当涉及到对过去40亿年来地球上进化的所有蛋白质和酶进行编目时，人类知识几乎没有触及表面。这就是为什么一家名为Basecamp Research的公司正在将图形和人工智能技术结合起来，以扩大人类知识的范围并加速药物发现。

近日，美国未来学家艾米·韦伯（Amy Webb）在对未来技术趋势的报告中提出了诸多令人震撼的预测。她认为，到2025年，人工智能将与生物技术、先进传感器等领域深度融合，推动'生成式生物学'发展，并将大语言模型（LLM）推向'大型动作模型'（LAM），带来'活性智能'（Living Intelligence）的革命性突破。

Companies like Google say AI can accelerate scientific research. Many experts don't believe that's true, necessarily.

1年前，ChatGPT强势来袭。它的横空出世，让很多人意识到人工智能大模型的无限潜能。但这显然不是AI掀起的最高浪潮——前不久，DeepSeek“火”了起来，以其高度智能化、多模态处理能力、高效性与可扩展性、持续学习与进化以及安全性与低成本等特点，展现出广阔的应用前景。

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