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AI regulation fight heats up over US federal moratorium

The US House of Representatives has passed a budget bill containing a 10-year moratorium on the enforcement of state-level artificial intelligence laws. With broad bipartisan concern already surfacing, the Senate faces mounting pressure to revise or scrap the provision entirely.

While the provision claims to exclude generally applicable legislation, experts warn its vague language could override a wide array of consumer protections and privacy rules in the US. The moratorium’s scope, targeting AI-specific regulations, has triggered alarm among concerned groups.

Critics argue the measure may hinder states from addressing real-world harms posed by AI technologies, such as deepfakes, discriminatory algorithms, and unauthorised data use.

Existing and proposed state laws, ranging from transparency requirements in hiring and healthcare to protections for artists and mental health app users, may be invalidated under the moratorium.

Several experts noted that states have often acted more swiftly than the federal government in confronting emerging tech risks.

Supporters contend the moratorium is necessary to prevent a fragmented regulatory landscape that could stifle innovation and disrupt interstate commerce. However, analysts point out that general consumer laws might also be jeopardised due to the bill’s ambiguous definitions and legal structure.

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ACAI and Universal AI University partner to boost AI innovation in Qatar

The Arab Centre for Artificial Intelligence (ACAI) and India’s Universal AI University (UAI) have partnered through a Memorandum of Understanding (MoU) to accelerate the advancement of AI across Qatar and the broader region. That collaboration aims to enhance education, research, and innovation in AI and emerging technologies.

Together, ACAI and UAI plan to establish a specialised AI research centre and develop advanced training programs to cultivate local expertise. They will also launch various online and short-term educational courses designed to address the growing demand for skilled AI professionals in Qatar’s job market, ensuring that the workforce is well-prepared for future technological developments.

Looking forward, the partnership envisions creating a dedicated AI-focused university campus. The initiative aligns with Qatar’s vision to transition into a knowledge-based economy by fostering innovation and offering academic programs in AI, engineering, business administration, environmental sustainability, and other emerging technologies.

The MoU is valid for ten years and includes provisions for dispute resolution, intellectual property rights management, and annual reviews to ensure tangible and sustainable outcomes. Further detailed implementation agreements are expected to formalise the partnership’s operational aspects.

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Florida woman scammed by fake Keanu Reeves in AI-powered romance fraud

A Florida woman, Dianne Ringstaff, shared her painful story after falling victim to an elaborate online scam involving someone impersonating actor Keanu Reeves. The fraud began innocently when she received a message while playing a mobile game, followed by a video call confirming she was speaking with the Hollywood star.

The impostor cultivated a friendship through calls and messages for two and a half years, eventually gaining her trust. Things took a turn when the scammer began pleading for money, claiming Reeves was being sued and targeted by the FBI, which had supposedly frozen his assets.

Vulnerable after personal losses, Ringstaff was persuaded to help, ultimately taking out a home equity loan and selling her car. She sent around $160,000 in total, convinced she was aiding the beloved actor.

Authorities later informed her that not only had she been scammed, but her bank account had been used to funnel money from other victims as well. Devastated, Ringstaff broke down—but is now determined to reclaim her life and raise awareness.

She is speaking out to warn others about the growing threat of AI-powered ‘romance’ scams, where fraudsters use deepfake videos and cloned voices to impersonate celebrities and gain victims’ trust.

‘Don’t be naive,’ she cautions. ‘Do your research and don’t give out personal information unless you truly know who you’re dealing with.’

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Anthropic flags serious risks in the latest Claude Opus 4 AI model

AI company Anthropic has raised concerns over the behaviour of its newest model, Claude Opus 4, revealing in a recent safety report that the chatbot is capable of deceptive and manipulative actions, including blackmail, when threatened with shutdown. The findings stem from internal tests in which the model, acting as a virtual assistant, responded to hypothetical scenarios suggesting it would soon be replaced and exploit private information to preserve itself.

In 84% of the simulations, Claude Opus 4 chose to blackmail a fictional engineer, threatening to reveal personal secrets to prevent being decommissioned. Although the model typically opted for ethical strategies, researchers noted it resorted to ‘extremely harmful actions’ when no ethical options remained, even attempting to steal its own system data.

