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Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents

arXiv:2606.26627v1 Announce Type: cross Abstract: Large language model agents increasingly query databases, search document collections, call external APIs, remember past interactions, and act on a us

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AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

DGX agent

arXiv:2606.26859v1 Announce Type: new Abstract: Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition remai

safetyarxiv-cs-ai

26 Jun 2026

Tutorials

AI code review benchmarks can seem a little mysterious. So @filip_hric breaks it down for us. Here's how to understand precision, recall, an…

tutorialsitamar-friedman--x

This post by Filip Hric explains how to interpret AI code review benchmarks, specifically breaking down key evaluation metrics like precision and recall that are commonly used to assess code review to

AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns

arXiv:2606.27302v1 Announce Type: cross Abstract: AI healthcare chatbots are increasingly used to support health information seeking and self-management, yet their performance and impact on users rema

applicationsarxiv-cs-ai

'AI Is Dumber Than Investors Think — ft. Gary Marcus' Ed Elson is joined by Gary Marcus to discuss why he’s concerned about the fact that we…

'AI Is Dumber Than Investors Think — ft. Gary Marcus' Ed Elson is joined by Gary Marcus to discuss why he’s concerned about the fact that we’re all-in on AI. They explore why he argues generative AI i

AI prompts a memory-chip boom — and electronics inflation. Get used to it.

Even though investors are getting wary of chip stocks, prompting a two-day tech selloff this week, memory-chip maker Micron had a monster quarter and its shares jumped almost 16% Thursday. On top of t

industrysiliconangle

AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing

arXiv:2606.26787v1 Announce Type: cross Abstract: Traditional dynamic pricing models in large-scale e-commerce suffer from limited interpretability, poor utilization of unstructured information, and m

safetyarxiv-cs-ai

[AINews] OpenAI reports median internal Codex output tokens grew 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal since November 2025.

OpenAI reported significant increases in internal Codex token usage across different departments between November 2025 and the reporting period, with Research experiencing the largest growth at 56x, f

applicationslatent-space

Agents

AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs

arXiv:2606.26173v1 Announce Type: new Abstract: Recent work shows that Large Language Models (LLMs) can act as semantic mutation operators for the evolutionary discovery of programs and proofs. Most c

agentsarxiv-cs-ai

Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation

arXiv:2606.26705v1 Announce Type: cross Abstract: Feedforward neural network (NN) expressivity is typically studied by emulating optimal basis-expansion schemes. While powerful, this perspective is in

Also, I am happy to answer questions if people have some.

Sam Altman offered to answer questions from the public on X, indicating an open invitation for audience engagement. This likely represents a moment where Altman made himself available for direct Q&A i

industrysam-altman--x

Although the tech bros and some pharma think AI will cure cancer, Nobel Laureate Jennifer Doudna, inventor of the Crispr gene-editing techno…

Although the tech bros and some pharma think AI will cure cancer, Nobel Laureate Jennifer Doudna, inventor of the Crispr gene-editing technology says that innovation is still really in the domain of h

Always playing checkers and never chess.

Always playing checkers and never chess. President Trump on truth social: any country that imposes a Digital Services Tax on American companies will immediately be met with a 100% tariff on any and al

Amazing 🤩

Amazing 🤩 I don't know what broke in the matrix, but watching John Bolton not only plead guilty to a felony but the specific felony he spent decades depicting as the most egregious -- calling for life

industryelon-musk--x

“America’s preoccupation with “winning” the AI race with China could well lead to unprecedented catastrophes, even catastrophes on a global …

“America’s preoccupation with “winning” the AI race with China could well lead to unprecedented catastrophes, even catastrophes on a global scale. Not all games are zero-sum, and if this fact doesn’t

“An AI future where only a few US companies, subject to the whims of the US government, have frontier AI runs a high risk of dystopian outco…

“An AI future where only a few US companies, subject to the whims of the US government, have frontier AI runs a high risk of dystopian outcomes.” An AI future where only a few US companies, subject to

