The Next Consumer is a Computer
Meta’s Muse illustrates how persistent AI agents shift compute from per-query to per-user, driving heavier GPU, CPU and memory demand.
Meta’s Muse illustrates how persistent AI agents shift compute from per-query to per-user, driving heavier GPU, CPU and memory demand.
These benchmarks are great, but I'm waiting to see how it does in the bridge benchmark :) also - probably should be long $GOOG https://t.co/5hdtMmiq4H https://t.co/4B1R4VX3J5
Gemini 4 - "Across most benchmarks, Gemini 4 Argon beats OpenAI’s and Anthropic’s top models by a wide margin, and when it doesn’t, it is generally within striking distance of its competition." - New Stack $GOOG ripping. So back https://t.co/3mF0pFC7WN https://t.co/hybzgxCRRC
@WallStRollup Somebody call Steve Carell $FICO https://t.co/5Jbu90YpSL
@NthObject89773 @pradeeepk Given $APP's sketchy history of using data, rather ironic that they would complain about a little turnaround of their tactics.
@svrnco @ASchulz888 @irbezek Hmm... $TLT implied vol is <15% for the January '29 expiry. Looks like an ATM straddle pays off if rates move by at least 1.5 percentage points in either direction. Probably not a bad trade.
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Meta’s Muse strategy targets the consumer internet through a Trojan-horse product.
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