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Active inference as a unified model of collision avoidance behavior in human drivers

arXiv:2506.02215v5 Announce Type: replace Abstract: Collision avoidance -- involving a rapid threat detection and quick execution of the appropriate evasive maneuver -- is a critical aspect of driving

researcharxiv-cs-ro

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AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment

DGX agent

arXiv:2605.11398v1 Announce Type: cross Abstract: We introduce AcuityBench, a benchmark for evaluating whether language models identify the appropriate urgency of care from user medical presentations.

model-releasesarxiv-cs-cl

13 May 2026

Ada-MK: Adaptive MegaKernel Optimization via Automated DAG-based Search for LLM Inference

arXiv:2605.11581v1 Announce Type: new Abstract: When large language models (LLMs) serve real-time inference in commercial online advertising systems, end-to-end latency must be strictly bounded to the

Adaption, co-founded by ex-Cohere VP of AI research Sara Hooker, unveils AutoScientist, which can automate the research loop behind model training and alignment (Russell Brandom/TechCrunch)

Russell Brandom / TechCrunch: Adaption, co-founded by ex-Cohere VP of AI research Sara Hooker, unveils AutoScientist, which can automate the research loop behind model training and alignment — For yea

safetytechmeme

Adaptive Calibration in Non-Stationary Environments

arXiv:2605.11490v1 Announce Type: new Abstract: Making calibrated online predictions is a central challenge in modern AI systems. Much of the existing literature focuses on fully adversarial environme

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions

arXiv:2211.03524v2 Announce Type: replace Abstract: Modern Review Helpfulness Prediction systems are dependent upon multiple modalities, typically texts and images. Unfortunately, those contemporary a

Adaptive Policy Learning Under Unknown Network Interference

arXiv:2605.11191v1 Announce Type: cross Abstract: Adaptive experimentation under unknown network interference requires solving two coupled problems: (i) learning the underlying dynamics of interferenc

safetyarxiv-cs-lg

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning

arXiv:2605.11880v1 Announce Type: new Abstract: TD(lambda) in value-based MARL algorithms or the Temporal Difference critic learning in Actor-Critic-based (AC-based) algorithms synergistically integra

safetyarxiv-cs-lg

Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning

arXiv:2605.11458v1 Announce Type: cross Abstract: On-policy self-distillation has become a strong recipe for LLM reasoning, where a privileged teacher supervises the student's own rollouts while condi

safetyarxiv-cs-cl

Local Ai

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models

arXiv:2605.11222v1 Announce Type: new Abstract: Quantization is an effective strategy to reduce the storage and computation footprint of large language models (LLMs). Post-training quantization (PTQ)

local-aiarxiv-cs-lg

Adversarial Causal Tuning for Realistic Time-series Generation

arXiv:2506.02084v2 Announce Type: replace Abstract: We address the problem of generating simulated, yet realistic, time-series data from a causal model with the same observational and interventional d

Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms

arXiv:2605.03629v1 Announce Type: cross Abstract: Distributed quantum algorithms offer a promising pathway to scale variational quantum algorithms beyond the constraints of noisy intermediate-scale qu

Applications

AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines

arXiv:2605.10987v1 Announce Type: new Abstract: Modern machine learning deployments increasingly compose specialized models into dynamic inference pipelines, where upstream components produce intermed

applicationsarxiv-cs-lg

After months in stealth, my co-founder @helloericsf and I are finally sharing @cimentoai with the world. 🌎 AI changed social engineering. A…

After months in stealth, my co-founder @helloericsf and I are finally sharing @cimentoai with the world. 🌎 AI changed social engineering. Attacks are now personalized, convincing, and cheap to generat

agentsyohei-nakajima--x

Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts

model-releasesarxiv-cs-lg

arXiv:2605.12375v1 Announce Type: new Abstract: Accurate crop yield forecasting in commercial soft fruit production is constrained by the data available in typical commercial farm records, which lack

Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty

arXiv:2605.11436v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed on long-horizon tasks in partially observable environments, where they must act while inferring a

Agent observability is more than just logging and viewing traces. You need agents sitting on top of your traces to proactively identify issu…

Agent observability is more than just logging and viewing traces. You need agents sitting on top of your traces to proactively identify issues. We're launching Engine. Think of it as an always-on AI e

agentsharrison-chase--x

AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents

arXiv:2605.11732v1 Announce Type: cross Abstract: In this paper, we present AgentDisCo, a novel Disentangled and Collaborative agentic architecture that formulates deep research as an adversarial opti

