When will there be an AGI for most tasks I care about?
➕
Plus
22
Ṁ928
2035
10%
<2025
32%
<2026
38%
<2027
48%
<2028
52%
<2029
69%
<2030
78%
<2035

Resolves according to when I get an individual AI to do the majority (>5) of the below tasks. I will not put much effort into prompt engineering/elicitation; the spirit of this question is to get at when the below will be easy to do.

All answers after the year in question will resolve to YES.

I may trade on this market, but commit to having <50 mana invested in this market at any time by cost-to-me (I would like to record my beliefs, and am not particularly concerned with profit other than that). If requested, I will post the AI interactions which I used to resolve the question insofar as possible.

1. Pytorch (or Future DL Framework) Code Implementation

- Reliably implement Pytorch code upon request without user intervention, though scaffolding in the user interface is acceptable. At least 75% of the code must be ready-to-go.

- Implement (straightforward, but uncommon) code when given a library's documentation in context

2. Writing Improvement

- Anticipate and address critiques peers have, with at least 50% being useful.

- Propose clarifications that are usually accepted as changes by me.

3. Bullet Points to Text

- Write comprehensive content (blog post style) based on provided bullet points (50% success rate).

4. Learning Assistant

- Answer questions at the level a PhD-student TA would.

- Propose useful Anki cards, with the majority being accepted.

- Enhance Anki interactivity by rephrasing cards to cover the same topic slightly differently, aiming for a 90% acceptance rate.

5. Therapy Alternative

- Provide therapy consultations that are more useful than those from my current therapist.

6. Auto-Podcast Creation

- Distill economic and philosophy papers into podcast format for easy listening. Success is required 5 times, with the number of attempts depending on my willingness, which in turn depends on the LLM's quality.

7. Peer Review

- Offer feedback that surpasses the utility of critiques typically given by PhD students, especially in identifying missing experimental evidence or motivation, and possible graphic improvements.

8. Personal Activity Suggestions

- Suggest new activities (e.g., meditation techniques, exercise routines, movies) on a monthly basis that I actually engage in.

- Provide reliable book recommendations based on personal descriptions and additional information gathered, aiming for a higher success rate than other services.

9. Brainstorming/Debate Partner

- Serve as the go-to option for brainstorming research ideas, composing cover letters, iterating on ideas/arguments etc..

10. Creative Writing Generator

- Generate complete short stories from an outline or the first page, with the quality being high enough for me to willingly read the whole thing.

The sub-points are somewhat flexible, I'll try to stick with them but if it becomes clear that a model is very useful (for me) at the 'headline' task, I'll consider that sufficient.

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It looks like this would be an iterative improvement over ChatGPT, wouldn't it?

Since the resolution is somewhat subjective, could you write how far in your opinion is ChatGPT 4 from fulfilling these criteria?

@OlegEterevsky Hard to say you can take a look at my bets for my opinion. iterative in the sense that I could imagine a scaled up gpt with similar training qualifying, sure.

Numbers 1 code gen and 5 therapy are the only two where I currently find gpt useful out of this list. Gpt4 does not meet the bar for competency as described in this question even in those domains though.

bought Ṁ10 YES

Excellent write-up of desired AGI skills!

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