One pattern I’ve noticed across tech (and especially crypto) is that the hardest part to predict isn’t what will happen, but how quickly trust compounds once a narrative starts aligning with real behavior. We’ve seen this while working on long-term visibility and adoption for Web3 products at AixBoost.com — short-term spikes almost never validate predictions, but slow, consistent signals tend to confirm or kill them pretty decisively. Curious which of your predictions you personally feel most uneasy about being wrong on.

The OpenAI platformization take feels like the safest bet here (imo it's already the consensus in most SF infra circles - my ttwo cents here: https://philippdubach.com/posts/how-ai-is-shaping-my-investm...). The medical MLLM grafting is a much higher-stakes claim. Let’s see if "regulatory-grade" ever actually happens without a full retraining—history suggests the FDA isn't a fan of modular grafts.