gpus and tractors. Neural networks from Scratch book: https://xitter.cf/t.co/hyMkWyUP7R https://xitter.cf/t.co/8WGZRkUGsn
Alabama, USA
Joined May 2013
- Tweets19.1K
- Following398
- Followers113K
- Likes23.8K
Yea a bit of parallel tasks and subagents with those tasks, but I've had a similar workflow in the past with GLM 5.2/3/F.
This model does a better job of working til completion, but NOT over working. It's correctly balanced this time.
fall recovery is definitely one of the more fun RL policies that I've worked on.
still a ways to go, this one would definitely break a lot of stuff as is, but we'll continue improving! still just a lil baby model.
I kneel...
training @asimovinc to transfer from lying on the ground (back/belly/side) to a half kneel, with hopes of translating next from a half kneel to full stand.
Trying to find the best way to get up off the ground.
I kneel...
training @asimovinc to transfer from lying on the ground (back/belly/side) to a half kneel, with hopes of translating next from a half kneel to full stand.
Trying to find the best way to get up off the ground.
you can buy a whole dell workstation with an RTX Pro 6K WS inside of it for less than most places will sell you just the pro 6k
dario begged me in dms to not do agent swarms at home but whatever, this is nemotron 120B A12B running 64 concurrents at a bit over 100 tok/sec each for an aggregate of almost 7K tok/sec on a single GB300 (Asus DGX Station)
believe it or not, the agents did NOT magically just start hacking the planet tho. weird.
Trying to train a fall recovery policy for the @asimovinc humanoid
Getting up is hard!
Nemotron 3.5 Super VL (120B A12B) is now the leading US open source model. Congrats to the NVIDIA AI team!
I am still doing testing of this model, but I think the ranking would be even stronger if we were just measuring agentic coding performance. This one may very well be a solid choice for a speedy local coding agent model
I'm running many things in parallel, will get proper average and max numbers in time, but just randomly prodding this model for some quick speed checks and over 550 tok/sec. All vanilla settings. Once optimized 600+, maybe even 650+, will be trivial, and so far it does appear to be a token efficient problem solver.
Really exciting to see what looks like a solid release so far from nvidia!
Nemotron 3.5 Super VL is the highest-scoring open weights model from the US, at 26 on the Intelligence Index. It edges out Thinking Machines' Inkling Small (26) and passes NVIDIA's previous flagship, Nemotron 3 Ultra (23), and Meta's Muse Glimmer (17)
Despite the advance, the US still trails the United Arab Emirates (K2 Horizon 375B A23B, 31) and China (MiMo-V2.6-Pro, 46) on open weights intelligence.
