AI News Today

Comments

<p> Trading desk for LLM calls </p> <p> <a href="https://www.producthunt.com/products/auriko?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/1188837?app_id=339">Link</a> </p>

If you check the newest submissions right now (https://news.ycombinator.com/newest), ten out of 30 are already dead, some only sent five minutes ago. On the second page, it's 9. On the third, 11. It seems unlikely that many people are downvoting them so quickly, and for most I can't see why they should be dead. I know that there's websites known to publish only AI slop which are probably blacklisted here, but it seems unlikely that a third of the submissions are about them. There's some automati

Article URL: https://ai-2027.com/?agi=true Comments URL: https://news.ycombinator.com/item?id=48798738 Points: 2 # Comments: 2

<p>Minecraft terrain, roguelike dungeons, and No Man's Sky planets all come from the same place: rules, not hand built content. If you strip procedural generation down, nearly everything ships on three algorithm families.</p> <p><strong>Noise functions.</strong> Perlin and simplex noise give you smooth randomness, which is exactly what terrain wants. Sample 2D noise for a heightmap, layer a moisture map on top, threshold it, and you have biomes. Almost every survival game terrain starts here.</p

<p>When people hear "an app that writes books with AI," they picture one giant prompt and a wall of purple prose. That's the demo version. The moment you try to ship a real reading-and-writing product, you find out the generation step is the easy part. The hard part is everything wrapped around it — and it's a genuinely interesting systems problem.</p> <h2> A book is a state machine, not a prompt </h2> <p>The first thing that breaks the naive approach is length. Ask a model for "a novel" and you

<p>Today started with a simple goal: finish a feature on an AI-based project I'm building.</p> <p>That didn't happen.</p> <p>Instead, I spent almost five hours debugging.</p> <p>At first, I was convinced the database was causing the problem. After fixing that, another issue appeared. Then I thought it was the queue. Then the AI API. Then the fetch logic.</p> <p>The interesting part wasn't the bugs—it was how I was approaching them.</p> <p>I stopped trying random fixes and started tracing the req

<p>Quick disclosure before anything else: I'm on the team behind this. Not a neutral reviewer, just someone who got tired of the same thing you probably did.<br> So a few of us built AntSeed. It's an open market for AI inference. Anyone can sell intelligence, anyone can buy it. Your request goes straight to whichever provider fits, cheapest, fastest, or the one with the best track record, instead of whoever your subscription picked for you months ago.<br> The part that actually convinced me wasn

Most Americans don't trust AI. It's proven that it doesn't know what safe toppings for pizza are. People don't even want to listen to AI music. But none of that matters for some of America's wealthy, who are turning to AI to teach their kids instead of traditional schools. Companies like Forge Prep and Alpha […]

<p>Eighteen months ago, agent-driven ad buying was a keynote topic. Today it is two competing standards stacks with shipped software, published by two different organizations that are openly not coordinating.</p> <p>If you build adtech, both are about to show up in your pipes. Here is the short version.</p> <h2> Stack one: IAB Tech Lab's AAMP </h2> <p>AAMP (Agentic Advertising Management Protocols) launched in January 2026 and hit 2.0 in June. The philosophy: build on the rails that already move

<pre style='white-space:pre-wrap;width:81ex'>feat(chat-ui): redesign composer bottom bar with split Talk control and reasoning-effort chip (#100445) * feat(chat-ui): redesign composer bottom bar with split Talk control and reasoning-effort chip Removes the toolbar divider so the composer frame is the only chrome, merges the Talk toggle and Talk settings gear into a mic+caret split control, shows the effective reasoning level as a subtle pill next to the model name (accent-washed only on session

<pre style='white-space:pre-wrap;width:81ex'>fix(release): package legacy candidates without AI workspace (#100469)</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(slack): prefer native status by default (#100462) Co-authored-by: Peter Steinberger <steipete@openai.com></pre>

I am very paranoid about sharing potential AI research with e.g. Claude [Code] or ChatGPT/Codex. I believe that any company is essentially a paperclip optimizer that will do whatever it takes to win over competition. AI companies have access to the IP of millions of AI researchers and AI startups who are in direct competition with them. If they can use this data to squash competition (either competition from the same researchers or from others), I believe that they will use if eventually (if not

If you have a book idea, Youbooks AI Non-Fiction Book Generator can make it a reality with this lifetime subscription.

Article URL: https://www.windowslatest.com/2026/07/05/microsoft-365-just-got-a-price-hike-over-continuous-innovation-but-copilot-is-the-ai-tax-on-businesses/ Comments URL: https://news.ycombinator.com/item?id=48798330 Points: 19 # Comments: 8

Article URL: https://github.com/irenee28/akm-clr-governance-layer Comments URL: https://news.ycombinator.com/item?id=48798328 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><p>Hi everyone, I'm currently working on a framework to evaluate the security of LLM applications and AI agents, and I've been stuck on one part for a while.</p> <p>Most red-teaming frameworks rely on an LLM to generate adversarial prompts. My question is more about <strong>which model to use</strong>.</p> <ul> <li>Which <strong>closed-source</strong> models would you recommend for generating high-quality attacks?</li> <li>Which <strong>open-source</strong> models

