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Ilya Sutskever Takes Charge of Safe Superintelligence After CEO Daniel Gross Joins Meta Amid AI Talent War

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Ilya Sutskever, co-founder and former chief scientist of OpenAI, has stepped up to lead Safe Superintelligence (SSI), the AI startup he founded last year, following the departure of CEO Daniel Gross who was poached by Meta Platforms to head its AI products division.

Key Developments

  • Daniel Gross left SSI to join Meta amid an intensifying AI talent war, where major tech companies compete fiercely with lucrative pay and strategic acquisitions.

  • Meta has also tried to recruit Sutskever and acquire SSI, which was valued recently at $32 billion, but Sutskever emphasized the startup’s focus on its mission, despite the interest.

  • SSI raised $1 billion last year aiming to build advanced AI systems that safely surpass human intelligence.

Background on Sutskever and Meta’s AI Push

  • Sutskever previously played a pivotal role at OpenAI but departed following internal leadership turmoil involving Sam Altman in late 2023.

  • Meta CEO Mark Zuckerberg recently created Meta Superintelligence Labs, consolidating the company’s AI efforts after challenges with its Llama 4 model and losing key talent.

  • This new unit will be led by Alexandr Wang (ex-Scale AI CEO) and Nat Friedman (ex-GitHub chief), with Meta investing $14.3 billion in Scale AI to bolster its AI capabilities.

Industry Connections and Meta’s Strategy

  • Gross and Friedman co-founded venture capital firm NFDG, which backs startups including SSI, Perplexity, and Figma.

  • Meta reportedly offered to buy a minority stake in NFDG’s funds, signaling a strategic push to influence key players in the AI startup ecosystem.

  • Gross’s background includes a 2013 startup acquisition by Apple and leadership roles in machine learning and AI at the tech giant.

US AgTech Faces Investment Drought, But Dairy and Solar Sectors Show Promise

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The U.S. agricultural technology (AgTech) sector is experiencing a tough investment climate as macroeconomic challenges, weak commodity prices, and a slow agricultural cycle weigh on funding and valuations. AgTech, which includes precision farming, biotech, and data analytics, aims to boost farming efficiency but has seen venture capital decline.

PitchBook data shows that AgTech venture funding fell to $1.6 billion across 137 deals in Q1 2025 — a 25% drop in deal count and a 3.6% decline in capital compared to the previous quarter.

Tom Brennan, partner at McKinsey & Co., noted, “AgTech’s challenges aren’t unique. This is part of a broader venture capital correction, especially outside AI.”

However, precision farming, which employs automation, robotics, and data tools to address labor shortages and increase accuracy, continues to attract strong investor interest. Over the trailing 12 months, precision agriculture deals reached $1.82 billion, with robotics and smart field equipment seeing a 48.5% growth in value.

Vasanth Ganesan from McKinsey highlighted the labor shortage factor: “About 40% of U.S. agricultural labor is likely undocumented, driving demand for robotics and automation.”

Monarch Tractor, based in California, is gaining traction in autonomous equipment, especially in dairy farms. CEO Praveen Penmetsa said their autonomous feed-pushing feature has been well-received by cooperatives such as Dairy Farmers of America.

Solar land management also presents growth opportunities, using robotic tractors to maintain solar farms—a sector driven by utilities powering AI data centers. Penmetsa added, “We’re collaborating with top North American solar developers and expect major partnerships soon.”

Industry giants like John Deere and Caterpillar are expanding their automation offerings, signaling growing strategic interest and clearer exit pathways for AgTech startups.

Experts forecast a potential capital market rebound in H2 2025, benefiting established companies poised for scale, provided trade tensions do not prolong disruptions.

Applied Intuition Surges to $15 Billion Valuation After $600 Million Investment Boost

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Applied Intuition, a leading autonomous vehicle software firm, has secured $600 million in a new funding round and tender offer, doubling its valuation to $15 billion, underscoring a renewed investor confidence in the self-driving vehicle sector.

The round was co-led by BlackRock-managed funds and Kleiner Perkins, with additional support from Franklin Templeton and the Qatar Investment Authority. The funding marks a significant jump from the startup’s previous valuation of $6 billion in March 2023, which included backing from Porsche—its first investment from an automaker.

Founded in 2017 and based in Mountain View, California, Applied Intuition develops software platforms for autonomous systems used in vehicles, defense, and logistics. The company counts major automotive brands like Toyota and Volkswagen among its customers.

CEO Qasar Younis stated the funds would fuel expanded investments in intelligent mobility technology, aiming to integrate autonomous capabilities into a wide range of vehicles and machinery.

Applied Intuition’s rise comes amid a broader resurgence of investor interest in autonomous driving, bolstered by expectations of regulatory easing under the Trump administration, including potential exemptions from certain safety standards.

Last week, the company also announced a new partnership with OpenAI, aimed at embedding generative AI into driving experiences to create more personalized vehicle behavior.