https://roguelite-mmo.com/ So I created the game very quickly for how much content it has. Fortunately it is slowly growing and the community members that do stay longer than the first 5 minutes have enjoyed it, some of the top members play multiple hours a day which is great! However there are plenty that I see hit the site and almost immediately move on before even really interacting with any of the game loops. They dont all leave feedback but the ones that do generally give the quick 'ai...
We posted here last week about infrastructure walls that show up when AI moves from personal use to team use. We had a few people described walls we hadn't named, which is more useful than the confirmations. Following up to collect more of those. If you've hit something that isn't on the list, or one of the six that looked different in your context, drop it here. What were you building and where did it break? The six walls for reference: Identity (who the AI is when it talks to your team), D...
I’ve been thinking about a support automation story I read recently. A team replaced a simple rules engine with an LLM classifier. The model was around 92% accurate. Sounds good. Until you realize that at 100 tickets a day, that’s roughly 8 mistakes every day. The interesting part wasn’t the accuracy though. It was what happened when the model was wrong. Nobody could explain why a ticket was classified a certain way. Nobody could point to a specific rule. Nobody could quickly fix the behavior...
Disclosure upfront: I'm the founder of an AI-visibility company, so this research scratches our own itch. Our domain was excluded from all counts before analysis. Not linking anything in the post. We wanted to answer a simple question: when an AI assistant shows you "sources," what is that, technically? So we opened devtools on the web clients of ChatGPT, Gemini, and DeepSeek, and ran the same 4 queries 10 times through each system. What we found: ChatGPT streams the answer ove...
Everyone talks about reasoning, agents, and larger models. But the more I learn about AI systems, the more I think we're missing something fundamental: AI doesn't accumulate experience the way humans do. A senior engineer isn't valuable only because of raw intelligence. They're valuable because years of experience have shaped how they think. They're valuable because they've spent years building mental models, learning from failures, recognizing patterns, updating beliefs, and connecting ...
It feels like just a couple of years ago, using AI for everyday tasks still felt like something new or even a bit weird. Now it seems like a lot of people are using it without thinking twice, whether for writing, learning, brainstorming, or just quick answers. I’m curious how others see this shift. Do you think AI has become normalized quicker than most people predicted, or does it still feel like a big deal to a lot of users? [link] ...
Starting this week, my ChatGPT Pro no longer displays the "thinking process"; it only lists the web pages it has searched. Is this some new anti-distillation strategy, or is computing power being diverted in preparation for the launch of a new model (such as GPT-5.6 or—more optimistically—GPT-6)? https://preview.redd.it/rxjpt5nb0n6h1.png?width=798&format=png&auto=webp&s=5baafd2b197c068f5b0bbec0381d1234b97f80e8 [link...