sfbay.craigslist.org/eby/ele/d/emeryville-lamassu-bitcoin-vending/7725955165.html

After cafe-society.news gets nostr-crdt plumbing set up for sharing ml models, it will move on to making predictions with some sort of homomorphic encryption capable approach. ML trainer users will not need to publish their model to make money, and prediction users will not need to share their raw data to get predictions. nucypher and zama use Ethereum (I don't know if that means they work on rootstock.) I'm just some dude, but I'd like to see something compatible with lightning payments, which I'm pretty sure an ethereum contract is not. I'd love some comments pls. https://www.coindesk.com/business/2024/03/07/cryptography-firm-zama-raises-73m-for-fully-homomorphic-encryption-apps/?utm_medium=referral&utm_source=rss&utm_campaign=headlines

What: y-nostr - prospectus Why: yjs is garnering 500k per week downloads at npmjs. y-nostr will provide a convenient way for developers to add nostr infrastructure to a familiar interface. The resulting adoption of nostr will be astounding. Who: Cole Albon with help from existing work -

GitHub

GitHub - YousefED/nostr-crdt: Use nostr for collaborative, decentralized, local-first applications with the Nostr-CRDT Yjs provider.

Use nostr for collaborative, decentralized, local-first applications with the Nostr-CRDT Yjs provider. - YousefED/nostr-crdt

- https://www.npmjs.com/package/yjs - y-indexeddb - y-websocket - y-webrtc - y-nostr <— this project coming soon, needs funding: How: The existing nostr-crdt has the functionality, but is broken since a recent upgrade of nostr-tools. - modify the code in nostr-crdt to work with current nostr-tools and repackage as y-nostr. - swap out nostr-tools for NDK. NDK comes with a best in class approach to security, and we think NDK is probably up to the task. Developer Background: - 1999 - modified the Melissa virus to become one of the first commercial email marketing engines. - 2000 - as a sales dude, wrote a vt-100 terminal scraper to harvest the Insight Corporation open/orphan orders. Successfully traded resulting lead lists colleagues for favors and food. - 2013 - launched ripple-bandit.com the worlds first dice address on the ripple payment platform. - 2016 - created blocktool, a tool to denormalize utxo transactions to a corporate analytics friendly format. - 2019 - partnered with some dude from Nike - 2nd place in the Portland Blockstack hackathon - dice address for stacks this time. - 2023 - launched git-nostr a pure shell script program to replace git-ssb (secure scuttlebutt) - allows hosting cryptography projects in the EU. - 2024 - flat broke, need work soon. Please send money or direct me to an appropriate grant application. - cole@getalby.com

I vaguely recall the W administration talking heads saying "don't change presidents in the middle of a war!" Willing to wager we hear that old saw soon.

Don't waste your vote in 2024

2 minute video: local model ML assisted job search with cafe-society.news. avoid duplicate posts and sort by trained, self hosted ML model

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