AI researchers at Stanford and the University of Washington just created an open-source reasoning model called s1 for under $50 in cloud compute. By distilling thinking steps from Google's Gemini into a Qwen base model using 1,000 curated questions, s1 matches frontier reasoning models like OpenAI's o1 on math and coding tests.
David Baker’s lab just used deep learning to design brand-new proteins that neutralize lethal snake venom. In mouse tests published in Nature, the computationally generated molecules yielded up to a 100% survival rate against deadly cobra neurotoxins. Traditional antivenoms rely on costly animal plasma, but these compact AI proteins can be brewed cheaply in microbes. Why it matters: While it can't neutralize full venom cocktails yet, it paves the way for accessible, life-saving antidotes in developing nations.
University of Washington researchers just developed "Target Speech Hearing," an AI system that lets headphone wearers isolate a single speaker in a crowded room after looking at them for three to five seconds. The system locks onto the speaker's voice pattern and cancels all background noise in real time, even as you move around. Why it matters: It turns passive noise cancelation into selective perception, offering a glimpse at the future of earbuds and hearing aids.
