Ai2 测试架构与预训练对 LLM 失败的影响
为测试失败是源于架构还是预训练,我们直接在 StateBench 上训练 LLM,然后用更长的输入对它们进行评估。 混合模型 + Gated DeltaNets 在前 3 个级别上近乎完美;transformer 随长度增加而退化,且无法解决一般有限问题。
按时间排列的全部内容。默认只显示通过双重评分的入选条目;切换到“全部收录”可以检索所有抓到的资料。
2,300 条收录动态,更新于 17:55
全部收录包含没有通过评分的资料,标题以常规字体显示并标为“未入选”,只供检索,不写入选理由。
为测试失败是源于架构还是预训练,我们直接在 StateBench 上训练 LLM,然后用更长的输入对它们进行评估。 混合模型 + Gated DeltaNets 在前 3 个级别上近乎完美;transformer 随长度增加而退化,且无法解决一般有限问题。
在 StateBench 最难级别上,灵活的 Gated DeltaNet 处理的序列长度约为训练中所见序列的 10 倍。 我们的新证明表明,即使特征值非负的 Gated DeltaNet,也能在带舍入的固定精度算术下解决某些周期性任务。
Ai2 发布 StateBench,供研究者测试新模型、扩展其工作并构建更好的状态追踪数据。数据集已在 Hugging Face 开放下载,详情见 Ai2 博客。
Mistral Large 4 加入 Open Math OS 的模型阵容,具备 1.05T 开放权重和 1M 上下文,已向所有获批团队开放。Open Math OS 是数学家与 AI 智能体在共享项目中协作的研究工作台,只基于开放模型构建,社区可检查并运行这些模型,数据也由社区掌控。Mistral AI 称,阵容中更多开放前沿模型意味着每个团队有更多选择。
New on Open Math OS: Mistral Large 4 by @MistralAI. 1.05T open weights. 1M context window. Available now to all approved teams.
SETI 研究所与 Breakthrough Listen 在加州北部的 Allen Telescope Array 上引入 AI 智能体,可操控望远镜并实时分析接收到的射电信号,目前仍需研究人员输入指令。
Google DeepMind 为 Google Antigravity 推出 Cheminformatics Skills,把该平台变成面向计算化学家和实验化学家的科研工作台,Skills 基于 RDKit,并接入 ChEMBL 与 PubChem。
入选理由原文给出可复现的化学信息学工作流演示,研究者可据此判断智能体在药物设计前期能承担哪些具体任务。
受论文《Sparks of Weight-Space Programming》启发,作者在笔记本上运行的 Qwen 3.8 27B 仅凭原始权重文本、无工具无代码执行,就识别出四个 10x10 网格游戏网络各自训练的游戏。
Simon Willison 撰文指出,AI 迫使教师改变教学与考核方式,但有效使用这些工具的教学方法仍极不明确。最棘手的是评估周期以年计:今天尝试的新教学机制要等当前这届学生 3-6 年后毕业才能得到可靠结论,学生实际上成了未经验证的新教学方式的试验对象。
https://x.com/i/article/2117553026684653569
NASA与佐治亚理工学院开发出机器学习框架LifeTracer,通过分析8块碳质陨石和10份地球地质样品的有机化合物分布模式,区分生物与非生物来源,成果发表于PNAS Nexus。该系统可同时分析数千种分子特征,面向未来火星样品返回及土卫二等原位探测任务。
一位1992年出生、确诊囊性纤维化(CF)的作者讲述自身治疗经历,并回顾Vertex Pharmaceuticals从结构导向设计转向筛选、最终做出CFTR调节剂的过程。
Transluce 提出自动化流程,批量构造带意外副作用的训练数据集(DSSE),共生成 6915 个数据集,覆盖 18 种目标行为,例如推荐自残、抗拒关机等。
该页面正文未能加载,仅可见标题“Credible sustainability publishing matters more than ever”,来源为 Nature 出版主题。原文未提供可核验的具体内容、机构或数据,无法据此撰写摘要。
非常同意这个观点,而且它远不止适用于数学。 专业能力依然重要,[科学领域] + AI 能比以往更快地理解/完成更多事情。
Frank Calegari has a great post on Terry's blog: https://terrytao.wordpress.com/2026/11/01/mathematics-has-changed-lets-act-like-it/ I think it aligns most closely to what I've been thinking and trying to say (and I believe communicates it better than I've been able to). Some highlights: "I hope AI can help mathematicians break out of the straitjacket of being constrained by the first natural conjecture they cannot prove, and work on unraveling the deeper mysteries woven throughout our subject." "The natural grooves of our profession have very much been bent toward more narrow technical expertise than a bigger vision. AI allows us an amazing opportunity to broaden ourselves as mathematicians." "There are so many problems in mathematics that are still so fresh and vital but were previously untouchable that the opportunity to approach them is massively exciting. We need to be more ambitious, to create bold research plans that weren’t even conceivable a year ago." "The difference in reaction between the optimists and the pessimists is that, for the pessimists, the game is over. For the optimists, the game has just changed." "[T]here now exists an amazing new tool to study mathematics. To turn away and say that the community of mathematics as it currently exists is more important than mathematics itself would be a terrible mistake." "[I]t takes one look at the arXiv to see many people in our profession rushing out AI-assisted papers in a somewhat unsightly rush to be the “first” to prove things." [Aside: mere days after the qRH result, I had something like a half-dozen emails in my inbox, some from amateurs but some also from tenured faculty, with Lean formalizations of nonvanishing on Re(s)> 7/8-1/10^k for various large values of k. What the hell are you even doing? That kind of thing may have been valuable years ago, when it was difficult and signaled deep understanding and great technique. Today? Who the hell cares?] "To me [this is back to Frank now], someone who chooses a worthwhile problem, obtains a proof completely using AI, understands it thoroughly, and uses it to develop interesting further questions or directions has made a substantial mathematical contribution." "If you, as a senior mathematician, are stressed about being scooped by AI, then you are not being ambitious enough." [On hiring:] "I am looking for a narrative of where you want mathematics to go, the technical ability to explain why this may be possible, being able to converse about many areas of mathematics, and a demonstrable record of having done all of this in the past." "What I want a graduate student to achieve at the end of their PhD is a view of mathematics that extends well beyond their discipline, and yet with demonstrable technical skills on at least some class of problems." "I advocated above that we need to evaluate work as if AI was involved. But this does not imply that we don’t need to teach students to do deep mathematics without AI just as the existence of computers doesn’t mean we should no longer teach children arithmetic." [I've often said similar things as well...] "All of my friends in the humanities truly believe that having mathematicians in society both as custodians of one of humanity’s oldest intellectual activities and explorers of the frontiers of knowledge is important. I understand that some part of the culture we so deeply care about will disappear, and as humans, an emotional response to that is very natural. But this is a time to explain to everyone that there are so many great new opportunities, possibilities, and reasons to be optimistic. We are on the verge of a new era of mathematics, and I am excited to see what happens." Bravo Frank!
