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?

> 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.

Because it's easy to paraphrase in a myriad of ways without having any real information.

A renowned scientist coined the term "bullshitting" for it, I think.

> 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 when everyone knows it’s not exactly true yet.

There isn’t an incentive not to lie when people will read a lie, understand it to be a lie, and then characterize the lie as “not true yet”. Like if your audience has already invented a term to excuse your lies before you start talking, you categorically do not need to tell the truth.

If people judged OpenAI/Sam Altman’s statements under the premise that they are either true or untrue and that there’s no third thing I imagine that we wouldn’t hear as much about OpenAI.

> 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.

I'm willing to bet "chip optimization work" doesn't mean "the work required to optimize a chip", but "some work tasks performed as part of chip optimization". Basically they sped up some unknown subset of the work from six weeks to one day. Which could be big or could be negligible

They've already changed the wording to

  > At a major manufacturer, agents reduced production optimization work from six weeks to one day.

This is likely similar to the tweet from the google engineer. AI coded their solution in a matter of days…after a year of planning prior.

MAybe the agent returned "nope, can't be optimized any more".

It's only time #50952 that scam altman has lied. He's in a race right now with Elon and Trump to see who can lie hardest and most often.

> Why do AI companies struggle to make their products visually distinct OpenAI Frontier looks the exact same as OpenAI Codex App which looks the exact same as GPT|

Because that requires human thought and it might take couple weeks more to design and develop. Do something fast is the mantra, not doing something good.

> "At OpenAI alone, something new ships roughly every three days, and that pace is getting faster."

This is a weird flex. Organizations have long strived to ship multiple times per day, it’s even one of the main business metrics for “high” performance orgs in DORA.

The fact that the premier “AI” company is barely able to deliver at a rate that is considered “high” instead of “medium” (the line is at shipping once per week) tells me that even at OpenAI writing the code is not the bottleneck.

Organizational inefficiency is as usual the real culprit.

Workers at tech companies are getting paid for this because they are shareholders.

Increased efficiency benefits capital not labor; always good to remember to look at which side you prefer to be on

>Where are the salary bumps to reflect this?

Revenue bumps and ROI bumps both gotta come first. Iirc, there's a struggle with the first one.

I imagine the salary bumps occur when the individuals who have developed these productivity boosting skills apply for jobs at other companies, and either get those jobs or use the offer to negotiate a pay increase with their current employer.

> Where are the salary bumps to reflect this?

Let me increase salary to all my employees 2x, because productivity is 4x'ed now - never said a capitalist.

I doubt that there is any risk at all. One is that this is probably a minor aspect of the business seeing these AIs. AIs that ive seen deployed so far for real work seem to best be done in side business offerings that you can tolerate a high false positive / false negative rate, but also isnt price sensitive enough that building a fully done automated pipeline classically is worth it or possible.

Hilarious! Year of the Agent, hahahaha. Good one!

I think that’s sort of right. Said differently and the way I process these tools. You have mundane tasks that a human does where there are clear guidelines on acceptance. The underlying tools being used have clear APIs for automation. You can use natural language to automate said task without a full blown engineer in the loop. For non business engineers this sounds silly but it can save a lot of time for business users.

There are many ways to interpret it. What’s your interpretation?

It is also interesting to contrast calling them by name vs. the other example, “a major semiconductor company”, not called by name. Though of course, there are also different reasonable ways to interpret that.

I'm sorry do you have some problem with protecting things that matter most?

OpenAI's response: Start your own company

Fire the employee that created the agent xD

Folks like you have been hyping up LLMs like crazy. Its time for some reflection.

Vibe coded?

M$ already has a program like this doesn't it? Microsoft™ 365™ Copilot™ agents™

Weird amounts of overlap between the two.

What's MS Office?

Why didn't your VC friend drop some seed on you back then if the stealth startup was doing 25MM ARR? They probably could've had a better deal with you!

I’m imagining this is like ai native slack. Which would be a super useful thing. But I’m with you, who knows? I had a ceo sign up - I’m curious to see one of my companies try it out.

The failure risk of OAI is rising.

It's not going to "trigger" mass layoffs; it'll be used as a convenient scapegoat for mass layoffs that were always going to happen anyway to make room for more stock buybacks. Business as usual. Same shit, different hat.

Misguided mass layoffs though so nothing new.

if only companies like openAI can put this much effort into actually curing Cancer.