Its a new day #SovEng #Madeira

Ya. There's other ways to obfuscate your Bitcoin. I'm sorry but it seems unnecessary to me.

Two double espressos paid for in #bitcoin 🤌

So happy to be in Madeira 🧡

It could backfire, but I feel like ecash / cashu / nuts / whatever you want to call it is an amazing way to market nostr.

A while back Cash App grew insanely fast on Twitter by having massive giveaways to people participating in their tweets. I feel this could also be done with nuts. In theory, you could hold contests where people join and get some nuts by participating in retweets etc... and by signaling they are part of the contest. Then, some generous Nutters could dispense a few nuts to all, or a giant GRAND Nut to a lucky one or few.. or a combination of both. It could be a great way to get the word out about Nostr and what it's capable of.

of course, this would require in-client nut wallets and a UX / terminology that makes it easy to understand (or not have to understand at all)

Sorry I had to go afk. I’ll dispense some more nuts. Make sure to claim them at npub.cash

Nostr - the more I randomly explore its universe, the more I’m discovering that the people here are equal amounts of outright crazy, sane, wild, hilarious, normie and utterly fascinating.

No different from real world encounters. Keep it up.

One of the reasons I prefer to write code for computer programs rather than interacting with people is because computer programs have deterministic outputs. A person can say "yes" to something you need them to do but then do something completely different because they believe that is the right thing to do. Or they may fabricate some facts to convince themselves that is the right thing to do. You need to pick up on subtle signals to determine if they are going to do what you expect or if they are going to do something different. With computer programs, the output is always binary. Either it works or it fails. When it works, I understand why it worked, and when it fails, I can figure out why and fix it. However, this logic does not apply when it comes to pretraining and fine-tuning large language models (LLMs).

We saw this week with Google's Gemini. LLMs are first trained using the available public and private datasets from the internet. The first step is to use raw, unfiltered datasets that go into these models. More data is better than good data. If you equate pretraining LLMs to manufacturing a large piece of equipment, the raw materials often go through multiple layers of preprocessing before the material gets refined. However, imagine if the manufacturer decided it was not worth refining the raw materials, so they fed all the crap and junk into the manufacturing process. While the pretrained output from an LLM is a reflection of the data fed into it during pretraining, if you don't like the output, you can't really blame the model.

For example, in the case of Gemini, Google most likely did not anticipate or intend the historical-figures-who-should-reasonably-be-white result. So they injected their own version to mellow it down. Now the model took that input literally and started to apply it on its own.

The important thing is how one of the largest and most capable AI organizations in the world tried to instruct its LLM to do something, and got a totally bonkers result they couldn't anticipate. This event is significant because it is a major demonstration of someone giving a LLM a set of instructions, and the results being totally not at all what they predicted.

**As Emad Mostaque from Stability AI puts it, "Not your models, not your mind."**

While, Google and OpenAI are advocating politicians to make some regulations to stop the "bad" actors, they very well know it is to protect themselves than anything else.

I would clearly stay away from using Google Gemini or any closed source large language models from big companies and start to look at open source models, set up your own infrastructure for fine-tuning and inference. It is better to put efforts around building our own predictable open source Large languages model (LLMs) as a community and contribute to building our society rather than trusting these idiots.

What are your thoughts? Happy Friday and welcome to another crazy week in AI...!

Hitting 10k daily steps is a piece of cake in Europe.

Hey Derek!

I created a patreon a couple weeks ago for my channel. I’ll still need that as some of my audience is new to bitcoin/nostr…

But I’d love to give this a spin whenever it’s ready to go

i think damus is the only nostr client i like

EVERYONE HAS DONE AWAY WITH A GLOBAL FEED IN CHRONOLOGICAL ORDER?

i am aware i am sitting in a sandbox

Got some 'orange pill picks' made up for Bitcoin Atlantis. These turned out pretty well 🤠

Bitcoin Is The New Rock and Roll 🤘