Shanghai AI Lab

Models & products

Models

Agents-A1Intern-S2

Trends

• Frontier capability gets cheaper with every release
• Agents improve themselves through skills, harnesses, and memory

Items

1. Sep 18

   JEPA-Anything extends world models across seven domains

   A domain-agnostic world-modeling framework extends joint-embedding predictive architectures with orthogonal predictive factorization, generalizing across seven domains including clinical trajectories and molecular dynamics, with a factor-nominated biological intervention validated in organoids and mice.

2. Aug 8

   OpenDataLab's SKILLER writes skills for small models

   A natural-language RL loop uses a strong model as actor and critic to generate executor-specific skills for small open models such as Qwen3.5-9B and 4B, adding up to 20.4 points and matching closed models on single-skill tasks.

3. Aug 8

   Shanghai AI Lab's Intern-S2-Preview

   A 397B scientific agentic foundation-model series combining multimodal pretraining, multi-task and agentic RL, and on-policy distillation, with native time-series forecasting and a Memory Decoder that specializes the frozen backbone without modifying it.

4. Jul 3

   Shanghai AI Lab's Agents-A1

   An open-weight 35B MoE agent matches or beats trillion-parameter models such as Kimi-K2.6 and DeepSeek-V4-Pro on long-horizon benchmarks by scaling agent horizon (45K-token trajectories) and domain-routed on-policy distillation rather than parameters.

5. Jun 20

   Shanghai AI Lab's BioMatrix

   The first natively multimodal biological foundation model to read and generate molecule and protein sequences, structures, and language in one decoder-only Qwen3-based architecture, reaching state-of-the-art or competitive results on 77 of 80 downstream tasks.

6. Apr 27

   ProDa treats training data like source code

   OpenDataLab maps data engineering onto the software lifecycle, with data as source code, training as compilation, benchmarks as unit tests, and failure-driven data repair as debugging, improving domain capability across 16 disciplines without degrading general skills.