Thinking Machines' $2B Gamble: Is It Possible for a Team of 100 to Shape the Future on Unstable Ground?

Massive Funding Fuels Thinking Machines Lab

Thinking Machines Lab has secured a remarkable $2 billion in new funding, pushing its valuation to $12 billion. This investment, led by a16z, Nvidia, and other major backers, supports a startup founded by former OpenAI engineers. Their mission is to make advanced AI more accessible and scalable for everyone.

Introducing Tinker: Simplifying AI Model Customization

The company’s flagship product, Tinker, streamlines the complicated process of fine-tuning cutting-edge AI models. By automating these tasks, Thinking Machines Lab hopes to empower a wider community of developers and researchers with powerful AI tools.

Vision for Fully Automated Companies

Thinking Machines Lab is betting on a future where businesses operate with minimal human involvement. Inspired by industry voices like Daniel Miessler, the company is building technology that enables organizations to replace traditional labor with AI-driven automation, aiming for unprecedented efficiency.

OpenAI Talent Returns: Major Team Departures

Recently, three founding members, including Brett Zoph and Luke Metz, have left Thinking Machines Lab to rejoin OpenAI. Their departure, along with their equity stakes, represents a significant liquidity event for OpenAI.

Reports indicate that the exodus could be even larger, with up to half the team rumored to be leaving. Many cite lucrative offers from OpenAI as the main reason, underscoring the fierce competition for top AI talent where cash incentives often outweigh equity in new ventures.

This wave of departures, coming right after the $2 billion fundraising, threatens the startup’s foundation. The vision of building a new, efficient AI lab is challenged as key team members—including cofounders—return to the company they originally set out to disrupt.

Strategy Spotlight: Absolute Momentum Long-only

Trading Rules

• Enter a long position in SPY when the 252-day rate of change is positive and the price closes above the 200-day simple moving average (SMA).
• Exit the position if the price falls below the 200-day SMA, after holding for 20 trading days, or if a take-profit of +8% or stop-loss of -4% is triggered.

Risk Management

• Take-Profit: 8%
• Stop-Loss: 4%
• Maximum holding period: 20 days

Backtest Results

• Strategy Return: 8.86%
• Annualized Return: 4.52%
• Maximum Drawdown: 5.29%
• Profit-Loss Ratio: 1.34

Trade Metrics

Key Drivers and Challenges on the Road to $12 Billion

The immediate focus is on the launch of Tinker, which will test the company’s approach to automated, scalable AI. If the product quickly gains traction, it could validate the business model and attract further investment, confirming demand for accessible frontier model tuning.

However, the main risk is another wave of departures. OpenAI’s aggressive recruitment has already destabilized Thinking Machines Lab. Without a strong, cohesive culture, the company risks losing more talent, which could jeopardize its ability to deliver on its ambitious goals.

This uncertainty extends to Mira Murati’s leadership. Her previous stint as OpenAI’s interim CEO and a turbulent year raise questions about her capacity to unite and retain a team in a competitive environment. Achieving a $12 billion valuation now depends on her ability to succeed where she previously struggled: keeping her team together and focused.