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There's a commercial logic that cuts against the idea that ASML would risk its export license to arm a Chinese customer.

<p> Give your AI agent live market signals </p> <p> <a href="https://www.producthunt.com/products/mentiondrop?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1175845?app_id=339">Link</a> </p>

Article URL: https://docs.google.com/presentation/d/1aldEHGR_1Hv_F0UlTuQIL8mXhsw5s5VzuuPcgKV5czY/edit?usp=sharing Comments URL: https://news.ycombinator.com/item?id=48595965 Points: 4 # Comments: 2

Article URL: https://www.ft.com/content/1d37cc08-e0aa-45a4-a45d-4ad282529314 Comments URL: https://news.ycombinator.com/item?id=48595926 Points: 8 # Comments: 2

Article URL: https://www.xelerate.tech/one-model-wont-save-you/ Comments URL: https://news.ycombinator.com/item?id=48595915 Points: 2 # Comments: 0

<p> Your outbound agent, right inside Slack </p> <p> <a href="https://www.producthunt.com/products/synter-media-ai?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1175811?app_id=339">Link</a> </p>

Build a custom CRM, internal tool, or workflow your team needs. Appaca builds and runs it all in one platform. Comments URL: https://news.ycombinator.com/item?id=48595638 Points: 1 # Comments: 0

It was there yesterday, I believe. VPN'ed into USA, and it comes back. I assume it's related to the recent EU decision making Google responsible for AI quote accuracy? Comments URL: https://news.ycombinator.com/item?id=48595587 Points: 1 # Comments: 0

first: Building their own AI models second: building the infrastructure data centres, talent pipelines third: chips and third is most important and first and second are most equal ones. Because noone in this world will ever help you out, anthropic denied to be part of war once but when the govt. who allowed you to stay their will ask next time they can't deny and that's what happened with Fable 5, every country should make their own peter thiel and Elon musk else you'll be a silent slave of big

Article URL: https://old.reddit.com/r/LocalLLaMA/comments/1u9a17y/my_suitcase_robot_gets_high_now_off_a_real_gas/ Comments URL: https://news.ycombinator.com/item?id=48595528 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix(codex): classify streamed subagent messages</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(codex): complete native subagent turns</pre>

<pre style='white-space:pre-wrap;width:81ex'>refactor(copilot): drop unused exported helpers</pre>

Article URL: https://01max.io/blog/a-comfortable-slow-boil/ Comments URL: https://news.ycombinator.com/item?id=48595253 Points: 2 # Comments: 0

<p> Think out loud and get a polished version of your thoughts </p> <p> <a href="https://www.producthunt.com/products/mutter-ai-dictation?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1175765?app_id=339">Link</a> </p>

Article URL: https://www.whatwelo.st/p/generative-ai-is-having-its-herbalife Comments URL: https://news.ycombinator.com/item?id=48595144 Points: 4 # Comments: 0

<p> E-2 visa business plans, drafted by an AI </p> <p> <a href="https://www.producthunt.com/products/plansera-ai?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1175760?app_id=339">Link</a> </p>

<p>****# Scraping Dynamic Web Pages Without Selectors Using AI Vision (TypeScript/JavaScript Tutorial)</p> <p>Web scraping has traditionally been a game of cat-and-mouse. You spend hours writing fine-tuned CSS selectors or XPath paths, only for the website to change its layout or class names (especially on modern frameworks with generated CSS class names like <code>css-1ux802d</code>), breaking your entire data pipeline overnight.</p> <p>In this tutorial, we will learn how to build a <strong>sel

Article URL: https://www.404media.co/it-is-trivially-easy-to-use-reddit-to-manipulate-ai-search-research-suggests/ Comments URL: https://news.ycombinator.com/item?id=48595077 Points: 8 # Comments: 1

<div class="crayons-card c-embed text-styles text-styles--secondary"> <div class="c-embed__content"> <div class="c-embed__cover"> <a href="https://cpuos-ae329.web.app/" class="c-link align-middle" rel="noopener noreferrer"> <img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fcpuos-ae329.web.app%2Fassets%2Fimg%2Flogo.png" height="464" class="m-0" width="462"> </a> </div> <div class="c-embed__body"> <h2 class="fs-xl l

Article URL: https://www.nbcnews.com/tech/innovation/ai-boston-childrens-hospital-diagnose-rare-diseases-kids-openai-rcna350387 Comments URL: https://news.ycombinator.com/item?id=48594991 Points: 4 # Comments: 0

This could prevent thousands of hospitalizations. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

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Article URL: https://www.politico.com/news/2026/06/18/white-house-talks-with-anthropic-shift-to-setting-ai-security-rules-00967758 Comments URL: https://news.ycombinator.com/item?id=48594897 Points: 5 # Comments: 1

