And pairs very well with open/auditable pretrain.
Super Dario (@inductionheads)
This might be a good time to point out that getting continual learning to work is verifiable
— https://nitter.net/inductionheads/status/2083714982160523460#m
Super Dario (@inductionheads) tweeted on 2026-08-02 that continual learning can…
Brief
Super Dario (@inductionheads) argued on 2026-08-02 that making continual learning systems verifiable is feasible and timely. He further noted that such verifiable continual learning aligns naturally with open, auditable pretraining pipelines, suggesting a combined approach to improve transparency and trustworthiness in model updates.
Why it matters
Super Dario (@inductionheads) tweeted on 2026-08-02 that continual learning can be made verifiable, asserting “getting continual learning to work is verifiable.”
Key details
- He stated this capability "pairs very well with open/auditable pretrain," implying verifiable continual learning complements transparent, auditable pretraining processes.