OpenAI’s Sora 2 arrives as a “GPT-3.5 moment” for video, featuring native audio sync, upgraded physics, and a TikTok-style feed. It’s a huge leap forward, though strict censorship and inconsistent video quality still raise many concerns among users.
Kling O1 has impressive demos, but its actual performance might not live up to the hype.
In this blog, we will review and evaluate the feautres of Kling 2.6 Review
Deep diving into Google AI's Veo 3 model: cinematic visuals, native audio, and the real costs of production.
Complete guide to AI video failure modes: identity drift, quality degradation, motion incoherence. Learn why AI videos break down and how to diagnose issues.
Discover why AI-generated videos look convincing but feel subtly unnatural. Learn about identity drift, motion incoherence, and expression artifacts affecting video realism.
Learn why AI-generated characters change across images and videos. Understand identity drift, attribute drift, and style inconsistency affecting character consistency.
Discover why AI video generation breaks down in longer videos. Learn about identity drift, quality degradation, and motion issues that affect long-form AI video.
Why controlled AI video motion looks robotic and realistic motion is unpredictable. Understand the trade-off between motion realism and control in AI video generation.
Why AI content moderation feels overly strict. Learn about the trade-off between safety and usability in AI content moderation systems and why false positives occur.
Understand why AI image generators struggle with consistency. Learn how creative freedom and image consistency compete in AI image generation systems.
Understand the fundamental trade-off between quality and stability in AI generation: sharp detail vs smoothness, expressive motion vs consistency, and visual richness vs reproducibility.