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Three Years from GPT-3 to Gemini 3

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251–260 of 336 posts

Re: Three Years from GPT-3 to Gemini 3

#251
post #244

Earlier quoted context omitted.

How many individuals were involved and over how many years?

Why does it matter? If you consider not just the people creating these hallucination, but also the people accepting them and using them, it must be billions and billions...

https://chat.mistral.ai/chat/8b529b3e-337f-42a4-bf36-34fd9e5...

>Here’s a concise and thoughtful response you could use to engage with ako’s last point:

---

"The scale and speed might be the key difference here. While human-generated narratives—like religions or myths—emerged over centuries through collective belief, debate, and cultural evolution, LLMs enable individuals to produce vast, coherent-seeming narratives almost instantaneously. The challenge isn’t just the volume of ‘bullshit,’ but the potential for it to spread unchecked, without the friction or feedback loops that historically shaped human ideas. It’s less about the number of people involved and more about the pace and context in which these narratives are created and consumed."

Re: Three Years from GPT-3 to Gemini 3

#252

Earlier quoted context omitted.

The worst part is when the AI spits out dogshit results --people show up at lightspeed in the comments to say how "you're not using it right" / "try this other model, it's better" Anecdotally, the people I see the most excited about AI are the people that don't do any fucking work. I can create a lot of value with plain ol' for loop style automation in my niche. We're stil nowhere near the limit of what we can do wit…

The only people I see complaining about AI are those that have the most to lose.

Using it isn't optional though, its forced through corporate policy. If my boss would shut up about it that would be enough for me

Re: Three Years from GPT-3 to Gemini 3

#253
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…

> https://pine.town how many prompts did it take you to make this? how did you make sure that each new prompt didn't break some previous functionality? did you have a precise vision for it when you started or did you just go with whatever was being given to you?

> how many prompts did it take you to make this?

Probably hundreds, I'd say.

> how did you make sure that each new prompt didn't break some previous functionality?

For the backend, I reviewed the code and steered it to better solutions a few times (fewer than I thought I'd need to!). For the frontend, I only tested and steered, because I don't know much about React at all.

This was impossible with previous models, I was really surprised that Codex didn't seem to completely break down after a few iterations!

> did you have a precise vision

I had a fairly precise vision, but the LLM made some good contributions. The UI aesthetic is mostly the LLM, as I'm not very good at that. The UX and functionality is almost entirely me.

Re: Three Years from GPT-3 to Gemini 3

#254

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…

> 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"?

https://en.wikipedia.org/wiki/Gell-Mann_amnesia_effect

Re: Three Years from GPT-3 to Gemini 3

#255

Earlier quoted context omitted.

It's been three years of amazing use cases and discoveries, and in those same years we got things like Ozempic. You can be skeptical of all the hyped things that are said that may be exaggerated without negating the good side.

Ozempic has nothing to do with LLMs, so I'm a bit confused about the point you're making here?

My chatbot told me that chatbots invented drugs.

Re: Three Years from GPT-3 to Gemini 3

#256
post #168

Earlier quoted context omitted.

WhatsApp is primarily a text-based chat interface and it has pretty much universal adoption in the countries where it's popular.

I guess you haven't been in enough group chats. There's a reason it has dedicated emoji button with GIFs, avatars, stickers.

Which is, of course, not how people primarily communicate on WhatsApp (or any communication based app). People don't send streams of videos to each other in group chats. They write text and add gif memes.

Re: Three Years from GPT-3 to Gemini 3

#257
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

https://paulgraham.com/writes.html

Re: Three Years from GPT-3 to Gemini 3

#258

Earlier quoted context omitted.

It's not really any different in my experience

Stochastic parrot? Autocomplete on steroids? Fancy autocorrect? Bullshit generator? AI snake oil? Statistical mimicry? You don't hear that anymore. Feels like whole generation of skeptics evaporated.

It is all those things.

The Bitter Lesson is with enough VC subsidised compute those things are useful.

Re: Three Years from GPT-3 to Gemini 3

#259
post #22

Earlier quoted context omitted.

Text is very information-dense. I'd much rather skim a transcript in a few seconds than watch a video. There's a reason keyboards haven't changed much since the 1860s when typewriters were invented. We keep coming up with other fun UI like touchscreens and VR, but pretty much all real work happens on boring old keyboards.

No matter how good a keyboard we might be able to invent it'll always be slower than a direct brain interface, and we have those, in a highly experimental way, now. One day we will look back at improvements to keyboards and touchscreens as the 'faster horse' of the physical interface era.

I'm not convinced, because all a keyboard really costs you is latency, while almost every human-machine interaction is actually bandwidth limited (by human output).

Even getting zero latency from a perfect brain-machine interface would not make you meaningfully faster at most things I'd assume.

Re: Three Years from GPT-3 to Gemini 3

#260

Earlier quoted context omitted.

It's not really any different in my experience

Stochastic parrot? Autocomplete on steroids? Fancy autocorrect? Bullshit generator? AI snake oil? Statistical mimicry? You don't hear that anymore. Feels like whole generation of skeptics evaporated.

Those echoes have grown louder over the past year or so. The only way you've heard less of it is if you buried your head under sand.
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