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Stephen "Cas" Casper, Assistant Professor at Harvard Kennedy School working on AI safeguards, incidents and governance, hosts an AMA covering AI safety, risk, state and federal legislation, and AI terrorism events.
OpenAI announces three major scientific discoveries in mathematics, computer science, and physics—including a refutation of the Exponential Time Hypothesis—while unveiling a new collaboration model using external academic 'shepherds' to guide and verify the results.
ICLR 2027 continues to issue desk rejects for submissions, with the community being thanked for helping guard against low-quality AI-generated papers flooding the review process.
Fields Medalist Richard Borcherds weighs in on the controversy around OpenAI's Navier-Stokes proof, arguing that mathematicians' frustration stems from a gradual realization of AI's capabilities rather than any fault of the technology itself.
An Anthropic researcher told a room full of PhD students in a talk titled "The End of the Humanocene" that the career paths they had originally planned no longer exist, and the data presented was quite brutal.
Top US versus Chinese institutions ranked by the number of top-cited AI researchers, highlighting the ongoing talent competition between the two countries in artificial intelligence.
The author argues that AI models outperforming humans in advanced mathematics is just the beginning, and that theoretical and computational scientific research across physics, chemistry, and engineering will be fundamentally transformed within five years, posing an existential risk to academic researchers in those fields.
A Hacker News discussion帖吐槽 ICLR 审稿中泛滥的晦涩 AI 写作，并附上一段匿名论文的典型模糊表述，呼吁社区讨论如何在不简单指责“AI 写作”的前提下批评这类糟糕行文的实质问题。
菲尔兹奖得主陶哲轩呼吁数学界进入"战时状态"，以应对AI生成内容与潜在的数学研究危机。
一位研究者在推文中调侃 NLP 领域被 LLM「解决」的历史，并暗示其他学科如今正面临被 LLM 取代的局面，建议借鉴 NLP 研究者的应对经验。
OpenAI announced the Rosalind Academic Plan, offering eligible academic labs up to 30 free Business Standard seats for 12 months with access to GPT-Rosalind, a specialized life sciences model, and the Rosalind Workbench for scientific research.
A physics graduate student recounts how ChatGPT went from useless for QFT problem sets to becoming the default tool among her Oxford classmates, reflecting on the decay of traditional study habits and academic culture in the age of AI.
PyTorch 将在 PyTorch Conference North America 前举办 Day 0 "From Academia to Adoption" 工作坊，邀请学术研究者和早期开源开发者学习如何把研究项目转化为可持续的开源工具，并通过 lightning talks 展示项目。
用户强烈推荐Pierre Marion的文章，讨论若LLM将科研中的公式计算、写代码、检索文献等环节提速10到100倍，稀缺资源将转向选题、建模与价值判断；作者批评以论文数量和h-index为核心的评价体系正在失效，主张用AI扩展探索空间，把人类时间留给判断、品味与培养下一代研究者。
专业数学家对AI能够先于人类发表新颖研究成果感到不安。NYU数学教授Tristan Buckmaster在接受CNBC采访时表示，他使用AI工具但不会在其中投入原创想法，并提到OpenAI一次生成了722篇数学论文。
Guest post on Terence Tao's blog by Álvaro Lozano-Robledo addressing students worried that LLM advances may upend mathematical research careers, urging them to keep studying math while examining whether AI will surpass human researchers and shrink academic math.
MIT Statistics and Data Science Center Director Sasha Rakhlin's essay explores how rapidly advancing AI is reshaping academic research and graduate training in mathematics, statistics, ML, and engineering, and how universities should rethink academic credit, evaluation, and intellectual development in response.
This opinion piece argues OpenAI is justified in publishing its AI-generated mathematical results through its own channels rather than traditional peer review, and that mathematicians' complaints stem from self-preservation rather than academic integrity concerns.
A blog post arguing that despite an 'existential crisis' mood among programming-languages researchers fearing AI will make humans stop writing code, the field is entering an era of unprecedented exploration where LLMs accelerate research and the beautiful theoretical ideas of PL remain as compelling as ever.
NVIDIA is now accepting applications worldwide for its 26th annual Graduate Fellowship Program, offering awards of up to $60,000 plus mentorship and an in-person internship for doctoral students researching AI, ML, robotics, computer graphics, healthcare, and high-performance computing.