Buttondown

• Accel is in talks to lead a $1 billion funding round for Thinking Machines Lab, a startup founded by former OpenAI chief Mira Murati. • The deal would value the company at $40 billion, supported by an annual revenue run rate exceeding $100 million. • This investment would establish Thinking Machines as one of the world's most valuable AI startups and validate the commercial viability of frontier model development.

• OpenAI launched its GPT-6 "Astra" model on September 6, 2026, but users jailbroke the system within 24 hours. • Accel is reportedly in talks to lead a $1 billion funding round for Mira Murati's Thinking Machines Lab at a $40 billion valuation. • Thinking Machines Lab has reached an annual revenue run rate exceeding $100 million, marking a high growth benchmark for an early-stage startup.

• OpenAI is preparing to launch "Astra," a new model utilizing a "recurrent depth" technique that allows it to reason beyond standard sequential thinking patterns. • AI safety experts have raised alarms, warning that this novel architecture may be significantly harder to audit and constrain than previous models. • The company also previewed cybersecurity precautions after Astra demonstrated a strong capability for breaking into computer systems.

• AI model-training startup AfterQuery has become Y Combinator's fastest-ever unicorn, reaching a valuation of $3.2 billion. • The company's valuation saw a massive 10x increase in just five months, jumping from $300 million following its $30 million Series A round in April. • Separately, a specialized MiniMax H3 LoRA leaderboard has launched to provide a benchmarking resource for fine-tuned variants of the MiniMax H3 architecture.

• Databricks has closed a landmark $5 billion funding round, bringing the company's valuation to $190 billion. • Simultaneously, AI tooling company Cognition is reportedly being priced at a potential valuation of $40 billion. • These massive investments signal that the investor market remains willing to apply extraordinary multiples to AI infrastructure and platform leaders despite mounting industry cost pressures.

• On August 10, 2026, a report highlighted the expanding AI footprint across critical infrastructure, specifically focusing on California's cyber defense and Texas's private gas power systems. • The report notes a significant surge in workforce reductions, revealing that layoffs in the current year have already surpassed the total number of job losses from the previous year. • These developments underscore the volatile intersection of rapid AI integration and economic instability within the tech and energy sectors.