OpenAI should be excited that it has been freed of the tedious tasks of building AI and now they can focus on higher level and more creative things.

OpenAI should be, but OpenAI died a while ago

> focus on higher level and more creative things.

But that's what OpenAI's costumers were supposed to do.

It’s sarcasm.

I think Sateeshm was also applying a generous layer of sarcasm.

I wish I could upvote this twice

Soon you’ll be freed of the tedious task of upvoting at all.

Reddit comment moment.

This is really the top take in this thread. Why should OpenAI be any different than all the others they they've ripped off.

Realistically that's the actual headline. Only another AI can replace AI, pretty much like LLMs / Transformers have replaced "old" AI models in certain task (NLP, Sentiment Analysis, Translation etc) and research is in progress for other tasks as well performed by traditional models (personalization, forecasting, anomaly detection etc).

If there's a better AI, old AI will lose the job first.

> NLP, Sentiment Analysis, Translation etc

As somebody who got to work adjacent to some of these things for a long time, I've been wondering about this. Are LLMs and transformers actually better than these "old" models or is it more of an 80/20 thing where for a lot less work (on developers' behalf) LLMs can get 80% of the efficacy of these old models?

I ask because I worked for a company that had a related content engine back in 2008. It was a simple vector database with some bells and whistles. It didn't need a ton of compute, and GPUs certainly weren't what they are today, but it was pretty fast and worked pretty well too. Now it seems like you can get the same thing with a simple query but it takes a lot more coal to make it go. Is it better?

Yep, it's an 80/20 thing. Versatility over quality.

It's 80/20, but in some tasks it's much better (e.g. translation)

Nonetheless the fact that you can just change a bit the prompt to instruct the model to do what you want makes everything much faster.

Yes the trade-off is that you need GPUs to make it run, but that's why we have cloud

Otherwise known as a race to the bottom

ha, the story is filled with ironies.

OpenAIs $200 closed-ai uppended by hedge-funds free side-project

Quant geeks outcompete overpaid silicon valley devs etc.

Basically, hubris gets its comeuppance which is a david vs goliath biblical archetype which is why this drama grips all of us.

seems ironic that the turns have tabled. "silicon valley devs" were the analogous "quant geeks" underdogs that unseated the ossified incumbents.

That said, I feel like "quant geeks" aren't quite underdogs compared to silicon valley devs. wdyt?

also, China doing in IP what it's better at and way more experienced than USA - stealing.

This kind of blithe commentary is 20 years out of date and reminiscent of 1970s criticisms of the Japanese car industry.

I'm reminded of an Adam Savage video. He ordered an unusual vise from China, and he praised their culture where someone said "I want to build this strange vise that wont be super popular", and the boss said "cool, go do it". They built a thing that we would not build in America.

https://youtu.be/NUhrF0xkhhc?si=1WHWYZrhRmfOYO_y&t=1150 (it's about 2 minutes)

The small biz scene in unfree communist China is ironically, astronomically better than here in US, where decades of regulatory capture and misleadership have made it difficult and extremely expensive to get off the ground while being protected by the law.

gentle stroll through the aliexpress alleyway tells otherwise.

Who says America is less good at it? Hasn't the US nicked a lot of other people's ideas at some point or other?

We stole a lot of scientists and equipment from Germany after WW2. That's a big part of how we get to the moon.

More like

"OpenAI is losing its job to open AI."