Meta Platforms is reportedly negotiating a deal to lease computing power to Anthropic, potentially valued at up to $10 billion over two years. The arrangement would help Meta diversify revenue beyond advertising while supplying Anthropic with critical compute infrastructure. Anthropic proposed the deal in June, and both companies retain early exit options.

A new corrigibility research fund housed at Lightcone Infrastructure will award at least $200,000 in grants and prizes during 2026, funded by Peter McCluskey. Roughly half goes to traditional grants (first deadline August 23) and half to prizes for excellent existing work. The fund targets the deeply neglected area of alignment research focused on building AIs that defer to human oversight rather than relying on direct ethical judgment.

A developer built a free, zero-backend grant finder that searches live grants.gov data to help founders and researchers discover relevant federal opportunities. It takes a company description and ranks open grants by relevance using simple keyword matching and deadline weighting, avoiding LLM calls for speed and cost. The tool runs entirely client-side at autogranthunter.com and welcomes feedback.

Five major US tech companies reportedly carry $1.65T in hidden debts tied to opaque AI funding arrangements. The Hacker News post body contains no substantive content beyond a comments link. The headline raises significant questions about AI capital expenditure transparency and financial risk reporting.

Microsoft and Mistral are deepening their partnership through a multibillion-dollar agreement centered on enterprise AI infrastructure. The strategy reflects Microsoft's deliberate choice to build an AI stack it doesn't fully own, likely to diversify dependencies and accelerate deployment options. The article body is truncated, limiting full analysis of the deal's implications.

Bengaluru-based deeptech startup NeuralZome has raised $2.4M in a seed round led by 8X Ventures. The company builds no-code AI agents that let users train off-road robots without writing code, offered through a robot-as-a-service rental model. The funding will support development of teachable AI for industrial and agricultural robotics applications.

Vercel is acquiring Better Auth, the company behind the open source TypeScript authentication library with 4.7M+ weekly npm downloads and 850+ contributors. Founder Bereket Engida and the core team join Vercel to advance agent identity, enabling each AI agent to carry its own scoped, revocable authority rather than running under a shared user identity. The library remains free and MIT-licensed with the same community governance and framework-agnostic support.

Gritt has emerged from stealth with $34 million in funding to develop robots that automate the hardest tasks on construction sites, starting with solar plant construction. The company plans to expand beyond solar into broader construction automation. The brief announcement signals growing investor interest in construction robotics.

Jeff Bezos is backing CuspAI, a startup using AI to discover new materials for chipmaking. Co-founder and CEO Chad Edwards says funding will support labs with foundry partners in Cambridge, Singapore, and the San Francisco Bay Area. The investment signals growing interest in AI-driven materials science for semiconductor manufacturing.

Canadian mattress retailer Sleep Country is acquiring Sleep Number for over $700 million, following Sleep Number's bankruptcy filing last month. The deal consolidates two major North American mattress retailers. This is a retail industry acquisition with no AI relevance.

Prologis's enhanced $18.2 billion takeover bid for London-based logistics real estate peer Segro has been rejected. This marks Prologis's third attempt at acquiring Segro. The deal would have combined two major logistics property operators across the US and UK markets.

Sam Altman proposes Americans receive direct cash payouts to share in AI-generated wealth. The U.S. Treasury simultaneously warns of AI's economic risks and disruptions. These positions frame an emerging policy challenge: how to distribute AI's economic value fairly while managing risks through regulation.

A curated TechCrunch Build Mode best-of episode revisiting conversations with prominent VCs and founder-investors discussing what separates successful funding rounds from failed attempts. Covers investor selection, differentiated go-to-market strategies, understanding portfolio competition, and the signals investors actually evaluate. Essential for founders seeking to understand investor incentives and improve their fundraising approach.

The April 2025 Executive Order prioritizing U.S. maritime dominance creates strong EB-2 NIW opportunities for naval architects, marine engineers, and shipyard professionals who can link their experience to federal shipbuilding and national security priorities. A recent case study demonstrates how to frame decades of maritime expertise against specific federal workforce and technology gaps. The order's policy context—backed by $5B in foreign investment and sustained defense contracts—strengthens the national-importance argument needed for NIW approval.

Sam Altman has proposed giving the U.S. government a 5% equity stake in OpenAI and offered equivalent stakes to rival companies. This signals a major strategic shift toward direct government involvement in frontier AI oversight. The government has transitioned from distant observation to active stakeholder, fundamentally reshaping regulatory dynamics for the entire AI industry.

Norm Ai, a New York-based legal and compliance AI startup, raised a $120 million Series C at a $1.2 billion valuation, achieving unicorn status. Khosla Ventures led the round, marking its first investment in the legal AI sector. Norm Ai joins a small group of legal AI companies valued at $1 billion or more.

Baiju Bhatt, Robinhood's co-founder, shares his entrepreneurial journey from early failures through building Robinhood to launching Cowboy Space Corp., a space-based data center startup, after experiencing $1B in losses. The WSJ interview covers resilience through rejection, rapid growth challenges, COVID's impact, and his strategic pivot to unconventional ventures. His narrative offers lessons in handling failure, fundraising, and market transitions.

Ben Horowitz discusses how Andreessen Horowitz scaled VC through systems innovation, network effects, and relationship-driven economics. He analyzes AI's transformation of business moats, highlighting capital and compute as decisive competitive advantages. The lecture covers organizational culture, leadership principles, and strategic insights for founders navigating AI's impact on venture creation.

David George (a16z) and David Clark (VenCap) discuss why AI companies scale 10x faster than traditional startups and how to identify durable winners. They analyze frontier models, data center constraints, value capture dynamics, and IPO implications. Key insight: top exits are 10x'd in 24 months, but 40% of AI leaders drop annually due to the half-life problem.

The Verge profiles Bill Savitt, the lawyer who cross-examined Elon Musk in Musk v. Altman, showcasing his measured questioning style against Musk's combative responses. The profile examines how Savitt's mild-mannered approach exposed tensions in the high-profile AI industry legal battle. It highlights the contrast between careful cross-examination technique and Musk's complaints that questions were unfairly designed to trick him.