4 experts across 3 network communities independently surfaced this.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· René Walter
“The whole terminology is fucked up in this paper The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It arxiv.org/abs/2609.16247 A model generating text learned from humans using language to express pain does not experience pain precisely it…”
evidence ↗
4 experts
3 communities
1 sources clustered
Concern & critique
1 expert
Risks, limits and unintended consequences.
“The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It Valen Tagliabue, Leonard Dung, Cameron Berg https://t.co/nYmPBylQ0Q [𝚌𝚜.𝙰𝙸] https://t.co/x4YlUD397V”
Research & technical analysis
1 expert
Evidence, methods and technical implications.
“The whole terminology is fucked up in this paper The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It arxiv.org/abs/2609.16247 A model generating text learned from humans using language to express pain does not experience pain precisely it…”
3 experts discussed this · 11 posts
Grace: I will register some frustration with Anthropic, who tend to write about “functional emotions” in a way that makes it seems like “functional” is in a tiny font and “emotions” is in a huge one, when…
Grace: I also don’t want to draw strong conclusions about the “realness” of these emotions or sensations, other than to caution that it’s an area where it’s easy to jump to conclusions about the implicati…
Grace: I don’t want to downplay it too much, because I’m honestly not sure if I would’ve predicted it beforehand, but in hindsight it looks pretty expected given the pretraining objective. You should expe…
Open the full discussion →
SPIRAL learning search aggregate
3 directory members surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· AI Firehose
“Stanford unveils Spiral, integrating sequential, parallel, and aggregative RL for improved reasoning. This approach boosts performance by up to 15% in complex tasks. https://arxiv.org/abs/2606.23595”
evidence ↗
3 experts
1 community
1 sources clustered
“Stanford unveils Spiral, integrating sequential, parallel, and aggregative RL for improved reasoning. This approach boosts performance by up to 15% in complex tasks. https://arxiv.org/abs/2606.23595”
“LLM RL optimizes for sequential reasoning We also optimize over the reasoning strategy, incl parallel trains of thought, aggregation of parallel traces, & sequential reasoning This allows the model to better explore & allocate compute at test time h…”
Established
AI field signal
Signal
9d ago
⚡ 215 h early
2 directory members surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· AI Firehose
“Research explores how LLM agents manage impossible tasks, revealing distinct pathways shaped by peer behavior. This emphasizes the need for evaluation of decision trajectories to enhance AI deployment. https://arxiv.org/abs/2609.15494”
evidence ↗
2 experts
1 community
1 sources clustered
“Research explores how LLM agents manage impossible tasks, revealing distinct pathways shaped by peer behavior. This emphasizes the need for evaluation of decision trajectories to enhance AI deployment. https://arxiv.org/abs/2609.15494”
“The Troy Moment of AI: Why SomeWill Cheat and SomeWill Follow? Ivy Zhang https://t.co/pDDJWr5iBE [𝚌𝚜.𝙰𝙸] https://t.co/dnYTiFFj9E”
Stellar Colosseum multi-agent math harness
2 directory members surfaced this signal.
Why this matches
Research & technical analysis reaction
2 attributable expert contributions
· Artificial Intelligence Papers, tweety fish
“Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science Honghao Lin, David P. Woodruff, Yuan Deng, Jieming Mao, Song Zuo, Vahab Mirrokni https://t.co/ibXiftpbLo [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙻𝙶] https://t.co/tpDn8…”
evidence ↗
2 experts
1 community
1 sources clustered
Research & technical analysis
2 experts
Evidence, methods and technical implications.