An Empirical Study of LLM-Generated Specifications for VeriFast

arXiv:2606.26490v1 Announce Type: cross Abstract: Static verification tools can assure industrial scale software, but require significant human labor to write specifications. This is particularly true

Analog chipmaker Onsemi buys Synaptics in $7B all-stock deal to push into physical AI

Arizona-based chipmaker Onsemi today announced plans to acquire the internet of things and computer interface technology firm Synaptics Inc. in a deal valued at around 7 billion. The deal will help On

industrysiliconangle

Analyzing and Encoding the Al-Mawrid Arabic-English Dictionary with the ISO Language Markup Framework and TEI Lex-0

arXiv:2606.18205v2 Announce Type: replace Abstract: This paper presents a robust methodology for the systematic digitization and encoding of the Al-Mawrid Arabic-English dictionary, transforming it fr

researcharxiv-cs-cl

Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

arXiv:2606.26764v1 Announce Type: cross Abstract: Developing robust artificial intelligence models for 4D (3D + time) medical imaging is constrained by limited annotated data, inter-device domain shif

And the balance returned to earth

model-releasesitamar-friedman--x

And the balance returned to earth Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6

Anthropic says the US government is allowing Mythos 5 to be redeployed to critical infrastructure operators, and is working to restore general access to Fable 5 (@anthropicai)

@anthropicai: Anthropic says the US government is allowing Mythos 5 to be redeployed to critical infrastructure operators, and is working to restore general access to Fable 5 — Since June 12, we've be

model-releasestechmeme

Anthropic’s Mythos 5 is back

After a rollercoaster negotiation process with the Trump administration that dragged on for two weeks, Anthropic's Mythos 5 is finally back in action - at least, somewhat, for a select group of organi

industrythe-verge-ai

Anthropic’s Mythos mess is only getting worse

It's been two weeks since Anthropic took its Mythos-class models offline after a Friday evening ultimatum from the Trump administration. The company sprang into action immediately, sending a barrage o

industrythe-verge-ai

Antibiotic 'megacluster' discovery provides new strategy to fight superbugs

Researchers at McMaster University discovered a 'megacluster' of genes in Streptomyces bacteria that produces four antibiotics working together to stop rival bacteria. The four molecules target a sing

industryars-technica

Local Ai

AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification

arXiv:2606.26452v1 Announce Type: new Abstract: To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applicat

local-aiarxiv-cs-cl

Appearance-Preserving Refinement of Generated 3D Assets for Monochromatic Fabrication

arXiv:2606.26850v1 Announce Type: cross Abstract: Recent advances in 3D mesh generation have enabled the creation of visually realistic assets. However, much of their visual fidelity is encoded in tex

applicationsarxiv-cs-cv

Application of LLMs to Threat Assessment of Foreign Peacekeeping Missions

arXiv:2606.27106v1 Announce Type: cross Abstract: We present a novel approach for applying Large Language Models (LLMs) to threat assessment in the context of foreign peacekeeping missions. Building o

Ars Live: What's the latest in the aftermath of the New Glenn catastrophe?

On May 28, 2026, a Blue Origin New Glenn rocket exploded during a static fire test at Cape Canaveral, destroying the vehicle and severely damaging the company's only operational New Glenn launch site.

industryars-technica

As this post points out, contrary to what many say, the US government could absolutely effectively ban open weights models. That doesn’t mea…

applicationsethan-mollick--x

As this post points out, contrary to what many say, the US government could absolutely effectively ban open weights models. That doesn’t mean you won’t be able to download the weights & run them, but

Tools

As token usage explodes, model choice becomes product strategy. Teams are already testing models like GLM-5.2 because they want frontier qua…

As token usage explodes, model choice becomes product strategy. Teams are already testing models like GLM-5.2 because they want frontier quality, better tokenomics, and more control over cost, data, a

toolstogether-ai--x

Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement

arXiv:2606.27226v1 Announce Type: new Abstract: Evaluating LLM outputs remains a major bottleneck in NLP: human evaluation is expensive and slow, lexical metrics correlate poorly with human judgments

Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards

model-releasesarxiv-cs-cv

arXiv:2606.27376v1 Announce Type: new Abstract: Most unified large multimodal models (LMMs) that support both visual understanding and image generation still rely on curated post-training supervision,

asking about profit, not revenue. sorry this was not clear.

