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Anchoring What Matters: A Dual-Level Learning Framework for Visually-Grounded Multimodal Reasoning

arXiv:2609.18057v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has significantly improved the reasoning capabilities of large vision-language models (LVLMs). How

safetyarxiv-cs-ai

Content type

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Safety

Andrew Ng says renewed AI extinction warnings are 'much more science fiction than science' and the latest 'wave of PR' is probably intended to shape regulation (Micah Barkley/Bloomberg)

DGX agent

Micah Barkley / Bloomberg: Andrew Ng says renewed AI extinction warnings are “much more science fiction than science” and the latest “wave of PR” is probably intended to shape regulation — Artificial

safetytechmeme

17 Sept 2026

AndroidLife: Can an AI agent survive a day in the life of a real user? Qwen3.8-27b run: 56.7% SR

model-releasesr-localllama

I let AI run my phone 60 real tasks, back to back, on the OnePlus I use every day - Best text model still failed 43% of them - Peak chip temp 98.2 C - 69% of the battery gone The benchmark is AndroidL

Tutorials

Anomaly Detection in General Ledger Data: Results from a Hybrid Approach

arXiv:2609.18228v1 Announce Type: new Abstract: Journal Entry Tests (JETs) are a mandatory part of annual audits to evaluate and assess both highrisk audit areas and potential material misstatements.

tutorialsarxiv-cs-lg

Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models (Yael Grauer/The Verge)

Yael Grauer / The Verge: Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models — Security researche

model-releasestechmeme

Industry

Anthropic details practical metrics to help monitor the speed of AI development

Days after Anthropic PBC Chief Executive Dario Amodei rocked the artificial intelligence world by calling on leading model makers to coordinate on the slowdown on the pace of development, the company

industrysiliconangle

Industry

Anthropic outlines metrics to track AI development at frontier labs: how much AI R&D is done by AI, how well agents are overseen, and how compute is allocated (Anthropic)

Anthropic: Anthropic outlines metrics to track AI development at frontier labs: how much AI R&D is done by AI, how well agents are overseen, and how compute is allocated — AI systems are becoming expo

industrytechmeme

Anthropic redesigns Claude projects, letting users describe work in one conversation and have Claude manage it across parallel threads, starting in Claude Code (Claude)

Claude: Anthropic redesigns Claude projects, letting users describe work in one conversation and have Claude manage it across parallel threads, starting in Claude Code — A new experience for Claude pr

model-releasestechmeme

Anthropic says Claude 'leads' 26% of its AI R&D work, up from 1% in March, and 'collaborates' on 90%+, doing large chunks of work under close human direction (Shirin Ghaffary/Bloomberg)

Shirin Ghaffary / Bloomberg: Anthropic says Claude “leads” 26% of its AI R&D work, up from 1% in March, and “collaborates” on 90%+, doing large chunks of work under close human direction — More than a

model-releasestechmeme

APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study

arXiv:2609.18219v1 Announce Type: cross Abstract: Quantum Reinforcement Learning (QRL) represents policies as variational quantum circuits (VQCs), making it attractive for combinatorial optimization s

safetyarxiv-cs-ai

Approximating High Dimensional Self-Motion Manifolds via Deep Generative Models

arXiv:2609.18169v1 Announce Type: new Abstract: Self-motion manifold (SMM) characterizes the geometric structure of the infinite inverse kinematic solutions set of a redundant manipulator at a fixed e

researcharxiv-cs-ro

Approximation of the Basset force in the Maxey-Riley-Gatignol equations via universal differential equations

arXiv:2604.08194v2 Announce Type: replace Abstract: The Maxey-Riley-Gatignol equations (MaRGE) model the motion of spherical inertial particles in a fluid. They contain the Basset force, an integral t

researcharxiv-cs-lg

Are there any model architecture innovations/breakthroughs that we're looking forward to in the next wave of open model drops?

model-releasesr-localllama

Basically the title. Training models take time and if a model was already in the process of pre-training/RL then it can't be re-cooked with any new architectural improvement that has been discovered i

Ask the Tool, Don't Guess: Agent Tool Calls Hold Their Progress, and the Serving System Should Read It

arXiv:2609.18849v1 Announce Type: cross Abstract: An agentic request spends substantial wall-clock time waiting for tools, and its KV cache holds GPU memory the whole time. Serving systems decide whet

Local Ai

ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions

arXiv:2609.18864v1 Announce Type: cross Abstract: Privacy evaluations of tool-using LLM agents often inspect a designated action, final response, or attacker report. These local proxies can miss unaut

local-aiarxiv-cs-ai

ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference

arXiv:2609.17943v1 Announce Type: cross Abstract: Long-context LLM inference is bottlenecked by attention, whose repeated KV-cache reads make decoding memory-bound. Self-speculative decoding alleviate

researcharxiv-cs-cl

Applications

Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to sup…

Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technol

applicationsopenai--x

Applications

Astra for Law will initially be offered to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. We’ll ma…

Astra for Law will initially be offered to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. We’ll maintain the legal configuration so builders can focus on thei

applicationsopenai--x

Asymptotically Optimal Multi-Robot Task and Motion Planning

arXiv:2609.18813v1 Announce Type: new Abstract: Multi-robot task and motion planning (MR-TAMP) requires jointly reasoning about discrete task decisions and continuous collision-free motions of multipl

researcharxiv-cs-ro

Attention Dispersion as a Diagnostic Signal for Hallucination in Large Language Models

arXiv:2609.18320v1 Announce Type: new Abstract: Large Language Models (LLMs) frequently exhibit hallucinations, presenting a major barrier to reliability in complex reasoning tasks. While traditional

safetyarxiv-cs-cl

Audio for Sports Highlight Detection: A Comparative Empirical Study

model-releasesarxiv-cs-cv

arXiv:2609.17923v1 Announce Type: new Abstract: Sports highlight detection aims to identify the most exciting and meaningful moments from long sports videos. While existing methods often emphasize vis

