Prominent personalities

Perplexity CEO predicts that AI browser could soon replace recruiters and assistants

Perplexity AI CEO Aravind Srinivas believes that the company’s new AI-powered browser, Comet, could soon replace two key white-collar roles in most offices: recruiters and executive assistants.

Speaking on The Verge podcast, Srinivas explained that with the integration of more advanced reasoning models like GPT-5 or Claude 4.5, Comet will be able to handle tasks traditionally assigned to these positions.

He also described how a recruiter’s week-long workload could be reduced to a single AI prompt.

From sourcing candidates to scheduling interviews, tracking responses in Google Sheets, syncing calendars, and even briefing users ahead of meetings, Comet is built to manage the entire process—often without any follow-up input.

The tool remains in an invite-only phase and is currently available to premium users.

Srinivas also framed Comet as the early foundation of a broader AI operating system for knowledge workers, enabling users to issue natural language commands for complex tasks.

He emphasised the importance of adopting AI early, warning that those who fail to keep pace with the technology’s rapid growth—where breakthroughs arrive every few months—risk being left behind in the job market.

In a separate discussion, he urged younger generations to reduce time spent scrolling on Instagram and instead focus on mastering AI tools. According to him, the shift is inevitable, and those who embrace it now will hold a long-term professional advantage.

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Meta CEO unveils plan to spend hundreds of billions on AI data centres

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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Meta lures AI leaders as Apple faces instability

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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AI Appreciation Day highlights progress and growing concerns

AI is marking another milestone as experts worldwide reflect on its rapid rise during AI Appreciation Day. From reshaping business workflows to transforming customer experiences, AI’s presence is expanding — but so are concerns over its long-term implications.

Industry leaders point to AI’s growing role across sectors. Patrick Harrington from MetaRouter highlights how control over first-party data is now seen as key instead of just processing large datasets.

Vall Herard of Saifr adds that successful AI implementations depend on combining curated data with human oversight rather than relying purely on machine-driven systems.

Meanwhile, Paula Felstead from HBX Group believes AI could significantly enhance travel experiences, though scaling it across entire organisations remains a challenge.

Voice AI is changing industries that depend on customer interaction, according to Natalie Rutgers from Deepgram. Instead of complex interfaces, voice technology is improving communication in restaurants, hospitals, and banks.

At the same time, experts like Ivan Novikov from Wallarm stress the importance of securing AI systems and the APIs connecting them, as these form the backbone of modern AI services.

While some celebrate AI’s advances, others raise caution. SentinelOne’s Ezzeldin Hussein envisions AI becoming a trusted partner through responsible development rather than unchecked growth.

Naomi Buckwalter from Contrast Security warns that AI-generated code could open security gaps instead of fully replacing human engineering, while Geoff Burke from Object First notes that AI-powered cyberattacks are becoming inevitable for businesses unable to keep pace with evolving threats.

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Trump launches $70 billion AI and energy investment plan

President Donald Trump has announced a $70 billion initiative to strengthen America’s energy and data infrastructure to meet growing AI-driven demand. The plan was revealed at Pittsburgh’s Pennsylvania Energy & Innovation Summit, with over 60 primary energy and tech CEOs in attendance.

The investment will prioritise US states such as Pennsylvania, Texas, and Georgia, where energy grids are increasingly under pressure due to rising data centre usage. Part of the funding will come from federal-private partnerships, alongside potential reforms led by the Department of Energy.

Analysts suggest the plan redirect federal support away from wind and solar energy in favour of nuclear and fossil fuel development. The proposal may also scale back green tax credits introduced under the Inflation Reduction Act, potentially affecting more than 300 gigawatts of renewable capacity.

The package includes a project to transform a disused steel mill in Aliquippa into a large-scale data centre hub, forming part of a broader strategy to establish new AI-energy corridors. Critics argue the plan could prioritise legacy systems over decarbonisation, even as AI pushes infrastructure to its limits.

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Meta offers $200 million to top AI talent as superintelligence race heats up

Meta has reportedly offered over $200 million in compensation to Ruoming Pang, a former senior AI engineer at Apple, as it escalates its bid to dominate the AI arms race.

The offer, which includes long-term stock incentives, far exceeded Apple’s willingness to match and is seen as one of Silicon Valley’s most aggressive poaching efforts.

The move is part of Meta’s broader campaign to build a world-class team under its new Meta Superintelligence Lab (MSL), which is focused on developing artificial general intelligence (AGI).

The division has already attracted prominent names, including ex-GitHub CEO Nat Friedman, AI investor Daniel Gross, and Scale AI co-founder Alexandr Wang, who joined as Chief AI Officer through a $14.3 billion stake deal.

Most compensation offers in the MSL reportedly rival CEO packages at global banks, but they are heavily performance-based and tied to long-term equity vesting.

Meta’s mix of base salary, signing bonuses, and high-value stock options is designed to attract and retain elite AI talent amid a fierce talent war with OpenAI, Google, and Anthropic.

OpenAI CEO Sam Altman recently claimed Meta has dangled bonuses up to $100 million to lure staff away, though he insists many stayed for cultural reasons.

Still, Meta has already hired more than 10 researchers from OpenAI and poached talent from Google DeepMind, including principal researcher Jack Rae.

