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AI 2027

ai-2027.com

91–100 of 641 posts

Re: AI 2027

#91
Readers should, charitably, interpret this as "the sequence of events which need to happen in order for OpenAI to justify the inflow of capital necessary to survive".

Your daily vibe coding challenge: Get GPT-4o to output functional code which uses Google Vertex AI to generate a text embedding. If they can solve that one by July, then maybe we're on track for "curing all disease and aging, brain uploading, and colonizing the solar system" by 2030.

Re: AI 2027

#92
As someone who's fairly ignorant of how AI actually works at a low level, I feel incapable of assessing how realistic any of these projections are. But the "bad ending" was certainly chilling.

That said, this snippet from the bad ending nearly made me spit my coffee out laughing:

> There are even bioengineered human-like creatures (to humans what corgis are to wolves) sitting in office-like environments all day viewing readouts of what’s going on and excitedly approving of everything, since that satisfies some of Agent-4’s drives.

Re: AI 2027

#93
post #9

Older and related article from one of the authors titled "What 2026 looks like", that is holding up very well against time. Written in mid 2021 (pre ChatGPT) https://www.alignmentforum.org/posts/6Xgy6CAf2jqHhynHL/what-... //edit: remove the referral tags from URL

I think it's not holding up that well outside of predictions about AI research itself. In particular, he makes a lot of predictions about AI impact on persuasion, propaganda, the information environment, etc that have not happened.

Re: AI 2027

#94
post #74

I just spent some time trying to make claude and gemini make a violin plot of some polar dataframe. I've never used it and it's just for prototyping so i just went "apply a log to the values and make a violin plot of this polars dataframe". ANd had to iterate with them for 4/5 times each. Gemini got it right but then used deprecated methods I might be doing llm wrong, but i just can't get how people might actually do…

> had to iterate with them for 4/5 times each. Gemini got it right but then used deprecated methods How hard would it be to automate these iterations? How hard would it be to automatically check and improve the code to avoid deprecated methods? I agree that most products are still underwhelming, but that doesn't mean that the underlying tech is not already enough to deliver better LLM-based products. Lately I've been…

> How hard would it be to automate these iterations?

The fact that we're no closer to doing this than we were when chatgpt launched suggests that it's really hard. If anything I think it's _the_ hard bit vs. building something that generates plausible text.

Solving this for the general case is imo a completely different problem to being able to generate plausible text in the general case.

Re: AI 2027

#95
post #93
post #9

Older and related article from one of the authors titled "What 2026 looks like", that is holding up very well against time. Written in mid 2021 (pre ChatGPT) https://www.alignmentforum.org/posts/6Xgy6CAf2jqHhynHL/what-... //edit: remove the referral tags from URL

I think it's not holding up that well outside of predictions about AI research itself. In particular, he makes a lot of predictions about AI impact on persuasion, propaganda, the information environment, etc that have not happened.

something you can't know

Re: AI 2027

#97
post #9

Older and related article from one of the authors titled "What 2026 looks like", that is holding up very well against time. Written in mid 2021 (pre ChatGPT) https://www.alignmentforum.org/posts/6Xgy6CAf2jqHhynHL/what-... //edit: remove the referral tags from URL

> (2025) Making models bigger is not what’s cool anymore. They are trillions of parameters big already. What’s cool is making them run longer, in bureaucracies of various designs, before giving their answers.

Holy shit. That's a hell of a called shot from 2021.

Re: AI 2027

#98
post #82
post #13

> "OpenBrain (the leading US AI project) builds AI agents that are good enough to dramatically accelerate their research. The humans, who up until very recently had been the best AI researchers on the planet, sit back and watch the AIs do their jobs, making better and better AI systems." I'm not sure what gives the authors the confidence to predict such statements. Wishful thinking? Worst-case paranoia? I agree that…

It also ignores the possibility of plateau... maybe there's a maximum amount of intelligence that matter can support, and it doesn't scale up with copies or speed.

Or scales sub-linearly with hardware. When you're in the rising portion of an S-curve[1] you can't tell how much longer it will go on before plateauing.

A lot of this resembles post-war futurism that assumed we would all be flying around in spaceships and personal flying cars within a decade. Unfortunately the rapid pace of transportation innovation slowed due to physical and cost constraints and we've made little progress (beyond cost optimization) since.

[1] https://en.wikipedia.org/wiki/Sigmoid_function

Re: AI 2027

#99

Earlier quoted context omitted.

That's incredible how much it broadly aligns with what has happened. Especially because it was before ChatGPT.

Will people finally wake up that the AGI X-Risk people have been right and we’re rapidly approaching a really fucking big deal? This forum has been so behind for too long. Sama has been saying this a decade now: “Development of Superhuman machine intelligence is probably the greatest threat to the continued existence of humanity” 2015 https://blog.samaltman.com/machine-intelligence-part-1 Hinton, Ilya, Dario Amodei,…

And why are Altman's words worth anything? Is he some sort of great thinker? Or a leading AI researcher, perhaps?

No. Altman is in his current position because he's highly effective at consolidating power and has friends in high places. That's it. Everything he says can be seen as marketing for the next power grab.

Re: AI 2027

#100
post #9

Older and related article from one of the authors titled "What 2026 looks like", that is holding up very well against time. Written in mid 2021 (pre ChatGPT) https://www.alignmentforum.org/posts/6Xgy6CAf2jqHhynHL/what-... //edit: remove the referral tags from URL

This article was prescient enough that I had to check in wayback machine. Very cool.
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