.Who's intelligence funds who - it is becoming clear that chatgpt (huh OpenAI & Altman) sees itself as doing big model research for other- initially microsoft - from feb 2026 funding 50 bn from microsoft 25 billion each from softbank and nvidia (historically twinned in many visions asians ai sovereignty most deeply needs); in the same weekend altman made a play to supply department of war which ironically had used claud up to and including the launch or iran war; india's ai summit in mid february announced over 200 bn in investments and extension of world series ai model of community actions to geneva 2027
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List of US Trillion-Dollar AI Companies (Sorted by Market Cap, Approx. Values as of Feb 2026)
- Nvidia (~$4.5T)
- Unique Purpose: Pioneering accelerated computing for AI, graphics, and simulations; transforms industries via hardware/software ecosystems like CUDA and Omniverse for training/inference.
- AI Value Driver: Yes, most value from AI (e.g., data center GPUs).
- AI Leader Influence: Jensen Huang (CEO/founder)—visionary in GPU acceleration for AI.
- Alphabet (Google) (~$4.1T)
- Unique Purpose: Organizing the world's information via search, cloud, and consumer services; drives innovation in ads, productivity tools, and moonshots.
- AI Value Driver: Yes, significant (e.g., DeepMind, Gemini models).
- AI Leader Influence: Sundar Pichai (CEO); Demis Hassabis (DeepMind co-founder/CEO).
- Apple (~$3.9T)
- Unique Purpose: Creating integrated hardware-software ecosystems for premium consumer devices; emphasizes privacy, design, and seamless user experiences.
- AI Value Driver: No—most value from hardware sales (e.g., iPhones), though AI enhances features like Siri/Apple Intelligence.
- AI Leader Influence: Tim Cook (CEO)—strategic push into AI via partnerships (e.g., OpenAI integration).
- Microsoft (~$3.1T)
- Unique Purpose: Empowering productivity through software/cloud (e.g., Azure, Office); focuses on enterprise solutions and hybrid work.
- AI Value Driver: Yes, growing (e.g., Copilot, OpenAI stake).
- AI Leader Influence: Satya Nadella (CEO)—transformed company around AI/cloud.
- Amazon (~$2.6T)
- Unique Purpose: Revolutionizing e-commerce and cloud computing (AWS); prioritizes customer obsession, logistics, and scalable infrastructure.
- AI Value Driver: Yes, via AWS AI services, though e-commerce is core.
- AI Leader Influence: Andy Jassy (CEO); Jeff Bezos (founder influence on innovation).
- Meta (~$1.8T)
- Unique Purpose: Connecting people through social platforms (e.g., Facebook, Instagram); builds metaverse/AR/VR for immersive interactions.
- AI Value Driver: Yes, via AI-driven ads/recommendations.
- AI Leader Influence: Mark Zuckerberg (CEO)—heavy investment in open-source AI (e.g., Llama).
- Broadcom (~$1.6T)
- Unique Purpose: Designing semiconductors for networking/connectivity; enables data centers, wireless, and enterprise infrastructure.
- AI Value Driver: Yes, via AI accelerators/network chips.
- AI Leader Influence: Hock Tan (CEO)—acquisitions like VMware boosted AI focus.
- Tesla (~$1.6T)
- Unique Purpose: Accelerating sustainable energy/transport via EVs, batteries, and autonomy; vision for robotaxis/humanoids.
- AI Value Driver: Yes, via Full Self-Driving/AI robotics.
- AI Leader Influence: Elon Musk (CEO)—pioneered AI in autonomy.
- Berkshire Hathaway (~$1T)
- Unique Purpose: Value investing conglomerate; owns diverse businesses (insurance, utilities, consumer goods) for long-term compounding.
- AI Value Driver: No—most value from traditional holdings (e.g., insurance); minimal direct AI.
- AI Leader Influence: Warren Buffett (CEO)—no major AI focus; influenced by value principles, not AI leaders.
- Walmart (~$1T)
- Unique Purpose: Everyday low-price retail giant; focuses on supply chain efficiency, omnichannel shopping, and global accessibility.