The AI rivalry could come to a head as Altman and Zuckerberg meet at the Sun Valley conference this week.

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X CEO Yaccarino resigns as AI controversy and Musk’s influence grow

Linda Yaccarino has stepped down as CEO of X, ending a turbulent two-year tenure marked by Musk’s controversial leadership and ongoing transformation of the social media company.

Her resignation came just one day after a backlash over offensive posts by Grok, the AI chatbot created by Musk’s xAI, which had been recently integrated into the platform.

Yaccarino, who was previously a top advertising executive at NBCUniversal, was brought on in 2023 to help stabilise the company following Musk’s $44bn acquisition.

In her farewell post, she cited efforts to improve user safety and rebuild advertiser trust, but did not provide a clear reason for her departure.

Analysts suggest growing tensions with Musk’s management style, particularly around AI moderation, may have prompted the move.

Her exit adds to the mounting challenges facing Musk’s empire.

Tesla is suffering from slumping sales and executive departures, while X remains under pressure from heavy debts and legal battles with advertisers.

Yaccarino had spearheaded ambitious initiatives, including payment partnerships with Visa and plans for an X-branded credit or debit card.

Despite these developments, X continues to face scrutiny for its rightward political shift and reliance on controversial AI tools.

Whether the company can fulfil Musk’s vision of becoming an ‘everything app’ without Yaccarino remains to be seen.

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Sam Altman shrugs off Meta poaching, backs Trump, jabs at Musk

OpenAI CEO Sam Altman addressed multiple hot topics during the Sun Valley conference, including Meta’s aggressive recruitment of top AI researchers, his strained relationship with Elon Musk, and a surprising show of support for Donald Trump.

Altman downplayed Meta’s talent raids, saying he had not spoken to Mark Zuckerberg since the Meta CEO lured away three OpenAI researchers with a $100 million signing bonus. All three had worked at OpenAI’s Zurich office, which opened in 2024.

Despite the losses, Altman described the situation as ‘fine’ and ‘good’, suggesting OpenAI’s mission continues to retain top talent.

The OpenAI chief also took a subtle swipe at Meta’s smartglasses, saying he doesn’t like wearable tech and implying his company has no plans to follow suit.

On the topic of Elon Musk, Altman laughed off their rivalry, saying only that Musk’s bust-ups with everybody, and hinting at the long-running tension between the two former co-founders.

Perhaps most notably, Altman expressed disillusionment with the Democratic Party, saying he no longer feels represented by mainstream figures he once supported.

He praised Donald Trump’s focus on AI infrastructure. He even donated $1 million to Trump’s inaugural fund — a gesture reflecting a broader shift among Silicon Valley leaders warming to Trump as his popularity rises.

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Meta hires Apple’s top AI executive amid tech talent war

Apple has lost a key AI executive to Meta, dealing a fresh blow to the tech giant’s internal AI ambitions.

Ruoming Pang, who led Apple’s foundation models team, is joining Meta’s newly formed superintelligence group, according to people familiar with the matter.

Meta reportedly offered Pang a lucrative package worth tens of millions annually, continuing its aggressive hiring streak.

The company, led by Mark Zuckerberg, has already brought in several high-profile AI experts from Scale AI, OpenAI, Anthropic and elsewhere, with Zuckerberg personally involved in recruitment efforts.

Pang’s team at Apple had been responsible for the core language models behind Apple Intelligence and Siri.

However, internal dissatisfaction has been mounting as the company considered shifting to third-party models, including from OpenAI and Anthropic.

That shift, combined with recent leadership changes and reduced responsibilities for Apple’s AI chief John Giannandrea, has weakened morale across the team.

Following Pang’s exit, the team will now be managed by Zhifeng Chen under a new multi-tier structure.

Several engineers are also reportedly planning to leave, raising concerns about Apple’s ability to retain AI talent as Meta increases its investment and influence in the race for advanced AI development.

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Meta pursues two AI paths with internal tension

Meta’s AI strategy is facing internal friction, with CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun taking sharply different paths toward the company’s future.

While Zuckerberg is doubling down on superintelligence, even launching a new division called Meta Superintelligence Labs, LeCun argues that even ‘cat-level’ intelligence remains a distant goal.

The new lab, led by Scale AI founder Alexandr Wang, marks Zuckerberg’s ambition to accelerate progress in large language models — a move triggered by disappointment in Meta’s recent Llama performance.

Reports suggest the models were tested with customised benchmarks to appear more capable than they were. That prompted frustration at the top, especially after Chinese firm DeepSeek built more advanced tools using Meta’s open-source Llama.

LeCun’s long-standing advocacy for open-source AI now appears at odds with the company’s shifting priorities. While he promotes openness for diversity and democratic access, Zuckerberg’s recent memo did not mention open-source principles.

Internally, executives have even discussed backing away from Llama and turning to closed models like those from OpenAI or Anthropic instead.

Meta is pursuing both visions — supporting LeCun’s research arm, FAIR, and investing in a new, more centralised superintelligence effort. The company has offered massive compensation packages to OpenAI researchers, with some reportedly offered up to $100 million.

Whether Meta continues balancing both philosophies or chooses one outright could determine the direction of its AI legacy.

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