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Article URL: https://karlbode.com/the-lies-theyre-telling-towns-and-tribes-about-the-benefits-of-ai-data-centers/ Comments URL: https://news.ycombinator.com/item?id=48903101 Points: 5 # Comments: 0

Firstly, FAFO, I get it. I was using 13 Claude Code 20x subscriptions. Fable on ultra code. First, yes it was excessive. Yes I was using ultra code for everything unnecessarily, just because I cbf and the cost/month was low for my business. With that out of the way, Anthropic rejected my ban appeal. It was all personal use, just me, doing stuff for my business, I have no employees. Regardless, appeal rejected, no reason given, and any account I create now gets instantly banned. I’ve tried using

Hey HN, I wasn't happy with the code review tools we use at work and on my side projects. Noisy, reviews in surface, expensive (overkill for sides). So since Gemini was getting sunsetted, I explored having my own. As I am a cheap rat, this weekend I built Themis, that works with my Codex/Claude subscriptions (I understood "claude -p" is ok again in subscriptions). I wanted it open-source so it can help other indie devs or small teams, self-hostable (or local), drawing from subs and mostly, confi

Token consumption doesn't tell the whole tale but it shouldn't be ignored

MyIntelBrief monitors your competitors daily and delivers AI-powered intelligence briefs straight to your inbox. Know what your competition is doing before your customers do. Free to Try. Comments URL: https://news.ycombinator.com/item?id=48902927 Points: 1 # Comments: 0

<p>Labor MP says ‘a fair day’s pay for a fair day’s work’ was a founding principle of the ALP as media union calls for tougher new rules on AI use of creative work</p><ul><li><p><a href="http://theguardian.com/australia-news/live/2026/jul/14/australia-news-live-nt-police-peter-falconio-anthony-albanese-ai-artificial-intelligence-copyright-antisemitism-royal-commission-bondi-universities-ntwnfb">Follow our Australia news live blog for latest updates</a></p></li><li><p>Get our <a href="https://www

Article URL: https://jacobin.com/2026/07/ai-nationalization-sanders-libertarians-property Comments URL: https://news.ycombinator.com/item?id=48902676 Points: 2 # Comments: 1

A striking number of people who had already built successful companies or held unusually high-status roles are choosing to work at Anthropic. > Recently, Tom Blomfield, co-founder of Monzo and GoCardless and former YC partner > Mike Krieger, co-founder of Instagram > Andrej Karpathy, founding OpenAI member > Peter Bailis, CTO of Workday I am mostly curious because they could presumably have raised money for another startup, invested, or retired. Instead, they chose to become employees with delib

Article URL: https://www.reuters.com/business/altera-returns-growth-ai-robotics-fuel-demand-ceo-says-2026-07-10/ Comments URL: https://news.ycombinator.com/item?id=48902494 Points: 1 # Comments: 0

This could have wider implications. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Hey hackers, If you need a lil break to relax after using your whole Codex/claude usage, come on https://chaaaaa.com to play Battleship it's quick and free ! Will you beat my AI Commander ? So have fun, Good evening people ;) Comments URL: https://news.ycombinator.com/item?id=48902426 Points: 1 # Comments: 0

Article URL: https://www.abc.net.au/news/2026-07-14/copyright-law-battleground-in-australia-ai-boom/106891890 Comments URL: https://news.ycombinator.com/item?id=48902417 Points: 2 # Comments: 1

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Article URL: https://github.com/softcane/aloud Comments URL: https://news.ycombinator.com/item?id=48902347 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): extract attempt prompt phase</pre>

<p>There are currently 1,000+ open Quantum Information Scientist positions globally.</p> <p>For context: there are only about 50 Quantum Cryptographer roles. There are 200 Quantum Algorithms Researcher roles. But 1,000 Quantum Information Scientist positions.</p> <p>This role is bigger than most people realize. And the salary range — $110K-$180K — reflects the fact that organizations understand how critical this work is.</p> <h2> What A Quantum Information Scientist Actually Does </h2> <p>You're

