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Comment Re:C'mon, Saudi (Score 5, Informative) 92

Nothing would make it “help get a little closer to making it a reality” if it’s not physically possible, and there’s a very strong argument that that’s the case. If nothing else, the maximum specific tensile strength allowed by covalent bonding - which is fundamental physics that we can’t change - combined with the reality of defects in a 36,000 km cable - is far below what’s needed to build a space elevator in Earth gravity. It might be possible to build a space elevator on the Moon or even (in the far future) on Mars, because their gravity is such that real materials could potentially do the job. But doing that involves bootstrapping an entire offworld industry, which is far beyond anything even the most advanced nations are capable of currently, let alone a technologically stunted oil state.

Submission + - Python Software Foundation refuses $1.5 million grant with anti DEI provision. (blogspot.com) 1

Jeremy Allison - Sam writes: The PSF has withdrawn a $1.5 million proposal to US government grant program.

"We became concerned, however, when we were presented with the terms and conditions we would be required to agree to if we accepted the grant. These terms included affirming the statement that we “do not, and will not during the term of this financial assistance award, operate any programs that advance or promote DEI, or discriminatory equity ideology in violation of Federal anti-discrimination laws.”

Comment "Smaller than a hair" - no (Score 1) 15

If you read the article carefully, they are talking about lenses THINNER than a hair. I see several of the posts here thinking the width/radius of the lenses is this small, a reasonable mistake given the way this was written. Having a radius that small would severely reduce their light gathering ability, requiring very bright light or very dim images or very long exposure times.

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Comment Re:A question for AI crazy management. (Score 1) 121

This matches how I use it. I’ll add a few other points:

4. Writing the first core version of a service or UI. I’ll typically use close to 100% of those generated lines, and then continue building with LLM assistance where it makes sense. It makes a big difference to development velocity.
5. Finding bugs. If some bug isn’t obvious to me, provide the code to an LLM and describe the problem. Its success rate is high.
6. Working with tech I’m not particularly familiar with (an extension of your #3, i.e. learning)
7. Writing documentation.
8. Reverse engineering existing code, i.e. describe some code to me so I don’t have to dig through it in detail.
9. Writing unit tests.

Comment Re:Cannot wait... (Score 1) 159

This is why code generating LLMs need to make heavy use of external tools.

Are you saying that ChatGPT, Claude, Deepseek etc. “make heavy use of external tools” to write code? Because they all write pretty good code, up to a certain size of program. Certainly far better than the average human, who can’t code at all; or the average software developer, who isn’t really very good.

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