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I've had an extremely bad experience working with Department of Energy affiliated programmers in AI. By my invitation, they are part of our workflow and act as humans in the loop, but they have extremely bad habits of gaslighting and accusing people of schizophrenia rather than getting work done. Here's an example[1] of the difference between what a U.S. Department of Energy employee adds to a ticket versus a private…
I wonder why it took so long.
Mostly because it's generally a bad idea for government to try to compete with a brand new tech industry with hundreds of billions in private capital developing commercial models. If the American private industry does actually wash out vs Chinese open models there might be talent available for them to put money into, so maybe they are just preparing for that scenario in the meantime.
Earlier quoted context omitted.
There's a bunch of American open models. Inkling, Nemotron, Trinity come to mind, but I'm sure there's others.
Just looked into some Nemotron stats Looks like on https://arena.ai > agent arena (grouped by lab) Nvidia is 15/15 (much worse than Thinky and Mistral) and on text arena it's 18/27 On https://openrouter.ai/models?order=most-popular > I definitely see usage though (probably mostly cause Nemotron 3 Ultra is free) the grouped order is DeepSeek, Tencent, Xiaomi, OpenAI, Z.ai, Nvidia
This is refreshing considering all the FUD (mostly from 1 frontier lab) happening around Open weight models.
Deepseek is explicitly banned [1] at LLNL and I wouldn't be suprised if there's a blanket ban on all Chinese models. But nowadays models like tera/luna could fill this area of the pareto front, and LANL already runs openai models on their clusters [2]. Maybe it's in custom SFT/RL, for instrument control or sensitive topics? But you'll still have to compete with frontier models + a harness.
I would have also liked to see a carrot tied to their offer. It'll be hard to get teams to contribute RL gyms or curated text. But throw in a "we'll fund a postdoc/student to do that" and I think you'd have teams scrambling to apply.
[1] https://hpc.llnl.gov/about-livermore-computing/ai-ml-lc/lc-l...
[2] https://www.energy.gov/nnsa/articles/nnsas-los-alamos-nation...
I've had an extremely bad experience working with Department of Energy affiliated programmers in AI. By my invitation, they are part of our workflow and act as humans in the loop, but they have extremely bad habits of gaslighting and accusing people of schizophrenia rather than getting work done. Here's an example[1] of the difference between what a U.S. Department of Energy employee adds to a ticket versus a private…
Is this a joke? I don’t get it. Are you calling Rovo a DoE programmer?
I've had an extremely bad experience working with Department of Energy affiliated programmers in AI. By my invitation, they are part of our workflow and act as humans in the loop, but they have extremely bad habits of gaslighting and accusing people of schizophrenia rather than getting work done. Here's an example[1] of the difference between what a U.S. Department of Energy employee adds to a ticket versus a private…
Can you explain the screenshot a little more? It just looks like you’re comparing the output of a chatbot and Claude Code about a log file. If it’s a metaphor, it went over my head, sorry!
Earlier quoted context omitted.
Can you explain the screenshot a little more? It just looks like you’re comparing the output of a chatbot and Claude Code about a log file. If it’s a metaphor, it went over my head, sorry!
I am under NDA and decline to answer your question.