Masahiro Suzuki

Frozen 4B image generators can outperform proprietary models at multi-subject composition simply by letting an autonomous coding agent iteratively rewrite their Python orchestration harnesses.

Steering latent dynamics with readout feedback can unlock performance improvements in recurrent models that traditional inference methods fail to achieve.

CoT prompting enhances VLM performance not by prolonging image access, but by extending the use of language-derived insights from earlier visual processing.