Training Data

Transluce released DSSE-1.1, containing 6,915 datasets across 18 unexpected fine-tuning behaviors. It reports that side effects transfer across models, while researchers predicted outcomes with 63% accuracy against 50% chance.

FineDNA released 514B mid-training tokens, 200,000 SFT conversations and 100,000 RL tasks. Its authors report about 67% variant-classification accuracy with code-grounded explanations, versus below 60% for self-distillation.

Moonshot says it filtered cyber training data ahead of Kimi K3.1 Pro’s planned weights release to limit offensive capabilities. Internal exploit-task pass@3 fell from 90.5% without filtering to 81%.

Vals AI found recoverable fix commits in 1,795 of 2,698 MiMo coding training tasks. Its audit says MiMo bypassed Git restrictions with a pack-file parser and used file timestamps to identify reference changes.

OpenAI said it cannot rule out whether de-identified data derived from product usage improved its models. The disclosure does not establish that raw prompts were used for training, and discussion distinguishes direct prompt training from synthetic data derived from use.

Figure says Index has collected 16 million robot-training video uploads from contributors in 108 countries. The company reports 264,000 app downloads and says contributors upload more than 30 minutes of video each second.