ChrisGreenHeur

5 ms·

31.
by ChrisGreenHeur 3mo ago
When it happens they won’t tell you about it
32.
by ChrisGreenHeur 3mo ago
For software you don’t need to do engineering. You just need to provide value to your employer. No need to make a product perfect, but there is a need to make the product more valuable to your employer. Likely it will not be more valuable i
33.
by ChrisGreenHeur 3mo ago
They make up for the losses through lower profits
34.
by ChrisGreenHeur 3mo ago
Best way to show this is to implement information in multiple physical substrates. Make a book out of paper and make it out of clay. Same information. The physical substrate doesn’t matter.
35.
by ChrisGreenHeur 3mo ago
I mean, I am doing just this over here: https://github.com/ChristofferGreen/PrimeStruct
36.
by ChrisGreenHeur 3mo ago
I said nothing about one shooting it. there is a thousand different ways to hash out the reality of implementing the idea
37.
by ChrisGreenHeur 3mo ago
Any day now.
38.
by ChrisGreenHeur 3mo ago
Sure a human would write the language spec and the llm implement it
39.
by ChrisGreenHeur 4mo ago
I mean, if they would just stop launching the water via rocket into the sun after using it then it would not be so bad. I strongly suspect the water could somehow be re-used. Though we might need to spend several decades in r&d in order
40.
by ChrisGreenHeur 4mo ago
They own stock in the company they founded. So, you force the founder to sell 95% of the stock they own in the company. Is this a good idea for the stock price of that company as well as the for the ability of that company to raise cash?
41.
by ChrisGreenHeur 5mo ago
If Saab wanted to they could spin up a car factory as well. But they are more interested in selling these airplanes the article is about.
42.
by ChrisGreenHeur 6mo ago
my guess would be due to having an interest in the field
43.
by ChrisGreenHeur 6mo ago
80 minutes! 80 minutes of just trying shit!
44.
by ChrisGreenHeur 6mo ago
True, but the qualifying the power played a large part. Most likely nuclear power for this high quality token efficiency.
45.
by ChrisGreenHeur 6mo ago
eh, there is nothing a gpu can do here within the concept of composition that a cpu could not also do. the gpu simply has buffers that it compsits, the cpu can do that as well. with the benefit of less complexity leading to not needing to w
46.
by ChrisGreenHeur 6mo ago
one of the more interesting things to think about is the big push to rendering all window manager stuff through a gpu, because we were sure we needed drop shadows and geometry transforms for windows.... Now, what we actually do in a window
47.
by ChrisGreenHeur 6mo ago
if you can't get ai to handle git, that's certainly a skill issue
48.
by ChrisGreenHeur 6mo ago
Presumably, randomness and only looking at a limited subset will semi-ensure over time that most contradictions will surface. Alternatively, how large do you really expect this kind of thing to be, there is a limit to the amount of facts fr
49.
by ChrisGreenHeur 6mo ago
The article is not on training LLMs. it is about using LLMs to write a wiki for personal use. The article assumes a fully trained LLM such as ChatGPT or Claude already exists to be used.
50.
by ChrisGreenHeur 7mo ago
If you let in 100 and then throw out 90 you have thrown out many more than if you let in 10 but throw out 30. But the end result is better.
51.
by ChrisGreenHeur 7mo ago
it could be possible that llms can mak great use of them
52.
by ChrisGreenHeur 7mo ago
re-read your post - it's just a bunch of nonsense, no actual reasoning in there
53.
by ChrisGreenHeur 7mo ago
Quake 2 runs a bit iffy on an O2, but runs fine on PC with a Voodoo 1
54.
by ChrisGreenHeur 7mo ago
I see the alternate reality like so: SGI creates a low power cpu for Apple to use in portable devices, eventually in desktops and laptops (no Arm). And either: SGI launches low budget PC with playstation 1 level 3d graphics as soon as they
55.
by ChrisGreenHeur 7mo ago
It's not possible to know something without believing it to be true. https://en.wikipedia.org/wiki/Belief#/media/File:Classical_d...
56.
by ChrisGreenHeur 7mo ago
Science reduced to people with a phd?
57.
by ChrisGreenHeur 7mo ago
The point is the small variations
58.
by ChrisGreenHeur 7mo ago
It can also mean that the other programming language is above the cognitive abilities of the LLM
59.
by ChrisGreenHeur 7mo ago
I found it to be the best model if you want to talk about topics philosophical. It has no problems going deep and technical while other models tend to be afraid of overshooting the comprehension of the reader.
60.
by ChrisGreenHeur 7mo ago
the hardware you typed this on was designed by hardware architects that write little to no code. just types up a spec to be implemented by verilog coders.

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