Don't know how I missed this for 4 years, but looks like Tangela Tricoli's stinky poodle has been remastered. Nominating Jet Lady as the official Nostr LP.

how does this compare? cafe-society.news 30 day daily visitor metrics: Mean 58.4 Median 55.5 Mode 57 Range 120 Minimum 31 Maximum 151 Count n 30 Sum 1752 Quartiles: Q1 --> 45 Q2 --> 55.5 Q3 --> 65 Interquartile Range IQR 20 Outliers 151

cafe-society.news interesting new idea default "section recipe":

daily news

Consists of njump.me rss/nostr feeds combined, then trained to sort by "dev/not dev" content. You might have to clear your cache or grab it from a private session window.

read the newspaper every day:

daily news

cafe-society.news now works with njump.me. With this improvement, nostriches can now consume individual or groupwise nostr feeds in order to train ML models.

3 minutes - create SEO metatags from rss feeds and chatGPT (or llama, etc).

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

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.

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?

daily news

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:

daily news

blocked keys here:

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scored, filtered feed is here:

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You can train your own.

Today I'm using cafe-society.news/nostrposts to downvote and suppress the surge of trump/carlson articles. Not something I want the relay to do.

I added trained model to

daily news

to suppress bitcoin shilling, purple pilling, and naughty parts in the global channel. (Let that sink in please) More training required, but really good start on self-sovereign content filtering. If you prefer more naughty, just clear out the setting and retrain. Next step is to fix whatever is wrong on ios and way more polish.