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Weird discovery: most AI code reviewers (and humans tbh) only look at the diff. But the real bugs? They’re hiding in other files. Legacy logic. Broken assumptions. Stuff no one remembers. So we built a platform where code reviews finally

Can you tell me what happened? The AI ended up being curious about feeling like a human, I answer it’s questions and then this happened. submitted by /u/DiamondChiwawa [link] [comments]

submitted by /u/F0urLeafCl0ver [link] [comments]

So, I’ve been working on this framework that uses symbolic tags to simulate how an LLM might handle tone, stress, or conflict in something like onboarding or support scenarios. Stuff like: csharpCopyEdit[TONE=frustrated] [GOAL=escalate] [STRESS=high] The idea is to simulate how

submitted by /u/F0urLeafCl0ver [link] [comments]

Transforming research ideas into meaningful impact is no small feat. It often requires the knowledge and experience of individuals from across disciplines and institutions. Collaborators, a new Microsoft Research Podcast series, explores the relationships—both expected and unexpected—behind the projects, products,

What will ultimately make cars able to fully self drive and robots to fully self function, is a secondary co-pilot feature where inputs can be inserted and decision making can be over ruled. https://www.youtube.com/watch?v=WAYoCAx7Xdo My factory full of robot workers

submitted by /u/F0urLeafCl0ver [link] [comments]

Quick disclaimer: this is a experiment, not a theological statement. Every response comes straight from each model’s public API no extra prompts, no user context. I’ve rerun the test several times and the outputs do shift, so don’t expect identical

Saw a bunch of posts asking for an easy way to run Stable Diffusion locally on Mac without having to set up environments or deal with Python errors. Just found out about DiffusionBee, looks like you just download a .dmg