Does it cache dependency crates to nix store? Does it result to speed-up in builds?
Yes, it caches compiled crates in the Nix store which significantly speeds up builds, especially for projects with large dependency trees.
Readit Newsethan_smith commented on Closing the Nix gap: From environments to packaged applications for rust devenv.sh/blog/2025/08/22... · Posted by u/domenkozar
ethan_smith commented on Waymo granted permit to begin testing in New York City cnbc.com/2025/08/22/waymo... · Posted by u/achristmascarl
I'm mostly curious how they'll handle winter.
Waymo has been testing in snow conditions since 2017 in Michigan and more recently in Chicago, using specialized sensors and machine learning models that can detect road edges and lane markings even when covered with snow.
ethan_smith commented on The US Department of Agriculture Bans Support for Renewables insideclimatenews.org/new... · Posted by u/mooreds
> while boosting support for biofuels, which consume the majority of the country’s cropland.
Wow. I knew it was a lot but did not know it was the majority.
The article's claim is misleading - biofuels don't consume the majority of US cropland. Corn for ethanol uses ~38% of US corn production, but only about 7% of total US cropland is devoted to all biofuel crops combined according to USDA data.
ethan_smith commented on Ask HN: Anyone Else Getting YT Ads from Israeli Government Advertising Agency · Posted by u/ivape
YouTube ads are targeted based on your browsing history, demographics, and location. You can check what Google thinks about you in your ad settings (https://adssettings.google.com) and disable personalized ads or report inappropriate ones.
ethan_smith commented on Do LLMs have good music taste? tylercosgrove.com/blog/ll... · Posted by u/mathattack
“Can LLMs have taste in music?” would need to be answered first, esp if you want to argue they can.
LLMs don't "have taste" - they statistically model human preferences from training data, mapping features to popularity patterns without experiencing the music itself.
ethan_smith commented on Privately-Owned Rail Cars amtrak.com/privately-owne... · Posted by u/jasoncartwright
If you're wondering the most obvious thing:
- Cost per mile: $4.72
- Minimum charge: $2296
There are also a huge number of other fees that I can't tell if you'd need to pay in practice, e.g.:
- Additional Locomotive Fee (per loco mile): $7.54
- Amtrak Locomotive Daily Charge: $2513
- Head End Power Daily Charge: $3433
- Annual Administrative Fee: $574
https://www.amtrak.com/content/dam/projects/dotcom/english/p...
Head End Power (HEP) is the electrical power supplied from the locomotive to the passenger cars for lighting, heating, air conditioning and other amenities - essentially the "hotel load" that keeps your private car functioning while attached to the train.
ethan_smith commented on 800% organic growth, no company, no funding what to do? ivory-app.com... · Posted by u/Skinz
Hey, I recently started this project, and the traffic has exploded over the last few days. I’m leaving the Bay Area in three weeks what should I do?
Set up a simple monetization strategy before leaving (freemium or pro tier), automate what you can, and consider finding a remote co-founder to help manage growth while you relocate.
ethan_smith commented on Building AI products in the probabilistic era giansegato.com/essays/pro... · Posted by u/sdan
While this article is a little overenthusiastic for my taste, I think I agree with the general idea of it - and it's always kind of been my pet peeve when it comes to ML. It's a little depressing to think that's probably where the industry is heading. Does anyone feel the same way?
A lot of the stuff the author says resonates deeply, but like, the whole deterministism thing is why I liked programming and computers in the first place. They are complicated but simple; they run on straightforward, man-made rules. As the article says:
> Any good engineer will know how the Internet works: we designed it! We know how packets of data move around, we know how bytes behave, even in uncertain environments like faulty connections.
I've always loved this aspect of it. We humans built the entire system, from protocols down to transistors (and the electronics/physics is so abstracted away it doesn't matter). If one wants to understand or tweak some aspect of it, with enough documentation or reverse engineering, there is nothing stopping you. Everything makes sense.
The author is spot on; every time I've worked with ML it feels more like you're supposed to be a scientist than an engineer, running trials and collecting statistics and tweaking the black box until it works. And I hate that. Props to those who can handle real fields like biology or chemistry, right, but I never wanted to be involved with that kind of stuff. But it seems like that's the direction we're inevitably going.
The deterministic and probabilistic paradigms will likely coexist rather than fully replace each other - we'll build deterministic interfaces and guardrails around probabilistic cores to get the best of both worlds.
ethan_smith commented on Code formatting comes to uv experimentally pydevtools.com/blog/uv-fo... · Posted by u/tanelpoder
Can't you just do this? Why bundle?
uvx ruff format .The native integration offers persistent configuration, caching, and project-aware behavior that uvx (which just creates an ephemeral venv) doesn't provide.
Look into commercial/digital signage displays from NEC, LG or Samsung - they're designed for pure display functionality with excellent panels, multiple inputs, and zero smart features.