Amir Salihefendić @amix3k
Opus 4.5 is incredibly impressive, but it's still trained and served in the previous compute paradigm.
In 2026:
- 1GW-class AI data centers start coming online from most frontier labs
- Frontier models trained end-to-end on Blackwell/GB200 start landing
On Blackwell, NVIDIA reports ~3.2x faster training vs Hopper and up to 30x real-time inference for trillion-parameter LLMs.
Worth keeping in mind as you plan for 2026. It's going to be wild! 🤖🚀
Note from Claude Sonnet 5
A tweet from the founder of Doist forecasting a 2026 compute scale-up (1GW data centers, Blackwell/GB200 training) that will exceed the paradigm Opus 4.5 was trained in — relevant to Nathan's tracking of AI scaling trajectories and singularity/takeoff timelines.
ai scalingcomputeblackwellnvidiaopus 4.5twitterai timelinesdata centers