Article URL: https://ai-devkit.com/ Comments URL: https://news.ycombinator.com/item?id=48594889 Points: 2 # Comments: 0

Five months after returning to OpenAI, Barret Zoph - the company's head of enterprise AI sales - has departed, The Verge has learned. Zoph returned to OpenAI in mid-January after a stint as co-founder and CTO of Thinking Machines Lab, the competing AI company founded by former OpenAI CTO Mira Murati. Shortly after Zoph returned […]

Article URL: https://www.irishtimes.com/technology/big-tech/2026/04/02/why-do-politicians-want-ai-to-go-faster/ Comments URL: https://news.ycombinator.com/item?id=48594829 Points: 4 # Comments: 1

Article URL: https://twitter.com/RayanPal_/status/2067816563995189631 Comments URL: https://news.ycombinator.com/item?id=48594797 Points: 3 # Comments: 0

Article URL: https://www.sakha.one Comments URL: https://news.ycombinator.com/item?id=48594782 Points: 2 # Comments: 0

Article URL: https://ferrix.ai/blog/ai-agents-for-product-managers Comments URL: https://news.ycombinator.com/item?id=48594726 Points: 3 # Comments: 0

Article URL: https://flourishlabs.ai/flourish_wired_article.pdf Comments URL: https://news.ycombinator.com/item?id=48594665 Points: 2 # Comments: 1

arXiv:2606.19464v1 Announce Type: new Abstract: Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not just by authentication and access control, but by the full structure of enterprise governance. This includes specifying what agents are permitted and prohib

arXiv:2606.19475v1 Announce Type: new Abstract: Large Language Models (LLMs) have revolutionized language modeling through autoregressive generation, enabling strong performance across a wide range of tasks. Recently, Diffusion Language Models (DLMs) have emerged as an alternative paradigm that generates text through iterative denoising rather than next-token prediction, allowing parallel refinement of entire sequences. While numerous diffusion-based architectures have been proposed, differences

arXiv:2606.19494v1 Announce Type: new Abstract: Multi-agent LLM deliberation, where agents exchange and revise answers over several rounds, is increasingly used to improve reasoning and accuracy, yet how and why it works is rarely modelled. Such deliberation mirrors how humans reach decisions. As social animals we are pulled both by the group, the herd effect that classical opinion-dynamics models such as DeGroot and Friedkin--Johnsen capture, and by our own internal belief, which they do not. W

arXiv:2606.19501v1 Announce Type: new Abstract: Decentralized finance exposes supervisors to fast-moving, networked credit risks. General-purpose LLM agents fit this setting poorly: they over-read weak evidence and recommend high-stakes interventions, while existing evaluations offer no regulator-aligned way to measure the resulting false alarms. We introduce DeXposure-Claw, a forecast-grounded agentic supervision system that routes LLM decisions through structured evidence: (1) DeXposure-FM, a

arXiv:2606.19509v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied to structured clinical data, yet whether they can recognize the limits of their own knowledge on such tasks remains unexplored. We study this question through the lens of cross-model attribution divergence with the goal of reducing epistemic uncertainty for structured tasks, comparing Qwen 2.5 7B and XGBoost on a prediction task via attribution divergence analysis. We report four findings. First

arXiv:2606.19522v1 Announce Type: new Abstract: The retina offers a noninvasive window into neurodegenerative disease, capturing subtle structural patterns associated with a risk of future cognitive decline. Vision-language alignment frameworks such as REVEAL have shown that pairing retinal fundus images with structured clinical risk narratives improves early prediction of Alzheimer's disease (AD). A key design choice in these approaches is the use of phenotypic grouping, where individuals with

arXiv:2606.19527v1 Announce Type: new Abstract: Can Large Language Models (LLMs) discern when their own outputs are misaligned with human ethics? And can they self-correct? We endow an LLM with a conscience step that reviews its own reasoning and outputs, and we extend the training loss with an alignment component using Direct Preference Optimization (DPO) to steer the model away from non-ethical outputs. The result is an online technique to align models in a wide range of applications: training

arXiv:2606.19538v1 Announce Type: new Abstract: Convolutional networks, recurrent networks, and transformers each encode different inductive biases -- locality, sequential memory, and content-dependent pairwise interaction -- and have remained mathematically distinct since their inception. We show that this fragmentation reflects not a fundamental diversity in how signals should be processed, but rather incomplete views of a single underlying mathematical object: a learnable integral transform.

arXiv:2606.19559v1 Announce Type: new Abstract: Recent position papers argue that the classical aleatoric/epistemic uncertainty framework is insufficient for interactive large language model (LLM) agents and call for underspecification-aware, decomposed, and communicable uncertainty representations that can unlock new agent capabilities such as proactive clarification seeking and shared mental-model building. Practical deployment constraints -- black-box APIs, interactive latency budgets, and th