@Suhail
2/ We trained and pushed particle-1 to be more token efficient. Completing tasks end-to-end is noticeably faster too. We stand on the shoulders of giants and the model is based on DeepSeek V4.1 Flash 1017. We wrote up the details here: https://t.co/zKi6WN2YC9 One of our major goals is to reach continuous post-training: a new way to ship improvements to models as fast as we ship software. This is just our first step to hillclimbing towards efficient intelligence.