BBAD

Here for the tv chatter and snark

[BBAD @bbadfan2]

@AndyHerren So very sorry for your great loss
There are no (other) words
💜

[Rock'n Roll of All @rocknrollofall]

No rehearsals, no warm ups, 74 year old and still sound amazing. That's talent at its best.'

John Fogerty of Creedence Clearwater Revival performing an incredible impromptu acoustic version of 'Have You Ever Seen the Rain' live on the Conan O’Brien Show in New York City.

[BBAD @bbadfan2]

@Rainmaker1973

[Buitengebieden @buitengebieden]

A rare moment as a kagu bird on the brink of extinction meets its own kind.. 😊

[Kevîn @revoluttie]

Bruce Lee efsanesi! 1970 TV şovunda inanılmaz performans sergiliyor. Nadir görüntüler

[Bussin' With The Boys @BussinWTB]

Never forget the greatest SNL skit ever made

[The Rubber Chicken🇨🇦 @Gunblaze1969]

This is madness

[Rock'n Roll of All @rocknrollofall]

Curt Smith of Tears for Fears performing 'Mad World' with his daughter, on acoustic guitars, during the pandemic, in 2020.

This might be the best thing you'll watch today.

[Dr. Jebra Faushay @JebraFaushay]

I’m shook. This is Willie Nelson in 1965.

I assumed he always had long braids, a wrinkled face, and went around in a cloud of weed smoke.

[DaVinci @BiancoDavinci]

Next level paper toys, designed by a Japanese artist

[All The Right Movies @ATRightMovies]

ALFRED HITCHCOCK said his cameos began when he filled in for a missing extra, then became a superstition and running joke, and finally a necessity because audiences expected to spot him.

[Curiosity @CuriosityonX]

🚨: This isn’t our Galaxy. 😳

You’re looking at billions of stars in the Andromeda galaxy, captured by the Hubble Space Telescope—and almost every one likely has planets. Let that sink in.

[Massimo @Rainmaker1973]

If you can make 65,000 people sing in sync 33 years after your death, you're not just a singer but a legend

[BBAD @bbadfan2]

@AngelaKarnes @crunchbar 💯@AngelaKarnes Sweet & Salty, just like us (You know which one YOU are 🤣) Sigh. We both have our moments 😂

[Massimo @Rainmaker1973]

Jon Batiste transforms Beethoven and stuns Chris Wallace
https://t.co/vLJ6aCbiDX

[BBAD @bbadfan2]

@realitynany Bring back RobC & Da’Vonne together YES

[BBAD @bbadfan2]

@ashleyhollis_ @realitynany @BTRsParker Give it a chance. UK has civilians and it is really good.

US should mostly do celebs but lessee how the civi version goes. Maybe do one of each every season??

[Grace Gym🏋️‍♀️ @GraceGym_]

This drawing was made by writing "Snoopy" over 3,970 times 🖤

[Aakash Gupta @aakashgupta]

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.

[BBAD @bbadfan2]

@robcesternino lol