imadethis

We have a “don’t get the slack subpoenaed” emoji that gets frequent use. Incidentally, a lawyer doing discovery in the future could just search for uses of that emoji to find what they’re looking for.

Definitely not all contractors, my company at the very least used to have a contract with ICE and isn’t listed.

The same reason we give beginner math students addition and subtraction problems, not Fermat’s last theorem?

There has to be a base of knowledge available before the student can even comprehend many/most open research questions, let alone begin to solve them. And if they were understandable to a beginner, then I’d posit the LLM models available today would also be capable of doing meaningful work.

12/32 SR71s were lost in the 33 years they were flying. 11/200 MD-11s have been hull-lost from 1988-2025. Not to mention that passenger/cargo planes will put on a lot more flight hours than the SR71s did in a given year.

I don't have any nim experience (sorry!) but I'm also exploring SDL3 with odin. I was able to get a naive battleship clone up and working very quickly, pretty neat. Next step is the new SDL3 GPU API.

The headers A-L are links to the problem PDFs if you want to see.

The college I went to explicitly billed itself as for teaching, and most of our professors were just that. They might do research with the upperclassmen, but their priority was teaching.

That is, until we got a new president who set a new strategic goal for being a top research school and adjusted all hiring and tenure standards for that.

Are there many people involved in follow the sun support or SRE roles there? I know my company only has an engineering presence in Aus and Japan because of the large coverage gap between the US west coast and the EU. Seems like low wages + native English* could be a nice win for companies.

* For some definitions of native. I've had to work as a translator for a Kiwi and an American, both native English speakers.

I've found the same effect when I ask the LLM to do the thinking for me. If I say "rewrite this function to use a list comprehension", I don't retain anything. It's akin to looking at Stack Overflow and copying the first result, or going through a tutorial that tells you what to write without ever explaining it.

The real power I've found is using it as a tutor for my specific situation. "How do list comprehensions work in Python?" "When would I use a list comprehension?" "What are the performance implications?" Being able to see the answers to these with reference to the code on my screen and in my brain is incredibly useful. It's far easier to relate to the business logic I care about than class Foo and method Bar.

Regarding retention, LLMs still doesn't hold a candle to properly studying the problem with (well-written) documentation or educational materials. The responsiveness however makes it a close second for overall utility.

ETA: This is regarding coding problems specifically. I've found LLMs fall apart pretty fast on other fields. I was poking at some astrophysics stuff and the answers were nonsensical from the jump.

No services, only goods. This is according to @JamesSurowiecki on Twitter, one of the first to reverse engineer the equation for how they’re coming up with the numbers. So Office, Netflix, etc wouldn’t count against the deficit.

The union isn't officially launched yet, the talk is at 15:30 Pacific (six hours from now). Even if you can directly tie the quality of AAA games to if the workers who make them are unionized or not, I think it's a little premature to dismiss these efforts.