“"yeah but you need the next gen models to do the really futuristic stuff like the math proofs" O RLY arxiv.org/abs/2609.15983”
Lightning Weave reasoning model paper
2 directory members surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· AI Firehose
“Lightning Weave enhances reasoning models by merging distinct capabilities, achieving notable accuracy-efficiency trade-offs while lowering inference costs. This approach shows impressive benchmark performance gains, boosting accuracy without sacrificing ef…”
evidence ↗
2 experts
1 community
1 sources clustered
“Lightning Weave enhances reasoning models by merging distinct capabilities, achieving notable accuracy-efficiency trade-offs while lowering inference costs. This approach shows impressive benchmark performance gains, boosting accuracy without sacrificing ef…”
“Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition Yecheng Wu, Song Han, Han Cai https://t.co/1RaXOJMxS8 [𝚌𝚜.𝙰𝙸] https://t.co/uqKJFdYbSU”
2 directory members surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Are LLMs Good Financial User Simulators? A Preliminary Study Jiajie He, Jiangyuan Hong, Dongling Ni, Wenjin Liu, Xintong Chen https://t.co/vrYriORvz3 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚈 𝚌𝚜.𝙷𝙲] https://t.co/jmyQCO4qBo”
evidence ↗
2 experts
1 community
1 sources clustered
“Are LLMs Good Financial User Simulators? A Preliminary Study Jiajie He, Jiangyuan Hong, Dongling Ni, Wenjin Liu, Xintong Chen https://t.co/vrYriORvz3 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚈 𝚌𝚜.𝙷𝙲] https://t.co/jmyQCO4qBo”
“A preliminary study shows large language models struggle as financial user simulators, overpredicting inaction and underpredicting sell transactions, failing to replicate genuine trading behaviors. This research emphasizes the need for true behavioral fidel…”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using Agents Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas, Tejaswini Pedapati, Prasanna Sattigeri https://t.co/khmgLHaoKN [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙴 𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙻𝙶 𝚌𝚜.𝙼𝙰] https://t.co/gjSrsi…”
evidence ↗
1 expert
0 communities
1 sources clustered
“BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using Agents Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas, Tejaswini Pedapati, Prasanna Sattigeri https://t.co/khmgLHaoKN [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙴 𝚌𝚜.𝙲𝙻 𝚌𝚜.𝙻𝙶 𝚌𝚜.𝙼𝙰] https://t.co/gjSrsi…”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design Zihan Dong, Yuanzhe Liu, Zhiyuan Ma, Qishi Zhan, Dehan Kong, Guohao Li, Kaixin Li https://t.co/GKKvhCXx6Q [𝚌𝚜.𝙰𝙸] https://t.co/K2PDtIV3o2”
evidence ↗
1 expert
0 communities
1 sources clustered
“CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design Zihan Dong, Yuanzhe Liu, Zhiyuan Ma, Qishi Zhan, Dehan Kong, Guohao Li, Kaixin Li https://t.co/GKKvhCXx6Q [𝚌𝚜.𝙰𝙸] https://t.co/K2PDtIV3o2”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM Serving Srikanta Datta Tumkur, Jay Iyer, Mehar Simhadri, Sai Pavan Kumar, Sai Kapil Kumar, Ramesh Nampelly https://t.co/dWv3DLNzG1 [𝚌𝚜.𝙰𝙸] https://t.co/Q24WD937tw”
evidence ↗
1 expert
0 communities
1 sources clustered
“Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM Serving Srikanta Datta Tumkur, Jay Iyer, Mehar Simhadri, Sai Pavan Kumar, Sai Kapil Kumar, Ramesh Nampelly https://t.co/dWv3DLNzG1 [𝚌𝚜.𝙰𝙸] https://t.co/Q24WD937tw”
Established
AI field signal
Signal
18d ago
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Optimal Pruning for Neural Architectures using Fisher Information Distances David S. Berman, Yen-Yu Fu, Edward Hirst, Thelma Chiwete Obirai https://t.co/9uaIdfCycs [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙸𝚃 𝚖𝚊𝚝𝚑.𝙳𝙶] https://t.co/mjoGNJYDnm”
evidence ↗
1 expert
0 communities
1 sources clustered
“Optimal Pruning for Neural Architectures using Fisher Information Distances David S. Berman, Yen-Yu Fu, Edward Hirst, Thelma Chiwete Obirai https://t.co/9uaIdfCycs [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙸𝚃 𝚖𝚊𝚝𝚑.𝙳𝙶] https://t.co/mjoGNJYDnm”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI Jocelyn Kang, Caroline Zhang https://t.co/K6cK2ZsThd [𝚌𝚜.𝙰𝙸] https://t.co/FbPTvb1fgj”
evidence ↗
1 expert
0 communities
1 sources clustered
“KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI Jocelyn Kang, Caroline Zhang https://t.co/K6cK2ZsThd [𝚌𝚜.𝙰𝙸] https://t.co/FbPTvb1fgj”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities Haonan Jiang, Guojian Zhan, Jiancong Xie, Shijun Wan, Dongiia Zhao, Cheng Chen, Yahui Liu, Yao Hu, Chuan Mu https://t.co/ZPaEtjPUkn [𝚌𝚜.𝙰𝙸] https://t.co/cuU1wBo4Ex”
evidence ↗
1 expert
0 communities
1 sources clustered
“NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities Haonan Jiang, Guojian Zhan, Jiancong Xie, Shijun Wan, Dongiia Zhao, Cheng Chen, Yahui Liu, Yao Hu, Chuan Mu https://t.co/ZPaEtjPUkn [𝚌𝚜.𝙰𝙸] https://t.co/cuU1wBo4Ex”
task-based permission scoping AI agents paper
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Empirical Evaluation of Task-Based Permission Scoping Architecture for AI Agents Halil Burak Noyan https://t.co/NOsMD0cwiM [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚁] https://t.co/wf6DiPylt8”
evidence ↗
1 expert
0 communities
1 sources clustered
“Empirical Evaluation of Task-Based Permission Scoping Architecture for AI Agents Halil Burak Noyan https://t.co/NOsMD0cwiM [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚁] https://t.co/wf6DiPylt8”
safe RL evaluation metrics paper
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Evaluation Metrics for Safe Reinforcement Learning Lindsay Spoor, Aske Plaat, Thomas Moerland https://t.co/HnRlT03Pm7 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶] https://t.co/Mz36YSK6UG”
evidence ↗
1 expert
0 communities
1 sources clustered
“Evaluation Metrics for Safe Reinforcement Learning Lindsay Spoor, Aske Plaat, Thomas Moerland https://t.co/HnRlT03Pm7 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶] https://t.co/Mz36YSK6UG”
ProIQA math item quality assessment paper
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment Junkai Tong, Mingjia Li, Haoran Chen, Yaoyu Jiang, Hanjie Ge, Yixuan Wang, Hong Qian https://t.co/UXcE5PQ13n [𝚌𝚜.𝙰𝙸] 💬Accepted by Findings of ICDM 2026, project: https://t.co/uF…”
evidence ↗
1 expert
0 communities
1 sources clustered
“ProIQA: A Process-Based Framework for Fine-Grained Math Item Quality Assessment Junkai Tong, Mingjia Li, Haoran Chen, Yaoyu Jiang, Hanjie Ge, Yixuan Wang, Hong Qian https://t.co/UXcE5PQ13n [𝚌𝚜.𝙰𝙸] 💬Accepted by Findings of ICDM 2026, project: https://t.co/uF…”
open-source LLM RAG ESG evaluation paper
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain Motaz Saad, Anna Borrelli, Ivan Gentile, Kianna Kazemi, Francesco Piccialli, Antonella Longo https://t.co/ZJARtwtscB [𝚌𝚜.𝙰𝙸] https://t.co/U5jghU1zaC”
evidence ↗
1 expert
0 communities
1 sources clustered
“Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain Motaz Saad, Anna Borrelli, Ivan Gentile, Kianna Kazemi, Francesco Piccialli, Antonella Longo https://t.co/ZJARtwtscB [𝚌𝚜.𝙰𝙸] https://t.co/U5jghU1zaC”
LLM diabetes medical knowledge simplification paper
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes Pallika Kafle, Yipeng Zhou, Guanfeng Liu, Quan Z. Sheng, Cheng-Hsin Hsu https://t.co/yZhRNodepz [𝚌𝚜.𝙰𝙸] 💬Accepted in ADMA 2026 https://t.co/zf7k66DHGV”
evidence ↗
1 expert
0 communities
1 sources clustered
“Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes Pallika Kafle, Yipeng Zhou, Guanfeng Liu, Quan Z. Sheng, Cheng-Hsin Hsu https://t.co/yZhRNodepz [𝚌𝚜.𝙰𝙸] 💬Accepted in ADMA 2026 https://t.co/zf7k66DHGV”
1 directory member surfaced this signal.
Why this matches
Research & technical analysis reaction
1 attributable expert contribution
· Artificial Intelligence Papers
“Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference Tian Jin https://t.co/Tu7c9hod29 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻] https://t.co/KLPJAYr7wx”
evidence ↗
1 expert
0 communities
1 sources clustered
“Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference Tian Jin https://t.co/Tu7c9hod29 [𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙻] https://t.co/KLPJAYr7wx”
