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.
@RitzerAdam @valuedontlie Motion Spin o might trade at a persistent discount to $AIT and dividend focused $GPC funds will punt it as well. Maybe there is a run-up to $140 pre-spin, but I’d be more comfortable adding sub <$120 here.
Apes are having a good time. $AMC is up. Hooray
@newmork Do the work. Pokemon is not slowing down. It is not 100% of sales either. When Pokemon fizzles out, One Piece is right behind them. Funko was a large part of $GME sales and then the next collectible replaced them when the fad fizzled.
In Austin trying $CAVA for the first time. Ngl it's pretty good. Not sure it's 80x earnings good, but it's good.
We’re 3+ years into the AI trade. If you spent less than 10 hours this weekend researching $META ‘s Muse launch traction and mapping the market beneficiaries so you could initiate trades overnight or at this morning’s open wtf are you even doing with your time as a trader?
@valuedrift I was watching this and $GEO rally for months and finally put the short on myself... absolutely silly up here.
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Meta’s Muse AI compiled dossiers on vulnerable Facebook and Instagram users, bypassing safeguards with minor prompt changes.
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