<p>There are 7,000 open Quantum Software Engineer positions right now. But most people don't get hired for these roles because they're chasing the wrong things.</p> <p>They think they need a physics degree. They don't.<br> They think they need quantum certifications. They don't.<br> They think they need to understand all of quantum mechanics. They really don't.</p> <p>What they actually need is a path. A clear, practical sequence of steps from wherever they are now to being hired.</p> <p>Here ar

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): remove dead test surfaces (#107113)</pre>

<p>Most people think building a support chatbot is about generating human-like text. It isn’t. The real problem is memory. Or more specifically, the complete lack of it.</p> <p>I got tired of prompt engineering hacks and started looking for something better. I didn’t want a bot that sounded smart for one message and then immediately forgot everything like it hit its head on a table.</p> <p>That’s how IRIS (Intelligent Recall & Issue Support) started.</p> <p>Instead of building yet another chatbo

<p>Gemma 4 is arriving in model catalogs with an unusually broad capability surface. Google's <a href="https://ai.google.dev/gemma/docs/core" rel="noopener noreferrer">official overview</a>, last updated July 8, 2026, lists five sizes, text and image input across the family, audio on selected variants, native system-role support, and 128K or 256K context windows depending on model size.</p> <p>Those are model-family properties. They do <strong>not</strong> prove that a particular hosted endpoint

Article URL: https://github.com/provos/ironcurtain Comments URL: https://news.ycombinator.com/item?id=48902269 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix(plugin-sdk): preserve runtime contexts in test mocks (#107059) * test(plugin-sdk): make runtime context mock stateful * docs(agents): record Testbox invocation contracts</pre>

<p>Hey everyone,</p> <p>I wanted to share a small technical detail from working on my content sites. When I started integrating AI-assisted writing, the biggest challenge wasn't generating content, but making it sound human. Initial drafts often felt flat, predictable, and frankly, a bit robotic.</p> <p>My solution involved a few post-processing steps. First, a 'burstiness' pass. This isn't about randomizing, but analyzing sentence length variance and adjusting it to mimic human writing patterns

Article URL: https://eshumarneedi.com/2026/07/13/handson-with-ios-and-ipados.html Comments URL: https://news.ycombinator.com/item?id=48902247 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>refactor(ai): remove redundant tool argument finalization</pre>

<p><strong>The Model Context Protocol is the connective tissue between LLMs and external systems — filesystems, databases, APIs, browsers, internal tooling.</strong> In a well-functioning agentic deployment, MCP lets a model read documents, query databases, and take actions in the world. In an adversarial deployment, MCP becomes the mechanism by which attacker-controlled content reaches a model's context window and convinces it to take actions the user never authorized.</p> <p>We previously cove

<p>There's a quiet crisis happening in quantum computing that nobody wants to talk about.</p> <p>Quantum startups are desperate to hire mathematicians. They're posting job descriptions that look like they were written by a physics textbook. "Required: PhD in quantum physics, expertise in topological error correction, 5+ years of quantum algorithm development." Then they complain that the talent pool is tiny.</p> <p>Of course the talent pool is tiny. They're looking for unicorns who don't exist.<

<pre style='white-space:pre-wrap;width:81ex'>fix(onboarding): harden live inference handoff (#107041) * fix(onboarding): harden live inference handoff * fix(crestodian): preserve auto runtime probes * fix(ci): restore current main lint gates</pre>

<p>The AI agent hype is real. Everyone wants to build autonomous systems that can write code, make decisions, and operate unsupervised. But here's the problem: most companies hiring for agent development are using the same outdated vetting criteria they used for regular software engineers.</p> <p>And they're building garbage.</p> <p>I've spent the last decade recruiting deep tech talent. Over the past year, I've watched the agent market explode. And I can tell you with absolute certainty: the bo

<pre style='white-space:pre-wrap;width:81ex'>fix: restore grouped AI auth options in guided onboarding (#107038) Restore the grouped provider/auth picker for fresh guided onboarding, keep secondary providers under More, expose OAuth and device-code methods, and bound the setup probe session identifier so ChatGPT login is not rejected by the prompt cache key limit.</pre>

