@AndrewYNg We can do it by enabling everyone to collect, analyze, share data and code! I try this in #OpenSource#SelfDrivingCar Initiative https://t.co/EUzgBBlXVg
The ability to try any new thing with a sensible approach is a cornerstone of artificial general intelligence.
Now the real world is yours for learning, NEO.
https://t.co/g4kcaj6mgO performance oriented changes to enable larger expansion rates (n):
1. Template specialization for n=4/8/16/32. Kernels now dispatch to optimal unroll # instead of always using 32
2. Tensor Core path for n >= 32 via cuBLASLt - restructured to row-major layout so no transpose kernels needed
3. enabling pipelining for larger expansion rates (n) for the static H path. pipelining active at n >= 16.
@awnihannun@awnihannun @andre_slav03 check this video, he was able to run the model on a 512GB mac + 128GB mac using:
Inferencer App: https://t.co/CIciKMgp8Q Kimi-K2-Thinking-Q4.25
https://t.co/w5JxWpYqdu
Update:
INT8 path now has fused perturbed matmul for better performance. MLP expand uses pure INT8 activations with no float conversion:
https://t.co/LdTZeeLyip
per-step time on H100 PCI-e is at <60ms.
@j_foerst@bidiptas13@d0rc
It's @ArtificialAnlys official: Parakeet TDT running on @TeamHathora has the best cost to WER (word error rate) ratio of any ASR model! This was all in less than a month since we launched
https://t.co/VIaBYiY5Lm
Huge thanks to the @nvidia voice research team (Adi & folks) and the AA team (@grmcameron@kiriillbutler)
Try it for yourself here: https://t.co/5cYX6lxu4s
Tonight’s AI Lightning Talks at the @shinecapital office with talks from
Zack @AssemblyAI
@andre_slav03 @TeamHathora
And Kent from @Medal_TV and General Intuition.
We lit up the minds of NYC AI curious.
Come back in 2026!
@awnihannun@awnihannun @andre_slav03 check this video, he was able to run the model on a 512GB mac + 128GB mac using:
Inferencer App: https://t.co/CIciKMgp8Q Kimi-K2-Thinking-Q4.25
https://t.co/w5JxWpYqdu
Here are our three papers on ways to use AI for teaching. All have prompts & details:
Using AI to make teaching easier & more impactful: https://t.co/SZ0zBa6ZPI
Using errors made by AI to teach hard things: https://t.co/cwrNvUjTAd
Assigning AI to students: https://t.co/Un1yfuHcX3
“More than 10,000 spectators filled the stands to witness the driverless racecars competing on the Monza “Temple of Speed” Formula One circuit as part of the Milan Monza Motor Show (MIMO) that ran last weekend at the @Autodromo_Monza” - @IAutonomousV
https://t.co/qVR9hBmzxQ
We’re showing @AndrettiFE’s @JakeDennis19 around Indy today. During our first stop, he’s seeing the innovations in autonomous mobility happening right here in Indiana with @IndyAChallenge.
Congratulations to autonomous racing team MITT-PITT-RW who achieved a personal best time of 173.8 kph on their first @IndyAChallenge road race in Monza, Italy 🤖🏎️
The first challenge? Learning to turn right!
Full Story: https://t.co/ZW2d3hXSp3 | #UWaterlooNews
Carve out a few hours to learn https://t.co/6szj33iRBz
Powerful for rapid prototyping, interactive visualization.
It's a hammer and you'll start seeing a lot of nails.