Mark Zuckerberg has pledged to invest hundreds of billions of dollars to build a network of massive data centres focused on superintelligent AI. The initiative forms part of Meta’s wider push to lead the race in developing machines capable of outperforming humans in complex tasks.
The first of these centres, called Prometheus, is set to launch in 2026. Another facility, Hyperion, is expected to scale up to 5 gigawatts. Zuckerberg said the company is building several more AI ‘titan clusters’, each one covering an area comparable to a significant part of Manhattan.
He also cited Meta’s strong advertising revenue as the reason it can afford such bold spending despite investor concerns.
Meta recently regrouped its AI projects under a new division, Superintelligence Labs, following internal setbacks and high-profile staff departures.
The company hopes the division will generate fresh revenue streams through Meta AI tools, video ad generators, and wearable smart devices. It is reportedly considering dropping its most powerful open-source model, Behemoth, in favour of a closed alternative.
The firm has increased its 2025 capital expenditure to up to $72 billion and is actively hiring top talent, including former Scale AI CEO Alexandr Wang and ex-GitHub chief Nat Friedman.
Analysts say Meta’s AI investments are paying off in advertising but warn that the real return on long-term AI dominance will take time to emerge.
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Chancellor Rachel Reeves is reportedly considering the sale of over £5 billion in seized Bitcoin to help reduce the UK’s growing fiscal deficit. The Treasury is under pressure to find alternative revenue sources amid soaring borrowing costs, high inflation, and sluggish growth.
The Bitcoin in question was mostly confiscated in 2018 during a crackdown on a Chinese Ponzi scheme. Since then, its value has risen dramatically, with initial holdings worth around £300 million now estimated at more than £5 billion.
The assets were linked to convicted money launderers, including Jian Wen, and are currently held by UK law enforcement.
While the sale could help avoid tax increases or spending cuts, critics warn of repeating past mistakes. Comparisons have already been drawn to Gordon Brown’s heavily criticised gold sales in the early 2000s, which resulted in billions in missed profits.
There are also unresolved legal concerns about returning funds to victims of the fraud.
Some observers argue the UK should consider holding the Bitcoin as a strategic reserve, in line with countries like El Salvador. Analysts note that the US also sold off seized Bitcoin from 2014 to 2021, missing out on a potential $21 billion gain.
If the UK follows through with the sale, many believe it could prove to be one of the most short-sighted fiscal moves in recent history.
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Privacy-focused search engine DuckDuckGo has launched a new feature that allows users to filter out AI-generated images from search results.
Although the company admits the tool is not perfect and may miss some content, it claims it will significantly reduce the number of synthetic images users encounter.
The new filter uses open-source blocklists, including a more aggressive ‘nuclear’ option, sourced from tools like uBlock Origin and uBlacklist.
Users can access the setting via the Images tab after performing a search or use a dedicated link — noai.duckduckgo.com — which keeps the filter always on and also disables AI summaries and the browser’s chatbot.
The update responds to growing frustration among internet users. Platforms like X and Reddit have seen complaints about AI content flooding search results.
In one example, users searching for ‘baby peacock’ reported seeing just as many or more AI images than real ones, making it harder to distinguish between fake and authentic content.
DuckDuckGo isn’t alone in trying to tackle unwanted AI material. In 2024, Hiya launched a Chrome extension aimed at spotting deepfake audio across major platforms.
Microsoft’s Bing has also partnered with groups like StopNCII to remove explicit synthetic media from its results, showing that the fight against AI content saturation is becoming a broader industry trend.
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President Donald Trump has officially signed the GENIUS Act into law, marking a historic step in establishing a legal framework for stablecoins in the US. The act, passed with bipartisan support on 18 July, introduces the first rules for the $250 billion stablecoin market.
While Trump hailed the bill’s passage as a major achievement, backlash has emerged from both politicians and crypto insiders. Republican Representative Marjorie Taylor Greene condemned the bill, arguing it could secretly enable the rollout of a central bank digital currency (CBDC).
She warned that stablecoins under state control may function like a surveillance tool and criticised the absence of a clause banning CBDCs from the legislation.
Outside Capitol Hill, concerns were echoed by prominent Bitcoin advocate Justin Bechler, who likened the act to a covert power grab by central authorities. He claimed that fully compliant, state-enforced stablecoins effectively amount to CBDCs in practice.
Jean Rausis of SmarDex also described the bill as a ‘CBDC trojan horse’.
However, some believe the criticism is misplaced. Journalist Eleanor Terrett noted that the GENIUS Act includes language that prohibits the Federal Reserve from launching a retail CBDC.
Senator Tim Scott supported this view, stating the act does not expand the Fed’s powers in any direction resembling a digital currency for the public.
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The passage of the GENIUS Act in July has brought renewed focus on the relationship between digital asset firms and traditional financial institutions. Mastercard signalled readiness for a new era in digital assets, highlighting efforts to integrate stablecoins with conventional payment systems.
Mastercard’s collaboration with blockchain firms such as Ripple, Consensys, and Fireblocks was highlighted in a presentation shared by crypto researcher SMQKE.
The slide underscored Mastercard’s involvement in central bank digital currency (CBDC) initiatives alongside Visa and other partners, reflecting a commitment to making digital currencies as easy to use as cash.
Ripple’s presence in Mastercard’s network indicates its rising importance in regulated, institutional-grade solutions. Known for its work on real-time cross-border settlements, Ripple is well placed to benefit from the clearer regulatory landscape established by the GENIUS Act.
The legislative certainty encourages more traditional finance players and crypto firms to form lasting partnerships and expand compliant stablecoin applications.
