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Typo in the first sentence of the first paragraph is oddly comforting since AI wouldn't make such a typo, heh.

Typo in the first sentence of the second paragraph is sad though. C'mon, proofread a little.


I think everyone should now make mistakes so we ca distinguish human vs ai.

This can be optimised for no doubt, adversarial training is like that

Someone's never tried to locally compile a Rust program. :)


Or C++. I buy fairly fast computers to compile stuff. Generally top of the line desktop hardware because Threadripper isn't as much better as it's more expensive (and annoying to cool!), so the next price point that makes sense is a highly clocked (because single thread also matters) Epyc for like 10k€.

I also do caching and distributed compilation with sccache.


I moved over to Linux a few months ago. Absolutely zero issues. My only thought was, "Wow. Why didn't I do this sooner?" There's nothing Windows can do to bring me back at this point.


> You can use OpenCode programmatically, thus turning that $200/mo Claude Code account into a very cheap Opus 4.6 API service.

Can you explain what you mean by this?


You can easily automate OpenCode - more so than the basic Claude Code or Claude desktop app - in a way that automatically uses the maximum amount of subscription quota every cycle. And in an inefficient way that Anthropic can't cache on their end.

If you know anything about subscription models, you know that ALL of them are built on the fact that most of the users don't use the full capacity available all the time.


Their SDK shows a really basic example that you could build out pretty easily, ironically about Anthropic:

https://opencode.ai/docs/sdk/#structured-output

You can stand up an OpenAI compatible API layer in front of it and just feed the requests back and forth. Adds a little delay, but not much.


...is there an XKCD relevant to the fact there's always a relevant XKCD?



Just a small project to assist with some stuff at work, but trying my hand at vibe-coding a "data science playground" to try and level-up a couple of people into feeling comfortable using Claude to write data analysis tools. I generated a bunch of synthetic data, that looks like stuff we might encounter on the job, and embedded trends into the data that can be revealed through statistical analysis. I encrypted the answers and put a lil LLM in front of the answer file. You submit answers to the LLM and it tells you warm/cold by looking at the answer file. Hoping to basically gamify the learning process to make it easier/faster to get data-driven results.


I think you're just trying to see ambiguity where it doesn't exist because the looser interpretation is beneficial to you. It totally makes sense why you'd want that outcome and I'm not faulting you for it. It's just that, from a POV of someone without stake in the game, the answer seems quite clear.


I think big players also have significant risk exposure during black swan events and the timeline of their operations makes those incidents not entirely unlikely to occur. It's sort of like insurance - most of the time they just get to extort rent, but sometimes they get crushed, too.

https://finance.yahoo.com/quote/HPP/

Check the 5-year on Hudson Pacific. They're down 96% and dropping. They own a significant number of downtown commercial properties in SF and LA. They're completely underwater, their spaces are barely half full, and they can't lower rents without violating their bank loan covenants.

Of course, if the commercial landscape hadn't shifted in a way nobody could predict then, yes, they'd likely have continued to print money for the foreseeable future. Instead, they're left holding a very heavy bag and will take it to the grave.


I don't even know what areas of the United States I would consider "walkable". I live in San Francisco, don't own a car, we have "pretty good" public transit, and it's still absolutely miserable getting around. It takes me 40 minutes to go from Outer Sunset to downtown by muni. There are many locations in this city that I can physically jog to faster than public transit.

I can appreciate this technology might negatively impact other countries more heavily, but, for me, it's easily the most exciting tech I interact with and I'm rooting for it whole-heartedly. I'm at around 1000 miles logged on Waymo and am part of their beta tester program for freeway usage.

I also think that post-Covid remote work has probably damaged incentives for increasing the density of cities more so than anything autonomous vehicles will do. San Francisco is actively cutting bus routes, bus density, and threatening to significantly cut BART stops due to budget constraints and reduction in ridership.

It's odd because I do get where you're coming from, and I feel like I should be your target audience, but, for me, the ship sailed so long ago that I struggle to relate to your position.


I think this thread conflating between walkable and having good transit. A walkable city means almost everything you need is within walking distance. That doesn’t mean there are buses or trains to take you out of this area. I live in a walkable part of the city. Within a 15-minute walk, there are three supermarkets, perhaps twenty restaurants with different cuisines, four pharmacies, one each of USPS/UPS/FedEx for shipping, four different banks, three dry cleaners… you get the idea. The only transportation tool I need is my two legs.

Now of course sometimes I’m not content staying within this 15-minute circle. Then I simply choose the fastest method of transport to get there. Is BART or Muni faster than the Waymo trip? Then yes I’ll take pubic transportation. That’s what good transit is for.


You exemplify the defeatism that the auto makers are counting on.


I literally have never owned a vehicle in my life. If you feel I exemplify defeatism then I think you need to look inward.


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