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DPA4 achieves quantum-mechanical accuracy with a fraction of the parameters and training cost, setting a new standard for interatomic potentials.
Current multimodal agents fail to consistently pass CAPTCHA tests, revealing fundamental limitations in their ability to replace humans in automated workflows.
Domino achieves a remarkable 5.49x speedup in LLM inference by decoupling causal modeling from the drafting process, challenging traditional autoregressive constraints.
AgentDoG 1.5 proves you can achieve GPT-5.4-level agent safety with open-source models trained on just 1k samples, slashing deployment overhead by two orders of magnitude.