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AI 2027

(ai-2027.com)
949 points Tenoke | 18 comments | 03 Apr 25 16:13 UTC | HN request time: 1.025s | source | bottom
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Vegenoid ◴[04 Apr 25 17:20 UTC] No.43585338[source]▶
I think we've actually had capable AIs for long enough now to see that this kind of exponential advance to AGI in 2 years is extremely unlikely. The AI we have today isn't radically different from the AI we had in 2023. They are much better at the thing they are good at, and there are some new capabilities that are big, but they are still fundamentally next-token predictors. They still fail at larger scope longer term tasks in mostly the same way, and they are still much worse at learning from small amounts of data than humans. Despite their ability to write decent code, we haven't seen the signs of a runaway singularity as some thought was likely.

I see people saying that these kinds of things are happening behind closed doors, but I haven't seen any convincing evidence of it, and there is enormous propensity for AI speculation to run rampant.

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jug ◴[04 Apr 25 18:54 UTC] No.43586381[source]▶
> there are some new capabilities that are big, but they are still fundamentally next-token predictors

Anthropic recently released research where they saw how when Claude attempted to compose poetry, it didn't simply predict token by token and "react" to when it thought it might need a rhyme and then looked at its context to think of something appropriate, but actually saw several tokens ahead and adjusted for where it'd likely end up, ahead of time.

Anthropic also says this adds to evidence seen elsewhere that language models seem to sometimes "plan ahead".

Please check out the section "Planning in poems" here; it's pretty interesting!

https://transformer-circuits.pub/2025/attribution-graphs/bio...

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1. percentcer ◴[04 Apr 25 19:11 UTC] No.43586541[source]▶
Isn't this just a form of next token prediction? i.e. you'll keep your options open for a potential rhyme if you select words that have many associated rhyming pairs, and you'll further keep your options open if you focus on broad topics over niche
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2. throwuxiytayq ◴[04 Apr 25 19:30 UTC] No.43586729[source]▶
In the same way that human brains are just predicting the next muscle contraction.
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3. alfalfasprout ◴[04 Apr 25 19:46 UTC] No.43586923[source]▶
Except that's not how it works...
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4. DennisP ◴[04 Apr 25 19:59 UTC] No.43587041[source]▶
Assuming the task remains just generating tokens, what sort of reasoning or planning would say is the threshold, before it's no longer "just a form of next token prediction?"
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5. Workaccount2 ◴[04 Apr 25 20:57 UTC] No.43587523{3}[source]▶
To be fair, we don't actually know how the human mind works.

The most sure things we know is that it is a physical system, and that does feel like something to be one of these systems.

6. pertymcpert ◴[04 Apr 25 22:11 UTC] No.43588233[source]▶
It doesn't really make explain it because then you'd expect lots of nonsensical lines trying to make a sentence that fits with the theme and rhymes at the same time.
7. Vegenoid ◴[05 Apr 25 03:30 UTC] No.43590445[source]▶
This is an interesting question, but it seems at least possible that as long as the fundamental operation is simply "generate tokens", that it can't go beyond being just a form of next-token prediction. I don't think people were thinking of human thought as a stream of tokens until LLMs came along. This isn't a very well-formed idea, but we may require an AI for which "generating tokens" is just one subsystem of a larger system, rather than the only form of output and interaction.
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8. hnaccount_rng ◴[05 Apr 25 08:45 UTC] No.43591952[source]▶
I'm not sure if this is a meaningful distinction: Fundamentally you can describe the world as a "next token predictor". Just treat the world als a simulator with a time step of some quantum of time.

That _probably_ won't capture everything, but for all practical purposes it's non-distinguishable from reality (yes, yes, time is not some constant everywhere)

9. rcrsvpreordnmnt ◴[05 Apr 25 09:49 UTC] No.43592212[source]▶
recursive predestination. LLM's algorithms imply 'self-sabotage' in order to 'learn the strings' of 'the' origin.
10. DennisP ◴[05 Apr 25 13:32 UTC] No.43593351{3}[source]▶
But that means any AI that just talks to you can't be AI by definition. No matter how decisively the AI passes the Turing test, it doesn't matter. It could converse with the top expert in any field as an equal, solve any problem you ask it to solve in math or physics, write stunningly original philosophy papers, or gather evidence from a variety of sources, evaluate them, and reach defensible conclusions. It's all just generating tokens.

