Tears of joy, no doubt

Username checks out

I’m genuinely not sure what has you so reactive here, but go off queen

Typically the primary product of the farm would be the livestock though, not the manure. I’ve never heard of someone using an entire farm just for collecting and processing manure.

What exactly is meant by “manure farm” here? If they mean “farm that fertilizes with manure” then that’s a weird jeer since it’s not uncommon.

Also an 80 year old man doing this sounds hysterical.

To staffers - What do the kids like nowadays? What’s that? Go chella? Yeah give me a gochella rally next

Not exactly an espresso grinder, but I absolutely love my Baratza Virtuoso (not the plus). Couldn’t recommend it more highly.

No messing around, just a good looking, weighty, stainless appliance that does the job.

Can be had for cheap on ebay or similar. Tons of interchangeable parts and guides. Super easy to clean. Couldn’t ask for more. Well, maybe a single dose hopper just for fun.

The range is absolutely perfect for Aeropress/V60 up to cold brew. Maaaaaybe fine enough for espresso depending on your setup. Definitely worth the few extra bucks if you’re considering a Baratza Encore or similar.

Comparing Switch Immersion vs Aeropress?

That’s a good question. Been a while since I’ve gone actually immersion brewed with it (usually just pour over and use the stopper for pre heating with less water). I’ll make a couple of cups and get back to you.

Edit:

Cup making done! The immersion brew is super clean and easy. I do think some type of lid would help for longer brew times to keep the heat in on the Switch though.

I think both the Aeropress and Switch Immersion lend themselves well to darker (chocolatier/nuttier) extractions. After this little test I will probably switch over to immersion brewing for my afternoon decaf for the foreseeable future!

It’s mostly Mastodon. (Shoutout to @RmDebArc_5@sh.itjust.works for posting the link to FediDB)

asking the real questions

Can’t say enough good things about mine.

If I would start all over, the only two coffee makers I would own are:

• Aeropress
• Size 03 Hario Switch (V60 + a stopper for immersion brew)

A firejail doesn’t hurt either ;)

I prefer Syncthing-fork for some more straightforward configuration. Mainly the three button options equating to “follow the run conditions, damnit”, “run damnit”, and “stop damnit”

Coarse Salt. Add just enough water to move it around + a little dish soap and shake. Works like a charm.

“Chuff” in the context of rock climbing = bad, made an effort but didn’t get very far / fell a lot

Even in the US, state-level representation hardly counts as local. Neighborhoods, towns, counties, etc. all have people representing them.

It’s cool to care about and build up your community.

Even faster – tailscale. For a cheeky way to play with your friends make a burner account with a shared login to get on the same tailnet for free. On the endpoints, turn off tailscale-ssh and any of their other “features” you don’t need.

I immediately thought this was salt. Maybe I’m the monster.

Second this ^

I have one and it’s fine, but not directly supported by OpenWRT. Looks like Beryl and Slate are though

Excellent notes. If I could add anything it would be on number 4 – just. add. imagery. For the love of your chosen deity, learn the shortcut for a screenshot on your OS. Use it like it’s astro glide and you’re trying to get a Cadillac into a dog house.

The little red circles or arrows you add in your chosen editing software will do more to convey a point than writing a paragraph on how to get to the right menu.

Believe what you will. I’m not an authority on the topic, but as a researcher in an adjacent field I have a pretty good idea. I also self host Ollama and SearXNG (a metasearch engine, to be clear, not a first party search engine) so I have some anecdotal inclinations.

Training even a teeny tiny LLM or ML model can run a typical gaming desktop at 100% for days. Sending a query to a pretrained model hardly even shows up on HTop unless it’s gigantic. Even the gigantic models only spike the CPU for a few seconds (until the query is complete). SearXNG, again anecdotally, spikes my PC about the same as Mistral in Ollama.

I would encourage you to look at more explanations like the one below. I’m not just blowing smoke, and I’m not dismissing the very real problem of massive training costs (in money, energy, and water) that you’re pointing out.

https://www.baeldung.com/cs/chatgpt-large-language-models-power-consumption