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arXiv:2602.01903v3 Announce Type: replace Abstract: This work studies online episodic tabular Markov decision processes (MDPs) with known transitions and develops best-of-both-worlds algorithms that achieve refined data-dependent regret bounds in the adversarial regime and variance-dependent regret bounds in the stochastic regime. We quantify MDP complexity using a first-order quantity and several new data-dependent measures for the adversarial regime, including a second-order quantity and a pat

arXiv:2602.02877v2 Announce Type: replace Abstract: This paper studies optimization for a family of problems termed $\textbf{compositional entropic risk minimization}$, in which each data's loss is formulated as a Log-Expectation-Exponential (Log-E-Exp) function. The Log-E-Exp formulation serves as an abstraction of the Log-Sum-Exponential (LogSumExp) function when the explicit summation inside the logarithm is taken over a gigantic number of items and is therefore expensive to evaluate. While e

arXiv:2602.05704v2 Announce Type: replace Abstract: Understanding the limitations of gradient methods, and stochastic gradient descent (SGD) in particular, is a central challenge in learning theory. To that end, a commonly used tool is the Statistical Queries (SQ) framework, which studies performance limits of algorithms based on noisy interaction with the data. However, it is known that the formal connection between the SQ framework and SGD is tenuous: Existing results typically rely on adversa

arXiv:2602.06020v3 Announce Type: replace Abstract: How do protein structure prediction models fold proteins? We investigate this question through causal interventions on the folding trunks of ESMFold, OpenFold, and Boltz-1. Across all three models, we find a shared two-stage computational structure. In the first stage, early blocks initialize pairwise biochemical signals: features like charge propagate from sequence into pairwise representations through architecture-specific pathways. In the se

Article URL: https://github.com/surajkumar811/swarm-test Comments URL: https://news.ycombinator.com/item?id=48668678 Points: 1 # Comments: 0

<p> AI memory that connects the dots across every tool </p> <p> <a href="https://www.producthunt.com/products/second-brain-cloudflare?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/1180472?app_id=339">Link</a> </p>

Article URL: https://www.forbes.com/sites/jamesbroughel/2026/06/22/bernie-sanders-wants-a-us-sovereign-wealth-fund-for-ai/ Comments URL: https://news.ycombinator.com/item?id=48668581 Points: 4 # Comments: 2

Article URL: https://arxiv.org/abs/2604.07709 Comments URL: https://news.ycombinator.com/item?id=48668552 Points: 2 # Comments: 0

Article URL: https://github.com/Tako-Research/TakoQA Comments URL: https://news.ycombinator.com/item?id=48668549 Points: 1 # Comments: 0

<!-- SC_OFF --><div class="md"><p>Hi, </p> <p>I <strong>really really</strong> need access to Xperience-10M for a deadline which is very soon. </p> <p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">https://huggingface.co/datasets/ropedia-ai/xperience-10m</a></p> <p>Unfortunately, it looks like the owners have stopped approving people to download the dataset. I filled out the form a few weeks ago but have heard nothing back. Several others have also commented on the HF saying

The moment i saw the first llm, i knew the future of tech is keyboardless, actually i was trying to get there before gpt but failed. The fact that its 2026 and most of the industry doesn't see this is baffling to me. When both hardware and software giants are innovating in the same direction (neuralink, apple vision, voice models...etc), You all think using a keyboard and a mouse all day is normal for primates - but it's completely unnatural! it's killing us slowly, both physically & socially. L

Article URL: https://blog.tacoda.dev/this-ones-not-ai-992c95537790 Comments URL: https://news.ycombinator.com/item?id=48668240 Points: 2 # Comments: 2

I had been running a small (3 people) software company for about 4 years. Since closing down, I recently hung out at a friend's company to see what they were working on (15 ppl). To preface: I'm a heavy user of Claude (rarely write code by hand), but what I'm seeing in person has been rather shocking to me, and I wanted to calibrate with others. In particular: - the code is not the source of truth anymore; it's ask claude to write, and ask claude to explain - LoC, abstractions, and all those "so

Article URL: https://github.com/leeguooooo/chrome-use Comments URL: https://news.ycombinator.com/item?id=48668131 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): preserve absent embedded session keys</pre>

Article URL: https://tronbrowser.dev/ Comments URL: https://news.ycombinator.com/item?id=48667923 Points: 1 # Comments: 1

A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.

Article URL: https://atkatana.com/blog/hyper-loops-draft.html Comments URL: https://news.ycombinator.com/item?id=48667742 Points: 1 # Comments: 0

<p> Safe agent spend from the terminal </p> <p> <a href="https://www.producthunt.com/products/paybond?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/1180424?app_id=339">Link</a> </p>

A major challenge to what we thought. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

<pre style='white-space:pre-wrap;width:81ex'>fix(cron): preserve enabled-with-defaults failure alert through store roundtrip (fixes #96589) (AI-assisted) (#96615) Summary: - The PR preserves `failure_alert_disabled === 0` as the enabled-with-defaults failure-alert state and adds focused codec roundtrip tests. - PR surface: Source +2, Tests +54. Total +56 across 2 files. - Reproducibility: yes. At source level, current main encodes `failureAlert: {}` with `failure_alert_disabled = 0`, then decode

Article URL: https://github.com/naya-ai/promptctl Comments URL: https://news.ycombinator.com/item?id=48667544 Points: 2 # Comments: 0

Here's how the new Google Home Speaker has fared against the likes of my Apple HomePod Mini and Echo Dot Max so far.