The new law defines who can issue stablecoins and under what conditions, providing financial institutions with confidence to explore innovative payment models.
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Meta has hired two senior AI researchers from Apple, Mark Lee and Tom Gunter, as part of its ongoing effort to attract top talent in AI, according to Bloomberg.
Instead of staying within Apple’s ranks, both experts have joined Meta’s Superintelligence Labs, following Ruoming Pang, Apple’s former head of large language model development, whom Meta recently secured with a reported compensation package worth over $200 million.
Gunter, once a distinguished engineer at Apple, briefly worked for another AI firm before accepting Meta’s offer.
The moves reflect increasing instability inside Apple’s AI division, where leadership is reportedly exploring partnerships with external providers like OpenAI to power future Siri features rather than relying solely on in-house solutions.
Meta’s aggressive hiring strategy comes as CEO Mark Zuckerberg prioritises AI development, pledging substantial investment in talent and computing power to rival companies such as OpenAI and Google.
Some Apple employees have been presented with counteroffers, but these reportedly fail to match the scale of Meta’s packages.
Instead of slowing down, Meta appears determined to solidify its position as a leader in AI research, continuing to lure key experts away from competitors while Apple faces challenges retaining its top engineers.
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The cryptocurrency industry faces a record-breaking year for theft in 2025, with losses surpassing $2.17 billion by mid-July, according to a Chainalysis report. The amount stolen so far has surpassed the total for all of 2024, highlighting a concerning increase in digital asset crime.
A large proportion, around $1.5 billion, stems from the North Korea-linked Bybit hack, which accounts for nearly 70% of thefts targeting crypto services this year.
While centralised exchanges remain prime targets, personal wallets now represent almost a quarter of stolen funds. The report highlights a rise in violent ‘wrench attacks,’ where criminals coerce Bitcoin holders into revealing private keys through threats or physical force.
Kidnappings of crypto executives and family members have also increased, with 2025 expected to double the number of such physical assaults compared to previous years.
Sophistication in laundering stolen crypto varies depending on the target. Hackers focusing on exchanges use advanced techniques like chain-hopping and mixers to obscure transactions.
Conversely, attackers targeting personal wallets often employ simpler methods. Interestingly, criminals are holding stolen assets longer and are willing to pay fees up to 14.5 times higher than average to swiftly move illicit funds and avoid detection.
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As AI and cloud computing demand surges, Siemens is tackling critical energy and sustainability challenges facing the data centre industry. With power densities surpassing 100kW per rack, traditional infrastructure is being pushed beyond its limits.
Siemens highlighted the urgent need for integrated digital solutions to address growing pressures such as delayed grid connections, rising costs, and speed of deployment. Operators are increasingly adopting microgrids and forming utility partnerships to ensure resilience and control over power access.
Siemens views data centres not just as energy consumers but as contributors to the grid, using stored energy to balance supply. The shift is pushing the industry to become more involved in grid stability and renewable integration.
While achieving net zero remains challenging, data centres are adopting on-site renewables, advanced cooling systems, and AI-driven management tools to boost efficiency.
Siemens’ own software, such as the Building X Suite, is helping reduce energy waste and predict maintenance needs, aligning operational effectiveness with sustainability goals.
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AI startup Perplexity AI has raised $100 million in new funding, pushing its valuation to $18 billion, Bloomberg has reported. The deal reflects growing investor interest in AI tools amid the continued rise of chatbots and AI-powered search agents.
The funding follows a previous round from earlier in the year, which valued the company at $14 billion. Perplexity’s rapid valuation growth highlights the pace at which leading AI startups are expanding in the current market climate.
According to The Wall Street Journal, Perplexity was previously in advanced talks to raise $500 million at the earlier valuation. Venture capital firm Accel had been expected to lead that round. Other reports in March suggested that Perplexity aimed to raise as much as $1 billion.
The company has been making moves to challenge major tech incumbents. Just last week, it launched a new AI-powered web browser called ‘Comet’. The tool is designed to compete with Google Chrome by integrating advanced AI search functionality directly into browsing.
Perplexity is backed by Nvidia and is positioning itself at the intersection of search, generative AI, and user experience. Industry observers view its fast-growing valuation as a sign of heightened investor confidence in AI-native platforms.
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Former Google chief executive Eric Schmidt has warned that electricity, rather than semiconductors, will limit the future growth of AI.
Speaking on the Moonshots podcast, Schmidt said the push towards artificial superintelligence—AI that exceeds human cognitive ability in almost all domains—will depend on securing sufficient power instead of just developing more advanced chips.
Schmidt noted the US alone may require an extra 92 gigawatts of electricity to support AI growth, equivalent to dozens of nuclear power stations.
Instead of waiting for new plants, companies such as Microsoft are seeking to retrofit closed facilities, including the Three Mile Island plant targeted for relaunch in 2028.
Schmidt highlighted growing environmental pressures, citing Microsoft’s 34% increase in water use within a year, a trend experts link directly to rising AI workloads.
Major AI developers like OpenAI’s Sam Altman also acknowledge energy as a key constraint. Altman has invested in nuclear fusion through Helion, while firms such as Microsoft and AMD are pressing US policymakers to fast-track energy permits.
Environmental groups, including Greenpeace, warn that unchecked AI expansion risks undermining climate goals instead of supporting them.
Schmidt believes superintelligence is inevitable and approaching rapidly, predicting specialised AI tools across all fields within five years. Rather than focusing solely on AI’s capabilities, he stressed the urgent need for planning energy infrastructure today to match tomorrow’s AI demands.
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