El bloqueo de la izquierda para formar una coalición de partidos es, en realidad, un problema de Madrid y la fractura de Vistalegre II: pablistas y errejonistas. Es trágico que, en este momento histórico, los que capitalizaron el 15M, lo acabarán enterrando en la plaza del 26S.
Uber burned $3.4 billion on AI in four months. Their COO now says it's not paying off. And everyone's blaming Uber instead of asking the obvious question.
This is Uber. Not some seed-stage startup guessing.
They have more data than most countries. They ran the experiment. They have the answer.
It didn't work.
And I need everyone to stop rushing to the comfortable take here.
The comfortable take is "well Uber is a big dumb corporation, solopreneurs use AI way better." I've seen it a hundred times this week. It's cope.
Uber gave thousands of the highest-paid engineers in tech access to the best AI tools on the planet. If anyone was going to crack AI ROI, it was literally them.
They didn't crack it.
Not because the tools are bad. The tools are incredible at generating output. They're just terrible at generating outcomes.
And nobody wants to talk about that difference.
Output: more code, more text, more analysis, more everything, faster.
Outcome: did the product get better? Did revenue move? Did a single user notice?
Uber's answer is no. More tokens burned. Nothing to show for it.
And if you think this is just a big company problem, be honest with yourself for a second. How much of your AI usage last month actually made you money? And how much of it just made you feel productive?
Because those are two completely different things.
The whole AI productivity story is built on measuring speed, not results. We count how fast something got done. We never stop to ask if it needed doing at all.
AI makes you faster at producing things. It doesn't make you better at deciding what to produce. And for most people the bottleneck was never speed. It was judgment.
Andreessen said it on Rogan two days ago. The guy funding half the AI industry. He admitted AI is making people less efficient. Not because the tools are slow.
Because people use them for everything, including stuff that didn't need doing, then spend more time fixing the output than it would've taken to just do it themselves.
Uber just proved that at $3.4 billion scale.
Here's the question nobody wants to sit with:
What if AI ROI is real, but only for a tiny number of very specific tasks? And everything else is just expensive motion that feels like progress?
What if the honest math is: AI saves you 10 hours a month on 3 things and wastes 15 hours on everything else you started doing just because AI made it easy to start?
That's not a tool problem. That's a human problem.
We're bad at restraint when something feels free and fast.
And every company selling you AI access has zero incentive to help you use less of it.
The ones who actually win with AI won't be the ones who use it the most.
They'll be the ones who figure out when to close the tab.
Nobody's selling that skill. There's no money in it.
Un #gatmesquer, o #geneta, a #lesBorgesDelCamp.
No havia aconseguit grabar aquest vivèrrid durant tanta estona.
El mot "mesquer" prové del perfum "mesc" (del sànscrit "muskà", testicle).
I el de geneta, de l'àrab "zenete" (genet), Aquests decoraven les montures amb la seva pell
Amb son germà, lo comte de Cerdanya,
com àliga que a l’àliga acompanya,
davalla Tallaferro de Canigó un matí;
ve amb son fill de caçar en la boscúria,
quan al sentir-hi mística cantúria
se n’entra a l’ermitatge devot de Sant Martí.