2,584 results for thought · 2.443s

News for “thought”
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Moozonian News
bing.com• Sep 25, 2025• 1 min read
Why Editorial Thinking Is Critical For B2B Thought LeadershipNow that knowledge-based organizations have to behave like media companies to be heard, “thought leadership” has become a crowded, noisy space. Everyone has a blog. Everyone has a LinkedIn strategy.
Moozonian News
pennyforyourthoughts.ai• Aug 28, 2025• 1 min read
Show HN: Penny for Your ThoughtsHey everyone want to show off a demo we've been working on for a while that makes use of our memory and reasoning engine https://honcho.devGet interviewed by an AI agent that helps you generate unique information that other users (or agents!) can then pay to ask questions about.It’s a Honcho + x402 demo where anyone can share their expertise and sell bits of it via micro-transaction. You can actually get paid for the valuable context in your head!Read more about the story at: https://blog.plasticlabs.ai/blog/Penny-for-Your-Thoughts
Moozonian News
news.ycombinator.com• Aug 17, 2025• 1 min read
My First $500 MRR – My thoughts and learningsI will keep this as straight to the point and no BS as possible.This is the 6th Project I build, the first one to have meaningful revenue, however you could consider 500€MRR as little revenue, but for me it's great progress. I'm not here to say that this is a lot, just here to share my thoughts on how I got here and what I learned. I know I still have a lot to learn.1st: FitMe - 30 Users, 0$, Failure (Built for 6 months, launched, 0 user feedback, was so tired and sick of it, extremely technically challenge. I built something that was "cool" not that I wanted) 2nd: Pickpocket Alert - 0$, Failure. 32,000 users. (Didn't know how to monetize.) 3rd: Nationality Guesser - 9€MRR, Failure. 22,000 users. (terrible pricing, feel kind of guilty the app is a bit racist so I stopped.) 4th: Ultra Mega Chad (AI Aggregator) - 0$, Failure. 50 users. To be fair I just wanted to learn how LLM api's/prompting work, i think this has potential and have seen competitors rise. 5h: Feasty AI - 0$, Failure 0 u
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Moozonian News
news.ycombinator.com• Nov 25, 2024• 1 min read
What to think of the Paperclip Maximizer thought experiment 21 years later?I often stumble across YouTube videos or blog posts that talks about the "paperclip-maximizer" thought experiment by Nick Bostrom [1, 2]. Basically, it’s the idea of a superintelligent AI tasked with creating paperclips, which ends up turning the entire universe into paperclips and wiping out humanity in the process. It’s often used to explain how AI could be a threat to humanity, based on the idea that “AIs are goal maximizers” and that hardcoding human values into an AI is really difficult. The concern is that the AI might optimize its goal in a way that’s dangerous for humans in ways we didn’t foresee.This thought experiment felt relevant back when Reinforcement Learning (RL) was seen as the most promising path toward building more powerful AIs. In that paradigm, we could often see RL agents hack their reward functions. For example, if you told an agent to "maximize velocity," it might find some unintended and weird way to do it that we didn’t predict. [3]But now, with LLMs, I feel