney claimed that an Anthropic data scientist cited a nonexistent academic article from The American Statistician journal to support the argument that Claude rarely outputs copyrighted lyrics.

One of the article’s alleged authors later confirmed the paper was a ‘complete fabrication.’ The judge is now requiring Anthropic to formally address the incident in court.

The company, founded in 2021, is backed by major investors including Amazon, Google, and Sam Bankman-Fried, the disgraced crypto executive convicted of fraud in 2023.

The case marks a significant test of how AI companies handle copyrighted content, and how courts respond when AI-generated material is used in legal proceedings.

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Seattle startup ElastixAI raises $16 million for AI inference tech

A stealthy new AI startup in Seattle, ElastixAI, has raised $16 million to build technology that aims to reduce the cost and complexity of running large language models.

Rather than focusing on training, the company is developing an AI inference platform to optimise how these models operate, whether on cloud servers or edge devices. The funding round is led by Bellevue-based venture capital firm FUSE, with support from several others.

ElastixAI is led by CEO Mohammad Rastegari, formerly CTO of Xnor, a startup acquired by Apple in 2020. He co-founded the company with Saman Naderiparizi, also ex-Apple and Xnor, and Mahyar Najibi, who worked at both Apple and Waymo.

The team’s background in AI hardware and software gives them a unique edge in addressing challenges at a stage where AI models generate responses from trained data.

Instead of building a one-size-fits-all solution, the startup’s platform is designed for flexibility, allowing customers to fine-tune infrastructure to specific needs. ‘We saw a gap in delivering scalable and low-cost inference,’ said Rastegari.

The company remains in stealth but says its platform could serve both hyperscalers and enterprises looking to integrate AI into everyday operations.

With other players like Nvidia and Fireworks.ai competing in the inference space, ElastixAI may even count some of them as future customers.

Rastegari and Naderiparizi are also affiliate assistant professors at the University of Washington, and their startup reflects Seattle’s growing reputation as a hub for advanced AI development — a trend Apple has helped shape with several acquisitions in the region.

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DeepMind unveils AlphaEvolve for scientific breakthroughs

Google DeepMind has unveiled AlphaEvolve, a new AI system designed to help solve complex scientific and mathematical problems by improving how algorithms are developed.

Rather than acting like a standard chatbot, AlphaEvolve blends large language models from the Gemini family with an evolutionary approach, enabling it to generate, assess, and refine multiple solutions at once.

Instead of relying on a single output, AlphaEvolve allows researchers to submit a problem and potential directions. The system then uses both Gemini Flash and Gemini Pro to create various solutions, which are automatically evaluated.

The best results are selected and enhanced through an iterative process, improving accuracy and reducing hallucinations—a common issue with AI-generated content.

Unlike earlier DeepMind tools such as AlphaFold, which focused on narrow domains, AlphaEvolve is a general-purpose AI for coding and algorithmic tasks.

It has already shown its value by optimising Google’s own Borg data centre management system, delivering a 0.7% efficiency gain—significant given Google’s global scale.

The AI also devised a new method for multiplying complex matrices, outperforming a decades-old technique and even beating DeepMind’s specialised AlphaTensor model.

AlphaEvolve has also contributed to improvements in Google’s hardware design by optimising Verilog code for upcoming Tensor chips.

Though not publicly available yet due to its complexity, AlphaEvolve’s evaluation-based framework could eventually be adapted for smaller AI tools used by researchers elsewhere.

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Amazon launches end-to-end AI audiobook production for publishers

Amazon has announced the expansion of AI-generated audiobook narration through its Audible platform, offering publishers the option to convert books into audio using synthetic voices.

The company’s new tools include more than 100 AI-generated voices across English, Spanish, French, and Italian, with variations in accents and dialects. Publishers will be able to choose between two production workflows: a fully managed Audible-led process or a self-service option using the same underlying technology.

According to Amazon, the initiative aims to scale audiobook production and increase accessibility. Audible CEO Bob Carrigan said the company’s long-term goal is to support ‘every book in every language’ through its end-to-end AI production system.

Later in 2024, Amazon will begin beta testing AI-powered translation services for audiobooks.

The services will include text-to-text translation of manuscripts—with the option of either AI or professional narration—and speech-to-speech translation designed to preserve the original narrator’s voice and tone across languages.

Human linguists will be available to review translations for accuracy and cultural context. Amazon did not indicate whether the new AI tools would replace human narrators but positioned the offering as an additional option for publishers.

The expansion comes as generative AI continues to reshape content production workflows across the publishing and media industries.

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Android adds new scam protection for phone calls

Google is introducing new protections on Android devices to combat phone call scams, particularly those involving screen-sharing and app installations. Users will see warning messages if they attempt to change settings during a call and Android will also block the deactivation of Play Protect features.

The system will now block users from sideloading apps or granting accessibility permissions while on a call with unknown contacts.

The new tools are available on devices running Android 16 and select protections are also rolling out to older versions, starting with Android 11

A separate pilot in the UK will alert users trying to open banking apps during a screen-sharing call, prompting them to end the call or wait before proceeding.

These features expand Android’s broader efforts to prevent fraud, which already include AI-based scam detection for phone calls and messages.

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Lawyers sanctioned after AI-generated cases found false

A federal judge in California has sanctioned two law firms for submitting a legal brief containing fake citations generated by AI tools. Judge Michael Wilner described the AI-generated references as ‘bogus’ and fined the firms $31,000, criticising them for failing to properly check the sources.

The legal document in question was based on an outline created with Google Gemini and AI tools within Westlaw.

However, this draft was handed off to another firm, K&L Gates, which included the fabricated citations without verifying their authenticity.Judge Wilner noted that at least two cases referenced in the filing did not exist at all.

He warned that undisclosed reliance on AI could mislead US courts and compromise legal integrity. This case adds to a growing list of incidents where lawyers misused AI, mistakenly treating chatbots as legitimate research tools.

The judge called the actions professionally reckless and said no competent attorney should outsource research to AI without careful oversight.

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Cheshire’s new AI tool flags stalking before it escalates

Cheshire Police has become the first UK force to use AI in stalking investigations, aiming to identify harmful behaviours earlier. The AI will analyse reports in real time, even as victims speak with call handlers.

The system, trained using data from the force and the Suzy Lamplugh Trust, is designed to detect stalking patterns—even if the term isn’t used directly. Currently, officers in the Harm Reduction Unit manually review 10 cases a day.

Det Ch Insp Danielle Knox said AI will enhance, not replace, police work, and ethical safeguards are in place. Police and Crime Commissioner Dan Price secured £300,000 to fund the initiative, saying it could be ’25 times more effective’ than manual investigation.

Survivor ‘Amy’ said earlier intervention might have prevented her violent assault. Three-quarters of the unit’s cases already lead to charges, but police hope AI will improve that success rate and offer victims faster protection.

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