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The author of that article admits that the sample size is not large enough to draw meaningful conclusions.
Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.
But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,
So, exactly like a junior dev?
going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.
That’s a different claim than the one you opened with though. Most of those objections have documented counter-arguments, btw:
blog.andymasley.com/…/a-cheat-sheet-for-conversat…
…substack.com/…/why-anthropic-burned-the-books
Data centres were polluting long before LLMs arrived. Crypto, cloud storage, Netflix, YouTube, AWS - AI isn’t all data centre load. Blaming the latter for the former is like blaming sunscreen for melanoma.
The author of that article admits that the sample size is not large enough to draw meaningful conclusions.
Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.
But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,
So, exactly like a junior dev?
going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.
That’s a different claim than the one you opened with though. Most of those objections have documented counter-arguments, btw:
blog.andymasley.com/…/a-cheat-sheet-for-conversat…
…substack.com/…/why-anthropic-burned-the-books
Data centres were polluting the environment long before LLMs arrived. Crypto, cloud storage, Netflix, YouTube, AWS… AI =! all data centres.
The author of that article admits that the sample size is not large enough to draw meaningful conclusions.
Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.
But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,
So, exactly like a junior dev?
going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.
That’s a different claim than the one you opened with though. Most of those objections have documented counter-arguments, btw:
The author of that article admits that the sample size is not large enough to draw meaningful conclusions.
Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.
But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,
So, exactly like a junior dev?
going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.
That’s a different claim than the one you opened with though. Most of those objections have documented counter-arguments, btw:
The author of that article admits that the sample size is not large enough to draw meaningful conclusions.
Hey, you brought it up - I just pulled the thread. Not my fault it cuts against your argument.
But besides that, I believe LLM code generators can be a useful tool, provided you are willing to go over their output with a fine-tooth comb and assume it is broken until you have proven otherwise,
So, exactly like a junior dev?
going to completely solve it, and are willing to overlook the myriad ethical issues with all major LLMs in existence today.
That’s a different claim than the one you opened with. Most of those objections have documented counter-arguments, btw: