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ActiveGraph: 1 month in: 📄Paper #1: The Log is the Agent 🧠3 LongMemEval Experiments 🔄 Paper #2: Regimes, self-improvement loop 🎓 http://learn.activegraph.ai 🗂️ 2 reference agents (code, research) 💾 co

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Model Releases

AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents

DGX agent

arXiv:2602.14257v2 Announce Type: replace-cross Abstract: While Large Language Model (LLM) agents have made remarkable progress on complex reasoning, evaluating them in real-world environments remains

model-releasesarxiv-cs-lg

23 Jun 2026

Adam Converges in Nonsmooth Nonconvex Optimization

arXiv:2606.22326v1 Announce Type: cross Abstract: Adam is one of the most widely implemented and influential modern optimizers. Why is it effective across different optimization problems in practice?

Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer

arXiv:2511.06675v2 Announce Type: replace-cross Abstract: Beside the standard stochastic gradient descent (SGD) method, the Adam optimizer due to Kingma & Ba (2014) is currently probably the best-know

AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification

arXiv:2606.21757v1 Announce Type: new Abstract: We present AdaPrivate-TS, a differentially private contextual bandit algorithm that combines Thompson Sampling with batched zCDP composition. Our key in

Adaptive Beam Selection for Efficient Scanning Probe Tomography

arXiv:2606.21713v1 Announce Type: cross Abstract: In X-ray tomography, reconstruction quality generally improves with larger numbers of projections. However, more projections increase experiment costs

Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving

arXiv:2606.23359v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) provide an effective way to solve partial differential equations (PDEs) by embedding physical principles into t

Tutorials

Adaptive Recurrent Message Passing for Test Time Computing on Graphs

arXiv:2606.22462v1 Announce Type: new Abstract: Pre-trained foundation models have demonstrated remarkable success in many domains, enabling a unified backbone to generalize across diverse downstream

tutorialsarxiv-cs-lg

Local Ai

AdaReP:Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control

arXiv:2606.23079v1 Announce Type: new Abstract: Neural world models coupled with model predictive control (MPC) replan at every environment step to bound accumulated prediction error, but this incurs

local-aiarxiv-cs-ro

Adversarial Bandit Optimization with Globally Bounded Perturbations to Convex Losses

arXiv:2606.19891v2 Announce Type: replace Abstract: We study adversarial bandit optimization in which the loss functions may be non-convex and non-smooth. In each round, the learner selects an action

Tutorials

Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization

arXiv:2606.21736v1 Announce Type: new Abstract: Single domain generalization (SDG) aims to learn a robust model, which could perform well on many unseen domains while there is only one single domain a

tutorialsarxiv-cs-cv

Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning

arXiv:2606.20880v1 Announce Type: cross Abstract: Decision-making under partial or adversarial observability requires accurate inference of the environment's latent state and its associated uncertaint

safetyarxiv-cs-lg

AEF-Econ: Toward Plug-and-Play Socioeconomic Foundation Embeddings from AlphaEarth for Urban Remote Sensing

model-releasesarxiv-cs-cv

arXiv:2606.20697v1 Announce Type: new Abstract: AlphaEarth Foundations (AEF) unify global remote sensing foundation embeddings through multimodal self-supervised learning, but their pretraining focuse

Again: data never stays secure and mass surveillance and data harvesting will always be a liability

Gary Marcus argues that data security is fundamentally fragile and that mass surveillance and data harvesting practices create persistent security vulnerabilities that cannot be eliminated. The post e

Agentic Time Machine as an Infrastructure for Future-Event Forecasting

arXiv:2606.21013v1 Announce Type: cross Abstract: Forecasting future events is a critical challenge for large language model (LLM) agents, spanning domains from elections and monetary policy to financ

safetyarxiv-cs-lg

AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents

arXiv:2506.04018v3 Announce Type: replace-cross Abstract: As Large Language Model (LLM) agents become more widespread, associated misalignment risks increase. While prior research has studied agents'

AgroSense 2.0: Cross-Modal Transformer Fusion with Geospatial Raster Integration and Interpretable Multi-Task Learning for Precision Crop Recommendation

arXiv:2606.21892v1 Announce Type: cross Abstract: Crop recommendation systems in precision agriculture have long suffered from a fundamental modality gap: visual soil characterization and chemical nut

