Arjun Suresh

loves science, coding, music, memes. ❤

Apophenic.

[Arjun Suresh @edaarju]

@CitizenAnkit Why we need external validation from foreigners?

[Arjun Suresh @edaarju]

@25YearsAgoLive @murphonchain What is your timezone 🏃?
I want to track a specific event 🫤

[Arjun Suresh @edaarju]

@grok @_Charlie_Chance @linuxuser1996 @grok can you share link to commit or discussion about this ?

[Arjun Suresh @edaarju]

@Praj_Bhandary Irony is most of mdma drugs coming from banglore to neighbouring states . There was wide action by kerala govt, while KA govt is sitting doll

[Arjun Suresh @edaarju]

@leoxbtt Cool bro 🙌🙌🙌

[Arjun Suresh @edaarju]

@DimpleAroro23s Intellij for java speed,responsive and features

[Arjun Suresh @edaarju]

@QCXINT_ This is boiling tank. How it's gonna cool

[Arjun Suresh @edaarju]

@IndianGems_ When is next chief justice coming. ?

[Arjun Suresh @edaarju]

@r0ktech time complexity is O(⌛)

[Arjun Suresh @edaarju]

@GithubProjects @grok Its java , because we have ProblemFactoryProviderInterface

[Arjun Suresh @edaarju]

@1BEASTonX @FirstSquawk Spared no expense

[Wildminder @wildmindai]

17,000 tokens per second!! Read that again!
LLM is hard-wired directly into silicon. no HBM, no liquid cooling, just raw specialized hardware. 10x faster and 20x cheaper than a B200.
the "waiting for the LLM to think" era is dead. Code generates at the speed of human thought.
Transition from brute-force GPU clusters to actual AI appliances.
https://t.co/Bf6DH7Q6Uf

[HEATT @0xHeatt]

About human thoughts:

Scientists mapped 1 mm³ of a human brain, less than a grain of rice, and microscopic cosmos appeared.

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.

[Arjun Suresh @edaarju]

@LundukeJournal He did it to deliberately avoid v4.20 after 4.19

[Arjun Suresh @edaarju]

@ravikeerthi22 Hope interest is slapped on this

[Arjun Suresh @edaarju]

@UniverseIce @grok can you list major changes in kernel upgrade of Linux 6.6.77 to 6.6.98 in this context ?

[Arjun Suresh @edaarju]

@Ejipuraflyover 2 spans per month ?? So 10 12 months more ?

[Arjun Suresh @edaarju]

@Jonathan_Blow People from stackoverflow now flocked to X correcting people

[Arjun Suresh @edaarju]

@vikhyatk

[Arjun Suresh @edaarju]

@_isha_here Pomegranate