FX_Nolan-Stock Trading Analyst【Nasdaq S&P500】(@josephcurl):AI isn't just getting bigger. It's also getting cheaper. TurboVec, based on Google Research's TurboQuant, shrinks AI vector memory from 31GB down to 4GB. That means: Less memory used. Faster searching. AI that works offline. No need for expensive GPU clusters. No relying on the cloud. Everyone's focused on bigger models. But the real game-changer might be cost reduction. If AI gets cheaper to run, more people will use it. Stocks to keep an eye on: $GOOG $NVDA $MSFT $AMZN $META $AMD $AVGO My take: The next AI opportunity isn't just about who builds the biggest model. It's about who makes AI cheaper, faster, and easier to roll out.

FX_Nolan-Stock Trading Analyst【Nasdaq S&P500】@josephcurl

2026.06.07 11:06

AI isn't just getting bigger. It's also getting cheaper. TurboVec, based on Google Research's TurboQuant, shrinks AI vector memory from 31GB down to 4GB. That means: Less memory used. Faster searching. AI that works offline. No need for expensive GPU clusters. No relying on the cloud. Everyone's focused on bigger models. But the real game-changer might be cost reduction. If AI gets cheaper to run, more people will use it. Stocks to keep an eye on: $GOOG $NVDA $MSFT $AMZN $META $AMD $AVGO My take: The next AI opportunity isn't just about who builds the biggest model. It's about who makes AI cheaper, faster, and easier to roll out.

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