AI Agents Can Already Autonomously Perform Experimental High Energy Physics

arXiv:2603.20179v3 Announce Type: replace-cross Abstract: Large language model-based AI agents are now able to autonomously execute substantial portions of a high energy physics (HEP) analysis pipelin

AI-Augmented Thyroid Scintigraphy for Robust Classification of Disease

arXiv:2503.00366v3 Announce Type: replace-cross Abstract: Thyroid scintigraphy is vital for diagnosing thyroid disorders, yet deep learning (DL) models in this domain often struggle with limited, imba

AI Capex pushback from GS: 'If frontier intelligence can increasingly be developed in the East at a fraction of the cost incurred in the Wes…

AI Capex pushback from GS: 'If frontier intelligence can increasingly be developed in the East at a fraction of the cost incurred in the West … then the largest capital allocators are also the ones mo

AI data centres are hungry for land, water & power. I’m calling on every major AI company to publicly disclose the full environmental impact…

AI data centres are hungry for land, water & power. I’m calling on every major AI company to publicly disclose the full environmental impact of its systems – as a matter of transparency No more hidden

AI in 2040 will not be built on the stack we are using today. It will be much closer to optimal. The current stack has 3-4 orders of magnitu…

researchfrancois-chollet--x

AI in 2040 will not be built on the stack we are using today. It will be much closer to optimal. The current stack has 3-4 orders of magnitude of data inefficiency and 4-5 orders of magnitude of compu

Tools

[AINews] SpaceX is already a $28B/yr Neocloud

This article analyzes SpaceX's valuation and business model through the lens of AI infrastructure, arguing that SpaceX functions as a 'Neocloud' (a next-generation cloud computing platform) generating

toolslatent-space

Agents

AIR: Adaptive Interleaved Reasoning with Code in MLLMs

arXiv:2606.23678v1 Announce Type: new Abstract: Following the paradigm shift initiated by OpenAI o3, interleaved reasoning with code to enhance multimodal large language models (MLLMs) has become a pi

agentsarxiv-cs-cv

Industry

Alex Bores, a NY congressional candidate who argued for AI safeguards, lost to Micah Lasher in the Democratic primary, which drew millions in AI PAC spending (Ben Kamisar/NBC News)

Ben Kamisar / NBC News: Alex Bores, a NY congressional candidate who argued for AI safeguards, lost to Micah Lasher in the Democratic primary, which drew millions in AI PAC spending — NBC News project

industrytechmeme

Industry

Alibaba sues the DOD, seeking removal from a blacklist of companies supporting China's military, says the decision is a violation of constitutional due process (Bloomberg)

Bloomberg: Alibaba sues the DOD, seeking removal from a blacklist of companies supporting China's military, says the decision is a violation of constitutional due process — Alibaba Group Holding Ltd.

industrytechmeme

Aligning AI-driven discovery with human intuition

arXiv:2410.07397v2 Announce Type: replace Abstract: As data-driven modeling of physical dynamical systems becomes more prevalent, a new challenge is emerging: making these models more compatible and a

Hardware

All DOGE required was contact information of the recipients to confirm that funding was not fraudulent. No validated medical funding was sto…

All DOGE required was contact information of the recipients to confirm that funding was not fraudulent. No validated medical funding was stopped. Anything that appeared to be legitimate lifesaving fun

hardwareelon-musk--x

All Green, Still Broken: Real-Flow Verification Lessons from an LLM-Integrated, Multi-Market Web Application

arXiv:2606.22475v1 Announce Type: cross Abstract: Modern web applications increasingly combine three ingredients that are hard to test: output from large language models, multi-market internationaliza

All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming…

applicationsethan-mollick--x

All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming in the next 6-12ish months (assuming China allows it) The l

All Routes Lead to Collapse

arXiv:2606.22325v1 Announce Type: new Abstract: Attention sinks, representation collapse, and norm stratification are treated as transformer-specific pathologies. We show they are not specific to atte

