 | This might look like a shitpost but beyond the meme lies the truth. Pay attention to my point: every new AI feature announcement now follows the exact same script: Week one: is pure exuberance (VEO 3 generating two elderly men speaking in Portuguese at the top of Everest, nano banana editing images so convincingly that ppl talk about photoshop's death, GPT-5.4 picking up on subtle context. Then week two hits. The model starts answering nonsense stuffed with em dashes, videos turn into surrealist art that ignores the prompt, etc. The companies don't announce anything about degradation, errors, etc. they don't have to. They simply announce more features (music maker?) feed the hype, and the cycle resets with a new week of exuberance. [link] [comments] |
The AI releases hype cycle in a nutshell
Reddit r/LocalLLaMA / 3/28/2026
💬 OpinionSignals & Early TrendsIdeas & Deep Analysis
Key Points
- The article argues that AI product releases increasingly follow a predictable “hype cycle,” with the first week emphasizing exuberant breakthroughs and impressive demos.
- It claims that problems often emerge in the second week—such as nonsensical outputs, prompt ignoring, or degraded/video-model behavior—while companies avoid highlighting degradation explicitly.
- The piece suggests that companies keep momentum by announcing additional features instead of addressing reliability issues, effectively restarting the cycle.
- Overall, it frames the pattern as a systemic communication and expectation-management strategy rather than isolated model failures.
