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Cole Albon
c3ff9a851ca965ed266ba54c9263f680be91e2465628c64bab6a5992521d5c5d

3 minutes - create SEO metatags from rss feeds and chatGPT (or llama, etc). https://www.youtube.com/watch?v=RLN72EwRm6Q

Until everyone moves to Nostr, X/Twitter should identify censored content with actual blacked out content in tweets labeled with who requested the censorship.

Replying to Avatar PABLOF7z

A few days ago I had lunch with nostr:npub1dergggklka99wwrs92yz8wdjs952h2ux2ha2ed598ngwu9w7a6fsh9xzpc and he told me about this awesome idea:

> A relay that rejects long notes.

This morning I woke up thinking about it.

And now it's live.

wss://140.f7z.io

140-character limit. With a pretty strict moderation, so spam should be basically non-existent.

It's also sucking short notes from other relays, so it's global should be pretty useful.

Check it out!

PS: No coincides; I saw this nostr:npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6 note just now 😂

@note10nvzcqzst4c5yee279u2j5qpzzkffhwxn5qf5t7jxqfx53h6agdqte34ay

I made wss://140.f7z.io the default relay for cafe-society.news nostr global page. https://github.com/colealbon/cafe-society.news/commit/5900de7490997f4ba5e519a3b8a43a4981a6f5fb

I'll likely be using nostrdb for storing a ~1 megabyte machine learning model so people can share their preferences real time. It would be a long anticipated long delayed conversion from blockstack/stacks. I've already spiked on yjs (I think I got yjs from the nostrdb code) Any objections?

I assume the criminals you refer to are the government agencies collecting the fines because "money laundering". Do you know if the fine money comes out of customer funds?

I was on the marketing team at GoDaddy during the SaveToby controversy and the banned Superbowl ad controversy. Both stunts landed a phenomenal amount of free press and subsequent traffic. I was on the Sigaba sales team when they rented 6 heavily decaled humvees to escort journalists around Las Vegas during Comdex. As a salesperson and aspiring software engineer, I converted the melissa virus into an email guesser to bump my sales leads, making me one of the first to transition from fax spam to email spam. Prior to the Mt Gox collapse, I commandeered the "payments" weekly developer meetup in San Francisco to steer developers (and MicroStrategy consultants) to the bitcoin meetup. I got personal training from Regina Brady who's favorite direct marketing ad campaign was an apology letter for an event that never actually happened.

In short, I've watched teriffic guerilla marketers apply their trade and I've done a bit myself.

I see guerilla marketing written all over the Sam Altman business.

P.S. I'm looking for javascript work and might be guerilla marketing to you now.

Head of some of the biggest AI projects on earth, Andrew Ng, says more than once in this interview that he expects AI processing to move towards the edge (on laptops). I agree, ChatGPT is doing it wrong (my words not his). If you try to anticipate every single question from every single user on earth with one huge 8 figure training session then you have to bombard the press and congress with advertising just to break even. Great for transferring investor money to advertisers like Alphabet, and MSN, but otherwise huge waste of electricity. https://www.youtube.com/watch?v=KDBq0GqKpqA&list=TLPQMDUxMTIwMjONZgcGdpBDgw&index=1

Journalists and whistleblowers are too eager to self censor when it comes to exposing names and actions taken by the people who are members of organizations. Organizations are immune to accountability and punishment. People are not. It is changing though, when Russel Brand was cancelled, some journalists were quick to publish Dame Caroline Dinenage's name, her husband's political connections, and letter she wrote. As a news consumer, I can't do much, but I can at least seek out and click more on journalists who write about people instead of vague institutions.

"spam and impersonation is increasing on nostr recently… " - not in my hizzy. I trained against 4000 nostr posts to suppress bitcoin price articles, zapathons, spanish poetry, vulgar language and whetever else. https://cafe-society.news/nostrposts. Not good yet, but much better than IRL. Here is the winknlp compatible model if you're curious. https://github.com/colealbon/squelch/blob/50772762d7ed6b7c4f920903b243083972e069c2/src/defaultClassifiers.ts#L38

yes! cafe-society.news/nostrfeed considers a post read if it is an 80% string similarity score.

I am trying to filter global feed with machine learning, specifically wink NLP bayes filter. My problem is that big long posts score better than short posts. Anyone know how to solve that problem? Suggested books or articles? https://cafe-society.news/nostrposts.

I've been blocking nostr keys and training a wink nlp model to filter out bitcoin shilling and other noise in the global feed. The model is here: https://cafe-society.news/classifiers/raw blocked keys here: https://cafe-society.news/nostrkeys/raw scored, filtered feed is here: https://cafe-society.news/nostrposts. You can train your own.