Our thesis is that experiments from our high-throughput labs provide the data to train increasingly capable scientific AI, which, in turn, guides better experiments.
【非共识】作者提出了一个循环增强的核心理念，即高通量实验室数据训练出的AI能指导更好的实验，产生更多数据，形成正反馈循环。这一观点挑战了传统科学研究中数据收集和模型训练的分离模式，暗示了一种自我改进的科学发现系统，但未详细说明如何避免这种循环中的潜在偏见或局部最优问题。
We are extending this approach to train our AI to direct scientific campaigns, to develop synthesis procedures, and to decide which experiments to run.
【方法】这段文字展示了方法的扩展计划，表明AI将从分析结果发展到指导整个科学实验流程。这种从分析到决策的扩展代表了AI在科学研究中角色的重大转变，但未提供具体的实施时间表或预期挑战，特别是关于AI决策的验证和可靠性问题。
Periodic Neon is an early example: using our lab data, we trained a trillion-parameter model that outperforms GPT-6 Astra on a critical scientific analysis task using relatively little compute.
【数据】这一声明提供了具体的性能比较数据，表明他们的1T参数模型在特定科学分析任务上优于GPT-6 Astra，且计算资源消耗较少。这暗示了针对科学领域优化的模型可能比通用大模型更高效，但缺乏具体的性能指标提升百分比和计算资源消耗的具体数值，使得这一声称的可验证性有限。
That was the moment that I felt like, okay, these models have now come to a point where they really, truly understand.
大多数人认为AI模型只是基于模式识别的统计工具，无法真正'理解'科学概念。然而，作者声称GPT-5能够预测未发表实验的结果，并产生'真正理解'的洞察力，这挑战了人们对AI本质和认知能力的传统认知，暗示AI可能已达到某种形式的理解能力。
general-purpose reasoning model in the vein of GPT-5.5
大多数人认为专业化的AI模型在科学研究中比通用模型更有效，但作者认为OpenAI使用通用推理模型而非专门数学模型就能证明重要数学猜想，这挑战了AI研究需要高度专业化工具的主流观念，暗示通用AI代理可能很快能在科学领域取得独立贡献。
The central question is not whether AI can imitate human conversation, but whether it can participate in the production of publishable scientific knowledge at a level comparable to a recognized human contributor.
大多数人认为AI科学贡献的衡量标准是其模仿人类对话的能力，而作者认为真正的标准应该是AI能否产生可发表的、相当于人类贡献者的科学知识。这一观点重新定义了AI科学成功的标准，挑战了当前AI评估的主流范式。
The application of LLMs in science is already underway... We believe that AI will ultimately bring a fundamental big change to scientific research across disciplines.
大多数人认为AI在科学研究中只是辅助工具，而作者认为AI将从根本上改变科学研究的结构和方式。这一观点与主流认知相悖，因为它暗示AI不仅是提高效率的工具，而是会重塑科学发现、合作和发表的本质。
helping scientists move faster from question to evidence, from evidence to insight, and from insight to new treatments for patients.
这一描述将科学研究过程简化为三个明确阶段，暗示AI可能加速每个阶段的转换。这种简化反映了AI对科学过程的重新概念化，可能改变科学方法论的基本框架。
We will continue improving the model's biological reasoning, expanding support for tool-heavy and long-horizon research workflows, and working closely with leading scientific institutions to evaluate real-world impact.
这一长期发展规划反映了AI科学应用的阶段性特征。从基础推理到复杂工作流程支持，再到实际影响评估，展示了AI如何逐步深入科学研究的核心，最终可能改变科学发现的本质。
26:30 Brings up progress traps of this new technology
26:48
question How do we shift our (human being's) relationship with the rest of nature
27:00
metaphor - interspecies communications - AI can be compared to a new scientific instrument that extends our ability to see - We may discover that humanity is not the center of the universe
32:54
Question - Dr Doolittle question - Will we be able to talk to the animals? - Wittgenstein said no - Human Umwelt is different from others - but it may very well happen
34:54
species have culture - Marine mammals enact behavior similar to humans
36:29
citizen science bioacoustic projects - audio moth - sound invisible to humans - ultrasonic sound - intrasonic sound - example - Amazonian river turtles have been found to have hundreds of unique vocalizations to call their baby turtles to safety out in the ocean
41:56
ocean habitat for whales - they can communicate across the entire ocean of the earth - They tell of a story of a whale in Bermuda can communicate with a whale in Ireland
43:00
progress trap - AI for interspecies communications - examples - examples - poachers or eco tourism can misuse
44:08
progress trap - AI for interspecies communications - policy
45:16
whale protection technology - Kim Davies - University of New Brunswick - aquatic drones - drones triangulate whales - ships must not get near 1,000 km of whales to avoid collision - Canadian government fines are up to 250,000 dollars for violating
50:35
environmental regulation - overhaul for the next century - instead of - treatment, we now have the data tools for - prevention
56:40 - ecological relationship - pollinators and plants have co-evolved
1:00:26
AI for interspecies communication - example - human cultural evolution controlling evolution of life on earth
ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144