Jesus Christ, can we leave things alone that aren’t infinitely growing
“Gentlemen, it’s come to our attention that every one who could pay to use our product is paying to use our product. Unfortunately, it also means we’re no longer growing infinitely like we promised the shareholders we would. How do we fix this?”
The infinite growth mindset is so fucking stupid. Like, you’re still making an insane amount of money, what’s the fucking problem?
Yup. Shareholders are the problem, who bought shares at price X and want to sell those shares at X+Y.
And they will do anything to get it.
Jesus Christ it’s not all about growth.
Line must go up
It writes my most boring emails so that I can save a scrap of mental energy for parenting properly after work. Even though my WPM ranges between 70-90 with >98% accuracy, I would rather save some of that mental energy to respond more thoughtfully as a dad.
Of note, I do not give one cold shit about GPT’s “growth”. It’s a linguistic power tool that needs to be carefully handled if you use it for any valuable work.
Just wanted to say that “GPT” is a general term and not just a name. OpenAI tried to trademark it but couldn’t because of that. It’s as if Nintendo was trying to trademark the word “Kart” because of “Mario Kart”.
This was inevitable, not sure why it’s newsworthy. ChatGPT blew up because it brought LLM tech to the masses in an easily accessible way and was novel at the mainstream level.
The majority of people don’t have a use for chat bots day-to-day, especially one that’s as censored and outdated as ChatGPT (its dataset is from over 2 years ago). Casual users would want it for simple stuff like quickly summarizing current events or even as a Google search-like repository of info. Can’t use it for that when even seemingly innocuous queries/prompts are met with ChatGPT scolding you for being offensive, or that its dataset is old and not current. Sure, it was fun to have it make your grocery lists and workout plans, but that novelty eventually wears off as it’s not very practical all the time.
I think LLMs in the form of ChatGPT will truly become ubiquitous when they can train in real time on up-to-date data. And since that’s very unlikely to happen in the near future, I think OpenAI has quite a bit of progress left to make before their next breakout moment comes again. Although, Sora did wow the mainstream (anyone in the AI scene has been well aware of AI generated video for awhile now), OpenAI has already said they’re not making that publicly available for now (which is a good thing for obvious reasons unless strict safety measures are implemented).
It’s not exactly training, but Google just recently previewed a LLM with a million-token context that can do effectively the same thing. One of the tests they did was to put a dictionary for a very obscure language (only 200 speakers worldwide) into the context, knowing that nothing about that language was in its original training data, and the LLM was able to translate it fluently.
OpenAI has already said they’re not making that publicly available for now
This just means that OpenAI is voluntarily ceding the field to more ambitious companies.
Gemini is definitely poised to bury ChatGPT if its real world performance lives up to the curated examples they’ve demostrated thus far. As much as I dislike that it’s Google, I am still interested to try it out.
This just means that OpenAI is voluntarily ceding the field to more ambitious companies.
Possibly. While text to video has been experimented with for the last year by lots of hobbyists and other teams, the end results have been mostly underwhelming. Sora’s examples were pretty damn impressive, but I’ll hold judgment until I get to see more examples from common users vs cherry-picked demos. If it’s capable of delivering that level of quality consistently, I don’t see another model catching up for another year or so.
This article will be aged junk in 3,2 …
I get that the article is about user count but that really is about perceived usefulnesses and also more decent ai competitors to chatgpt pro.
They literally only just released text to video which they say will be used as a foundation for agi reasoning.
They have also hinted that training on gpt5 has begun and that it will be faster to train then gpt4
Just before that google came out with a new model that can keep track off 10 mil tokens, beats gemini pro and is also much faster to train. Gemini pro is barely a month old
This will not be a quite year for ai, if theres any flatline its going go be vertical, googles progress nearly is. Most ai progress benefits the entire industry over time.
Given they quietly walked back their stance on military projects during the altman drama my guess would be MI related contracts.
Was this article written by an ai?
The image is AI. Look at the keys on that keyboard. What fucking language is that?
And for you AI fanbois who have to downvote this because nooooooo AI images future - pffft. Your boos mean nothing to me, I’ve seen what makes you cheer.
I’m downvoting you because you’re annoying and a detriment to the conversation, not because you recognised an AI generated image, which really didn’t require an inspection of the keyboard to determine.
Oh yeah well you’re snobbish and truculent and i hereby demote you to poophead. Plus, you should see the other thread where the “obvious” AI image was roundly supported as being real.
That looks like a human generated image. If you’ve played around with text to image generators you’d be hard pressed to find a keyboard that accurate. If I had to guess it’s a separate keyboard and monitor. That’s why the keyboard doesn’t seem to be centered. The hands are in the wrong place probably because they’re simply placed further to the right than a normal typist would be.
For real, try to generate images with a variety of current text to image models and you’ll see what I mean.