<p><em>Originally published at <a href="https://devopsdiary.blog/posts/validators-judge-they-dont-help/" rel="noopener noreferrer">devopsdiary.blog</a>. Post F-AID3 in the "Governing AI in the Enterprise" series.</em></p> <p>A validator that fixes the thing it just flagged has quit its job. It stopped grading and started doing the homework, in the same motion, and now you can't tell which part of the result you're supposed to trust.</p> <p>I keep running into this in the tooling everyone's shipp

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arXiv:2607.09664v1 Announce Type: new Abstract: To provide a structured and interpretable assessment, we decompose the image-based diagnosis into components following the Toulmin model of argumentation. This model consists of a claim, grounds, warrant, qualifier, rebuttal, and backing. Consider a claim generated by a machine learning (ML) model for retinal diagnosis. Rather than accepting this claim at face value, one could either apply explainable AI (XAI) methods or adopt an argumentation-base

arXiv:2607.09665v1 Announce Type: new Abstract: Prompt wrappers often differ only in formatting, yet they can change model scores enough to flip leaderboard conclusions. We study this variance under a token-controlled protocol and introduce two complementary metrics: the Format Sensitivity Index (FSI), the accuracy range induced by wrapper choice, and the Parseability Sensitivity Index (PSI), the corresponding range in answer parseability. Across 140,000 OpenRouter generations spanning 7 QA task

arXiv:2607.09678v1 Announce Type: new Abstract: When LLM agents hand off information to one another, does the message format matter? Two literatures disagree: format-optimization work reports that structured messages cut cost without hurting accuracy, while format-restriction work finds that imposing structure degrades generation -- and neither measures what happens when a message traverses multiple hops, where copy fidelity, not one-shot generation, dominates. We introduce a controlled relay te

arXiv:2607.09706v1 Announce Type: new Abstract: Language models turn a worded situation into a numeric plan, and the dominant pipelines (NL4Opt, OptiMUS, ORLM, OR-LLM-Agent) commit to a single objective and point-valued coefficients, then solve once. For decisions that allocate real budget, effort, or clinical attention, that confidence is the failure mode: every objectified number is an assumption, and a plan optimal only if the guesses are exactly right is fragile -- mimicry of computation. YU

arXiv:2607.09709v1 Announce Type: new Abstract: Post-training a code generator against a learned judge can optimize proxy features that raise the score without improving the artifact. We study the opposite signal: a deterministic, judge-free, ungameable filter -- whether a generated project launches cleanly under a headless engine (strict-launch). Under this gate, rejection-sampling self-distillation compounds out-of-family generalization. On GameCraft-Bench (mapping a natural-language brief to

arXiv:2607.09713v1 Announce Type: new Abstract: A key step toward autonomous industrial operation is the ability to create and reconfigure control policies from natural-language requirement specifications, with minimal or no manual redesign. In this setting, policy generation by AI agents can be a credible path when paired with a plant-aware validator (e.g., a digital twin) that can check generated candidate actions before execution. However, practical deployment is constrained by inference late

arXiv:2607.09714v1 Announce Type: new Abstract: The Feedback-Coupled Memory Systems (FCMS) architecture formalizes closed-loop coordination through four abstract operators, two of which - the agent update operator $f_i$ and the environmental update operator $\Psi$ - are left axiomatically undefined in the original framework. To address this, $f_i$ is defined by Mechanism-Based Intelligence (MBI), where agents update locally through a decentralized price mechanism and economic principles, and $\P

arXiv:2607.09739v1 Announce Type: new Abstract: We study LLM benchmark coreset selection: selecting a small subset of prompts over multiple benchmarks whose induced model scores and rankings approximate those obtained from the full benchmark suite. In evaluation-unsupervised benchmark coreset selection (our approach), the selection algorithm uses no model evaluation outcomes, and operates on a fine granularity by producing subsets of prompts over multiple benchmarks rather than producing a sub-c