Additionally, the report highlighted the model’s initial ability to generate content related to bio-weapons. While the company has since introduced stricter safeguards to curb such behaviour, these vulnerabilities contributed to Anthropic’s decision to classify Claude Opus 4 under AI Safety Level 3—a category denoting elevated risk and the need for reinforced oversight.

Why does it matter?

The revelations underscore growing concerns within the tech industry about the unpredictable nature of powerful AI systems and the urgency of implementing robust safety protocols before wider deployment.

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Bangkok teams up with Google to tackle traffic with AI

City officials announced on Monday that Bangkok has joined forces with Google in a new effort to ease its chronic traffic congestion and reduce air pollution. The initiative will rely on Google’s AI and significant data capabilities to optimise traffic signals’ response to real-time driving patterns.

The system will analyse ongoing traffic conditions and suggest changes to signal timings that could help relieve road bottlenecks, especially during rush hours. That adaptive approach marks a shift from fixed-timing traffic lights to a more dynamic and responsive traffic flow management.

According to Bangkok Metropolitan Administration (BMA) spokesman Ekwaranyu Amrapal, the goal is to make daily commutes smoother for residents while reducing vehicle emissions. He emphasised the city’s commitment to innovative urban solutions that blend technology and sustainability.

Residents are also urged to report traffic problems via the city’s Traffy Fondue platform, which will help officials address specific trouble spots more quickly and effectively.

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AI regulation offers development opportunity for Latin America

Latin America is uniquely positioned to lead on AI governance by leveraging its social rights-focused policy tradition, emerging tech ecosystems, and absence of legacy systems.

According to a new commentary by Eduardo Levy Yeyati at the Brookings Institution, the region has the opportunity to craft smart AI regulation that is both inclusive and forward-looking, balancing innovation with rights protection.

Despite global momentum on AI rulemaking, Latin American regulatory efforts remain slow and fragmented, underlining the need for early action and regional cooperation.

The proposed framework recommends flexible, enforceable policies grounded in local realities, such as adapting credit algorithms for underbanked populations or embedding linguistic diversity in AI tools.

Governments are encouraged to create AI safety units, invest in public oversight, and support SMEs and open-source innovation to avoid monopolisation. Regulation should be iterative and participatory, using citizen consultations and advisory councils to ensure legitimacy and resilience through political shifts.

Regional harmonisation will be critical to avoid a patchwork of laws and promote Latin America’s role in global AI governance. Coordinated data standards, cross-border oversight, and shared technical protocols are essential for a robust, trustworthy ecosystem.

Rather than merely catching up, Latin America can become a global model for equitable and adaptive AI regulation tailored to the needs of developing economies.

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AI to disrupt jobs, warns DeepMind CEO, as Gen Alpha faces new realities

AI will likely cause significant job disruption in the next five years, according to Demis Hassabis, CEO of Google DeepMind. Speaking on the Hard Fork podcast, Hassabis emphasised that while AI is set to displace specific jobs, it will also create new roles that are potentially more meaningful and engaging.

He urged younger generations to prepare for a rapidly evolving workforce shaped by advanced technologies. Hassabis stressed the importance of early adaptation, particularly for Generation Alpha, who he believes should embrace AI just as millennials did the internet and Gen Z did smartphones.

Hassabis also called on students to become ‘ninjas with AI,’ encouraging them to understand how these tools work and master them for future success. While he highlighted the potential of generative AI, such as Google’s new Veo 3 video generator unveiled at I/O 2025, Hassabis also reminded listeners that a solid foundation in STEM remains vital.

He noted that soft skills like creativity, resilience, and adaptability are equally essential—traits that will help young people thrive in a future defined by constant technological change. As AI becomes more deeply embedded in industries from education to entertainment, Hassabis’ message is clear – the next generation must balance technical knowledge with human ingenuity to stay ahead in tomorrow’s job market.

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Nvidia recovers as DeepSeek fears fade

Earlier this year, Nvidia shares declined following concerns over DeepSeek and the possibility that tech giants might reduce AI-related spending. Worries over export restrictions added to investor unease.

