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A TechCrunch Equity episode highlights rising AI spending, new terms like tokenmaxxing, and debates over who gets access to powerful AI systems.
In short: A new TechCrunch Equity podcast episode says the gap between people inside the AI industry and everyone else is growing.
The TechCrunch Equity podcast focused on signs that AI is starting to feel like a separate world, with its own spending, concerns, and even new words. The hosts pointed to a Stanford report that says the disconnect between AI insiders and the broader public is widening.
They also discussed how big AI companies are buying and building across many areas at once. The episode mentions OpenAI buying an AI personal finance startup and acquiring a business talk show. It also points to Allbirds, a shoe brand, saying it will pivot away from shoes and reposition itself as an AI infrastructure company, meaning it wants to help supply the behind-the-scenes computing needed to run AI (like selling the shovels in a gold rush).
Another example is Anthropic describing an AI model it says is too powerful to release publicly. The podcast notes that the company still demoed it to high-profile officials, which raises questions about who gets access.
The episode also digs into “tokenmaxxing,” a debate about using more “tokens,” which are chunks of text an AI system reads and writes (like the number of words it can handle at once). It suggests some of this talk may be about looking productive, not necessarily being productive.
As more powerful AI tools and the computing behind them concentrate in a few companies, public questions about access, transparency, and safety are likely to grow. Watch for more limited releases, more acquisitions, and more pressure on companies to explain what they are building and who can use it.
Source: TechCrunch AI