"We're in a unique moment for AI companies building their own foundation model. First, there is a whole generation of industry veterans who made their name at major tech companies and are now going solo. You also have legendary researchers with immense experience but ambiguous commercial aspirations. There's a clear chance that at least some of these new labs will become OpenAI-sized behemoths, but there's also room for them to putter around doing interesting research without worrying too much about commercialization."
"To make things simpler, I'm proposing a kind of sliding scale for any company making a foundation model. It's a five-level scale where it doesn't matter if you're actually making money - only if you're trying to. The idea here is to measure ambition, not success. Think of it in these terms: Level 5: We are already making millions of dollars every day, thank you very much. Level 4: We have a detailed multi-stage plan to become the richest human beings on Earth."
A new generation of AI labs includes industry veterans and renowned researchers with unclear commercial goals. Some labs may become massive companies while others will focus on exploratory research without prioritizing monetization. A five-level sliding scale measures ambition rather than financial success, ranging from self-actualization to explicit multi-stage wealth plans and daily multimillion-dollar revenue. Major incumbents occupy the top tier, while newer labs vary and can choose their level freely given abundant funding. Investors often overlook concrete business plans, enabling labs to prioritize research or profit. Ambiguity about true intent creates practical and evaluative challenges.
Read at TechCrunch
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