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Last year at @tryramp I laid out three predictions for how language models would evolve. I was trying to clarify which bets might actually be durable over time.
A lot of it is now starting to take shape.
Here’s an update. Thread 👇
- honestly text is just the wrong input for fine grained control of video generation, the sooner the video model providers adopt a more UX driven approach to deciding how to train the model the betterSeedance 2.5 is finally available in the US, but something feels off. I'm running comparisons to 2.0 and 2.5 is performing worse in most of my tests so far. Same start frames, references, and prompts. Multiple runs of each. 2.5's motion coherence, prompt adherence, visual
- i miss anandtech
- If you ask a frontier LLM a multi-hop reasoning question, e.g., "Who won the Nobel Prize for Chemistry in (1900 + Mozart's age when he died)?", it usually can't answer correctly immediately (no thinking) BUT if you ask the same question & append 300 dots, suddenly it can answer?