Article URL: https://www.jimmont.com/llm-style-token-costs Comments URL: https://news.ycombinator.com/item?id=48667409 Points: 3 # Comments: 2

Article URL: https://github.com/Kormiloio/Halyard Comments URL: https://news.ycombinator.com/item?id=48667366 Points: 1 # Comments: 0

Save $200 on MSI's Katana 15 HX during Prime Day. It houses an Intel Core i7 CPU, RTX 5060 GPU, and a 165Hz QHD display.

<pre style='white-space:pre-wrap;width:81ex'>fix(agent): emit model.usage diagnostic for HTTP ingress traffic (#96152) * fix(agents): emit model.usage diagnostic for HTTP ingress traffic * fix(agents): emit model.usage diagnostic for HTTP ingress traffic * fix(agent): add regression tests and refactor ingress model.usage diagnostic emission * fix(agent): resolve oxlint curly and no-useless-fallback-in-spread violations</pre>

As ASML CEO Christophe Fouquet told TechCrunch in May, what China can currently buy are older-generation deep ultraviolet tools — gear first shipped about a decade ago — the same machines the MATCH Act would now put off limits.

Article URL: https://www.anildash.com/2026/06/23/fight-ai-platform-war/ Comments URL: https://news.ycombinator.com/item?id=48667112 Points: 3 # Comments: 0

I run AI agents on my laptop and cloud. Often I wish to synchronize the memory markdowns created on multiple platforms. So I built a S3 based durable filesystem which can be mounted anywhere. It is implemented in Rust with SDK in both Python, TypeScript and a CLI for agents. Comments URL: https://news.ycombinator.com/item?id=48667101 Points: 3 # Comments: 1

Most AI pilots focus on capability and speed - and skip the hard work of earning trust from the business.

Anthropic accused Alibaba of running 25,000 fake accounts to pull nearly 29 million conversations out of Claude — then took the evidence to the White House. That was just the opening shot in a week the labs spent at war with everyone, including each other: poaching Google's top Gemini minds, watching their own developer tools get pried open by anonymous strangers, and staring down Europe's August disclosure deadline. The twist? The only companies cleanly printing money this week sell memory and

The AI SDK Harness lets you run established coding-agent runtimes through one unified interface, so you can switch runtimes without changing your application code. Today we're adding two new adapters, Deep Agents and OpenCode, both running inside a Vercel Sandbox. Deep Agents @ai-sdk/harness-deepagents adapts LangChain's deepagents runtime, with built-in file and shell tools, skills, host tools, multi-turn sessions, attach and resume, and built-in tool approvals. Read the Deep Agents harness doc

<pre style='white-space:pre-wrap;width:81ex'>fix(agent): replace self-wait with deferred release in retained-lock abort cleanup (#96100) * fix(agent): wait for retained session write before releasing held lock on abort * fix(agent): replace self-wait with deferred release in retained-lock abort cleanup * fix(test): reject fallback acquire with SessionWriteLockTimeoutError in active-scope cleanup test * fix(agent): trim retained-lock comments Signed-off-by: sallyom <somalley@redhat.com> ---------

Writing is hard, and it's tempting to just let AI do the whole thing So I built an Obsidian plugin that keeps AI in its place Highlight a sentence, get some options, pick the one you like Sharpens your writing instead of automating it Comments URL: https://news.ycombinator.com/item?id=48666943 Points: 4 # Comments: 0

<p> AI COO that runs your team in tools you already use </p> <p> <a href="https://www.producthunt.com/products/cleo-4?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/1180392?app_id=339">Link</a> </p>

<p>On the morning of June 3rd, a customer on a live call sat through 1.4 seconds of dead air after she finished a sentence, long enough that she said "hello?" before the agent answered. I had the trace open in Honeycomb forty seconds later. Every span was green. End-to-end p95 read 980ms, comfortably under our budget, and not one span in that waterfall was longer than 400ms. The dashboard told me everything was fine while the customer was, in fact, talking to silence.</p> <p><strong>TL;DR:</stro

<p>I spent three days last month building a specialized API wrapper for a simple Scikit-learn model. Not because the logic was hard—it wasn't. Because I wanted Cursor to be able to run inference on our churn prediction data without me having to manually copy-paste JSON results into the chat.</p> <p>It is a classic engineering trap: the 'Integration Tax.' You have a working Modelbit workspace, you have your weights deployed, and you have an AI agent that could theoretically use it. But instead of

Article URL: https://www.reuters.com/world/china/anthropic-says-alibaba-illicitly-extracted-claude-ai-model-capabilities-2026-06-24/ Comments URL: https://news.ycombinator.com/item?id=48666781 Points: 8 # Comments: 3

Hello Hacker News. Boris here from Docket (YC P25). Excited to alpha Docket Fleet with the broader community! It's a mobile device cloud (like AWS Device Farm or BrowserStack) built mainly for agentic use cases, and with (much needed) UX improvements for manual interaction (built my own WebRTC to device pipeline). I've spent pretty much all of last year working on autonomous QA agents for web and mobile testing. Earlier this year I realized a lot of devs started building their own agents (qa, rp