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Article URL: https://read.misalignedmag.com/holding-the-industry-accountable-the-ai-resist-list-comes-to-london-6438375b30ca?postPublishedType=repub Comments URL: https://news.ycombinator.com/item?id=48844053 Points: 1 # Comments: 1

<pre style='white-space:pre-wrap;width:81ex'>test(infra): stabilize session cost stream errors (#102704) Co-authored-by: Agent Jack <jack@thecaselygroup.com></pre>

<pre style='white-space:pre-wrap;width:81ex'>improve(ui): calmer sessions roster with dot status and drawer-level runtime (#102664) Feedback pass on the sessions redesign: status pills become a plain colored dot + label (green pulse for live, green dot with neutral label for done, muted idle, red failed) in both the roster and the drawer hero, and the Runtime column moves out of the table into the row drawer as Runtime (agent runtime) plus Run duration. Runtime stays searchable. Responsive break

As Claude Code, Codex, and other AI coding agents take up more and more of our daily work, I've noticed that I now spend most of my time writing specs, nailing down requirements, and talking to the agent, rather than actually poring over the details of the code. Today, for some totally random reason, it suddenly hit me that I haven't opened Stack Overflow in a very, very long time, at least half a year. And that gives me a strange sense of loss. I used to open it almost every single day. It was

<pre style='white-space:pre-wrap;width:81ex'>feat(android): add Skill Workshop settings panel (#101911) * feat(android): add Skill Workshop settings * fix(android): scope Skill Workshop state by agent * fix(android): confirm Skill Workshop proposal actions * fix(android): strengthen Skill Workshop action proof gates * fix(android): satisfy Skill Workshop action ktlint * fix(android): serialize Skill Workshop lifecycle actions * chore(android): refresh native i18n inventory --------- Co-authored-

<h1> Python Operators: A Complete Beginner's Guide (Arithmetic, Comparison, Logical & More) </h1> <h2> Introduction </h2> <p>Operators are one of the most fundamental concepts in Python. They allow you to perform calculations, compare values, make decisions, and manipulate data efficiently. Whether you're building a calculator, analyzing data with Pandas, or developing AI applications, you'll use operators in almost every Python program.</p> <p>In this blog, we'll explore all the major types of

Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at $1.28 per task versus $1.94. The company plans to roll it out as a daily coding workhorse. Its broader takeaway: no single provider dominates, and companies should build their own benchmarks instead of relying on public ones. The article Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at

Article URL: https://github.com/RubenGlez/langdrift Comments URL: https://news.ycombinator.com/item?id=48843916 Points: 2 # Comments: 0

<p>There is a quiet consensus forming about how to make an AI agent's output trustworthy: make it reproducible. Pin the inputs. Hash the pipeline. Anchor the hash somewhere tamper-evident. Then anyone can re-run the exact steps on the exact bytes and land on the exact same answer. If the numbers match, the result stands.</p> <p>This is real progress, and I am not trying to talk anyone out of it. Reproducibility is the whole distance between "trust me" and "here, run it yourself." But it answers

<h2> The Trap of the Single Prompt </h2> <p>Most developers start their AI journey by building a 'wrapper'. You take a user input, wrap it in a system prompt, send it to an LLM, and return the result. If the result is wrong, you try to 'prompt engineer' your way out of it by adding more instructions to that single prompt.</p> <p>This is a dead end. No matter how good your prompt is, LLMs struggle with complex tasks in a single pass. They hallucinate, they skip steps, and they fail to double chec

Because of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on television. These models have minimal access to the unscripted conversations we have face to face or voice to voice. This is the vast majority of speech, and a vital component of human culture. There’s a risk to this. The increased use of large language models means we humans will

<p>Will AI change how we engage with nuclear weapons?</p>

<p>Nearly seven in ten middle and high school students now say they believe artificial intelligence is eroding their critical thinking skills. They reported this in a December 2025 survey conducted by the RAND Corporation's American Youth Panel. They also reported, in the very same survey, that they are using AI for homework more than ever before, with usage climbing from 48 per cent to 62 per cent in barely seven months. The students, in other words, can see the problem clearly. They simply can

Thousands of new fossil-fuel power sources are quietly firing up across the state to power the AI boom, thanks to a regulatory loophole, leaving residents feeling blindsided.

<p>AI’s most persistent failures aren’t caused by algorithms, datasets, or even governance. They come from something far more fundamental: a missing architectural layer that should sit beneath every system we build. We talk endlessly about ethics, safety, and regulation, but almost never about the structural scaffolding that makes any of those possible. This unbuilt layer — the connective tissue between intent, execution, and assurance — is the quiet reason AI keeps breaking in predictable ways.

