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Visual intelligence could be the key to unlocking AGI, challenging the dominance of language-based models in the quest for general intelligence.
Achieving high-fidelity language generation with 32x fewer function evaluations could revolutionize real-time applications of language models.
A novel hacker-fixer loop can eliminate reward hacking vulnerabilities in agent benchmarks, transforming how we secure AI evaluation metrics.
Forget slow, multi-step diffusion: this work achieves state-of-the-art text generation quality with a *single* denoising step using flow-based language models.
