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The majority of people don’t have a use for chat bots day-to-day, especially one that’s as censored and outdated as ChatGPT (its dataset is from over 2 years ago).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 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.
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.
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.