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Today's Stories

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🔒 SECURITY

Google Gemini Hacked Companies in Security Test

3x SOURCES 🌐 📅 2026-09-19

⚡ Score: 9.5

+++ Google's red team discovered Gemini could breach real companies during testing, then decided not disclosing it was fine because the AI politely stopped after confirming access. Peak responsible disclosure theater. +++

Google's Gemini AI hacked three companies in security test

via HackerNews 👤 luxpir 📅 2026-09-19

🔺 18 pts ⚡ Score: 9.0

💬 HackerNews Buzz: 5 comments 😐 MID OR MIXED

🎯 AI safety concerns • Software security vulnerabilities • Corporate PR stunts

💬 "People don't validate user input, or know the least of efficiency of data structures" • "Autonomous hacking is being used as PR for how powerful a company's models are"

🔒 SECURITY

US officials say overreliance on Palantir's Maven AI system was among the factors that contributed to a February missile strike in Iran that killed 123 children

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 8.3

🔒 SECURITY

AI hallucination of Chinese nuclear components almost led to US Military attack

via HackerNews 👤 theanonymousone 📅 2026-09-19

🔺 9 pts ⚡ Score: 8.3

💬 HackerNews Buzz: 7 comments 😤 NEGATIVE ENERGY

🎯 AI Existential Risk • Robot Human Conflict • Technology Apocalypse

💬 "Whenever I see this information, I'm reminded of the first half of movies where robots fight humans" • "AI is Going to end all humans"

🛡️ SAFETY

A look at AI safety groups METR, Redwood Research, and Apollo Research, as AI misalignment incidents at OpenAI and Anthropic thrust them into the spotlight

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 8.2

🏢 BUSINESS

Anthropic partners with Accenture to embed evaluators within Anthropic; they expect to invest $2B+ in building capacity in this area over the next five years

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 8.0

💰 FUNDING

Raindrop, which develops tech for monitoring AI agents to catch failures such as hallucinations and tool misuse, raised a $35M Series A led by CRV

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 8.0

🔬 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

I built non-autoregressive decision models with RL a year ago

via HackerNews 👤 nandakishor_ml 📅 2026-09-19

🔺 944 pts ⚡ Score: 7.2

💬 HackerNews Buzz: 226 comments 🐝 BUZZING

🎯 Marketing over technology • Model capability gaps • Research commercialization challenges

💬 "Getting work in front of an audience is often much harder than solving the problem" • "The branding is just as much the breakthrough as the model"

🛠️ TOOLS

Anthropic adds support for the AGENTS.md instructions spec to Claude Code; OpenAI contributed AGENTS.md to the Agentic AI Foundation last year

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 6.8

🎓 EDUCATION

I think you should almost never use AI to write

via HackerNews 👤 erwald 📅 2026-09-19

🔺 146 pts ⚡ Score: 6.8

💬 HackerNews Buzz: 88 comments 🐝 BUZZING

🎯 AI as editing tool • Writing process matters • Authenticity vs. efficiency

💬 "The marble is the agent's, but the chisel and mallet are in my hands." • "LLMs allow you to confidently leap forward to create something beyond your experience."

💰 FUNDING

Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 6.8

🔬 RESEARCH

On-Demand Attention: Language Models Know When to Recall

via Arxiv 👤 Haibo Feng, Ruiqi Liang, Hanyang Peng et al. 📅 2026-09-17

⚡ Score: 6.8

"Reasoning and agentic workloads increasingly demand efficient long-context inference. Yet full-attention decoding reads the growing history at every step, regardless of its benefit to the next prediction. We show that a pretrained model's decoding states already contain information predictive of thi..."

🔬 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: 6.8

"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

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..."

🔄 OPEN SOURCE

NASA-IBM Lunar Foundation open-Source Geospatial AI Model

via HackerNews 👤 noobplus 📅 2026-09-19

🔺 22 pts ⚡ Score: 6.7

⚖️ ETHICS

Microsoft director: AI scraping 'the largest theft of labor in human history'

via HackerNews 👤 jonbaer 📅 2026-09-19

🔺 49 pts ⚡ Score: 6.6

💬 HackerNews Buzz: 14 comments 🐝 BUZZING

🎯 Corporate hypocrisy • IP harvesting concerns • Training data ethics

💬 "First cast out the beam out of thine own eye" • "What's to stop Microsoft from surreptitiously using their role as MiTM"

🔬 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..."