Gary Marcus clarifies a distinction between profit and revenue in a discussion, apologizing for previous lack of clarity on this economic/financial concept. The post likely addresses common confusion

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare

arXiv:2606.26104v1 Announce Type: cross Abstract: Animal-welfare advocates produce a lot of writing, and increasingly that writing trains the language models that millions of people then ask about ani

Assessing Post-Reform Changes in Risk Disclosure Quality with a Multidimensional Text Analysis Approach

arXiv:2606.26522v1 Announce Type: new Abstract: While corporate narrative disclosures provide crucial information to capital markets, comprehensively evaluating their qualitative changes over time rem

safetyarxiv-cs-cl

Asymptotically Optimal Learning for Parametric Prophet Inequalities

model-releasesarxiv-cs-lg

arXiv:2606.26893v1 Announce Type: new Abstract: We study learning in prophet inequalities with i.i.d. rewards drawn from an exponential-type parametric family with an unknown parameter heta, a class t

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization

arXiv:2606.26396v1 Announce Type: new Abstract: Pre-trained transformers have demonstrated remarkable generalization abilities, at times extending beyond the scope of their training data. Yet, real-wo

safetyarxiv-cs-lg

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation

arXiv:2606.16325v2 Announce Type: replace Abstract: Few-shot medical image segmentation methods typically assume a single ground-truth annotation, overlooking systematic variability across expert rate

researcharxiv-cs-cv

Attributed, But Not Incremental: Cannibalization-Corrected Attribution for Large-Scale Advertising

arXiv:2606.26690v1 Announce Type: cross Abstract: In large-scale paid acquisition and growth advertising systems, production attribution outputs are widely used for daily budget allocation and channel

applicationsarxiv-cs-lg

Auditing Framing-Sensitive Behavioral Instability in Large Language Models for Mental Health Interactions

arXiv:2606.26982v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly being integrated into mental health support tools and other psychologically sensitive conversational app

Tutorials

Augmentation techniques for video surveillance in the visible and thermal spectral range

arXiv:2606.13042v2 Announce Type: replace Abstract: In intelligent video surveillance, cameras record image sequences during day and night. Commonly, this demands different sensors. To achieve a bette

tutorialsarxiv-cs-ai

auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation

arXiv:2606.26460v1 Announce Type: new Abstract: AI-based scientific automation is increasingly possible by using agents to generate hypotheses, design experiments, and analyze data. Data collection is

Autoformalization of Agent Instructions into Policy-as-Code

arXiv:2606.26649v1 Announce Type: new Abstract: Agent safety in high-stakes domains requires formal policy enforcement, but most existing approaches either rely on probabilistic guardrails (fine-tuned

Automated reproducibility assessments in the social and behavioral sciences using large language models

arXiv:2606.13670v2 Announce Type: replace Abstract: Reproducibility in the social and behavioral sciences is typically evaluated by independent researchers who reanalyze the original data to assess wh

Automating Potential-based Reward Shaping with Vision Language Model Guidance

arXiv:2606.27180v1 Announce Type: cross Abstract: Sparse rewards are inherently challenging for reinforcement learning agents as they lack intermediate feedback to guide exploration and to correctly a

safetyarxiv-cs-ai

Tutorials

Autonomy isn't the ability to act without human supervision. It's the ability to learn without human bottlenecks in the process. A system …

tutorialsfrancois-chollet--x

Autonomy isn't the ability to act without human supervision. It's the ability to *learn* without human bottlenecks in the process. A system that is fully dependent on human training data and RL enviro

Autoregressive Boltzmann Generators

arXiv:2606.27361v1 Announce Type: cross Abstract: Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the dev