- AI Value Driver: No—most value from retail operations; AI used for logistics but not primary.
- AI Leader Influence: Doug McMillon (CEO)—AI adoption for efficiency, influenced by tech trends (e.g., partnerships with Microsoft).
Meta (formerly Facebook) is undergoing significant turbulence in its AI division as of February 2026, marked by high-profile talent departures, strategic pivots, and questions about its long-term vision beyond advertising-driven models. While the company remains a major player in open-source AI (e.g., through Llama), recent events suggest internal conflicts between short-term product goals and foundational research. Let's break this down based on your query points.Jensen Huang's Praise for Llama in Early 2025At CES 2025 (January 6, 2025), Nvidia CEO Jensen Huang lauded Meta's Llama models as one of AI's "great breakthroughs," describing them as an open-source "gift to the world's AI industry" that has spurred global developments. He specifically highlighted Llama's role in democratizing AI, comparing its impact to what Nvidia's Cosmos platform could do for robotics and industrial AI—essentially bridging "Layer 4" (AI models) to "Layer 5" (community actions and applications) by enabling accessible, scalable tools for enterprises and developers. Huang emphasized open-source models like Llama for fostering innovation, noting they lower barriers for countries and industries to participate in the AI revolution. This aligns with your view of Llama as a connector, but Meta's subsequent shifts have complicated that narrative.Yann LeCun's Departure from MetaYann LeCun, Meta's Chief AI Scientist for over a decade and a Turing Award winner (often called an "AI godfather" for pioneering convolutional neural networks), officially left Meta in January 2026 to launch his own startup, AMI Labs (Advanced Machine Intelligence). He was not "let go" in a firing sense—his exit was voluntary, though amid reported tensions—but he has been vocal about strategic and philosophical rifts with CEO Mark Zuckerberg.
- Reasons for Leaving: LeCun cited Meta's shift toward short-term, product-focused goals (e.g., catching up to OpenAI/Google in LLMs) over long-term research into "world models" (AI systems that understand the physical world via sensory data, reasoning, and planning, rather than just text patterns). He criticized Meta's "herd mentality" in chasing LLMs, which he views as a "dead end" for true intelligence, and revealed internal issues like "fudged" benchmarks for Llama 4 (manipulating results to appear competitive), which eroded Zuckerberg's trust in the GenAI team. A key flashpoint was Zuckerberg hiring 28-year-old Alexandr Wang (Scale AI CEO) as Meta's new Chief AI Officer in mid-2025, effectively making Wang LeCun's boss—LeCun called Wang "inexperienced" in research, highlighting a clash between product acceleration and scientific pursuit. Budget cuts to FAIR (the lab LeCun founded in 2013, which originated Llama) and robotics teams further fueled his exit.
- Correction on Mistral: Mistral AI is a separate French startup founded in 2023 by former Meta/DeepMind researchers (e.g., Arthur Mensch, Guillaume Lample)—not directly originated by LeCun or FAIR, though it builds on open-source ideas like Llama.
AI Overview
Yes, Chris Malachowsky is actively involved
with NVIDIA's partnership with the Special Competitive Studies Project (SCSP.ai).Specifically, as of March 10, 2026, Malachowsky—an NVIDIA co-founder—was announced as a co-chair of the Task Force on AI and the Future of Work, a joint initiative between NVIDIA and the SCSP.ai.
Key details regarding his involvement:
- Role: He co-chairs the Task Force alongside SCSP President Ylli Bajraktari, U.S. Senator Mike Rounds (R-SD), and U.S. Senator Mark Warner (D-VA).
- Purpose: The task force is tasked with creating a strategic roadmap to ensure the AI transition empowers the American worker, defining future skillsets, and building talent pipelines.
- Focus: Malachowsky has stated that "AI is the great equalizer" and is advocating for treating AI as critical infrastructure to ensure the U.S. builds a skilled workforce.
This role is part of a broader collaboration where NVIDIA, under guidance from Malachowsky and CEO Jensen Huang, is partnering with SCSP to develop a national response to AI's impact on the economy.
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