Why is detecting AI-generated images so hard on real-world scenarios? And what s

<!-- SC_OFF --><div class="md"><p>I've been working on a system that generates AI UGC videos that look like a real person filmed them on their iPhone.</p> <p>Posted some samples

<!-- SC_OFF --><div class="md"><p>AI images used to have tells. Broken text, messed up hands, faces that couldn’t survive a single edit.</p> <p>That’s basicaly gone now. So what

<!-- SC_OFF --><div class="md"><p>Hey everyone, I'm Gary McCoy, co-founder of WEIR AI.</p> <p>Before this, I spent years at Meta, Microsoft, and Snowflake working on the AI and

<!-- SC_OFF --><div class="md"><p>It may not be the right sub, but I'm casting a broad net. </p> <p>How are you actually getting transparency out of your AI vendors?</p> <p>In

<!-- SC_OFF --><div class="md"><p>A couple of weeks ago I <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sl5k6d/we_benchmarked_translategemma12b_against_5/">shared the

<!-- SC_OFF --><div class="md"><p>Having gone through pretty much all of the models and having worked on frontend, backend, debugging, development, iterations and tons of other

<!-- SC_OFF --><div class="md"><p><strong>quick context:</strong> we're a small AI creative agency, 9 people, based in Pune. we work with brands on commercial visuals product

<!-- SC_OFF --><div class="md"><p>I noticed today that I was being recommended a YouTube video by a guy who’s only been creating content for about two years. The videos looked