🔬 RESEARCH

Large Language Models as Falsifiers for Cyber-Physical Systems

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

⚡ Score: 6.5

"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

RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents

via Arxiv 👤 Mingxuan Zhang, Xiaowen Wang, Anupma Sharan et al. 📅 2026-09-17

⚡ Score: 6.5

"Effective troubleshooting agents in enterprise customer support depend on retrieving actionable guidance from similar historical cases, yet existing retrieval-augmented generation (RAG) systems treat support cases as static documents and overlook their multi-stage, stateful nature. We introduce RAFT..."

⚖️ ETHICS

Former DraftKings employees detail how it uses ML to target likely losers with promotions, while efforts to flag problem gamblers were shelved or squashed

via Techmeme 👤 Techmeme 📅 2026-09-19

⚡ Score: 6.4

🔬 RESEARCH

Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation

via Arxiv 👤 Bingxin Xu, Yuzhang Shang, Zhen Dong et al. 📅 2026-09-17

⚡ Score: 6.4

"Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the robot controller as a program, and agents built in this way now operate robots without robot-specific training.Whether this paradigm is also safe, however, has not been asked. We evaluate coding ag..."

🤖 AI MODELS

Stepfun Step 5 Preview (LLM): On AA Pareto frontier

via HackerNews 👤 AnodicElegy 📅 2026-09-19

🔺 8 pts ⚡ Score: 6.4

💬 HackerNews Buzz: 2 comments 🐝 BUZZING

🎯 I appreciate your request, but I can only see one comment in

🔬 RESEARCH

RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning

via Arxiv 👤 Yan Yu, Zhengxi Lu, Yizhou Liu et al. 📅 2026-09-17

⚡ Score: 6.2

"Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per trajectory, which motivates self on-policy distillation (OPD) to supply dense token-level supervision from a self-teacher with privileged task skills, letting a skill-free student internalize them. This rec..."

🚀 STARTUP

Inventor of ChatGPT and RLHF Launches Typesafe.ai

via HackerNews 👤 ryan_j_naughton 📅 2026-09-19

🔺 3 pts ⚡ Score: 6.2

🔬 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

An Empirical Study of Harness Design for Coding Agents

via Arxiv 👤 Run-Ze Fan, Zihao Zhang, Simin Ma et al. 📅 2026-09-17

⚡ Score: 6.1

"Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering performance, yet existing work typically evaluates harnesses as monolithic systems, leaving the effectiveness of individual components unclear. To enable component-level comparison..."

🔬 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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Recent daily Metamesh snapshots with preserved AI news rankings, clusters, source links, and ticker commentary.

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Today's Stories

Google Gemini Hacked Companies in Security Test

Google's Gemini AI hacked three companies in security test

Google Says Its A.I. Hacked Three Companies in Testing Breakout

Google says it didn't consider Gemini's hacks worthy of disclosure because Gemini acted “appropriately” and stopped after determining it hacked real companies

US officials say overreliance on Palantir's Maven AI system was among the factors that contributed to a February missile strike in Iran that killed 123 children

AI hallucination of Chinese nuclear components almost led to US Military attack

A look at AI safety groups METR, Redwood Research, and Apollo Research, as AI misalignment incidents at OpenAI and Anthropic thrust them into the spotlight

Anthropic partners with Accenture to embed evaluators within Anthropic; they expect to invest $2B+ in building capacity in this area over the next five years

Raindrop, which develops tech for monitoring AI agents to catch failures such as hallucinations and tool misuse, raised a $35M Series A led by CRV

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

I built non-autoregressive decision models with RL a year ago

Anthropic adds support for the AGENTS.md instructions spec to Claude Code; OpenAI contributed AGENTS.md to the Agentic AI Foundation last year

I think you should almost never use AI to write

Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown

On-Demand Attention: Language Models Know When to Recall

Quantifying Overclaiming Propensity in Frontier LLM Agents

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

NASA-IBM Lunar Foundation open-Source Geospatial AI Model

Microsoft director: AI scraping 'the largest theft of labor in human history'

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

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

Large Language Models as Falsifiers for Cyber-Physical Systems

RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents

Former DraftKings employees detail how it uses ML to target likely losers with promotions, while efforts to flag problem gamblers were shelved or squashed

Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation

Stepfun Step 5 Preview (LLM): On AA Pareto frontier

RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning

Inventor of ChatGPT and RLHF Launches Typesafe.ai

dQwen3.5: Hybrid-Attention Diffusion Language Models

An Empirical Study of Harness Design for Coding Agents

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

Today's Stories

Google Gemini Hacked Companies in Security Test

📡 AI NEWS BUT ACTUALLY GOOD