“All the Money Flooding Into AI Is a Giant Warning Sign” “The deeply depressing third possibility is that companies are raising and spending…

applicationsgary-marcus--x

“All the Money Flooding Into AI Is a Giant Warning Sign” “The deeply depressing third possibility is that companies are raising and spending so much merely because shareholders are cheering them on, a

ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training

arXiv:2602.12691v3 Announce Type: replace Abstract: We study how to improve large foundation vision-language-action (VLA) systems through human-in-the-loop reinforcement learning (RL) in real-world en

safetyarxiv-cs-ro

Agents

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents

arXiv:2606.20625v1 Announce Type: cross Abstract: LLM agents are promising for alpha mining via combining financial priors, symbolic reasoning, executable factor generation, and feedback-driven refine

agentsarxiv-cs-lg

Industry

AlpSemi raises $19.5M to make semiconducting power switches for AI data centers

French semiconductor startup AlpSemi SAS today announced that it has raised €17 million, or about 19.5 million, in funding. The investment was led by Paris-based private equity firm Yotta Capital. Nas

industrysiliconangle

Although I supported Musk in his suit against OpenAI, and admire what he did for electric cars, I am afraid my considered overall view is no…

Although I supported Musk in his suit against OpenAI, and admire what he did for electric cars, I am afraid my considered overall view is not very different from this: Candidly I have no idea why anyo

An agentic loop (compile, test, profile, revise) helps. Gemini 3 Pro went from 24 to 35/87 correct, then plateaued after ~20 steps. Feedback…

model-releasestogether-ai--x

An agentic loop (compile, test, profile, revise) helps. Gemini 3 Pro went from 24 to 35/87 correct, then plateaued after ~20 steps. Feedback fixes syntax, not rank coordination, collective ordering, o

Hardware

An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance

arXiv:2606.22218v1 Announce Type: cross Abstract: In this paper, we investigate untrained recurrent models from the Reservoir Computing (RC) paradigm for audio surveillance, focusing on bidirectional

hardwarearxiv-cs-lg

An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion

arXiv:2606.20738v1 Announce Type: new Abstract: This article presents a complementary approach for integrating multimodal medical data in cancer classification, based on state space models represented

An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment

arXiv:2509.03372v3 Announce Type: replace-cross Abstract: A recent line of research on automated speaking assessment (ASA) has benefited from self-supervised learning (SSL) representations, which capt

An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning

arXiv:2606.21072v1 Announce Type: new Abstract: Traffic prediction is a core task in intelligent transportation systems and urban-scale decision making. Despite the effectiveness of mainstream neural-

An Empirical Study of OpenPangu Quantization on Ascend NPUs

arXiv:2606.21257v1 Announce Type: new Abstract: OpenPangu models are attractive targets for private and domestic large-language-model deployment, yet their robustness under aggressive post-training qu

Hardware

An interview with Nvidia VP of Healthcare Kimberly Powell on how AI can ease doctors' workloads, help address trained medical staff shortages, and more (Cristina Criddle/Financial Times)

Cristina Criddle / Financial Times: An interview with Nvidia VP of Healthcare Kimberly Powell on how AI can ease doctors' workloads, help address trained medical staff shortages, and more — The chipma

hardwaretechmeme

An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score

arXiv:2603.05544v2 Announce Type: replace-cross Abstract: Proper scoring rules are essential for evaluating probabilistic forecasts. We propose a simple algebraic rearrangement of the Yates covariance

An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving

arXiv:2606.20640v1 Announce Type: cross Abstract: Autonomous vehicles offer the potential for safer and more efficient mobility, yet public trust remains limited due to the lack of transparency in the

safetyarxiv-cs-lg

Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms

arXiv:2606.20617v1 Announce Type: cross Abstract: Student attrition represents a significant challenge for higher education institutions because it impacts both academic results and financial viabilit

Local Ai

Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors

arXiv:2606.21177v1 Announce Type: cross Abstract: Segmenting the temporomandibular joint (TMJ) disc from MRI is essential for accurate diagnosis of internal derangement, yet it remains unreliable in p

local-aiarxiv-cs-cv

And here are some fantasy maps and diagrams.

applicationsethan-mollick--x

This post likely showcases a collection of fantasy maps and diagrams, possibly illustrating world-building elements, geographic layouts, or visual designs from fantasy works or fan creations. The cont