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Roughly 3 years ago, specifically in December 2023, I've reiterated my longstanding prediction that «the culture war's most important front will be about AI», and specifically AI accelerationism vs anti-AI/AI safety movement:
And the following political compass:
Seems like this was too much complexity for big tent politics in the US, at least so far; and the Trumpian State sees no use for the EA network, and instead (pretty rationally) perceives it as an uncontrollable alternative center of power. Instead we have, essentially, anti-AI left + pro-AI right (with some notable exceptions – eg. Steve Bannon, apparently, has been anti-China specifically because of his concern about Chinese AI progress, and now joins hands with Bernie Sanders). I've also failed to predict the salience and extent of Chinese open source dominance, as well as the bizarre datacenter water use backlash (charitably, can be shoehorned as Luddism?). Nevertheless, we've «succeeded» at the core task of making this a culture war front. The degree of (unnecessary) politicization of the issue is incredible. Trump is doing the yeoman's work, lumping it in with random Blue-coded ideas he disapproves of “Global “Warming,” where everyone was going to be dead by now, RUSSIA, RUSSIA, RUSSIA, UKRAINE, UKRAINE, UKRAINE, or Impeachment Hoax #1, or Impeachment Hoax #2.”. Jensen Huang enjoys his role as the kingmaker who has the King's ear. Sam Altman is opportunistic as usual but, after recent incidents, is genuinely spooked about AI risks (I have it on good authority that OpenAI really intends to slow down some internal projects specifically to bolster their oversight). The quasi-Masonic part is shaping up nicely, too – Dario Amodei, who's become the poster boy of Woke Left AI, promotes Embedded Evaluators with the central example being METR, very deeply connected to Anthropic and the broader EA scene. The EA itself is more explicitly Left-aligned now, despite efforts of some to paint them as TESCREAL eugenicists (the woke cancellation of Bostrom in Jan 2023 was the canary in the coal mine, Yudkowsky laments the missed opportunity of bipartisanship). There are clearly politically coded reports on prominent doomers.
This is all a bit meandering. What I want to know: how do you see this going further? We aren't anywhere close to the wall of capabilities; there are no walls in sight. Anthropic and OpenAI are holding back already, but their products will keep getting better, and fast. Google will make a comeback at some point (maybe in a couple weeks), xAI and Meta may catch up too. In my book, we (well, they) have practical superintelligence that's sufficient for both unprecedented productivity acceleration and really devastating, nation-crippling cyberattacks, which I guess will be discussed with Xi soon. At this rate, in a few months the level of capability Fable 5.1 or GPT 6 Astra will be mostly commodified and uploaded to HuggingFace (owned by Nvidia now). And those are relatively weak systems compared to internal models, which can build models that are vastly stronger still, without even any R&D breakthroughs, just by virtue of synthesizing stronger data trajectories and designing better RL environments. Superintelligence, in other words, is baked in. By Q1 2027 we'll see a jump from Astra that's at least as big as Sol => Astra. I fail to understand how that won't steamroll companies trying to build their moats on products downstream of frontier AI, labs need every bit of revenue to cover their costs, which will only increase due to growing self-imposed safety requirements; employers outside the AI sphere will also be increasingly feeling the heat. There's a whole ugly dimension of circular financing, too.
Americans as a whole are pretty pessimistic about AI even at these mediocre levels of diffusion (I am skeptical of this data that purports to demonstrate much lower adoption than in China, Americans are probably lying more due to widespread negativity on AI, but in any case AI isn't currently doing most of their jobs). Astra+ level models with very low error rate and 300 tok/s output totally can replace most knowledge workers. On the other hand, it seems that so far AI has not caused anything like mass unemployment, and perhaps economists have a point about comparative advantage, so that'll reduce the intensity of class dynamics.
Democrats are likely to sweep both chambers of Congress, which I guess is what Dario is hoping for and why he feels emboldened to antagonize Trump&Hegseth. Nevertheless, the needs of national security and GDP-maxxing (as well as the Executive's will) should prevent any nontrivial exogenous industry slowdown. So by default we'll see further crystallization of Red Accelerationism vs Blue Decelism, and as AI becomes more undeniably scary, that may begin to eat into the Red political base. It'll be interesting to watch, but I'm really uncertain as to how it'll go.
In the jungle book there is a scene - Shir Han is dragging Baloo with his tail and this legendary exchange takes place:
If we slow down now - we will certainly feel the teeth.
Qwen 3.8 flash next abliterated exists. That can be run albeit slowly on consumer hardware and my hunch is that it is enough of a both foundation and power multiplier - for the mythical beast that is ASI to eventually emerge. The cat is out of the bag and stopping now
Also one of the things the Yuddites seem incapable of doing is figuring out that superintelligence does not mean omnipotence. The laws of physics will still work and some other too. Internet is trivial to be made more secure, not every infrastructure needs to be connected to it anyway.
If the frontier labs slow down - the research will continue. My hunch tells me that we are really far away from the limits of IQ per watt, per weight, per wafer, per harness. All the world militaries and terrorist groups have great interest in making full fledged AI work in the limited hardware a drone possesses.
The datacenter big ASI have always been safe. You just put a lot of semtex in the foundations of the DC with dead man switch. The other one - the fast nimble one that could fit on consumer hardware is the dangerous one. And I don't want it to emerge in Yemen or Sudan.
The question is 2028. 2026 won't be important because the red tribe will hold the presidency and if some of the conservative judges have functioning brains will let themselves be replaced in the lame duck if they lose the senate. But who knows what the job market will be in 2028 and if the effects on AI will be suddenly felt by then.
Personally I am accelerationist. I have been since reading the Lord of Light.
Closeness to sam altman is pure coincidental.
From yesterday you could run the dense qwen 3.8 on 1080ti. The research will continue.
Eh, in the sense that the AI can do independent target discrimination, sure, but that's already a solved problem (LRASM can do this, for instance) although it can be iterated out further.
World militaries and terrorist groups have no interest in making sure their drone processor can write poetry, or whatever.
I can only assume that you haven't of the Vogons.
I am in no way specialist on how paperclip maximizers work, but to me the actual capabilities of the models are mostly dressing over the underlying tech. And the fact that they use the inefficient human language is mostly artefact of the google babelfish experiments.
To make drones properly lethal you need meshed swarm coordination, ability to create and adjust tactics on the fly, without much centralization in conditions of severe jamming. So they do have incentive to cram as big models as possible in as limited hardware.
Wow my field has made it onto TheMotte, spooky. It's not quite so simple as big LLM models on limited hardware. There are a lot of networking problems on swarm interfacing if you want something that is truly adaptable. A lot of swarm robotics is essentially "dumb" control algorithms with software permutations, because LLM-agent hallucinations are rough + LLM sizes require truly monstrous hardware on drones. There's work on fitting them to Jetson Orin Nanos' but it's a slog just from the amount of compute needed + performance of smaller quantized models etc.
This is generally a case against the LLM + Drone combination, too much extra stuff not needed. Part of the problem with current AI research is that it is all in on LLMs but the branch off of not-LLMs but with LLM-like capabilities for reasoning for tactics or strategy are not there. If you want the reasoning you get poetry on your drone too. It actually goes beyond mesh networks as well, as a mesh network is every node connected to every node. You actually want localized connection networks that do multi-hop message passing. Much more resistant to jamming.
Idk maybe I should write an effort over-post on drone swarms, I love this subject.
I'd love to read it, if you ever do.
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