Martin Ziqiao Ma
1,513
posts
@ziqiao_ma
San Francisco, CA
Joined November 2019
Pinned
P.S. The demo is basically my life at thinky: I start to cut coffee,
@liliyu_liliis visually prompt-injecting my human intelligence with sweet snack every day, and I've gained weight since joining TML.
00:00
Latent autoregression and omnimodality will forever have a special place in my heart
A new SSL audio method is in town: NAPE. We show that simply causally predicting the next audio patch embedding with stop-grad yields strong & scalable audio learners. SOTA performance, interpretable results, and NO decoders/teacher-student/reg losses! All open-sourced!
@LiuXub
We want to improve Inkling’s agentic performance. To help us understand its real-world behavior, we are making it available for free on OpenRouter (only with agentic harnesses) for the next few weeks, starting now. We’ll use the data, disassociated from accounts, to better it.
We care about the community and we'd love to learn how you're actually using Inkling! - What are you building with it? - Where does it feel strongest or weakest? - Which multimodal capabilities matter most to you? - If we made an Inkling Mini/Tiny, what size or sparsity would
Models need to be smart and useful. We're building Inkling and Tinker to turn real workflows into better evals, models, and benchmarks---and we want your input!
Happy to see more and more people finding our NeurIPS 2025 tutorial on the Science of Benchmarking inspiring. Fun fact: when
@m2saxon,
@xiangyue96, and I proposed this tutorial, none of us had decided to join industry. Now we’ve somehow ended up at three different labs :)
