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Three Years from GPT-3 to Gemini 3

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Re: Three Years from GPT-3 to Gemini 3

#41
post #36
post #31

Earlier quoted context omitted.

Widespread cognitive atrophy is virtually certain, and part of a longer trend that goes beyond just LLMs. The same is true of other aspects of human wellbeing. Cars and junk food have made the average American much less physically fit than a century ago, but that doesn't mean there aren't lively subcultures around healthy eating and exercise. I suspect there will be growing awareness of cognitive health (beyond tradi…

People said the same thing about books and the written word in general

And they were right. Ars memoriae is much less prevalent in the age of mass printed books.

Re: Three Years from GPT-3 to Gemini 3

#43
Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach."

Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page paper." I hear..."I got 14 pages of words". But is it a good paper, that another PhD would think is good? Is it even coherent?

When I see the code these systems generate within a complex system, I think okay, well that's kinda close, but this is wrong and this is a security problem, etc etc. But because I'm not a PhD in these subjects, am I supposed to think, "Well of course the 14 pages on a topic I'm not an expert in are good"?

It just doesn't add up... Things I understand, it looks good at first, but isn't shippable. Things I don't understand must be great?

Re: Three Years from GPT-3 to Gemini 3

#44

For Caude Code, Antigrav, etc, do people really just let an LLM loose on their own personal system? I feel like these should run in a cloud enviroment, or at least on some specific machine where I don't care what it does.

(Co-creator here) This is one of the use cases for Leash.

https://github.com/strongdm/leash

Check it out, feedback is welcome!

Previously posted description: https://news.ycombinator.com/item?id=45883210

Re: Three Years from GPT-3 to Gemini 3

#45

Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…

I think they get to that a couple of paragraphs later:

> The idea was good, as were many elements of the execution, but there were also problems: some of its statistical methods needed more work, some of its approaches were not optimal, some of its theorizing went too far given the evidence, and so on. Again, we have moved past hallucinations and errors to more subtle, and often human-like, concerns.

Re: Three Years from GPT-3 to Gemini 3

#46

Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…

> Things I don't understand must be great?

Couple it with the tendency to please the user by all means and it ends up lieing to you but you won’t ever realise, unless you double check.

Re: Three Years from GPT-3 to Gemini 3

#47

> So is this a PhD-level intelligence? In some ways, yes, if you define a PhD level intelligence as doing the work of a competent grad student at a research university. But it also had some of the weaknesses of a grad student. As a current graduate student, I have seen similar comments in academia. My colleagues agree that a conversation with these recent models feels like chatting with an expert in their subfields.…

HN tends to be very weird around the topic of AI. No idea why opinions like this are downvoted without having to offer any criticism.

Re: Three Years from GPT-3 to Gemini 3

#48

Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…

I think the point is we’re getting there. These models are growing up real fast. Remember 54% of US adults read at or below the equivalent of a sixth-grade level.

Re: Three Years from GPT-3 to Gemini 3

#49
post #31

Earlier quoted context omitted.

I have an exercise I like to do where I put two SOTA models face-to-face to talk about whatever they want. When I did it last week with Gemini-3 and chatGPT-5.1, they got on the topic of what they are going to do in the future with humans who don't want to do any cognitive task. That beyond just AI safety, there is also a concern of "neural atrophy", where humans just rely on AI to answer every question that comes to…

Widespread cognitive atrophy is virtually certain, and part of a longer trend that goes beyond just LLMs. The same is true of other aspects of human wellbeing. Cars and junk food have made the average American much less physically fit than a century ago, but that doesn't mean there aren't lively subcultures around healthy eating and exercise. I suspect there will be growing awareness of cognitive health (beyond tradi…

I'm increasingly seeing this trend towards bimodal distribution. I suppose that future is quite far off, but the change to that may almost be irreversible.

Re: Three Years from GPT-3 to Gemini 3

#50

Every time I see an article like this, it's always missing --- but is it any good, is it correct? They always show you the part that is impressive - "it walked the tricky tightrope of figuring out what might be an interesting topic and how to execute it with the data it had - one of the hardest things to teach." Then it goes on, "After a couple of vague commands (“build it out more, make it better”) I got a 14 page p…

It's gotten more and more shippable, especially with the latest generation (Codex 5.1, Sonnet 4.5, now Opus 4.5). My metric is "wtfs per line", and it's been decreasing rapidly.

My current preference is Codex 5.1 (Sonnet 4.5 as a close second, though it got really dumb today for "some reason"). It's been good to the point where I shipped multiple projects with it without a problem (with eg https://pine.town being one I made without me writing any code).

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