Que desesperación que las compañías sigan empeñadas en ofrecer más mierda hecha con ia.
Quiero una cámara que pueda tomar mejores fotos, no una pinche aberración que nunca existió de un momento que nunca ocurrió.
I can't properly describe to anyone under the age of 30 just how cool the Internet was before Amazon, Google, Meta, and Apple turned it all into a walled garden of garbage and commerce.
🔺NEW: Euro 2028 tickets to cost less than £30 as Uefa commits to affordable pricing
Two tickets for tournament, which will be held in UK and Ireland, will cost less than a parking space at this summer's World Cup
Story by @martynziegler ⬇️
https://t.co/pmf6kCITGX
🚨 so let me get this straight..
this morning Trump announced he's halting attacks on Iran.. someone made $1.5 billion trading on that news 5 minutes before the announcement..
and now tonight.. the Pentagon is weighing deployment of airtroops to Iran..
so the "peace" that someone made $1.5 billion off of.. lasted about 12 hours..
the pause was never peace.. it was a window.. long enough for someone to collect.. short enough for the war machine to reload..
they halted the attacks just long enough for the markets to move.. and now the troops are going in anyway..
you're not watching geopolitics.. you're watching a trade.
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
The Oscarstification of everything involved with football is the worst thing to happen to this sport. Staying hours watching some satanic retards constantly waffling about shit you do not care. Just give me a Somalia-Iran-USA-Venezuela group