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I'd imagine that OpenAI would try to stagger their announcements, rather than publishing them recently close to each other. Is this because their previous post

I'd imagine that OpenAI would try to stagger their announcements, rather than publishing them recently close to each other. Is this because their previous post (about navier stokes problem) was met with controversy?

aurareturn 8d ago
I genuinely think that AI has accelerated so many different things that announcements from all companies will be incredibly common and fast. In my own company, the last 2 months, I feel like we've made more feature announcements to our internal staff than they can handle. AI has genuinely made us that much faster. In the past, making one of these announcements every month and the company celebrated. Now we're making making multiple each week. Not only that, we're making so many tiny improvements and bug fixes that improve the experience but we don't even bother to make those announcements anymore. They don't feel "grand" enough anymore. The goal post has shifted a lot in the last 6 months.
- qsera 8d ago
  Which company?
- crashprone 8d ago
  I apologise if this sounds mean spirited, I find posts like these making grand claims without taking the time to present facts that back the magnitude of these claims simply add noise to the discussion. You could've stopped with just the first sentence and I've would learned just as much as I did reading that comment to the end.
  - aurareturn 7d ago
    I've been tracking Github commits per week for my team. Here's how it's looking: https://imgur.com/a/GvByYrD https://imgur.com/a/GvByYrD Our own Github commits volume seem to follow quite closely with token usage on Open Router: https://openrouter.ai/rankings https://openrouter.ai/rankings
    - Retro_Dev 7d ago
      Do you also have a graph for more useful metrics, like number of requested features delivered? Commits, lines of code, headscratch count... there are a lot of metrics you can use, but LLMs are notorious for increasing code verbosity - which adds noise to the already imprecise metric you linked.
      - aurareturn 7d ago
        Do you also have a graph for more useful metrics Yes. I wrote about it in my original post. In my own company, the last 2 months, I feel like we've made more feature announcements to our internal staff than they can handle. AI has genuinely made us that much faster. In the past, making one of these announcements every month and the company celebrated. Now we're making making multiple each week. But I suspect you want our project management pipeline? Maybe I can just ask our coding agent to search and summarize all the features and fixes for you and then build a dashboard for you. Better yet, my email is in my profile. Email me, we'll get on a call, and I'll show you. /s Let me ask you. What are you doing such that your velocity hasn't been greatly accelerated in the last 6 months? Can you prove that it hasn't been accelerated with facts?
        Retro_Dev 7d ago
        My bad - I misread your original post as general company announcements, rather than feature announcements. Now my question is, if your internal staff are not requesting these features and are struggling to adapt fast enough, how useful are they? To your last question - what do you mean by velocity? Velocity is speed and direction. You may have speed, but beware the brownian motion that is stochastic predictive models, as that will give you net zero velocity. I have my goals and know what I am doing, and to be frank, it matters more that I read and understand my own code than race to a local optimum.
        aurareturn 7d ago
        Now my question is, if your internal staff are not requesting these features and are struggling to adapt fast enough, how useful are they Some are internal staff requested, some are customer requested, some are PM requested.
- sznio 7d ago
  > more feature announcements to our internal staff than they can handle have you considered the consequences of that or are you still drunk and thinking that this is a good thing?
  - anthonyrstevens 7d ago
    This is needlessly combative and insulting.
  - wartywhoa23 7d ago
    They solved the code, now they're gonna solve the people away.
    - cindyllm 7d ago
      [dead]
- wartywhoa23 7d ago
  > I feel like we've made more feature announcements to our internal staff than they can handle. And your solution to staff being unable to handle the number of feature announcements be like..?
ForHackernews 8d ago
They are desperately rushing to IPO before the bubble bursts.
- zarzavat 7d ago
  AI just solved a millennium prize problem. In a matter of days. Because of a rumor that someone else solved the same problem with AI. What exactly would AI have to do in order to not be called a bubble?
  - dgellow 7d ago
    You don’t understand what a bubble is. How good the technology is is irrelevant. That has nothing to do with an economical bubble. It’s all about massive capital misallocation driven by a frenzy of FOMO, which is specifically the case for AI investments. Economically speaking what is happening is the most obvious bubble possible, it follows everything that would be expected from a bubble where companies are chasing an ill-defined grandiose dream, based on a new technology we don’t understand and has very dubious ROI, selling some vague future utopia, allocating massive amount of capital to build infrastructure dedicated to a very early versions of that technology. As things mature there will be a correction, ie the bubble will pop. I would recommend to read « Boom and Bust: a global history of financial bubbles » https://pure.qub.ac.uk/en/publications/boom-and-bust-a-global-history-of-financial-bubbles/ https://pure.qub.ac.uk/en/publications/boom-and-bust-a-globa...
    - philipallstar 7d ago
      You should see all the misallocation that was put towards valve-based computing. Why didn't they just all arrive at the correct answer without investing in discovery first?
    - user43928 7d ago
      As long as the data centers are utilized and generating revenue, I see no reason for a correction or any misallocation of capital for the infrastructure buildout. And today these data centers are fully utilized. OpenAI tweeted today that they may need to disable new signups for the Pro subscription in the near future due to capacity constraints. A year from now, who knows what the situation is going to be like. It seems quite possible that robotics, self driving, research, etc. drive even more demand and revenue. Stating with any certainty that allocating capital to build infrastructure is a mistake and that there is a correction coming seems unserious.
alansaber 7d ago
This is just a blogpost, rather than a major announcement (FLT proof was closer to the latter than the former)
Oarch 7d ago
At the rate this field is accelerating maybe this IS staggering

aurareturn 8d ago

I genuinely think that AI has accelerated so many different things that announcements from all companies will be incredibly common and fast. In my own company, the last 2 months, I feel like we've made more feature announcements to our internal staff than they can handle. AI has genuinely made us that much faster. In the past, making one of these announcements every month and the company celebrated. Now we're making making multiple each week. Not only that, we're making so many tiny improvements and bug fixes that improve the experience but we don't even bother to make those announcements anymore. They don't feel "grand" enough anymore. The goal post has shifted a lot in the last 6 months.

