IIRC, there are few places in the US where it's legal to just plop an RV on an undeveloped lot and live in it all year. I.e. you need a proper well and septic at the least (these are expensive). Many counties also have laws specifically to prevent people from doing this (I.e. only allowing camping on your land 14 days in a 30 day period). Many people break these laws, but they do exist.

It can be cheaper, but only if you give up a lot of conveniences. I.e. you can boondock on BLM if you move every 2 weeks. Would want solar, a large battery bank, and probably a backup generator. Will want to always be conserving power, fuel, and water. If you want to camp with hookups all the time, it would be more expensive than an affordable apartment.

I only tried it a few times in the web chat interface. Seemed worse than Sonnet in that environment. Probably needs more reinforcement tuning for chat. Guessing it was tuned more for Claude Code.

I don't. But, I don't think posts about oral sex are typically the top post on the equivalent of "All" on other social media, as this post was. I could be wrong. I routinely see sexual topics on All here (sorted by Active). Nothing wrong with it, just making an observation.

Lemmy is horniest social media I've ever used.

Is it people deleting specific posts, or people deleting their accounts? I do find it kind of weird that when you delete your account, it deletes all the data you contributed. Maybe it's the right choice though, IDK.

I do not know the reason for the downvotes. I saw that and thought that was weird too.

I'm not very familiar with RL, but this is really cool. I would think it would take years to train in real-time :)

Reminds me of this: https://www.youtube.com/watch?v=xOCurBYI_gY

From what I understand about contextual bandit problems (I'm a little more familiar with them), I think what you're doing is somewhat similar to "posterior reshaping" in Thompson Sampling to adjust the exploration/exploitation tradeoff. E.g. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/thompson.pdf

I tried a Volcano, and because of the long melt zone, I wasn't able to completely tune out the oozing/stringing (on my Bowden at least). I dunno if the newer high flow hotends still have this problem or not (or if they're fine on direct drive); something to consider.

I actually have a Orbiter 2, and think I'm going to try the Volcano again. I still need to print a new toolhead for it.

I have a Dragon SF on my Voron which seems to work well (in a Stealthburner/Clockwork 2). I like that I don't need to use 2 wrenches to change nozzles (unlike a V6) and that it securely attaches to the toolhead with screws (in the Stealthburner).

Gulf states?

They are cheaper to buy, but the quality and durability of everything makes them expensive. Things wear out or break fast. Everything is sealed with shitty sealant that is prone to cracking and leaking, and needs to be resealed every 3-5 years. If there is a leak, the moisture stays trapped and starts rotting out everything. The roofs are covered with a thin membrane that breaks down from the elements and UV, and can get holes ripped in it from twigs. Fuel to travel is expensive. RV parks are somewhat expensive. Poor insulation and inefficient HVAC. Heating and cooking (and water heating and sometimes refrigeration) with small propane tanks is inconvenient and somewhat expensive. Some full time RVers find it costs more than before they started doing RV full time.

There are good quality RVs that mitigate some of these issues (Airstreams and Class A), but they cost as much as houses in some areas in the US.

14 H100 GPUs per user that they serve

Not per user, but probably decent rough estimate to that per vibecoding dev that is continually running agents 8+ hours/day. Some people's "workflows" involve running multiple parallel agents sometimes or even a significant portion of the time (using the git worktree feature), so I think that's probably a decent rough estimate. I imagine the limit would be serving 10 of these types of "devs." Of course, there's batching and stuff that can be done, but I think it still slows everybody else down near linearly. H100s aren't the only accelerators used for inference; I just chose it as an example. Google has ~5 million H100 equivalent accelerators, Microsoft has 3.5 million, and Amazon has 2.5 million (https://www.networkworld.com/article/4156949/google-owns-the-most-ai-compute-and-it-built-it-its-way.html).

Probably more expensive than the subsidized costs. Hmm...

H100 GPUs cost $25k, and have 80GB of RAM. Kimi k2.6 has 1.1T parameters. Assuming 8 bit quantization, would need 14 GPUs to run a single agent at a time (I'm not sure the cloud models use quantization; it could be double). So, $350k per vibecoding dev on GPUs alone. Life expectancy is ~4 years, so ~90k/year amortized. This is ignoring the significant electrical/HVAC cost of handling 10KW of electricity and heat per vibecoding dev (and tons of other costs as well).