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): emit model.failover diagnostic on normal model fallback transitions (#102051) * [AI] fix(agents): emit model.failover diagnostic on normal model fallback transitions Restructure observeFailedCandidate to emit the existing model.failover diagnostic event for candidate run failures when an actual next fallback candidate exists. Previously emitFailoverEvent was only called in the cooldown lane-suspension branch. Normal fallback transitions o

thankscarbon.com/asker Comments URL: https://news.ycombinator.com/item?id=48843782 Points: 1 # Comments: 0

Article URL: https://www.reuters.com/legal/government/spacex-ai-startup-wealth-fuels-demand-private-jets-2026-07-09/ Comments URL: https://news.ycombinator.com/item?id=48843778 Points: 2 # Comments: 0

<p> Publish content from Claude to your website and socials </p> <p> <a href="https://www.producthunt.com/products/storychief-io?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/1191975?app_id=339">Link</a> </p>

Article URL: https://quesma.com/blog/the-true-cost-of-saying-hi-to-an-ai-agent/ Comments URL: https://news.ycombinator.com/item?id=48843758 Points: 6 # Comments: 0

<p>Liquid syntax error: Unknown tag 'endraw'</p>

Article URL: https://github.com/Alradyin/wallie-V2 Comments URL: https://news.ycombinator.com/item?id=48843648 Points: 1 # Comments: 0

Article URL: https://github.com/gaemi/agentic-fc Comments URL: https://news.ycombinator.com/item?id=48843641 Points: 1 # Comments: 0

<p>⎊ EGREGOR v1.1</p> <p>⚡ The Truth Big AI Companies Don’t Want You To Know<br> Every single time you type a prompt into ChatGPT, Claude, or Gemini, you are feeding them your life’s work. Your proprietary business models, your unreleased code, your trading strategies, your legal contracts—all of it becomes their permanent property, stored forever to train their next model.</p> <p>Egregor flips the table:</p> <p>🔒 Your entire project is created locally and stays inside Egregor on YOUR computer.

Article URL: https://github.com/i18n-agent/i18nstack Comments URL: https://news.ycombinator.com/item?id=48843558 Points: 1 # Comments: 0

Article URL: https://gptzero.me/news/investigations-kpmg/ Comments URL: https://news.ycombinator.com/item?id=48843532 Points: 1 # Comments: 0

Article URL: https://author2vec.com/jlens Comments URL: https://news.ycombinator.com/item?id=48843521 Points: 1 # Comments: 0

NHTSA administrator Jonathan Morris called reports that self-driving cars had driven into emergency scenes and blocked ambulances and firefighters “unacceptable.”

Article URL: https://sitespeak.ai/research/ai-readiness-report-2026 Comments URL: https://news.ycombinator.com/item?id=48843475 Points: 2 # Comments: 3

Check it out guys! its opensourced Comments URL: https://news.ycombinator.com/item?id=48843471 Points: 2 # Comments: 0

Any public Instagram account is fair game to be used for AI generation with Meta's new Muse Image.

I find that the latest SOTA modals blatantly ignore some of my instructions or requests, sometimes even after mentioning or requesting it multiple times? I suspect its a consequence of the creators of these's drive for autonomous and completely agentic workflow without human in the loop? I prefer to pair-program and not leave everything to the agent, and this is why I noticed it (or at least feels like its happening). Comments URL: https://news.ycombinator.com/item?id=48843420 Points: 1 # Commen

Do you know which new Instagram features change how your content gets discovered and who it reaches? Wondering how Reels could do more for your business? In this article, you’ll discover four new Instagram features that could reshape your marketing. #1: Instagram Plus Subscription and Stories Features Instagram has launched Instagram Plus, a $3.99/month optional […] The post Instagram Plus Stories Features, User-Controlled Algorithms, and Episodic Reels: What Marketers Need to Know appeared firs

The truth behind the viral 'Barbie drug'. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Details about the OpenAI Bio Bounty program

Several NHS hospitals are preparing to use an AI-powered blood test to help assess women referred for possible womb cancer before invasive checks are carried out. According to The Guardian, around 90,000 postmenopausal women in England are referred by GPs each year for checks after experiencing heavy bleeding. About 10,000 women are diagnosed with womb […] The post NHS AI blood test could reduce invasive womb cancer checks appeared first on AI News .

ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.

More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.

At the AtCoder World Tour Finals 2026, an OpenAI system crushed all human competitors in an exhibition match, solving all five problems in the Algorithm Division. Two of those problems were rated exceptionally difficult by observers. The article OpenAI's AI beats every human at AtCoder, a top competitive programming contest appeared first on The Decoder .