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Hacker News: Show HN

Show HN: I turned my quote collection into a walkable 3D library (desktop-only)

Since 2017, each time I finish a book I save a single quote from it. I like revisiting them sometimes, for example at the end of the year or just. This collection is available as plain text on my website. So I thought it may be fun to ask the agents to port this into a 3D library where I can actually walk around and pick up the books, and I think it sort of worked! I'm not sure this is that interesting for people other than me – those are my books! – but I just find it really cool that you can j

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The Robot ReportRobotics

Are suppliers ready for new robot safety standards?

Suppliers that are well prepared for standard changes will benefit, while underprepared companies may face market access disruption. The post Are suppliers ready for new robot safety standards? appeared first on The Robot Report .

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Are suppliers ready for new robot safety standards?
The Verge

ICE are heavily armed killers. They’re also huge losers

Donald Trump's Homeland Security regime has been at the center of two critical stories in the past two weeks. In the first, federal agents shot and killed a man and quickly got to work justifying the use of force under the flimsiest of pretenses. In the other, it made house calls to people who said […]

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ICE are heavily armed killers. They’re also huge losers
Towards Data Science - Medium

That Is Embarrassing: Why Frontier AI Still Makes Things Up, and What to Do About It

The best AI models still hallucinate. These hallucinations are sometimes funny, and sometimes cause actual damage. In this post we will consider recent tales of AI hallucinations, and then look under the hood to understand why they happen. The post That Is Embarrassing: Why Frontier AI Still Makes Things Up, and What to Do About It appeared first on Towards Data Science .

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Hacker News Ask

Ask HN: What are some of the use-cases of the frontier models's max mode?

Recently ChatGPT released an Ultra mode, it's "highest-capability setting, coordinating multiple agents across parallel workstreams to finish complex tasks faster" on their latest flagship product Sol of GPT-5.6. Similarly, Claude Fable also has an Ultra setting. I wonder what are primary workflows or use-cases this maximised modes are used for currently? In my average software development experience, I never had a need to go beyond the max mode or beyond Opus for example. Even in specific workf

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Dev.to

Integrating Lambda Durable Functions into a Step Functions Workflow

<p>At re:Invent 2025, AWS <a href="https://aws.amazon.com/about-aws/whats-new/2025/12/lambda-durable-multi-step-applications-ai-workflows/" rel="noopener noreferrer">announced Lambda Durable Functions</a>. The feature introduces a <strong>checkpoint/replay mechanism</strong> that allows Lambda executions to run for up to one year, automatically recovering from interruptions by replaying from the last checkpoint.</p> <p>Lambda's 15-minute timeout is not a bug or a limitation to work around. It is

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OpenClaw Commits

fix(agents): truncate multibyte middleware details at byte limit (#10…

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): truncate multibyte middleware details at byte limit (#104156) * fix(agents): bound multibyte middleware details by bytes * refactor(agents): bound middleware detail byte sizing --------- Co-authored-by: Peter Steinberger <steipete@gmail.com></pre>

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The Robot ReportRobotics

Why robotics teams need virtual gyms before deployment

To address environmental and task variability, robots can benefit from 'virtual gyms' to bridge the sim-to-real gap, says SoftServe. The post Why robotics teams need virtual gyms before deployment appeared first on The Robot Report .

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Why robotics teams need virtual gyms before deployment
Dev.to

GDPR retention and erasure for an agent mailbox

<p>Most "AI email" demos never think about deletion. The agent reads, replies, files things away, and the inbox just grows. That's fine in a demo. It is a problem the first time a real person emails your agent, because the moment that mailbox holds someone else's name, address, order history, or support complaint, you've taken on a data-protection obligation — and "we kept everything forever" is not a defensible retention policy.</p> <p>An <strong>Agent Account</strong> on Nylas accumulates pers

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Dev.to

Keep your agent's mail out of spam traps

<p>Spam traps are the failure mode nobody puts in the demo. A bounce is loud — you get a <code>5.x.x</code> back, your code logs it, you move on. A complaint at least gives you a webhook. A spam trap gives you <em>nothing</em>. The message gets accepted, no error comes back, and somewhere a mailbox provider quietly writes your domain down as a spammer. By the time you notice, your inbox placement has already cratered and you have no single bounce to point at.</p> <p>That's the trap, literally. A

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Dev.to

I built an AI code reviewer with 6 parallel agents. Here’s the architecture, warts and all.

<p>Six months ago I got fed up with my AI code review tool.</p> <p>Two problems.</p> <ul> <li>It charged roughly <strong>3.5× the raw OpenAI API cost</strong> while pretending that wasn't happening.</li> <li>It kept flagging phantom SQL injection in a codebase that literally had <strong>no SQL</strong>, while completely missing a real authorization bypass in the same pull request.</li> </ul> <p>That combination broke my trust.</p> <p>So I cancelled my subscription and started building my own.</p

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Dev.to

I Analyzed 4,788 AI Coding Sessions — Here's Where Your Tokens Actually Go

<p>Last month I started tracking every command I ran through Claude Code, Cursor, and Aider. After 4,788 commands and 355 million tokens, I found something shocking:</p> <p>97.6% of my tokens were wasted on noise.</p> <p>Not on actual coding. Not on debugging. On repetitive test output, build logs, and progress bars that the AI didn't need to see.</p> <p>THE NUMBERS</p> <p>Commands tracked: 4,788<br> Total tokens processed: 355,785,039<br> Tokens that were actual content: 8,694,751<br> Tokens th

