Two major events happened recently: the release of Deepseek V4 and the release of GPT 5.5. I'm also waiting for the study committee's notes.
But honestly, there's not much to say. By now, intelligence is no longer an issue for LLMs, and various benchmark tests are just hype. The real bottleneck lies in agentic capabilities. Based on current information, both new models have put significant effort into this area. GPT 5.5, undoubtedly paired with Codex, is aiming to push for a general-purpose agent. This wave of capability release is late but better than never.
Instead, Deepseek V4 deserves more attention, as it challenges Silicon Valley's dominance in the AI field, from hardware to ecosystem.
Sounds grand, doesn't it? But even if you don't pay attention for a year or two, it doesn't matter. The tech industry never lacks new buzzwords and technologies. Good products won't impose extra learning costs on users; in fact, truly great products never make demands on users. So even if AI truly takes off, you won't feel much disruption.
Besides, the only area where AI has truly been implemented so far is information retrieval.
Wait for the study committee's notes, wait for real user experiences, and try it out yourself. If it helps you, that's great; if not, it means the product isn't ready yet, or the technology hasn't matured. For things like LLM AI, data isn't really meaningful—your own experience is what matters.
Most technologies don't solve real-world problems; they solve productivity problems. The quality of life depends partly on mindset and partly on other things that are inconvenient to discuss.
Take it easy. Everything will be fine.