A few days ago, a group of researchers at Google dropped a PDF that didn’t just change AI: it wiped billions of dollars off the stock market.
If you looked at the charts for Micron (MU) or Western Digital last week, you saw a sea of Red. Why? Because a new technology called TurboQuant just proved that we might not need nearly as much hardware to run giant AI models as we thought.
But don’t worry a...
By addressing the memory bottlenecks in AI models, TurboQuant challenges the belief that scaling AI requires more hardware. Instead, it focuses on using what we already have more intelligently. This shift could lead to a future where AI efficiency becomes as critical as raw compute power, and large models can be run on smaller, more affordable hardware.
In the context of influence operations, TurboQuant's potential impact on the AI industry and global economy makes it an attractive target for na...