Local Ai

Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning

arXiv:2609.18952v1 Announce Type: cross Abstract: Early detection of dental caries remains challenging due to limitations in traditional diagnostic methods, particularly for proximal lesions in poster

local-aiarxiv-cs-ai

Autonomy in Check: Governor-Mediated Adaptive Security at the Edge

arXiv:2609.18338v1 Announce Type: cross Abstract: Adaptive security at the network edge increasingly relies on automated planners, including rule-based controllers, learned policies, and LLM-assisted

safetyarxiv-cs-ai

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

arXiv:2609.18123v1 Announce Type: new Abstract: Large language model agents tune GPU kernels and serving engines through a closed loop of propose, measure, and keep, but the measurements behind this l

b11010

vulkan: work around NV bug with argsort_large.comp (#28975) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48059150 macOS/iOS: macOS Apple Silicon (arm64)

b11011

[SYCL] Fix function signature for ggml_backend_sycl_split_buffer_type (#28981) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48082811 macOS/iOS: macOS App

b11012

vulkan: support qwen4exp hc ops (#28988) vulkan: support qwen4exp hc ops fix stale comment [no-ci] Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48109146

b11013

vulkan: fix buffer_reference alignment in im2col shaders (#28996) Both im2col.comp and im2col_3d.comp declare D_ptr without an explicit buffer_reference_align, so glslang emits writes through it as Al

b11015

opencl: fix various warnings (#28984) opencl: fix warnings opencl: fix warnings for non adreno Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48132480 macO

b11016

sycl: ssm_conv: fuse the SiLU epilogue into the ssm_conv kernel (#28929) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48138242 macOS/iOS: macOS Apple Sil

b11017

vulkan: skip unneeded MoE work in mul_mm coopmat1 path (#25483) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48144237 macOS/iOS: macOS Apple Silicon (arm

b11018

sycl : fix the B70 mem allocate error when >19.3GB (#28953) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48150237 macOS/iOS: macOS Apple Silicon (arm64)

b11019

gguf : align the data section relative to the GGUF start, not the file (#28993) gguf : align the data section relative to the GGUF start, not the file gguf_init_from_file_ptr reads a GGUF from the cur

b11020

chat : add message delimiters to the DeepSeek V3.2/V4 parser (#29008) chat : add message delimiters to the DeepSeek V3.2/V4 parser Assisted-by: Claude Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaere

b11022

vulkan: split buffers and debug code into separate files, add shared headers (#28732) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48170206 macOS/iOS: ma

b11024

openvino : Update OpenVINO to 2026.4;fix clangd,MSVC warnings; (#29009) Update to openvino-2026.4 Update OV docs ggml-openvino : fix clangd and MSVC warnings fix int to ptr cast, more internal linkage

b11025

model : extend Nemotron MTP support (#29018) first fix removed unnecessary declarations Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48188464 macOS/iOS:

b11026

model : skip gate_up_exps if TENSOR_SKIP is set (#29014) required for qwen35moe if MTP tensors are fused but not loaded Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/a

b11027

rpc : skip ACCEL devices (#29020) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48232585 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64

b11028

ci : add missing evict-old-files (#29041) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48252257 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silico

Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts

arXiv:2609.18366v1 Announce Type: new Abstract: Reliable agent evaluation is complicated by automatic harness optimization, which repeatedly uses a released benchmark B_{rel} to guide a Proposer that

BadQubits: An LLM-Based Framework for Static Pre-Execution Detection of Structurally Harmful Quantum Circuits

arXiv:2609.18965v1 Announce Type: cross Abstract: This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally harmful OpenQASM 2.0 circuits. The framework

Banger release from NVIDIA. They just published a report on NeMo Data Designer, their open-source synthetic data tool. It's a declarative co…

Banger release from NVIDIA. They just published a report on NeMo Data Designer, their open-source synthetic data tool. It's a declarative config which makes a synthetic data pipeline easy to review, s

model-releasesdair-ai--x

Bayesian Quadrature

arXiv:2602.16218v2 Announce Type: replace Abstract: Bayesian quadrature is a probabilistic, model-based approach to numerical integration, the estimation of intractable integrals, or expectations. Alt

researcharxiv-cs-lg

Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain?

Hey everyone! I'm a beginner getting into local LLMs, and so far I'm familiar with Ollama. I've used it to download and run models locally, but I'm starting to see a lot of other tools being mentioned

model-releasesr-ollama

Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors

model-releasesarxiv-cs-cl

arXiv:2609.18203v1 Announce Type: new Abstract: Human values are deep motivational orientations that shape human behaviors. In e-commerce, they reveal the stable drivers behind users' purchase decisio

Behavioral Fingerprinting and Navigation Prediction in Web Browsing

arXiv:2609.18273v1 Announce Type: new Abstract: Web browsing often appears ephemeral: users visit a few websites, complete a task, and move on. However, even short fragments of browsing activity can c

researcharxiv-cs-lg

BENCHCOMPASS: From Scores to Signals for Training and Harness Decisions in Payment-Domain LLMs

arXiv:2609.18270v1 Announce Type: new Abstract: Payment operations are a critical financial infrastructure, but the value of large language models in this domain remains unclear because payment rules