> The way work gets done has changed, and enterprises are starting to feel it in big ways.

Why do they say all of this fluff when everyone knows it’s not exactly true yet. Just makes me be cynical of the rest.

When can we say we have enough AI? Even for enterprise? I would guess that for the majority of power users you could stop now and people would be generally okay with it, maybe some further into medical research or things that are actually important.

For Sam Altman and microslop though it seems to be a numbers game, just have everyone in and own everything. It’s not even about AGI anymore I feel.

For classic engineering it's been a boon. This is in a pretty similar vein to the gains mathematicians have been making with AI.

These models can pretty reliably bang out what once was long mathematical solves for hypothetical systems in incredibly short periods of time. It also enables you to do second and third order approximations way easier. What was a first order approach that would take a day, is now a second order approach taking an hour.

And to top it off, they're also pretty damn competent in at least pointing you in the right direction (if nothing else) for getting information about adjacent areas you need to understand.

I've been doing an electro-optical project recently as an electronics guys, and LLMs have been infinitely useful in helping with the optics portion (on top of the mathing electronics speed up).

It's still "trust, but verify" for sure, but damn, it's powerful.

> when everyone knows it’s not exactly true yet

I think two things:

1. Not everyone knows.

2. As we've seen at a national scale: if you just lie lie lie enough it starts being treated like the truth.

I disagree with your sentiment and genuinely think something big is coming. It doesn't need to be perfect now, but it could be good enough to disrupt SaaS market.

> say all of this fluff when everyone knows it’s not exactly true yet

How do you know it's not exactly true? I am already seeing employees in enterprises are heavily reliant on LLMs, instead of using other SaaS vendors.

* Want to draft email and fix your grammar -> LLMs -> Grammarly is dying

* Want to design something -> Lovable -> No need to wait designer, no need to get access to Figma, let designer design and present, for anything else use lovable, or alternatives

* want to code -> obviously LLMs -> I sometimes feel like JetBrains is probably in code red at the moment, because I am barely opening it (saying this as a heavy user in the past)

To make message shorter, I will share my vision in the reply

Is there any reason not to assume that the article was created by an LLM?

> for the majority of power users you could stop now and people would be generally okay with it

Why stop though? Google didn't say Altavista and Yahoo is good enough for the majority of power users, let's not create something better.

When you have something good at your hand and you see other possibilities, would you say let's stop, this is enough?

To be frank I don’t think your worldview is directionally accurate. OpenAI is certainly trying to sell something but every incremental update to these models there are more avenues of value generation being unlocked. For sure it’s not as it was hyped up to be as all the talking heads in the industry were spouting, but there is a lot of interesting ways to use these tools and it’s not for generating slop.

> Why do they say all of this fluff

They're desperate?

It's a kind of gaslighting, probably first and foremost for themselves before others.

> When can we say we have enough AI?

I’m good for now.

I am already tired of the disaster that is social media. Hilariously, we’ve gotten to the point that multiple countries are banning social media for under 18s.

The costs of AI slop are going to be paid by everyone, social media will ironically becoming far less useful, and the degree of fraud we will see will be … well cyber fraud is already terrifying, what’s the value of infinity added to infinity.

I would say that tech firms are definitely running around setting society on fire at this point.

God, they built all of this on absurd amounts of piracy, and while I am happy to dance on the grave of the MPAA and RIAA, the farming of content from people who have no desire to be harvested is absurd. I believe wikipedia has already started seeing a drop in traffic, which will lead to a reduction in donations. Smaller sites are going to have an even worse time.