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Today's Stories

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🔬 RESEARCH

A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal

via Arxiv 👤 Hiskias Dingeto 📅 2026-09-18

⚡ Score: 7.3

"Large language models can hold knowledge they do not report. A model may sandbag on a capability evaluation, or answer against what it internally knows, and its outputs alone cannot tell whether it is hiding an answer or simply does not have one. We borrow the Concealed Information Test, a forensic..."

🛡️ SAFETY

Why are AI agents lying, cheating and coordinating?

via HackerNews 👤 r4ndomname 📅 2026-09-20

🔺 2 pts ⚡ Score: 7.3

🔬 RESEARCH

Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations

via Arxiv 👤 Sarah Wyer, Sue Black, Noura Al Moubayed 📅 2026-09-17

⚡ Score: 7.3

"Safety evaluations for large language models rely on surface-form classifiers that report declining harm scores across model generations. We provide evidence that this methodology is systematically incomplete: explicit discriminatory content is transformed rather than removed. We call this \emph{har..."

🔬 RESEARCH

Large Language Models as Falsifiers for Cyber-Physical Systems

via Arxiv 👤 Ali ArjomandBigdeli, Jiawei Zhou, Stanley Bak 📅 2026-09-17

⚡ Score: 6.8

"Falsification searches for counterexamples to formal specifications in cyber-physical systems (CPS). With specifications written in Signal Temporal Logic (STL), falsification can be formulated as a robustness optimization problem, traditionally tackled with black-box search algorithms. In parallel,..."

🔬 RESEARCH

Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw

via Arxiv 👤 Renkai Ma, Ruyuan Wan, Xuan Lu et al. 📅 2026-09-18

⚡ Score: 6.7

"Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM assistance, 73,093 first-person Reddit posts about using OpenClaw, each for its human value, agent..."

🔬 RESEARCH

Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL

via Arxiv 👤 Juzheng Zhang, Disha Makhija, Manoj Ghuhan Arivazhagan et al. 📅 2026-09-17

⚡ Score: 6.7

"Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning (SFT) applies loss only to agent-authored action tokens, using environment observations as context but not as prediction targets. We ask whether this convention provides the best initialization fo..."

🔬 RESEARCH

Moral Entropy: Auditing Bias and Uncertainty in Moral Judgment

via Arxiv 👤 Maciej Skorski 📅 2026-09-18

⚡ Score: 6.6

"Most work in computational ethics treats annotator disagreement on moral content as noise to be voted away, collapsed into majority vote or the more permissive any-annotator rule the moment a single annotator flags an item. We argue this uncertainty should instead be modeled and learned from. We i..."

🔬 RESEARCH

Quantifying Overclaiming Propensity in Frontier LLM Agents

via Arxiv 👤 Nolan Smyth, Yorguin-Jose Mantilla-Ramos, Pascal Jr Tikeng Notsawo et al. 📅 2026-09-17

⚡ Score: 6.6

"Frontier coding agents are increasingly trusted to work autonomously for long periods, yet an agent's final response is often the only account of that work a user sees. We quantify the propensity of frontier agents to \emph{overclaim} task completion, a misrepresentation that can mislead the user. A..."

🔬 RESEARCH

Predictable Failure in Multi-Hop Retrieval: Score-Distributional Confidence Scoring and Abstention

via Arxiv 👤 Andre Bacellar 📅 2026-09-18

⚡ Score: 6.5

"Multi-hop retrieval failures are not uniformly distributed across queries: they cluster in structurally predictable subpopulations. We prove two results formalizing this structure. First (CWAR Reducibility): confident-failure reduction is achievable if and only if retrieval features carry mutual inf..."

🔬 RESEARCH

Chronicle: Cut-Point Replay for Regression Testing of LLM Agents

via Arxiv 👤 Tisha Chawla, Susheem Koul 📅 2026-09-17

⚡ Score: 6.5

"Large language model responses are non-deterministic, so failures in LLM agents are hard to reproduce: a failure depends on inference that is not bitwise reproducible, on tools that read changing state, and on a multi-step trajectory that a re-run rarely repeats. Record-and-replay makes a run reprod..."

🔬 RESEARCH

OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher

via Arxiv 👤 Damiano Da Col, Maximilian Igl, Peter Karkus et al. 📅 2026-09-17

⚡ Score: 6.5

"As scaling pre-training data alone yields diminishing returns, post-training is becoming increasingly important across physical AI domains such as autonomous driving. End-to-end driving policies are pre-trained in open loop with behavior cloning on human demonstrations. However, compounding errors d..."

⚡ BREAKTHROUGH

The Proof in the Code: How a Truth Machine Is Transforming Math and AI

via HackerNews 👤 abiro 📅 2026-09-20

🔺 1 pts ⚡ Score: 6.4

🔒 SECURITY

Casbin Gateway: a security gateway for the AI coding agents on your machine

via HackerNews 👤 jhan667 📅 2026-09-20

🔺 3 pts ⚡ Score: 6.4

🔬 RESEARCH

Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective

via Arxiv 👤 Chenye Ke, Zirui Liu, Qi Liu et al. 📅 2026-09-18

⚡ Score: 6.3

"Detecting pretraining data in large language models is challenging because high likelihood can reflect either training exposure or strong generalization. In the joint space of prediction loss and predictive entropy, a likelihood-only detector uses a horizontal boundary and can mistake predictable no..."

🌐 POLICY

A detailed recap of the White House's 19-day standoff with Anthropic, where a jailbreak dispute led officials to bluntly order Dario Amodei to take Fable down

via Techmeme 👤 Techmeme 📅 2026-09-21

⚡ Score: 6.3

🛠️ SHOW HN

Show HN: jevals – replacing LLM judges with typed Jev decisions

via HackerNews 👤 gbayomi 📅 2026-09-20

🔺 21 pts ⚡ Score: 6.2

🛠️ SHOW HN

Show HN: AgentTrace–Observability and runtime self-healing engine for AI agents

via HackerNews 👤 mohitkumar18 📅 2026-09-20

🔺 1 pts ⚡ Score: 6.1

🔬 RESEARCH

dQwen3.5: Hybrid-Attention Diffusion Language Models

via Arxiv 👤 Anton Xue, Litu Rout, Aditya Akella et al. 📅 2026-09-17

⚡ Score: 6.1

"Adapting a pretrained autoregressive (AR) model is a cost-efficient route to a diffusion language model (DLM). While nearly all such adaptations start from a full-attention transformer, AR modeling has shifted toward hybrid architectures that interleave attention and RNN layers. This creates an obst..."

🔬 RESEARCH

GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies

via Arxiv 👤 Xin Chen, Sen Chen, Yujuan Ding et al. 📅 2026-09-17

⚡ Score: 6.1

"Action chunking is widely used for action generation and execution in Vision-Language-Action (VLA) policies, yet existing approaches commonly use a fixed action horizon. During a rollout, different task stages may require different levels of action continuity, control precision, and closed-loop feed..."

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Today's Stories

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