golol

28 ms·

451.
by golol 4y ago
All chatbots require AI to really be useful. This just did not exist until a few years ago.
452.
by golol 4y ago
>but they were fundamentally capable of the same things. This is not the case. The difference between current state of the art NLP and chatbots 3 years ago is so massive, it has to be seen as qualitative. Pre GPT-3 computers did not unde
453.
by golol 4y ago
it is a markov chain; At least the underlying decoder only transformer is.
454.
by golol 4y ago
I've just come across this https://mobile.twitter.com/justLV/status/1637876167763202053 It seems like a great example. This can be done by just chaining together existing models and really doesn't take m
455.
GPT-4 can almost learn games like Tic-Tac-Toe(pastebin.com)
1 points by golol 4y ago|1 comments
456.
by golol 4y ago
Recently there has been some debate of GPT-4 can play chess or Tic-Tac-Toe, and if it really understands what it is doing. I am not trying to make any claims but I do wnat to show some evidence that GPT-4 is not just "regurgitating thi
457.
by golol 4y ago
What are you on about? This is exactly what LLMs like GPT-3 or GPT-4 can and will solve. It just takes some time. But the capability to understand, reason about and execute via API calls such simple instructions has absolutely been demonstr
458.
by golol 4y ago
definetly not.
459.
by golol 4y ago
I think one should also acknowledge that OpenAI has been perhaps the leading provider of cutting edge AI to the public. They let the public play against Dota Five, they provide their GPT playground and API, and they were the first to give s
460.
by golol 4y ago
> The problem with the text ones is that people think that showing them words mean that they make a model of the thing the words are describing, rather than of how those words go together. I believe a colossal truth is that the most effi
461.
by golol 4y ago
future AI systems based on LLMs and other foundation models might think less like individuals and more like companies. Ironically, LLMs might finally make symbolic AI possible! The way I see it, symbolic AI was always missing a small sprink
462.
by golol 4y ago
It is mostly a matter of prompt engineering and it is definetly possible. The question is if it improves importance though. I personally believe that future models will be combinations of various expert models (multi modal, search, calculat
463.
by golol 4y ago
This is exactly what I talked about in this post https://news.ycombinator.com/item?id=34445896 The reduced version is that decoder only transformer LLMs can not generate a hash of a random animal name followed by the animal
464.
by golol 4y ago
There are at least 3 radically different concepts of a 4 day work week: - same hours, same pay - reduced hours, same pay - reduced hours, reduced pay Why is it always so hard to find this information when people discuss 4 day work weeks? Th
465.
by golol 4y ago
Every time I use flexbox I google flexbox and click on the top result.
466.
by golol 4y ago
I see consciousness as equivalent to AGI. I will accept a text generating model as AGI if it: - has long term memory (soesn't have to be text, but equivalent in content to maybe at least 10000-100000 words. Maybe more, I don't kno
467.
by golol 4y ago
Id say these tasks (coming up with a good artiatic theme for a company) when considered in the full limit of their potential complexity are AGI
468.
by golol 4y ago
But you should realize that any artist learning prompt engineering should be a better AI-artist than a non-artist learning prompt engineering. After all, art is not jsut about technique but also creativity, composition, theme etc., right? A
469.
Giving Bing a Persistent Memory(old.reddit.com)
1 points by golol 4y ago|1 comments
470.
by golol 4y ago
This is an experiment. So far I could not make bing find the thread (not enough traffic). I am very curious to see how it will react after reading it.
471.
by golol 4y ago
They are not faked. I have Bing access and it is very easy to make it go off the rails.
472.
by golol 4y ago
Im not saying that one can not differentiate these things, but people absolutely use spicy/spiced to refer to all of these
473.
by golol 4y ago
Yea collecting sci fi ideas is fun but writing a book is wayyy too hard sadly ...
474.
by golol 4y ago
And then "bland" is used as the opposite of "spicy"...
475.
by golol 4y ago
When I first learned about homomorphic encryption it gave me the idea of "cryptographic AI", as some sort of sci-fi writing prompt. Suppose compute is readily available to interstellar civilizations but actually designing a (super
476.
by golol 4y ago
I hate the word spicy in the english language. It can mean a number of completely different things: - High in capsacin - Creating some sort of pain or funny sensation when consumed - Containing "spices" depending on which definiti
477.
by golol 4y ago
Classic goalpoast moving. We are just dumping a hundred lines of instructions to the AI and it amazingly does manage to execute the majority of them most of the time. Of course it will not work all the time. LLMs will never do things 100% r
478.
by golol 4y ago
In this world. Because it works. ChatGPT is creating value as we speak. I have used it to learn the fundamentals of RegEx and avoid the matplotlib documentation. I have seen people say that it hekpse them to be able to speak to someone abou
479.
by golol 4y ago
SpaceX is launching more than twoce the payload to orbit than the rest of the world combined though... without starship. Also how is Falcon Heavy years away from being useful?
480.
by golol 4y ago
You underestimate how incredibly difficult the work that SpaceX is doing is. No spaceflight oraganization in the world is close to having the capabilities that SpaceX has right now (Falcon 9, Falcon Heavy). Meanwhile Starship is almost read

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