Valve denies Steam data breach

Valve has confirmed that a cache of old Steam two-factor authentication codes and phone numbers, recently circulated by a hacker known as ‘Machine1337’, is indeed real, but insists it did not suffer a data breach.

Instead of pointing to its own systems, Valve explained that the leak involves outdated SMS messages, which are typically sent unencrypted and routed through multiple providers. These codes, once valid for only 15 minutes, were not linked to specific Steam accounts, passwords, or payment information.

The leaked data sparked early speculation that third-party messaging provider Twilio was the source of the breach, especially after their name appeared in the dataset. However, both Valve and Twilio denied any direct involvement, with Valve stating it does not even use Twilio’s services.

The true origin of the breach remains uncertain, and Valve acknowledged that tracing it may be difficult, as SMS messages often pass through several intermediaries before reaching users.

While the leaked information may not immediately endanger Steam accounts, Valve advised users to remain cautious. Phone numbers, when combined with other data, could still be used for phishing attacks.

Instead of relying on SMS for security, users are encouraged to activate the Steam Mobile Authenticator, which offers a more secure alternative for account verification.

Despite the uncertainty surrounding the source of the breach, Valve reassured users there’s no need to change passwords or phone numbers. Still, it urged vigilance, recommending that users routinely review their security settings and remain wary of any unsolicited account notifications.

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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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Apple opens NFC chip, PayPal taps into it

PayPal has launched its tap-to-pay feature for iPhone users in Germany, allowing contactless payments at terminals that support Mastercard.

The rollout follows pressure from the European Union under the Digital Markets Act, which forced Apple to open up its NFC chip to third-party apps.

Currently, the feature is exclusive to iPhones and does not support Apple Watch. It mirrors earlier moves by other apps like Norway’s Vipps, which began using Apple’s newly accessible NFC hardware late last year.

Apple has also started expanding NFC access globally, enabling developers to integrate in-app payments and allowing businesses to accept contactless payments via iPhones using third-party apps like Venmo and PayPal Zettle.

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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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Google tests AI mode on Search page

Google is experimenting with a redesigned version of its iconic Search homepage, swapping the familiar ‘I’m Feeling Lucky’ button for a new option called ‘AI Mode.’

The fresh feature, which began rolling out in limited tests earlier in May, is part of the company’s push to integrate more AI-driven capabilities into everyday search experiences.

According to a Google spokesperson, the change is currently being tested through the company’s experimental Labs platform, though there’s no guarantee it will become a permanent fixture.

The timing is notable, arriving just before Google I/O, the company’s annual developer conference where more AI-focused updates are expected.

Such changes to Google’s main Search page are rare, but the company may feel growing pressure to adapt. Just last week, an Apple executive revealed that Google searches on Safari had declined for the first time, linking the drop to the growing popularity of AI tools like ChatGPT.

By testing ‘AI Mode,’ Google appears to be responding to this shift, exploring ways to stay ahead in an increasingly AI-driven search landscape instead of sticking to its traditional layout.

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Republicans seek to block state AI laws for a decade

Republican lawmakers in the US have introduced a proposal that would block states from regulating artificial intelligence for the next ten years. Critics argue the move is a handout to Big Tech and could stall protections already passed in states like California, Utah, and Colorado.

The measure, embedded in a budget reconciliation bill, would prevent states from enforcing rules on a wide range of automated systems, from AI chatbots to algorithms used in health and justice sectors.

Over 500 AI-related bills have been proposed this year at the state level, and many of them would be nullified if the federal ban succeeds. Supporters of the bill claim AI oversight should happen at the national level to avoid a confusing patchwork of state laws.

Opponents, including US Democrats and tech accountability groups, warn the ban could allow unchecked algorithmic discrimination, weaken privacy, and leave the public vulnerable to AI-driven harms.

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Harvey adds Google and Anthropic AI

Harvey, the fast-growing legal AI startup backed early by the OpenAI Startup Fund, is now embracing foundation models from Google and Anthropic instead of relying solely on OpenAI’s.

In a recent blog post, the company said it would expand its AI model options after internal benchmarks showed that different tools excel at different legal tasks.

The shift marks a notable win for OpenAI’s competitors, even though Harvey insists it’s not abandoning OpenAI. Its in-house benchmark, BigLaw, revealed that several non-OpenAI models now outperform Harvey’s original system on specific legal functions.

For instance, Google’s Gemini 2.5 Pro performs well at legal drafting, while OpenAI’s o3 and Anthropic’s Claude 3.7 Sonnet are better suited for complex pre-trial work.

Instead of building its own models, Harvey now aims to fine-tune top-tier offerings from multiple vendors, including through Amazon’s cloud. The company also plans to launch a public legal benchmark leaderboard, combining expert legal reviews with technical metrics.

While OpenAI remains a close partner and investor, Harvey’s broader strategy signals growing competition in the race to serve the legal industry with AI.

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China bets big on humanoid robots to transform factories

Chinese start-up AgiBot is leading the charge in humanoid robotics, using data-intensive training to develop machines capable of everyday tasks like folding clothes and making sandwiches.

Backed by strong government support and over $20 billion in recent subsidies, China sees these AI-powered robots as a way to maintain its manufacturing edge amid demographic decline and global trade tensions. President Xi Jinping’s recent visit to AgiBot underlined the political significance of this push.

Humanoid robots in China are rapidly advancing beyond demonstration, with models already performing somersaults and quality checks on production lines. With the cost of components falling and state-backed funding expanding, firms like Unitree and UBTech are entering or preparing for mass production.

Analysts predict global sales of humanoid robots could reach one million annually by 2030, with China dominating both manufacturing and the underlying supply chains. The rise of humanoids has raised concerns over job displacement in a nation with over 120 million factory workers.

Lawmakers are debating AI-related unemployment insurance, while others argue robots can fill roles that are dull, dangerous or undesirable. The technology is also being positioned as a solution for elderly care, with firms like Ant Lingbo developing service robots for ageing populations.

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Google tests AI tool to automate software development

Google is internally testing an advanced AI tool designed to support software engineers through the entire development cycle, according to The Information. The firm is also expected to demonstrate integration between its Gemini chatbot in voice mode and Android-powered XR headsets.

The agentic AI assistant is said to handle tasks such as code generation and documentation, and has already been previewed to staff and developers ahead of Google’s I/O conference on 20 May. The move reflects a wider trend among tech giants racing to automate programming.

Amazon is developing its own coding assistant, Kiro, which can process both text and visual inputs, detect bugs, and auto-document code. While AWS initially targeted a June launch, the current release date remains uncertain.

Microsoft and Google have claimed that around 30% of their code is now AI-generated. OpenAI is also eyeing expansion, reportedly in talks to acquire AI coding start-up Windsurf for $3 billion.

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