To me, few things can give more pleasure in life than going from having ABSOLUTELY NO CLUE of what a #text in another #language says, to CLEARLY UNDERSTANDING what it means.
#langtwt#astronomy
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.
Since April, my approach to #LanguageLearning has evolved in unexpected ways.
My daily use of @language_drops has dropped drastically, while my use of #LLMs has grown significantly.
I've developed a customized, cellphone-based #methodology.
More on this in the next posts 😉.
@majosevn 🔹El hombre en busca de sentido https://t.co/rwmJ25VlGV
🔹La madeja del pensamiento https://t.co/DMfeKvn4ZM
🔹La revolución de una brizna de paja https://t.co/75k7Co37Ur
🔹The deep hot biosphere https://t.co/KTNp0fUQpa
🔹The way of the superior man https://t.co/lYGWf6eUEv
@jofrellombart @GerardInsa @moa_pio Jo cap a l'any 2001 em vaig canviar el nom al DNI. Als meus pares els havien obligat a posar-lo en castellà, el vaig canviar al català.
@Claudiacatalana Val a dir que el català està en perill sobretot (però no únicament) perquè ens l'estem carregant nosaltres mateixos, cada vegada que -a la primera de canvi- ens passem al castellà, com bé saben a @mantincelcatala.
Una llengua que no es parla, és una llengua inexistent.
@majosevn 🔹vol passar més temps amb tu
🔹quan et veu se li alegra la cara
🔹t'escolta
🔹no et pressiona
🔹sap i accepta que ets lliure
🔹sempre que ho necessites està disponible
🔹s'alegra dels teus progressos
🔹compta amb tu
🔹notes la seva felicitat
🔹et parla clarament
🔹confia en tu
@soler_toni El trist no és que el #català estigui pràcticament acabat.
El trist és que ENS L'ESTEM CARREGANT NOSALTRES MATEIXOS.
I el que és encara més trist és que, segons la meva experiència, molts immigrants EN REALITAT AGRAEIXEN QUE SE'LS PARLI EN CATALÀ.
EL VOLEN APRENDRE❕