Berlin is surrounded.

Monero has its own proof-of-work blockchain, and it is very similar to Bitcoin's design. The main differences are the way transactions are recorded (private but larger data size), the time to produce each block (2 minutes), the block reward schedule (fixed at 0.6 XMR), and the proof-of-work algorithm (ASIC-resistant so CPUs are the best miners).

I think a lot of people are sleeping on mining Monero with their desktop computers. Swap it to BTC if you want, but why let your asset be unproductive? Computers are Monero space heaters. And there will be a lot of used PCs for sale this year because Microsoft is forcing companies to replace anything older then 8th-gen CPUs for Windows 11.

Former palantir employee explains how this happening right now, worth a read: https://zigguratmag.substack.com/p/the-guernica-of-ai-c4b

Hah, not at all. It sounds like a good idea, but I always think too much about how an idea won't work, and then never try it.

The best to way to find out how it will go wrong is to try it. Go for it!

I'm not sure how well it would scale. The human evaluating and zapping seems like a bottleneck and source of bias. Counting votes from a free-form reply with a script could be messy too. Is this intended to be done through regular kind 1 notes and replies?

Voting and zapping needs to be clarified, lots of way to game the system. Seen that already on nostr with polls and zap polls.

Software that monitors sensors and controls things like lights and fans.

Good luck. I'm going nerdy with a grow tent and home assistant automation 😂

I can't quite read the instructions on the packets, but it would be interesting to compare them to Norman C. Deno's research: https://www.gardenmyths.com/seed-germination-dr-deno/

It's the most popular language on the TIOBE chart, probably due to being the dominant language in machine learning: https://www.tiobe.com/tiobe-index/

I really enjoy Python, just be prepared for the occasional headache managing dependencies. I think uv is what the cool kids use now.

I've only looked at one sample of worm castings. It was full of bacteria, plenty of flagellates and not much else. I don't think it was very representative though. It should be easier to compare multiple samples from different sources at the same time to see how the differ.

In general, when I look at a sample I care first about the amount and diversity of life in terms of functional groups: bacteria, fungi, protozoa and nematodes. Aside from that I'm looking for the fulvic/humic acids and whatever else makes up the sample like organic matter and sand/silt/clay.

Huh, Bill Clinton in 1995: "Through our efforts, we have already cut the [federal] work force by 102,000 positions and we are on track to cut it by a total of 272,900 positions, bringing it to its smallest size since John Kennedy was President."

https://www.presidency.ucsb.edu/documents/statement-the-buyout-program-for-federal-employees

They way you explain this stuff makes me want to have nothing to do with you.

I've only tasted them once, years ago. I thought they were good and interesting, but that's all I remember. Looks like Burnt Ridge Nursery has two varieties.

I raise my piles to keep the bottom from getting soggy. The surface area of the bottom is small compared to the rest of it, so I doubt it would make much difference.

This time of year the low ambient temperature is the biggest challenge. The material is going to be cold so the microbes won't be very active, so they won't produce much heat and it never really gets going.

A bigger pile should help because there's more insulation for the center. And it will probably need more nitrogen. I've had good results with a seed meal like cottonseed meal or some cheap cat food sprinkled in between layers every few inches. About 1-2 handfuls each layer depending on how much help I think it needs.

Yeah, I read the article already. I guess I'm just stupid because I don't understand.

Can you provide any practical examples of what this might be used for?

I just finished watching this and can highly recommend it to anyone that wants to understand what "AI" is, how it's made, the strengths and weaknesses, and more.

https://www.youtube.com/watch?v=7xTGNNLPyMI

I have a much better understanding now of pre-training, post-training (supervised fine tuning), reinforcement learning, tokenization, and reasoning models. I learned a few tricks too, like how to have AI use tools to get better results.

This technology is extremely important, like Bitcoin, and the better you understand it the more you'll be able to benefit from it.