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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

#81

Post by remich »

randyrand wrote: post #39

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.

Can't speak to Claude Code/Desktop, but any of the products that are VS Code forks have workspace restrictions on what folders they're allowed to access (for better and worse). Other products (like Warp terminal) that can give access to the whole filesystem come with pre-set strict deny/allow lists on what commands are allowed to be executed.

It's possible to remove some of these restrictions in these tools, or to operate with flags that skip permissions checks, but you have to intentionally do that.

Re: Three Years from GPT-3 to Gemini 3

#82

Post by jlawson »

lm28469 wrote: post #53
Herring wrote: post #48

Earlier quoted context omitted.

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.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

Unfortunately, people are born with a certain intellectual capacity and can't be improved beyond that with any amount of training or education. We're largely hitting peoples' capacities already.

We can't educate someone with 80 IQ to be you; we can't educate you (or I) into being Einstein. The same way we can't just train anyone to be an amazing basketball player.

Re: Three Years from GPT-3 to Gemini 3

#83

Post by tempestn »

stavros wrote: post #50
mynameisjody wrote: post #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 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…

Have you tried Gemini 3 yet? I haven't done any coding with it, but on other tasks I've been impressed compared to gpt 5 and Sonnet 4.5.

Re: Three Years from GPT-3 to Gemini 3

#84

Post by Izikiel43 »

lm28469 wrote: post #53
Herring wrote: post #48

Earlier quoted context omitted.

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.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

It's not just investing in education, it's using tools proven to work. WA spends a ton of money on education, and on reading Mississipi, the worst state for almost every metric, has beaten them. The difference? Mississipi went hard on supporting students and using phonics which are proven to work. WA still uses the hippie theory of guessing words from pictures (https://en.wikipedia.org/wiki/Whole_language) for learning how to read.

Re: Three Years from GPT-3 to Gemini 3

#85

Post by tsss »

mynameisjody wrote: post #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 p…

For what it's worth I have been using Gemini 2.5/3 extensively for my masters thesis and it has been a tremendous help. It's done a lot of math for me that I couldn't have done on my own (without days of research), suggested many good approaches to problems that weren't on my mind and helped me explore ideas quickly. When I ask it to generate entire chapters they're never up to my standard but that's mostly an issue of style. It seems to me that LLMs are good when you don't know exactly what you want or you don't care too much about the details. Asking it to generate a presentation is an utter crap shoot, even if you merely ask for bullet points without formatting.

Re: Three Years from GPT-3 to Gemini 3

#86

Post by Izikiel43 »

Herring wrote: post #57
lm28469 wrote: post #53

Earlier quoted context omitted.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

In theory yeah, but in practice 54% will also vote against funding education. Catch-22.

In WA they always pass levies for education funding at local and state level however results are not there.

Mississipi is doing better on reading, the biggest difference being that they use phonics approach to teaching how to read, which is proven to work, whereas WA uses whole language theory (https://en.wikipedia.org/wiki/Whole_language), which is a terrible idea I don't know how it got traction.

So the gist of it, yes, spend on education, but ensure that you are using the right tools, otherwise it's a waste of money.

Re: Three Years from GPT-3 to Gemini 3

#87

Post by stavros »

tempestn wrote: post #83
stavros wrote: post #50

Earlier quoted context omitted.

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…

Have you tried Gemini 3 yet? I haven't done any coding with it, but on other tasks I've been impressed compared to gpt 5 and Sonnet 4.5.

Only a tiny bit, but I should. When you say GPT-5, do you mean 5.1? Codex or regular?

Re: Three Years from GPT-3 to Gemini 3

#88

Post by thewebguyd »

brightball wrote: post #64
lm28469 wrote: post #53

Earlier quoted context omitted.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

Investing in education is a trap because no matter how much money is pumped into the current model, it’s not making a difference. We need different models and then to invest in the successes, over and over again…forever.

Because education alone in a vacuum won't fix the issues.

Even if the current model was working, just continuing to invest money in it while ignoring other issues like early childhood nutrition, a good and healthy home environment, environmental impacts, etc. will just continue to fail people.

Schooling alone isn't going to help the kid with a crappy home life, with poor parents who can't afford proper nutrition, and without the proper tools to develop the mindset needed to learn (because these tools were never taught by the parents, and/or they are too focused on simply surviving).

We, as a society, need to stop allowing people to be in a situation where they can't focus on education because they are too focused on working and surviving.

Re: Three Years from GPT-3 to Gemini 3

#89

Post by Izikiel43 »

acheron wrote: post #74
lm28469 wrote: post #53

Earlier quoted context omitted.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

Education funding is highest in places that have the worst results. Try again.

Because they use whole language theory (https://en.wikipedia.org/wiki/Whole_language) instead of phonics for teaching how to read.

Re: Three Years from GPT-3 to Gemini 3

#90

Post by tsss »

lm28469 wrote: post #53
Herring wrote: post #48

Earlier quoted context omitted.

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.

> Remember 54% of US adults read at or below the equivalent of a sixth-grade level. The sane conclusion would be to invest in education, not to dump hundreds of billions of llms, but ok

You don't need an educated workforce if you have machines that can do it reliably. The more important question is: who will buy your crap if your population is too poor due to lack of well paying jobs? A look towards England or Germany has the answer.
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