98 karma · joined December 25, 2022
That's my experience! n≈30 Gen Z.
Additionally, the image generation itself is quite different. ChatGPT's DALL-E seems to create much more stylized images - much harder to get plain shots that don't heavily embellish your description.
Which is achieved how for an LLM?
The lag compensation is, more intuitively, just allowing the client to move on its own without needing server verification yet. The server maintains the authoritative game state, but (assuming no cheating is going on) the clients are able to move as they think they will. In the background, the client is actually sending its inputs to the server, and they technically haven't happened until the server verifies them (however many milliseconds later), but we allow the client to move on its own regardless.
The yanking back only happens if the client's new state (position etc.) don't match the server's state.
You'll never hit a ratelimit as far as I can tell, and it's usage-based so it will probably come out cheaper than $20/mo for regular usage.
Edit: Nevermind, it took ~2 days. Point still stands, I just checked out the form and I definitely ticked "General exploration of capabilities", which is probably the least interesting option if OpenAI is being selective.
In fact, there's no reason to think that academic papers won't start using language models to write better.
Tainting your text with AI can be as simple as pasting a paragraph in and asking if there's anything to improve.
Is that a real technique? Why not just shrink down the model itself directly somehow, is that not possible?
https://twitter.com/aaronsibarium/status/1622425697812627457 (refusing to support saying a slur to prevent millions of deaths)