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…
They make up for the losses through lower profits
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.
I mean, I am doing just this over here: https://github.com/ChristofferGreen/PrimeStruct
I said nothing about one shooting it. there is a thousand different ways to hash out the reality of implementing the idea
Any day now.
Sure a human would write the language spec and the llm implement it
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…
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…
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.
my guess would be due to having an interest in the field
80 minutes! 80 minutes of just trying shit!
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…
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…
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 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.
it could be possible that llms can mak great use of them
re-read your post - it's just a bunch of nonsense, no actual reasoning in there
Quake 2 runs a bit iffy on an O2, but runs fine on PC with a Voodoo 1
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…
It's not possible to know something without believing it to be true. https://en.wikipedia.org/wiki/Belief#/media/File:Classical_d...
Science reduced to people with a phd?
The point is the small variations
It can also mean that the other programming language is above the cognitive abilities of the LLM
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.
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…
They make up for the losses through lower profits
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.
I mean, I am doing just this over here: https://github.com/ChristofferGreen/PrimeStruct
I said nothing about one shooting it. there is a thousand different ways to hash out the reality of implementing the idea
Any day now.
Sure a human would write the language spec and the llm implement it
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…
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…
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.
my guess would be due to having an interest in the field
80 minutes! 80 minutes of just trying shit!
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…
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…
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 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.
it could be possible that llms can mak great use of them
re-read your post - it's just a bunch of nonsense, no actual reasoning in there
Quake 2 runs a bit iffy on an O2, but runs fine on PC with a Voodoo 1
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…
It's not possible to know something without believing it to be true. https://en.wikipedia.org/wiki/Belief#/media/File:Classical_d...
Science reduced to people with a phd?
The point is the small variations
It can also mean that the other programming language is above the cognitive abilities of the LLM
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.