qsera 8d ago
Which company?
crashprone 8d ago
I apologise if this sounds mean spirited, I find posts like these making grand claims without taking the time to present facts that back the magnitude of these claims simply add noise to the discussion. You could've stopped with just the first sentence and I've would learned just as much as I did reading that comment to the end.
- aurareturn 7d ago
  I've been tracking Github commits per week for my team. Here's how it's looking: https://imgur.com/a/GvByYrD https://imgur.com/a/GvByYrD Our own Github commits volume seem to follow quite closely with token usage on Open Router: https://openrouter.ai/rankings https://openrouter.ai/rankings
  - Retro_Dev 7d ago
    Do you also have a graph for more useful metrics, like number of requested features delivered? Commits, lines of code, headscratch count... there are a lot of metrics you can use, but LLMs are notorious for increasing code verbosity - which adds noise to the already imprecise metric you linked.
    - aurareturn 7d ago
      Do you also have a graph for more useful metrics Yes. I wrote about it in my original post. In my own company, the last 2 months, I feel like we've made more feature announcements to our internal staff than they can handle. AI has genuinely made us that much faster. In the past, making one of these announcements every month and the company celebrated. Now we're making making multiple each week. But I suspect you want our project management pipeline? Maybe I can just ask our coding agent to search and summarize all the features and fixes for you and then build a dashboard for you. Better yet, my email is in my profile. Email me, we'll get on a call, and I'll show you. /s Let me ask you. What are you doing such that your velocity hasn't been greatly accelerated in the last 6 months? Can you prove that it hasn't been accelerated with facts?
      - Retro_Dev 7d ago
        My bad - I misread your original post as general company announcements, rather than feature announcements. Now my question is, if your internal staff are not requesting these features and are struggling to adapt fast enough, how useful are they? To your last question - what do you mean by velocity? Velocity is speed and direction. You may have speed, but beware the brownian motion that is stochastic predictive models, as that will give you net zero velocity. I have my goals and know what I am doing, and to be frank, it matters more that I read and understand my own code than race to a local optimum.
        aurareturn 7d ago
        Now my question is, if your internal staff are not requesting these features and are struggling to adapt fast enough, how useful are they Some are internal staff requested, some are customer requested, some are PM requested.
sznio 7d ago
> more feature announcements to our internal staff than they can handle have you considered the consequences of that or are you still drunk and thinking that this is a good thing?
- anthonyrstevens 7d ago
  This is needlessly combative and insulting.
- wartywhoa23 7d ago
  They solved the code, now they're gonna solve the people away.
  - cindyllm 7d ago
    [dead]
wartywhoa23 7d ago
> I feel like we've made more feature announcements to our internal staff than they can handle. And your solution to staff being unable to handle the number of feature announcements be like..?

ForHackernews 8d ago

They are desperately rushing to IPO before the bubble bursts.

zarzavat 7d ago
AI just solved a millennium prize problem. In a matter of days. Because of a rumor that someone else solved the same problem with AI. What exactly would AI have to do in order to not be called a bubble?
- dgellow 7d ago
  You don’t understand what a bubble is. How good the technology is is irrelevant. That has nothing to do with an economical bubble. It’s all about massive capital misallocation driven by a frenzy of FOMO, which is specifically the case for AI investments. Economically speaking what is happening is the most obvious bubble possible, it follows everything that would be expected from a bubble where companies are chasing an ill-defined grandiose dream, based on a new technology we don’t understand and has very dubious ROI, selling some vague future utopia, allocating massive amount of capital to build infrastructure dedicated to a very early versions of that technology. As things mature there will be a correction, ie the bubble will pop. I would recommend to read « Boom and Bust: a global history of financial bubbles » https://pure.qub.ac.uk/en/publications/boom-and-bust-a-global-history-of-financial-bubbles/ https://pure.qub.ac.uk/en/publications/boom-and-bust-a-globa...
  - philipallstar 7d ago
    You should see all the misallocation that was put towards valve-based computing. Why didn't they just all arrive at the correct answer without investing in discovery first?
  - user43928 7d ago
    As long as the data centers are utilized and generating revenue, I see no reason for a correction or any misallocation of capital for the infrastructure buildout. And today these data centers are fully utilized. OpenAI tweeted today that they may need to disable new signups for the Pro subscription in the near future due to capacity constraints. A year from now, who knows what the situation is going to be like. It seems quite possible that robotics, self driving, research, etc. drive even more demand and revenue. Stating with any certainty that allocating capital to build infrastructure is a mistake and that there is a correction coming seems unserious.

alansaber 7d ago

This is just a blogpost, rather than a major announcement (FLT proof was closer to the latter than the former)

Oarch 7d ago

At the rate this field is accelerating maybe this IS staggering