tensorqt

⬢ chaos dancing star @paradigmainc

[tensorqt @tensorqt]

introducing our first model, Violetto

[Paradigma @paradigmainc]

Introducing Limite 1B - Violetto.

A model for high-frequency mathematical intelligence.

[tensorqt @tensorqt]

did graph engineering go too far?

[tensorqt @tensorqt]

@reach_vb Hb bro

[tensorqt @tensorqt]

@GabrieleMonni our previous round was 3m, which is additive to the SPRIND one, so a total would be 6m

[tensorqt @tensorqt]

damn we’re so citation/capital efficient

[alphaXiv @askalphaxiv]

We mapped funding raised vs founder citations across 32 neo-labs

Their founding teams have amassed 8.35M citations and have raised nearly $26B

Discovery Loop leads with 1.59M founder citations, followed by SSI (915K) and AMI Labs (752K)

The two are correlated, but a huge citation count certainly isn’t a prerequisite to be a neo-lab (see Standard Intelligence and Flapping Airplanes)

[tensorqt @tensorqt]

wow Europe lost the lead

[unusual_whales @unusual_whales]

Bloomington, Indiana, has banned artificial superintelligence.

The city council voted 7–0 to bar superintelligent AI within city limits, including through apps and browsers. Violators face fines and possible prosecution.

Lifting the ban would take approval from more than 95% of registered voters.

[tensorqt @tensorqt]

we are now a car

[will brown @willcb]

2027 is gonna be about engines

[tensorqt @tensorqt]

(Paradigma founding team has ~ 24k citations and an oom less funding)

[tensorqt @tensorqt]

you need to be breadmaxxing

[tensorqt @tensorqt]

@sjdedic the fund should be publically shamed

[Yacine Mahdid @yacinelearning]

we're learning a whole bunch about robotic policies over here amazing overview
https://t.co/wadt018HlZ

[tensorqt @tensorqt]

>be the x of y

just be yourself

[Category Ventures @Category_VC]

Sharing our investment thesis on robotics. Reach out if it resonates

1/6 The race to become the ‘Anthropic of robotics” has begun

[tensorqt @tensorqt]

@eldsjal we simply need drastic actions against notaries and severe punishment for abusers of the system

[tensorqt @tensorqt]

@DavideCrapis @thelokasiffers @paradigmainc they should look for 4000

[tensorqt @tensorqt]

@yacinelearning wow

[Yacine Mahdid @yacinelearning]

alright folks tomorrow 11:00 AM EST until whenever we are done we are going to be hosting a workshop led by francesco on robot learning!

in this workshop we're going to cover:
- Classical robotics
- Pre-training vs. post-training
- Real-world RL
- VLAs / VAMs / WAMs

and more!

[tensorqt @tensorqt]

@thelokasiffers @paradigmainc they only have 20?

[MTS @MTSlive]

Core Automation's @_arohan_ explains why thousands of GPUs sit idle while frontier AI labs struggle to get enough compute:

"The market doesn't look that efficient. It's much harder to get tens of thousands of Grace Blackwells than a few thousand. These chips are sitting idle till they get sold, because the people who demand a lot more are looking for co-location."

"Do you want 10,000 Blackwells? Sure. Will you take 10,000 separated compute islands? Without this technology, I wouldn't. With this, yeah, for sure. Algorithmic pain we don't feel because we work on these algorithms day and night."

"It could also look like multiple organizations coming together to build something bigger if they're aligned on the same utility function, because compute is spread out."
@coreauto

[tensorqt @tensorqt]

where are you chat

[tensorqt @tensorqt]

@alxfazio you met me at a very Japanese time of my life

[tensorqt @tensorqt]

@zby yes, applied to more stuff and with computers this time

[tensorqt @tensorqt]

i expect this to be somewhat contrarian: verification is a special case, the real world is much fuzzier and we will have to adopt soft-verification in the shape of hardening of results and systems, measuring it roughy by some metric capturing amount of cumulative intelligence poured into hardening it.