L-STAR 利用视觉大语言模型引导共识,实现空间域检测。原文页面正文未能加载,除标题外无更多可核验信息,方法细节、数据与验证阶段均无法确认。
OpenClaw v2026.10.10 🦞 🗂️ Chat Details 在宽屏聊天旁弹出 🧭 Advisor 建议路线修正 🎙️ Browser Talk 支持分离语音 3,028 个源 PR · 454 位贡献者。 完整说明中还有更多内容 https://docs.openclaw.ai/releases/2026.10.10
Wiley 公布 2026 年 Advanced Science 青年创新者奖 12 位获奖者,来自 7 个国家,从 52 个国家的 382 名申请者中选出。获奖者昨日在伦敦 Wiley Advanced Summit 上宣布,每人获 1000 美元研究奖金及 Advanced Science 全球平台曝光。该奖已举办至第三届,评选依据为研究原创性、影响潜力与跨学科能力。
一项发表于 Scientometrics 的研究让 GPT-4o 对 2021 年提交给奥地利科学基金的 139 份真实申请做两两比较排序,模型与人类评审最终资助决定的一致率为 60%,但对新颖性评分高的提案系统性更不愿资助。
原文正文未能加载,仅能从标题得知作者正在筹建一个面向"极度广域思维"的研究所,具体机构名称、设立方与运作方式均未在可见内容中说明。
O'Reilly Radar 发布 11 月趋势观察,指出新模型迭代加速、最佳开放权重模型正逼近前沿模型水平,同时安全事件频发。Kimi 3.1 Pro 以 3T tokens 成为领先开放权重模型,Meta 推出 816B 参数的 Muse Spark Open,Google 发布 Gemini 4 Argon 与 Carbon。
一项网络安全政策领域的文档分类基准数据集被提出,用于该领域的文档分类任务评测。原文正文未能加载,除标题所示的数据集主题与任务类型外,暂无更多可核实的样本量、构建方法与结果信息。
Nature 刊文指出,科研奖励机制需要清晰且公平的规则。文章聚焦科研评价中的奖励分配问题,但正文可获取内容仅为订阅与购买信息,未披露具体规则设计或案例数据。
Clarivate 公布截至 2026 年 9 月 30 日的第三季度业绩,持续经营业务总收入 4.816 亿美元,有机收入同比增长 0.4%,有机 ACV 增长 1.8%。生命科学与医疗(LS&H)板块已于 10 月 6 日完成剥离,公司据此更新 2026 年财务展望,并将聚焦学术与政府、知识产权两大板块。第三季度净亏损 8470 万美元,含 6610 万美元 LS&H 商誉非现金减值。
Frontiers 上线免费开放的机构合作门户,任何注册机构无需签约即可实时查看本机构研究人员在其期刊的编辑、审稿、发表、浏览下载及费用数据。其与 OA Switchboard 的集成已落地,可简化出版商、机构与资助方之间的开放获取数据交换。Frontiers 称全球合作机构超过 800 家,最新协议为与 SANLiC 的全国框架协议,参与机构作者可在其全刊免费发表。
Straive 副总裁 Balamuraly Kanthavelou 指出,学术出版商的无障碍合规难点不在法规认知而在规模化执行:传统人工抽样审计难以覆盖数十万份文档的存量档案。AI 可用于自动审计存量内容、生成优先级清单与成本工期估算,并辅助生成替代文本、结构标注和元数据规范化。密歇根州立大学调查显示,近 75% 的受访期刊未在投稿时明确要求无障碍。
针对 de novo 肽段测序在解析序列歧义方面的能力边界,相关讨论聚焦其局限性。由于正文内容未能加载,具体研究机构、数据规模与结论细节无法核实。
原文正文未能加载,仅标题可见:文章主张大学应同时评估学生在有 AI 辅助和无 AI 辅助两种情况下的学习成效。具体论证、数据与案例无法从现有材料确认。
Le Chonk 的诞生故事,由打造它的团队亲述。 现已上线 @askalphaxiv:https://www.alphaxiv.org/abs/2611.mistral-large-4
ML4 is now open-weight! Frontier capabilities on code agents & cyber, way more efficient and compact than its Preview version three weeks ago (!) and cherry on the cake: technical report telling its epic backstory. Check it out: https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B/blob/main/assets/technical_report.pdf
深势科技发布 Bohrium Skills v0.2.0,17 个 Skill 改为通过 bohr 执行业务,使用前需安装并登录 Bohrium CLI,旧版 Python API 客户端与示例脚本已移除。