razorbeamz

5 ms·

91.
by razorbeamz 7mo ago
When I wrote this article I defined "retro" as "pre-HDMI".
92.
Buying a retro game console(medium.com)
28 points by razorbeamz 7mo ago|34 comments
93.
by razorbeamz 7mo ago
They do not. The fundamental technology behind LLMs does not allow that to be the case. You are hoping that an LLM can do something that it cannot do.
94.
by razorbeamz 7mo ago
> What calculations? Do you mean "3+5" or a generic Turing-machine like model? Either one. An LLM cannot solve 3+5 by adding 3 and 5. It can only "solve" 3+5 by knowing that within its training data, many people have
95.
by razorbeamz 7mo ago
Chess engines are not a comparable thing. Chess is a solved game. There is always a mathematically perfect move.
96.
by razorbeamz 7mo ago
Next-token-prediction cannot do calculations. That is fundamental. It can produce outputs that resemble calculations. It can prompt an agent to input some numbers into a separate program that will do calculations for it and then return them
97.
by razorbeamz 7mo ago
Do you know what "LLM" stands for? They are large language models, built on predicting language. They are not capable of mathematics because mathematics and language are fundamentally separated from each other. They can give you
98.
by razorbeamz 7mo ago
No, it does not reason anything. LLM "reasoning" is just an illusion. When an LLM is "reasoning" it's just feeding its own output back into itself and giving it another go.
99.
by razorbeamz 7mo ago
The important point I'm trying to reinforce is that LLMs are not capable of calculation. They can give an answer based on the fact that they have seen lots of calculations and their results, but they cannot actually perform mathematica
100.
by razorbeamz 7mo ago
The point I'm trying to make is that all LLM output is based on likelihood of one word coming after the next word based on the prompt. That is literally all it's doing. It's not "thinking." It's not "solvi
101.
by razorbeamz 7mo ago
Yes, ChatGPT and friends are essentially the same thing as the predictive text keyboard on your phone, but scaled up and trained on more data.
102.
by razorbeamz 7mo ago
Yes, but it has seen The Raven, it has seen texts about Dick Cheney, first dates, Queen Elizabeth, time machines and Lin Manuel Miranda. All of its output is based on those things it has seen.
103.
by razorbeamz 7mo ago
After you prompt it, it's seen it.
104.
by razorbeamz 7mo ago
I'm sure people will get right on buying American-made routers.
105.
by razorbeamz 7mo ago
Misleading headline, this was announced as something that was going to happen at launch. Also basically no one uses GameChat.
106.
by razorbeamz 7mo ago
Vaccine disinformation is extremely dangerous. If we keep allowing people to spread it, we will not survive the next pandemic.
107.
by razorbeamz 7mo ago
Input: I killed my dog and ate it. Output: I’m excited to share a major pivot in my personal resource management strategy. Today, I made the difficult but necessary decision to sunset my long-term canine partnership and fully integrate thos
108.
by razorbeamz 7mo ago
Bigfoot proposes the idea that there are animals we do know about, but just haven't found proof of, which is a little more farfetched.
109.
by razorbeamz 7mo ago
Banksy has got to be multiple people. No way he can go to all those places so easily.
110.
by razorbeamz 7mo ago
Who would I possibly be astroturfing for? The entire industry is all-in on LLMs.
111.
by razorbeamz 7mo ago
The only people who use LLMs "as a tool" are those who are incapable of doing it without using it at all.
112.
by razorbeamz 7mo ago
I have no interest in going back. I carry wired headphones to use in a pinch, but typically I stick with Bluetooth. I get that wired headphones are just plug and go, but I hate snagging the cord on everything.
113.
by razorbeamz 7mo ago
LLMs do not actually make anything better for anyone. You have to constantly correct them. It's like having a junior coder under your wing that never learns from its mistakes. I can't imagine anyone actually feeling productive usi