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A comment on GR00T 2: Scaling robot foundation models for generalization, dexterity. Parent comment

Re:GR00T 2: Scaling robot foundation models for generalizati... by doctoboggan on Tuesday November 10, 2026 @10:53AM (#50442133)
This is something I've been thinking about more and more. Since Opus 5.5 came out, I feel we've crested the hill and the answer for "who's going to maintain this slop going forward" is obvious - the LLMs will. Whether or not its slop, is extensible, maintainable, or forward looking almost doesn't matter anymore. Does it solve the problem today? If so ship it, and use the agents to solve the future problems. I am not quite sure this is a good idea, but assuming LLM progress doesn't stop means its probably the bet I would take.

I watch a YouTuber who is homesteading and builds everything. Often times I see him doing things in ways I know will break or fail eventually, but it doesn't matter because he is there and will fix it when it does. You could argue this is a waste of energy, and for a human it might be. For an LLM however I do not think it is.

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Re:GR00T 2: Scaling robot foundation models for generalizati... by pastel8739 on Tuesday November 10, 2026 @12:05PM (#50443124)
Why would it not be a waste of energy for an LLM? It must still be a waste, but perhaps the cost of the waste is so low that it’s much easier to justify
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Re:GR00T 2: Scaling robot foundation models for generalizati... by doctoboggan on Tuesday November 10, 2026 @12:19PM (#50443302)
Yes, the cost of fixing it when the actual problem arises is IMO lower than the cost of spending energy and human time up front to make it maintainable and extensible. I know it sounds crazy when I write it out like that, but this is something I've been thinking a lot about recently. Agentic coding is a paradigm shift and we have to rethink a lot about what use to make sense.
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Re:GR00T 2: Scaling robot foundation models for generalizati... by xp84 on Tuesday November 10, 2026 @12:38PM (#50443498)
I know it’s kind of a hot take and it might also be hazardous to my career if I’m right, but I kind of agree. If you create a code base that has some significant flaws, and a bug or change request arises later, it is definitely possible that “Super Fable” or GPT-7 Multiverse or whatever can, for $500 of tokens or whatever, perform a refactor of all the related modules, and create and thoroughly test all the necessary data migrations, as a prerequisite to fixing the bug.

I also think that if we’re being completely fair here, we have to acknowledge that most codebases that are more than a couple of years old are giant piles of tech debt already even with 100% human code. At least in all of my jobs, none of which were FAANG, nor run by extremely elite engineers. YMMV.

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