Historically, a computer with these sorts of capabilities has always been considered true AI, going back to Alan Turing. Also of course including all sorts of science fiction, from recent movies like Her to older examples like Moon Is A Harsh Mistress.

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11. z7 ◴[05 Apr 25 15:12 UTC] No.43594087{4}[source]▶
It's just predicting tokens:

https://old.reddit.com/r/singularity/comments/1jl5qfs/its_ju...

12. ToValueFunfetti ◴[05 Apr 25 18:28 UTC] No.43595541{3}[source]▶
It may well be: https://en.m.wikipedia.org/wiki/Predictive_coding
13. fennecfoxy ◴[08 Apr 25 11:05 UTC] No.43620308[source]▶
Yeah, I'd agree that for that model (certainly not AGI) it's just an extension/refinement of next token prediction.

But when we get a big aggregated of all of these little rules and quirks and improvements and subsystems for triggering different behaviours and processes - isn't that all humans are?

I don't think it'll happen for a long ass time, but I'm not one of those individuals who, for some reason, desperately want to believe that humans are special, that we're some magical thing that's unexplainable or can't be recreated.

14. fennecfoxy ◴[08 Apr 25 11:15 UTC] No.43620367[source]▶
Potentially, but I'd say we're more reacting.

I will feel and itch and subconsciously scratch it, especially if I'm concentrating on something. That's an subsystem independent of conscious thought.

I suppose it does make sense - that our early evolution consisted of a bunch of small, specific background processes that enables an individual's life to continue; a single celled organism doesn't have neurons but exactly these processes - chemical reactions that keep it "alive".

Then I imagine that some of these processes became complex enough that they needed to be represented by some form of logic, hence evolving neurons.

Subsequently, organisms comprised of many thousands or more of such neuronal subsystems developed higher order subsystems to be able to control/trigger those subsystems based on more advanced stimuli or combinations thereof.

And finally us. I imagine the next step, evolution found that consciousness/intelligence, an overall direction of the efforts of all of these subsystems (still not all consciously controlled) and therefore direction of an individual was much more effective; anticipation, planning and other behaviours of the highest order.

I wouldn't be surprised if, given enough time and the right conditions, that sustained evolution would result in any or most creatures on this planet evolving a conscious brain - I suppose we were just lucky.

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15. LoveMortuus ◴[09 Apr 25 14:31 UTC] No.43632599{4}[source]▶
I think one of the massive hurdles, maybe, to overcome when trying to achieve AGI, is how do you solve the issue of doing things without being prompted, you know curiosity and such.

Let's say we have a humanoid robot standing in a room that has a window open, at what point would the AI powering the robot decide that it's time to close the window?

That's probably one of the reasons why, I don't really see LLMs as much more than just algorithms that give us different responses just because we keep changing the seed...

16. Vegenoid ◴[09 Apr 25 18:57 UTC] No.43636122{4}[source]▶
I don't mean that the primary (or only) way that it interacts with a human can't be just text. Right now, the only way it interacts with anything is by generating a stream of tokens. To make any API calls, to use any tool, to make any query for knowledge, it is predicting tokens in the same way as it does when a human asks it a question. There may need to be other subsystems that the LLM subsystem interfaces with to make a more complete intelligence that can internally represent reality and fully utilize abstraction and relations.
17. throwuxiytayq ◴[10 Apr 25 07:15 UTC] No.43641486{3}[source]▶
I feel like the barrier between conscious and unconscious thinking is pretty fuzzy, but that could be down to the individual.

I also think the difference between primitive brains and conscious, reasoning, high level brains could be more quantitative than qualitative. I certainly believe that all mammals (and more) have some sort of an internal conscious experience. And experiments have shown that all sorts of animals are capable of solving simple logical problems.

Also, related article from a couple of days ago: Intelligence Evolved at Least Twice in Vertebrate Animals

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18. fennecfoxy ◴[10 Apr 25 11:08 UTC] No.43642723{4}[source]▶
Great points, but my apologies I meant to say "sentience". Certainly many, many animals are already conscious.

I'm not sure about the quantitative thing seeing as there are creatures with brains much physically much larger than ours, or brains with more neurons than we have. We currently have the most known synapses though that also seems to be because we haven't estimated that for so many species.