This really put NVIDIA in clutch for the gaming.

There needs to be more foundational work in this field that can outperform or even improve the NeRF-based techniques. And the current herd mentality of researchers should be changed into exploring the alternatives. There is a reason why expensive automobile companies still rely on the physical modelling of their design. It's hard to simulate the physical conditions only through CAD modelling. Sure NeRFs are cool and they can make impressive results. That doesn't necessarily mean it is the means to an end. Look where rasterization brought us! NeRF is like rasterization. It is going to be used. But highly quality graphics was possible through GI and ray tracing! NeRF needs something equivalent that is physically grounded.

Also some of the people hyping it around are confident. How can they be so confident? Is it just blatantly lying into another's face and hoping you won't get caught?

I am really curious about this one. Any clue?

There aren't any significant achievements. The ideas are more or less the same from 2017/2018 only scaled up. People have only recently started noticing the behavior like in-context learning. But some write with confidence as if they are the guru? Where does this confidence come from?

Comments URL: https://news.ycombinator.com/item?id=36861472

Points: 2

# Comments: 2

On serious note, do you think as society progresses with use of AI, our brain will be geared toward filtering everything or we will lose the trust system that is prevalent in the society?

Think about it, the more people are being shut for bot, they more likely they will stop interacting online and this might eventually lead to a lot of people discarding the interaction. For most part, life is pretty average. And if average people are out, what might be the implications?

Also I think this will inspire other companies and help those companies (cough microsoft, apple) create their own version which they will integrate to their own lineup. It will be interesting seeing it in future.

Disclaimer: I am not AI and I typed this response in my tablet. People for some reason have tendency to assume I answer like a bot.

https://entangledlogs.com

The dot is the center! Try to adjust to that!

I hope this clarifies the answer now.

Now that is done I am quite curious on how you came up with the idea it was written by ChatGPT? I just wanted to simplify as best as I could. It’s funny you thought it that way.

What could I have done so that it didn’t sound like response from ChatGPT? I am asking it to prevent future misunderstandings. I thought my grammatical errors would be enough to show it wasn’t a ChatGPT response.

Looking forward to your reply!

2. It can handle upto 8k tokens. Tokens are usually some representation for a word. If your tokens are characters then, "h", "e", "y" represent 3 tokens for hey. Most of the algos use byte pair encoding. For example "hand-le" has two tokens "hand" and "le". This is a very crud example which is enough to give the gist but is not accurate. You can look into byte pair encoding for more details.

3. The token size 1.5T token means they have huge variations for input and output. Simply put, it was trained on large data corpus.

I hope this simplifies it. You can research further if you are interested! Hope it helps!

Comments URL: https://news.ycombinator.com/item?id=36254325

Points: 2

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=36159175

Points: 16

# Comments: 2

With all due respect, I would also like to market someone else who has also been posting similar content, but for some reason those posts never make it to the top. If you don't believe me, you can check the following submissions:

[0]: https://news.ycombinator.com/item?id=35745457

[1]: https://news.ycombinator.com/item?id=35915140

They have been consistently putting the risks of LLMs. Thanks for spreading the information though. Cheers.

Comments URL: https://news.ycombinator.com/item?id=35581970

Points: 1

# Comments: 0

What were the sentiments of the people who researched computer technology in the early days of personal computing? Also, what were the sentiments of people involved during the early days of the internet?

If there are any public opinions on the sentiment of people who researched in these fields, can we get some?

Thank you

Please link to the authentic sources and general sentiments of the people who were involved in technological progress. I am asking this question because I don't feel that people who were part of the technology opposed the proliferation of it. Instead, every major revolution was supported until recently (esp. around 2015-2016).

Comments URL: https://news.ycombinator.com/item?id=35394047

Points: 5

# Comments: 5

Comments URL: https://news.ycombinator.com/item?id=35317992

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=35301657

Points: 238

# Comments: 41