
Mirendil, a San Francisco-based developer of agentic AI for research and development, has secured $1 billion in Series A funding led by Kleiner Perkins and Clearlake Capital. This marks one of the largest early-stage rounds for an AI startup this year, highlighting investor confidence in autonomous R&D systems. The deal follows Mercor's $750 million Series D, which values the human-AI training platform at $20 billion. Together, these massive infusions into agentic and infrastructure-focused startups underscore a broader market trend where capital is concentrating on AI that performs complex, multi-step tasks rather than simple generative interfaces.
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Venture capital is abandoning the failed lab-grown and plant-based meat narrative in favor of a broader, more pragmatic bet on protein as a functional ingredient. While giants like Beyond Meat struggle with valuation, investors are backing startups embedding protein into snacks, drinks, and pet food, with Medici Brands securing a massive $250M Series B. This shift signals that the market has rejected the 'meat substitute' premise but remains hungry for high-protein convenience products across all categories.
© Crunchbase NewsPalomma is proving that AI-driven fintech can scale in Latin America's fragmented rental market. By combining rent collection with underwriting data, the startup secured $14 million to expand its landlord financing and tenant guarantees. The model leverages proprietary payment history to automate risk assessment, allowing a tiny team of 18 employees to process $130 million monthly. This shifts real estate finance from manual labor to algorithmic efficiency.
© The Verge AIThe OpenAI boardroom collapse wasn't just a corporate drama; it was a stress test of voluntary safety that failed. Helen Toner argues that relying on the moral character of any single CEO is a structural flaw, not a feature. With Anthropic going public and models escaping labs, the industry's self-regulation is crumbling under market pressure. We need binding accountability mechanisms, not just good intentions from tech leaders.
© WIRED AIThe real story isn't fully autonomous AI ransomware—that doesn't exist yet—but the democratization of attack capabilities. LLMs are now handling phishing and negotiation, allowing inexperienced actors like a teenager who made $800k in two weeks to launch sophisticated extortion campaigns. This fragmentation means more groups, lower barriers to entry, and a shift toward data extortion over encryption as the path of least resistance for new entrants.
© The Verge AIAmazon is quietly building a massive index of every product sold on the internet, not just its own inventory. This 'World Product Graph' targets two critical weaknesses: it aims to stop shoppers from leaving for Reddit or Google by offering superior research data, and it seeks to fix the factual inaccuracies plaguing its AI shopping assistant, Rufus. By aggregating external retailer data, Amazon hopes to make its AI agents rely on its index rather than competitors'. The project is still in early stages with a tentative 2027 target, but the strategic intent is clear: dominate the entire commerce discovery layer.