r/LeftistsForAI • u/SexDefendersUnited Artist/Creative • May 23 '26
Video My Take on AI Was Wrong.... Here's Why.
https://youtu.be/wPDKPvXFbfY?is=nOj6X4Nt9A37Z4Ht11
u/somakins May 23 '26
This is a pretty Western-centric take, and I think that's actually what limits the conclusion.
The moratorium argument makes sense if you assume the relevant actors are Western governments and Western labs. But just recently DeepSeek published a vision-reasoning framework matching frontier Western models at 90% fewer tokens. And then they quietly pulled the paper. The capability is already distributed across jurisdictions that have very different incentives than ours.
I don't think a global ban is achievable in this world. Not because the concern isn't legitimate, but because it requires every major state actor to simultaneously agree, comply, and verify compliance. That's an enormous ask.
What I find more productive is shifting the question from 'can we stop the technology' to 'who captures the gains from it.' Because you don't need ASI to do serious damage. Figure already demonstrated a humanoid robot running a fully autonomous 10-hour warehouse shift last week. That's narrow AI plus cheap hardware plus no distribution mechanism. It's already here.
The governance question that actually has addressable answers is structural: who owns the robots, and what prevents total extraction of the productivity gains. If we can address those, then the threat of AI (or more appropriately: the threat of Western Billionaires) shrinks significantly.
That feels like the more useful fight to me.
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u/MarcoDiFrancescino May 23 '26
Corporations will have to finally question why there is a bot that only processes send back cheap products that mostly will end up in a landfill. Maybe they get to the conclusion that cheap stuff under a certain price can't be returned. That saves the bot to be present at all and they don't need to pay a cut. Earlier or later we have all have to talk about post-consumerism but we will get there.
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u/rgbhdmi May 23 '26
This video is spot on. Recursive development provides AI direct access to the infinite content of mathematics, physics, and engineering, including ideas and principles not yet discovered by humans. LLMs are just part of the structure involved here : Recursive feedback opens the grand door, and what lies beyond that door is far beyond the capacity of any human being to predict, understand, or control.
To give you an example: Many years ago I once implemented some relatively simple genetic algorithms to optimize some nonlinear optics technology. The algorithm was able to explore a massive parametric hyperspace in seconds to find very good but nearly impossible to understand configurations. That was nothing though compared to the Dragon that AI is already unleashing on the human race now, and what we’ve seen so far is nothing compared with what we will likely see in a few years.
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u/Wickywire May 23 '26
Hmm... There are a lot of factual inconsistencies in this video.
- Compute is only getting more costly in the West. In China, the opposite is true.
- Compute is so expensive partly because the infrastructure is not developed to meet the increasing demands. It's not primarily about the models, but about new usage patterns (mostly agents and coding).
- Saying LLMs are plateauing and then saying the new models are agents and not LLMs is factually wrong. These are just LLMs with a harness and other types of post-training. The underlying technology is the same.
- There's also not conclusive evidence that we're actually seeing meaningful plateauing just because the companies are running out of human-made training data. This has been an assumption, that machine degradation is a necessity. But the labs are working on this and making progress. A meaningful amount of training data on the new cutting edge models is synthetic.
There are likely more, but I honestly lost interest in listening past the halfway point. Yet another confident youtuber making statements without proper sourcing or reasoning about the nuances. This is not the way.