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.
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.
like this right? https://cafe-society.news/nostrposts
You can engage with whomever you want. I will just point out that you are arguing for more french fries or "...cheese or something". You are approaching a certain age where you should be happily paying a fortune for smaller higher quality portion sizes.
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.
I wrote a tool to train your own filter against the global nostr feed. More signal less noise from the main vein. https://cafe-society.news/nostrposts. The default is my own personal preference for breaking news, less bitcoin. You can delete the default and start training your own filter - all client side training and prediction.
"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
https://cafe-society.news/nostrposts supports private mute list. read only. still pretty buggy work in progress
nostrposts, not nostrfeed - sorry
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.
- start with global nostr feed.
- add a button to block addresses
- add ML buttons to train ML
- train ML with a few thousand posts
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.
I run cafe-society.news - a site that aggregates user configured rss feeds with the nostr global channel. Filtered by client side machine learning training and prediction. I'm looking for ideas how to connect the reader to the author and other readers financially.