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OpenClaw Commits

fix(agents): keep CLI terminal-reason classification non-throwing

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): keep CLI terminal-reason classification non-throwing Run errors can expose hostile getters; classification must not replace the original failure or suppress its terminal event. Matches the containment contract of isProviderTimeoutError in the same module.</pre>

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OpenClaw Commits

refactor(agents): converge CLI tool terminal reason onto run-termination

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): converge CLI tool terminal reason onto run-termination One shared resolveCliToolTerminalReason owns the timed_out/cancelled/failed decision for one-shot and live CLI runners; abort-signal lifecycle fields are authoritative, error shape is the fallback. Deletes both local derivations. Fixes live-path drift where a timeout abort delivered as a generic AbortError was reported as cancelled instead of timed_out. Part of #104219 (seam 3).<

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Hacker News: Show HN

Show HN: Andurel Web Framework Releases v1.0.0

For close to a year now I have been exploring what a rails-like framework in Go could look like, from my perspective. This has resulted in a very opinionated set of tools, architecture and agent-friendly CLI that I believes will make building fast and secure web apps in Go a much better experience. Omakase as DHH would say. Check it out and let me know what you think and please open an issue if you have feature requests or find any bugs! Comments URL: https://news.ycombinator.com/item?id=4887121

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Hacker News LLMLLMs

Karpathy LLM Wiki (Obsidian Plugin)

Article URL: https://llmwiki.greenerai.top/ Comments URL: https://news.ycombinator.com/item?id=48871007 Points: 1 # Comments: 0

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Hacker News LLMLLMs

Soofi: European sovereign LLM trained in 2 months

Article URL: https://huggingface.co/spaces/Soofi-Project/Pretraining-Tech-Report Comments URL: https://news.ycombinator.com/item?id=48870978 Points: 8 # Comments: 5

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The Guardian AIBusiness

Datacentres drive up big tech’s carbon emissions to a third of those of France

<p>Microsoft, Amazon and Google say they still aim to achieve net zero output despite construction boom</p><p>Microsoft, Amazon and Google’s collective <a href="https://www.theguardian.com/technology/2026/jul/06/ai-climate-crisis">carbon emissions</a> have increased by nearly a fifth in the past year, driven largely by datacentre construction.</p><p>In the financial year ending March 2026, the three tech companies emitted 119m mTCO₂e (metric tonnes of carbon dioxide equivalent), or about a third

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Datacentres drive up big tech’s carbon emissions to a third of those of France
The Guardian AIBusiness

AI ‘actor’ Tilly Norwood has a movie coming out. Spare us this future | Dave Schilling

<p>Acting is about human connection across cultural and social divides. But we can’t expect much of that in the ‘Tillyverse’</p><p>Rejoice, cinema lovers. Tilly Norwood is back! Not familiar? I don’t blame you, as she’s not exactly a household name yet – though a fleet of well-fed publicists is certainly trying to rectify that. Tilly Norwood is an “AI actor”, as in, an actor that’s not actually an actor at all. Just a series of digital blobs and lines of code designed to resemble a young woman i

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AI ‘actor’ Tilly Norwood has a movie coming out. Spare us this future | Dave Schilling
The Guardian AIBusiness

Safe from AI: which jobs will help you thrive in the future?

<p>Experts say there will still be opportunities ahead in everything from teaching to hotels and the law</p><p>Entering the world of work often brings some uncertainty, but now there is another question: how can I AI-proof my career?</p><p>We asked people from across various industries what they think the impact of AI will be on careers, and which jobs may be less affected. While it is still early days for the tech, many had ideas about how you can best prepare yourself for a successful career i

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Safe from AI: which jobs will help you thrive in the future?
Hacker News: Show HN

Show HN: Colyap – AI friend you can call and text

call it, text it. connect your apps. go crazy. it's got long running tasks. it remembers everything about you. journal your life. it tries to understand what you want. no registration needed. BYOK. it gets better with time. go yap! handled 20,000+ minutes of conversations and 10,000+ texts a day. built to scale with you. Comments URL: https://news.ycombinator.com/item?id=48870794 Points: 3 # Comments: 1

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Hacker News: Show HN

Show HN: AI Agent Audit for Free

Article URL: https://github.com/sinewaveai/agent-security-scanner-mcp Comments URL: https://news.ycombinator.com/item?id=48870646 Points: 1 # Comments: 0

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Hacker News AILLMs

A font that humans can read but AI cannot

Article URL: https://www.mixfont.com/ghost-font Comments URL: https://news.ycombinator.com/item?id=48870381 Points: 71 # Comments: 65

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Hacker News: Show HN

Show HN: A strategic word game where you make many words with 1 letter per turn

Challenge with AI (easy, medium, expert), your friends, or solve daily puzzles in this strategic word game where you try to find the best placement for your letter that makes as many words as possible in all directions (across, down, diagonal, and reverse) Comments URL: https://news.ycombinator.com/item?id=48870365 Points: 2 # Comments: 1

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The DecoderBusiness

China's Orca world model matches specialized robotics systems without ever seeing a single action label

The Beijing Academy of Artificial Intelligence has released Orca, a world model that predicts abstract world states instead of tokens or pixels. Trained on 125,000 hours of video without a single action label, Orca matches the specialized π0.5 on five robotics tasks and could help ease the field's chronic data shortage. The article China's Orca world model matches specialized robotics systems without ever seeing a single action label appeared first on The Decoder .

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China's Orca world model matches specialized robotics systems without ever seeing a single action label