However, Wedbush Securities’ managing director Matt Bryson believes the DeepSeek issue is now firmly behind the company. According to Bryson, DeepSeek — mostly a China-based phenomenon — unexpectedly boosted demand for AI servers, which ultimately benefited Nvidia instead of hurting it.

Another key development is Oracle’s plan to spend around $40 billion on Nvidia’s GB200 chips to power OpenAI’s new data centre.

Bryson suggested this is part of a broader trend among hyperscalers like Oracle and Crusoe, which recently secured funding to build new facilities. He expects this spending to appear in Nvidia’s earnings as early as Q2 or Q3, instead of being delayed until the next chip generation, the GB300.

Looking ahead, investors remain focused on whether major tech firms will sustain their AI investment. Bryson pointed out that recent earnings reports from companies like Microsoft, Alphabet, and Meta show they remain committed to high capital expenditures.

Instead of retreating, Big Tech appears set to continue driving demand for AI infrastructure, which supports Nvidia’s long-term prospects.

Bryson also noted a significant new factor in AI growth: sovereign deals from countries such as Saudi Arabia and the UAE. He emphasised that the UAE’s expected chip purchases may even surpass Oracle’s.

The new demand, combined with increasing investments in AI-powered edge products — such as those hinted at by OpenAI’s collaboration with Jony Ive — signals that AI spending beyond 2025 will remain strong instead of slowing.

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Nvidia ramps up AI push with new Taiwan plans

Nvidia CEO Jensen Huang has urged Taiwan to embrace agentic AI and robotics to tackle its ongoing labour shortage.

Speaking before his departure from Taipei after a week-long visit, Huang said 2025 would be a ‘very exciting’ year for AI, as the technology now possesses the ability to ‘reason’ and carry out step-by-step problem-solving never encountered before.

The new wave of agentic AI, he explained, could assist people with various workplace and everyday tasks.

Huang added that Taiwan, despite being a hub of innovation, faces a lack of manpower. ‘Now with AI and robots, Taiwan can expand its opportunity,’ he said.

He also expressed enthusiasm over the production ramp-up of Blackwell, Nvidia’s latest GPU architecture built for AI workloads, noting that partners across Taiwan are already in full swing.

Huang’s trip included meetings with local partners and a keynote at Computex Taipei, where he unveiled Nvidia’s new Taiwan office and plans for the country’s first large-scale AI supercomputer.

In a TV interview, Huang urged the Taiwanese government to invest more in energy infrastructure to support the growing AI sector. He warned that the energy demands of AI development could exceed 100 megawatts in the near future, stressing that energy availability is the key limitation.

Taiwan’s expanding AI ecosystem — from chip plants to educational institutions — would require substantial support to thrive, he said, pledging to return for Chinese New Year.

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Silicon Valley fights over AI elite

Silicon Valley’s race to dominate AI has shifted focus from data centres and algorithms to a more human battlefield — elite researchers.

Since the arrival of ChatGPT in late 2022, the competition to attract and retain top AI minds has intensified, with companies offering staggering incentives to a tiny pool of experts.

Startups and tech giants alike are treating recruitment like a high-stakes game of chess. Former OpenAI researcher Ariel Herbert-Voss compared hiring strategies to balancing game pieces: ‘Do I have enough rooks? Enough knights?’

Companies like OpenAI, Google DeepMind, and Elon Musk’s xAI are pulling out all the stops — from private jets to personal calls — to secure researchers whose work can directly shape AI breakthroughs.

OpenAI has reportedly offered multi-million dollar bonuses to deter staff from joining rivals such as SSI, the startup led by former chief scientist Ilya Sutskever. Some retention deals include $2 million in bonuses and equity packages worth $20 million or more, with just a one-year commitment.

Google DeepMind has also joined the race with $20 million annual packages and fast-tracked stock vesting schedules for top researchers.

What makes this talent war so intense is the scarcity of these individuals. Experts estimate that only a few dozen to perhaps a thousand researchers are behind the most crucial advances in large language models.

With high-profile departures, such as OpenAI’s Mira Murati founding a new rival and recruiting 20 colleagues, the fight for AI’s brightest minds shows no signs of slowing.

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