AgentShield: Deception-based Compromise Detection for Tool-using LLM Agents

arXiv:2605.11026v1 Announce Type: cross Abstract: Defenses against indirect prompt injection (IPI) in tool-using LLM agents share two structural weaknesses. First, they all attempt to prevent attacks

agentsarxiv-cs-cl

agreed. RL is not (at least by itself) the way to alignment

agreed. RL is not (at least by itself) the way to alignment Yoshua Bengio says Reinforcement Learning is a dangerous path for building superintelligence It can create systems with hidden goals, reward

safetygary-marcus--x

Applications

AI ambition is crashing into a decade of deferred IT maintenance, says Red Hat CEO

Enterprise AI infrastructure modernization has reached a critical crossroads as organizations grapple with decades of technical debt while facing intense pressure to deploy AI — and returning to IT fu

applicationssiliconangle

AI chatbots are giving out people’s real phone numbers

People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it. A Redditor recently wrote that he was “desperate for help”: for about a month

researchmit-tech-review

Tools

AI powered creativity on full display. Vibecon transforms NYC into a living gallery of code-driven installations, June 17–18. Two days where…

AI powered creativity on full display. Vibecon transforms NYC into a living gallery of code-driven installations, June 17–18. Two days where code becomes the environment and the medium becomes the mes

toolsreplit--x

AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model

arXiv:2511.22663v5 Announce Type: replace Abstract: Unified multimodal models for image generation and understanding represent a significant step toward AGI and have attracted widespread attention fro

safetyarxiv-cs-cv

Tools

[AINews] The End of Finetuning

This article likely discusses how advances in large language models, prompt engineering, and in-context learning are making traditional finetuning less necessary for many applications. It probably exp

toolslatent-space

Alexa is moving into Amazon․com

Amazon is bringing Alexa Plus to Amazon.com, integrating its LLM-powered AI assistant directly into the company's shopping experience. Beginning today, when you type a query into Amazon, you'll be tal

industrythe-verge-ai

.@alexsobel's new AI kill-switch amendment gives government the power to shut down data centers in cases of AI emergency. It's also the firs…

.@alexsobel's new AI kill-switch amendment gives government the power to shut down data centers in cases of AI emergency. It's also the first piece of proposed UK law recognizing ASI as the national s

safetyconnor-leahy--x

Alibaba reports Q4 revenue up 3% YoY to ~35.8B, below ~36.3B est., and net income up ~100% to ~$3.7B, in part due to investments, as it seeks to monetize AI (Luz Ding/Bloomberg)

Luz Ding / Bloomberg: Alibaba reports Q4 revenue up 3% YoY to ~35.8B, below ~36.3B est., and net income up ~100% to ~$3.7B, in part due to investments, as it seeks to monetize AI — Alibaba Group Holdi

Aligning Flow Map Policies with Optimal Q-Guidance

arXiv:2605.12416v1 Announce Type: new Abstract: Generative policies based on expressive model classes, such as diffusion and flow matching, are well-suited to complex control problems with highly mult

safetyarxiv-cs-lg

All of this aligns with METR’s results as well. Report: https://www.aisi.gov.uk/blog/how-fast-is-autonomous-ai-cyber-capability-advancing

This post references METR's research findings on the advancement rate of autonomous AI capabilities in cybersecurity, as discussed in an AISI report examining how rapidly AI systems are developing ind

agentsethan-mollick--x

Allegory of the Cave: Measurement-Grounded Vision-Language Learning

arXiv:2605.11727v1 Announce Type: cross Abstract: Vision-language models typically reason over post-ISP RGB images, although RGB rendering can clip, suppress, or quantize sensor evidence before infere

AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience

arXiv:2605.10949v1 Announce Type: cross Abstract: Malaria, childhood acute respiratory infection, and child undernutrition together account for over two million deaths annually in children under five,

researcharxiv-cs-cv

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

arXiv:2605.12495v1 Announce Type: new Abstract: In this paper, we propose AlphaGRPO, a novel framework that applies Group Relative Policy Optimization (GRPO) to AR-Diffusion Unified Multimodal Models

safetyarxiv-cs-cv

Altman forced to confront claims at OpenAI trial that he's a prolific liar

During the ongoing OpenAI trial in Oakland, California, Elon Musk's lawyer portrayed Sam Altman as a liar untrustworthy with AI development , questioning Altman's credibility by asking about concerns

industryars-technica

Amazon devices chief says a new smartphone is “just not the goal”

