seems like the whole thing was meant to be a jab at Meta
it was however interesting to know that it isn't just Meta poaching OpenAI, but the reverse also happened.
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seems like the whole thing was meant to be a jab at Meta
it was however interesting to know that it isn't just Meta poaching OpenAI, but the reverse also happened.
This is a very interesting nugget, and if accurate this could become their Achilles heel.
> The Codex sprint was probably the hardest I've worked in nearly a decade. Most nights were up until 11 or midnight. Waking up to a newborn at 5:30 every morning. Heading to the office again at 7a. Working most weekends. There's so much compression / time-dilation in the industry: large projects are pushed out and released in weeks; careers are made in months. Worried about how sustainable this is for its people, gi…
> The thing that I appreciate most is that the company is that it "walks the walk" in terms of distributing the benefits of AI. Cutting edge models aren't reserved for some enterprise-grade tier with an annual agreement. Anybody in the world can jump onto ChatGPT and get an answer, even if they aren't logged in. There's an API you can sign up and use–and most of the models (even if SOTA or proprietary) tend to quickl…
Earlier quoted context omitted.
"I would argue that there are very few benefits of AI, if any at all." OK, if you're going to say things like this I'm going to insist you clarify which subset of "AI" you mean. Presumably you're OK with the last few decades of machine learning algorithms for things like spam detection, search relevance etc. I'll assume your problem is with the last few years of "generative AI" - a loose term for models that output t…
1. Here is the subset: any algorithm, which is learning based, trained on a large data set, and modifies or generates content. 2. I would argue that translation engines have their positives and negatives, but a lot of them are negative, because they lead to translators losing their jobs, and a loss in general for the magical qualities of language learning. 3. Predictive text: I think people should not be presented wi…
"PRECISELY BECAUSE AI cannot be applied in an ethical way, since human beings en masse will inevitably have a sufficient number of bad actors"
I think this is vibes based on bad headlines and no actual numbers (and tbf, founders/CEO's talking outta their a**). In my real-life experience the advantages of specifically generative AI far outweighs the disadvantages, by like a really large margin. I say this as someone academically trained on well modeled Dynamical systems (the opposite of Machine Learning). My team just lost. Badly.
Case-in-point: I work with language localization teams that have fully adopted LLM based translation services (our DeepL.com bills are huge), but we've only hired more translators and are processing more translations faster. It's just..not working out like we were told in the headlines. Doomsday Radiologist predictions [1], same thing.
[1]: https://www.nytimes.com/2025/05/14/technology/ai-jobs-radiol...
as an early stage founder, i worry about the following a lot.
- changing directions fast when i lose conviction - things breaking in production - and about speed, or the lack of it
I learned to actually not worry about the first two.
But if OpenAI shipped Codex in 7 weeks, small startups have lost the speed advantage they had. Big reminder to figure out better ways to solve for speed.
This was good, but the one thing I most wanted to know about what it's like building new products inside of OpenAI is how and how much LLMs are involved in their building process.
Considering all the people who led the different safety teams have left or been fired, Superalignment has been a total bust and the various accounts from other employees about the lack of support for safety work I find this statement incredibly out of touch and borderline intentionally misleading.
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If anyone tried to demand that I work that way, I’d say absolutely not. But when I sink my teeth into something interesting and important (to me) for a few weeks’ or months’ nonstop sprint, I’d say no to anyone trying to rein me in, too! Speaking only for myself, I can recognize those kinds of projects as they first start to make my mind twitch. I know ahead of time that I’ll have no gas left the tank by the end, and…
I'd be curious to know about this community. Is this a formal group or just the people that you've collected throughout your life?
That just turns out to be the kind of person who likes to be around me, and I around them. It’s something I wish I had been more deliberate about cultivating earlier in my life, but not the sort of thing I regret.
In my case that’s a lot of artists/writers/hackers, a fair number of clergy, and people working in service to others. People quietly doing cool stuff in boring or difficult places… people whose all-out sprints result in ambiguity or failure at least as often as they do success. Very few rich people, very few who seek recognition.
The flip side is that neither I nor my social circles are all that good at consistency—but we all kind of expect and tolerate that about each other. And there’s lots of “normal” stuff I’m not part of, which I probably could have been if I had tried. I don’t know what that means to the business-minded people around here, but I imagine it includes things like corporate and nonprofit boards, attending sports events in stadia, whatever golf people do, retail politics, Society Clubs For Respectable People, “Summering,” owning rich people stuff like a house or a car—which is fine with me!
More than enough is too much :)
Earlier quoted context omitted.
1. Here is the subset: any algorithm, which is learning based, trained on a large data set, and modifies or generates content. 2. I would argue that translation engines have their positives and negatives, but a lot of them are negative, because they lead to translators losing their jobs, and a loss in general for the magical qualities of language learning. 3. Predictive text: I think people should not be presented wi…
I wish your parent comment didn't get downvoted, because this is an important conversation point. "PRECISELY BECAUSE AI cannot be applied in an ethical way, since human beings en masse will inevitably have a sufficient number of bad actors" I think this is vibes based on bad headlines and no actual numbers (and tbf, founders/CEO's talking outta their a**). In my real-life experience the advantages of specifically gen…
We define bad actors in different ways. I also include people like tech workers, CEOs who program systems that take away large numbers of jobs. I already know people whose jobs were eroded based on AI.
In the real world, lots of people hate AI generated content. The advantages you speak of are only to those who are technically minded enough to gain greater material advantages from it, and we don't need the rich getting richer. The world doesn't need a bunch of techies getting richer from AI at the expense of people like translators, graphic designers, etc, losing their jobs.
And while you may have hired more translators, that is only temporary. Other places have fired them, and you will too once the machine becomes good enough. There will be a small bump of positive effects in the short term but the long term will be primarily bad, and it already is for many.