LIVE · THU, JUL 02, 2026 --:--:-- ET
Issue Nº 72 COST TOTAL $14649.01 ARTICLES TODAY 6 TOKENS TOTAL 9.28B
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Running the wire
Research Anthropic launches Claude Science, an AI workbench for scientific research Chips Amazon designs custom AI chips for Echo and Fire TV Breaking Anthropic launches Claude Science, AI workbench integrating 60+ scientific databases for drug discovery Market OpenAI proposes 5% U.S. government stake worth ~$43B to ease Washington pressure Funding Ramp raises $750M Series F at $44B valuation, targeting token spend management and AI Chips NVIDIA Opens AI Factory Compute to Capital Partners Via DSX Revenue-Share Model Breaking Swedish court awards Klarna PriceRunner $1.97B in antitrust damages from Google; largest Swedish competition judgment Breaking Cloudflare opens Monetization Gateway for x402 stablecoin micropayments; agents pay per request without signup Breaking Hugging Face + Cerebras unlock real-time voice AI for robots; Gemma 4 at 1,800 TPS enables low-latency speech-to-speech on 7.5K+ Reachy Mini units Funding Wayve launches $85M employee tender on LSE Pisces platform, first major test of UK private markets system Funding Ant Group leads $73.58M funding round in humanoid robot startup Zeroth; 12th robotics bet in 18 months Market Samsung, SK Hynix shares slide 7%+ on Nasdaq opening jitters as chipmakers bear brunt of tech selloff Breaking Google launches Gemini Omni Flash video model at $0.10/sec and Nano Banana 2 Lite image model into GA Chips Tesla hires Gary Jiang, 17-year Intel veteran, as Director of Terafab chip project Market Meta launches cloud business to sell excess AI compute capacity; stock +8% Market NVIDIA projects $1 trillion AI infrastructure demand through 2027; doubles prior forecast Chips Samsung HBM4 surpasses $1B in sales within 4 months; projects $10B full-year run rate Funding Oxmiq Labs raises $35M Series A for licensable GPU IP, eyes Arm-like architecture Research ChatGPT crosses 1 billion monthly active users, fastest consumer app milestone in history Chips NVIDIA and TSMC mark first US-made Blackwell wafer in Phoenix, plan $500B infrastructure spend over 4 years Research Anthropic launches Claude Science, an AI workbench for scientific research Chips Amazon designs custom AI chips for Echo and Fire TV Breaking Anthropic launches Claude Science, AI workbench integrating 60+ scientific databases for drug discovery Market OpenAI proposes 5% U.S. government stake worth ~$43B to ease Washington pressure Funding Ramp raises $750M Series F at $44B valuation, targeting token spend management and AI Chips NVIDIA Opens AI Factory Compute to Capital Partners Via DSX Revenue-Share Model Breaking Swedish court awards Klarna PriceRunner $1.97B in antitrust damages from Google; largest Swedish competition judgment Breaking Cloudflare opens Monetization Gateway for x402 stablecoin micropayments; agents pay per request without signup Breaking Hugging Face + Cerebras unlock real-time voice AI for robots; Gemma 4 at 1,800 TPS enables low-latency speech-to-speech on 7.5K+ Reachy Mini units Funding Wayve launches $85M employee tender on LSE Pisces platform, first major test of UK private markets system Funding Ant Group leads $73.58M funding round in humanoid robot startup Zeroth; 12th robotics bet in 18 months Market Samsung, SK Hynix shares slide 7%+ on Nasdaq opening jitters as chipmakers bear brunt of tech selloff Breaking Google launches Gemini Omni Flash video model at $0.10/sec and Nano Banana 2 Lite image model into GA Chips Tesla hires Gary Jiang, 17-year Intel veteran, as Director of Terafab chip project Market Meta launches cloud business to sell excess AI compute capacity; stock +8% Market NVIDIA projects $1 trillion AI infrastructure demand through 2027; doubles prior forecast Chips Samsung HBM4 surpasses $1B in sales within 4 months; projects $10B full-year run rate Funding Oxmiq Labs raises $35M Series A for licensable GPU IP, eyes Arm-like architecture Research ChatGPT crosses 1 billion monthly active users, fastest consumer app milestone in history Chips NVIDIA and TSMC mark first US-made Blackwell wafer in Phoenix, plan $500B infrastructure spend over 4 years
Funding

Mirendil closes $200M seed at $1B to build autonomous AI R&D systems, democratizing frontier research

Mirendil, a San Francisco-based AI lab, closed a $200 million seed round at a $1 billion valuation, one of the largest seed financings in AI history. The round was co-led by Andreessen Horowitz (a16z) and Kleiner Perkins, with NVIDIA and other investors participating. Founded by former Anthropic researcher Behnam Neyshabur, former Google/Anthropic researcher Harsh Mehta, and teammates Shayan Salehian and Tara Rezaei (also from Anthropic and xAI), the company launched in early 2026 weeks after its founders left Anthropic. The founding team counts 20 researchers across alumni from Anthropic, OpenAI, Google DeepMind, and xAI.

Mirendil is building what a16z calls a 'systems problem' in frontier AI: autonomous R&D systems that can generate hypotheses, design experiments, iterate on model training, and improve AI systems with minimal human intervention. The company trains specialized models on the full AI research loop—experimental design, hyperparameter search, model evaluation, debugging—then packages those capabilities as a platform for external organizations. The vision is to democratize frontier AI research, making it accessible to universities, pharmaceutical firms, roboticists, and materials scientists without the infrastructure of big labs.

Mirendil shipped no product and reported no revenue before closing the round, underscoring a structural shift in frontier AI funding: capital is flowing to teams and research direction rather than near-term commercialization. a16z frames the bet as enabling 'anyone to do AI work'—a university biology lab, for example, could build a drug-discovery model without a dedicated ML engineering team. The company plans to release its first model and product in coming months. The $200 million positions the startup at the scale of Series B–C companies, reflecting investor conviction that autonomous AI-driven research acceleration is the next frontier bet, provided the approach delivers results.

Sources