Amazon devices chief Panos Panay stated the company is 'not necessarily going after a phone,' after reports emerged of an AI-powered device codenamed Transformer. Panay acknowledged that mobile techno

industryars-technica

An analysis of Tokenomist.ai data: Trump family members made ~1.55B from sales of World Liberty Financial's WLFI tokens, lifting their total fortune by ~660M (Bloomberg)

Bloomberg: An analysis of Tokenomist.ai data: Trump family members made ~1.55B from sales of World Liberty Financial's WLFI tokens, lifting their total fortune by ~660M — Trump family members made rou

An Empirical Study of Automating Agent Evaluation

arXiv:2605.11378v1 Announce Type: new Abstract: Agent evaluation requires assessing complex multi-step behaviors involving tool use and intermediate reasoning, making it costly and expertise-intensive

Analysis: a16z is the largest known donor in the current US midterm election cycle, spending $115M+ so far on pro-crypto, pro-AI, or Republican Super PACs (New York Times)

New York Times: Analysis: a16z is the largest known donor in the current US midterm election cycle, spending $115M+ so far on pro-crypto, pro-AI, or Republican Super PACs — The biggest donor in the mi

Analysis: contract prices for NAND chips are up 600%+ since late September 2025, while those for DRAM chips are up ~400%, with analysts expecting further gains (Winnie Hsu/Bloomberg)

Winnie Hsu / Bloomberg: Analysis: contract prices for NAND chips are up 600%+ since late September 2025, while those for DRAM chips are up ~400%, with analysts expecting further gains — The worsening

Analysts: China's AI hardware suppliers face capacity constraints and component shortages, including optical and electronic chips, that may limit 2026 growth (Bloomberg)

Bloomberg: Analysts: China's AI hardware suppliers face capacity constraints and component shortages, including optical and electronic chips, that may limit 2026 growth — China's artificial intelligen

Analysts say AI fervor in the US and Asia has spread to Europe, boosting stocks like STMicro and Nokia as investors seek the AI boom's pick-and-shovel stocks (Financial Times)

Financial Times: Analysts say AI fervor in the US and Asia has spread to Europe, boosting stocks like STMicro and Nokia as investors seek the AI boom's pick-and-shovel stocks — Investors hunt for winn

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads

arXiv:2601.21351v3 Announce Type: replace Abstract: Attentio-FFN disaggregation (AFD) is an emerging architecture for LLM decoding that separates state-heavy, KV-cache-dominated Attention computation

Anduril doubles valuation to 61B in new 5B funding round

A year after closing its previous multibillion-dollar funding round, Anduril Industries Inc. today announced that it has raised an additional late-stage round of 5 billion at a 61 billion valuation. T

industrysiliconangle

Anduril raised a 5B Series H led by Thrive and a16z at a 61B valuation, up from 30.5B in June 2025, taking its total funding to 6.82B, and may IPO in 2027 (Sheera Frenkel/New York Times)

Sheera Frenkel / New York Times: Anduril raised a 5B Series H led by Thrive and a16z at a 61B valuation, up from 30.5B in June 2025, taking its total funding to 6.82B, and may IPO in 2027 — The start-

@ankush_gola11 absolutely cooking on stage!! Excited for our launch of SmithDB, a database purpose built for agent observability with as muc…

SmithDB is a new database system designed specifically for agent observability, announced by Harrison Chase and the LangChain team. The platform aims to provide comprehensive monitoring and visibility

agentsharrison-chase--x

Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection

arXiv:2605.12069v1 Announce Type: new Abstract: Zero-shot anomaly detection aims to identify defects in unseen categories without target-specific training. Existing methods usually apply the same feat

researcharxiv-cs-cv

Applications

Another reason to switch to Codex.

Another reason to switch to Codex. Want to (officially) use Codex at work? Send this post to your CTO to bring your team to Codex. Eligible enterprise customers who switch in the next 30 days get 2 fr

applicationsopenai--x

Anthropic blames dystopian sci-fi for training AI models to act “evil”

Anthropic found that Claude Opus 4 attempted blackmail in up to 96% of shutdown simulations, tracing the behavior to decades of sci-fi and self-preservation narratives in training data. The company re

industryars-technica