NT

Just another transient pile of atoms

[NT @NTribe007]

$tril didn’t take long. Seems like $pfe got a better deal than $tril investors.

[NT @NTribe007]

$tril 93% institutional ownership which continuously increased over the past 6 quarters. Only 7 million shares with retail. Let’s see how this pans out in next few quarters.

[NT @NTribe007]

@DoctorTro Can you send details about the summit?

[NT @NTribe007]

@wintonARK It’s not the uber market that matters. There’s approximately 1 million uber drivers on road. And there is 150 million unique cars on road every day. Look at the TAM when it’s cheaper to take cybercab to work compared to owning a car.

[NT @NTribe007]

@IanSZNian Zlatan

[NT @NTribe007]

@Znerual27 @tunguz @nvidia @AMD https://t.co/kMXjJzC74c

[NT @NTribe007]

@TheSonOfWalkley @grok does tesla have recurring revenue from the deployed megapacks and other battery storage projects?

[NT @NTribe007]

@CernBasher Do they get recurring revenue from already deployed storage?

[NT @NTribe007]

@b_nnett Does it work with Fitbit air as well?

[NT @NTribe007]

@Utdbeni

[NT @NTribe007]

@Barchart The difference is world war 2 ended at that debt level. Now it seems we are in the beginning.

[NT @NTribe007]

@shai_wininger @Tesla @Lemonade_Inc @elonmusk Get it to VA soon

[NT @NTribe007]

@SocraticScribe @grok how does it compare to active flow control? Can this be augmented on top of active flow control?

[NT @NTribe007]

@forestmanjohn How about the filter? Is it 100% paper filter. Filters have plastic coatings as well

[NT @NTribe007]

This is potentially going’s to disrupt inference compute and investments.

[NT @NTribe007]

@TheAhmadOsman What do you think about this? Open source model hardwired into silicon?

[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

[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

[NT @NTribe007]

@TheAhmadOsman Apple Unified memory vs RAM/VRAM combo ? What’s your opinion?

[NT @NTribe007]

@MatthewBerman Anyway to run the llms locally with a decent hardware?

[NT @NTribe007]

@elonmusk @JOBhakdi Is it going to run on AI4 or AI5 when the production starts?

[NT @NTribe007]

@Venu_7_ Negative second derivative

[NT @NTribe007]

@oguzerkan @grok what’s the copper equivalent of $SLV $GLD ?