Back

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

“Don’t be a slave to stupid rules.” 1. We're easier to control with more stupid rules 2. Most rules are useless because there’s always people that can get around them Instead, challenge the rules. - Jordan Peterson

A Question to ChatGPT & Grok. Should users get paid for the user data that is used to train them?

Traditional Layer 1 blockchains struggle with storing real-world files on-chain storage is often costly, slow, and limited in capacity. Most weren't built for dynamic content at scale. Xenea changes that. By integrating a Layer 1 blockchain with dec

Have you wondered how much late can a train be? well this event happened in India where a goods train carrying fertilizers was scheduled to reach its destination in about 48 hours Instead the train took approx 4 years to reach it's destination, yes

with the current Indian stock market scenario coming down 7%, what are you gonna do

Breaking News: My AI just fired me. Apparently, I wasn’t “data-driven” enough, didn’t “scale,” and failed to “synergize with the cloud.” Meanwhile, it’s holding meetings with itself, automating my calendar, and pitching VCs on a startup called “Hum

What If You Got Paid for Your Data? Every day, we generate data—what we browse, buy, and watch. Companies sell this data for billions, but we get nothing. What if you owned your data and got paid when businesses used it? The Idea: A Data Marketpla

#36 REAL TALK: Why are you using ChatGPT instead of Google? What's the FUNDAMENTAL reason you want AI to give you straight answers? Drop your honest reason below 👇 #Started #AI #Search #UserBehavior #Technology #Productivity