The AI sector has entered an era of unprecedented valuations — with Thinking Machines raising the largest seed round in history and nearly half of all venture capital now flowing into AI. As M.G. Siegler noted on spyglass, OpenAI leads with a $500B secondary valuation, while Anthropic, xAI, and others are pushing past the $100B mark. But as the race tilts from technology to market share and data access, smaller players remain crucial, driving innovation and attracting the att

Meta’s pursuit of AI dominance hit a dramatic note last week with reports that CEO Mark Zuckerberg offered a staggering $1.5 billion compensation package to Thinking Machines Labs co-founder Andrew Tulloch—shortly after the company reportedly declined an acquisition offer. While Meta has denied the claims, the incident underscores the current reality: top-tier AI talent is now the most valuable asset in tech. In a twist of “Airony,” the industry viewed as a threat to human jo

Thinking Machines Labs just revealed they’re building a “multimodal AI” system designed to work with language, visuals, and sound — aiming for what they call “collaborative general intelligence.” Backed by a staggering $2 billion seed round led by a16z and filled with ex-OpenAI talent, the young startup is quickly becoming one of the most closely watched players in the next wave of frontier AI.

What happens when AI systems generate plausible-sounding but completely false information? Welcome to AI hallucinations—fabricated content that's not grounded in context or world knowledge. As AI becomes more sophisticated, distinguishing accurate responses from confident fiction becomes crucial for anyone using these tools.

Thinking Machines is likely building it's own ChatGPT style model given the background of most of its team (shown here). That could position them as an attractive acquisition target from the mega tech corps who are struggling to keep up with Google, Microsoft and OpenAI.