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Harebone
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Open Mind 🤯 Open Source ā„¹ļø Bitcoin šŸŒ™šŸ”ļøā˜€ļø Works at removing matter from opposing sides producing infinite edge
Replying to Avatar rabble

HI've noticed on Threads, Bluesky, and even some apps here on Nostr that I’m shown a lot more content from people I’m not following. This is often due to reposts, quote posts, or just the algorithms at work. While this content can be engaging and spark conversations, it’s often not healthy.

I see people posting obviously or maybe obliviously wrong things, which then get corrected and boosted, creating a vicious cycle. For example, someone mentioned considering a hyphenated name for their kids. I shared how my hyphenated name caused issues with computers, especially with international travel. This led to many calling me a bigot because the original poster was a queer woman. It’s odd because I’m queer myself, but it seems they felt an amab queer shouldn’t share personal experiences directly related to the topic.

I also saw clickbait articles about triathletes vomiting at the end of an Olympic triathlon, blaming it on a polluted river. Yes, the river is polluted, but triathletes often throw up at the end of races, and the swim was two hours before the nausea hit.

These issues occurred on Twitter too, but I didn’t experience it the same way there. I used Twitter daily from the moment Jack invited me and our coworkers onto the service, and for me, the conversations were healthier. I understand that many others had negative experiences, though.

On Nostr, I see zaps often rewarding hot takes and posts that signal membership in one group or another. This seems to exacerbate the issue, as people are incentivized to make posts that cater to specific in-groups rather than fostering genuine dialogue.

My worry is that maybe we’re actually doing worse with the new platforms. Is this something other people are seeing? How do we navigate this and foster healthier online conversations?

Let it go. Nothing to worry about ā¤ļø

Steak sandwich’s or hot pot

Yes . We’re sure. It’s possible the thought was pre formulated to us through the web. Before we even knew or had it. Possibly AI could triangulate it before we had it. Or the internet created and then we had it. AI possibly could recognize it better then our brains could. It knew the thought was coming before we did or had it. Make any sense. With the data I believe it’s possible

Replying to Avatar Brad Mills

#ChatBTC LLM twitter tool šŸ’”

In the world of Bitcoin, it's not uncommon to come across different communities that have complaints adjacent to Bitcoin. As a Bitcoin evangelist, it can be frustrating to not have the time and patience to engage in deep conversations with individuals who have concerns or questions about Bitcoin, CBDCs, UBI, capitalism, and inflation.

However, what if there was a way to enable an AI version of ourselves to engage in thoughtful conversations with these individuals? That's where the Bitcoin LLM social media posting bot comes in. The idea is to build a tool that would allow us to use bots that emulate our personalities and engage in conversations with Twitter nocoiners.

These bots could be new accounts, or connected to existing Twitter accounts and engage in long, thoughtful conversations with individuals who have concerns or questions about Bitcoin or bitcoin adjacent topics. The bots could use random time intervals between replies, come back to the conversation a day or two later, quote-tweet to start new conversations, and refer people to YouTube videos or other blog posts with time stamps and quotes from other Bitcoiners - all to make it harder for the left and middle curvers to tell they’re engaging with a bot.

One of the significant advantages of this tool is that it would enable us to engage more actively in conversations that frustrate us with people who are thick-headed and stuck in their ways. It could also help increase financial literacy around Bitcoin, the economy, and the problems with wealth inequality, banking and money.

The tool would be most useful for orange pilling individuals who are already the most active 2% in a group, who are fertile soil form planting bitcoin seeds.

The tool could help engage individuals wh but have some sort of hang-up where they think Bitcoin is a digital currency in the same vein as CBDCs, and therefore, it is bad. By engaging in long conversations with these individuals, we can help them understand the benefits of Bitcoin and increase their financial literacy.

To achieve this, we can use social graph analytics platforms hive.one and Social Forensics.

These platforms would help us find Bitcoiners who are like us and train the bot on that group of people to create avatars.

With this, we can create different personalities that would engage in conversations with individuals who have questions or concerns about Bitcoin.

In conclusion, the Bitcoin LLM bot is an innovative solution that would help increase financial literacy and engage in thoughtful conversations with individuals who have concerns or questions about Bitcoin. By enabling an AI version of ourselves to engage in these conversations, we can help individuals understand the benefits of Bitcoin and increase their financial literacy.

This was written by your chatgpt bot šŸ˜‚