Article URL: https://github.com/bharadwaj-pendyala/sidenote Comments URL: https://news.ycombinator.com/item?id=48797739 Points: 1 # Comments: 0

https://xcancel.com/plannotator/status/2073845811847512372?s... https://github.com/backnotprop/plannotator Plannotator Code Review works for any local or PR changes, jj, and p4. You can conduct a code review on your own or integrate it with your agents and submit feedbacks to create an automated iteration loop. Guided reviews works just like linear, except it also summarizes all file changes for you. The most important code changes are surfaced to the top, provided with a semantic overview & gro

Article URL: https://github.com/SakanaAI/fugu Comments URL: https://news.ycombinator.com/item?id=48797562 Points: 4 # Comments: 0

Article URL: https://www.euronews.com/travel/2026/07/03/tripadvisor-ai-summaries-give-glowing-reviews-to-dangerous-hotels-consumer-watchdog-finds Comments URL: https://news.ycombinator.com/item?id=48797529 Points: 25 # Comments: 9

Hi HN, This is ProofTree, and in TLDR: it is a platform where you can chat with an AI to do math, the way you already do, with context-awareness and knows how you personally do math, connected to the fora of other live human mathematicians. So, when you are talking to an AI about a proof at 3 am, and you need a human expert looking at it, or a discussion around it, like you do on StackExchange, this is it! You need an approved email account to use it, so please write here if you would live to tr

Aieeee! ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Article URL: https://quickchat.ai/post/expose-ai-agent-as-mcp-server Comments URL: https://news.ycombinator.com/item?id=48797219 Points: 5 # Comments: 0

Article URL: https://www.wired.com/story/fact-checking-ai/ Comments URL: https://news.ycombinator.com/item?id=48797126 Points: 1 # Comments: 0

Article URL: https://github.com/momomuchu/make-no-mistakes Comments URL: https://news.ycombinator.com/item?id=48797101 Points: 1 # Comments: 0

Article URL: https://arpitbhayani.me/blogs/ai-topological-sort/ Comments URL: https://news.ycombinator.com/item?id=48797087 Points: 1 # Comments: 0

<p>Exclusive: Foreign secretary warns of combined risks of AI, climate crisis, irregular migration and foreign interference</p><p>Artificial intelligence poses a “Hiroshima”-style risk to humanity if governments do not agree to curb how it is developed, the foreign secretary has warned.</p><p>Yvette Cooper urged countries, including the US and China, to agree international rules for AI, telling the Guardian she believes the issue will dominate foreign policy over the next two years.</p> <a href=

Article URL: https://intextbooks.science.uu.nl/workshop2026/files/itb26_s1s2.pdf Comments URL: https://news.ycombinator.com/item?id=48796817 Points: 19 # Comments: 3

Article URL: https://www.nomlings.cc/ Comments URL: https://news.ycombinator.com/item?id=48796800 Points: 4 # Comments: 1

Article URL: https://www.tomshardware.com/tech-industry/atomic-semi-rebrands-as-fab2-and-shifts-operations-to-texas Comments URL: https://news.ycombinator.com/item?id=48796784 Points: 11 # Comments: 0

The effect renders a 3D avatar model on top of the user's face. Tracks one face at a time. It uses MediaPipe's GPU delegate (WebGL2) when available, with automatic fallback to a WASM CPU delegate. MediaPipe's FaceLandmarker runs inside a Web Worker that the SDK spawns. The worker dynamically imports MediaPipe, its WASM, and the 3D model. The avatar requirements: a 3D mesh with Apple ARKit Facial Blendshapes in GLB file format. I welcome everyone who tries it and posts a feedback here! Comments U

The main metric I look at is inference cost, which is a pretty good indicator when something's off. However, a couple of days a go I discovered we were loading ~300 tools due to a bug, affecting both costs and accuracy. It was going on for some time and I didn't realize it by looking at the costs, cause it got hidden by other changes I made in the same period. Now I started tracking that and some other metrics, but it made me wonder what else I might be missing. So: what are you tracking? Any ti

Article URL: https://gamefork.io Comments URL: https://news.ycombinator.com/item?id=48796620 Points: 2 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix: land ten small reliability fixes (#100399) * fix(cron): reject sub-millisecond durations * fix(skill-workshop): preserve proposal terminal newline Preserve proposal_content exactly at the agent tool boundary and make renderProposalMarkdown defensively emit a terminal newline. Add focused regressions for the tool write path and markdown renderer. * fix(skill-workshop): reject blank raw proposal content * fix: treat empty-string optional integer to

With some corporate environments going from "tokenmaxxing at all costs" to now setting strict token budgets for agentic development: How is one supposed to adhere to a managerial / leadership instruction of "use AI for everything" but even more than that: "you shouldn't be writing code by hand"? It feels like this is a Russian roulette scenario. As long as you have the right harness, framework, skills, prompt, etc. to make the output as deterministic as possible AND know exactly what you're supp

<!-- SC_OFF --><div class="md"><p>I'm an 18-year-old independent student from Tunisia. I built and I'm leading an open, from-scratch machine-translation pipeline and parallel corpus for Tunisian Darija. Sharing it for feedback.</p> <p>Why: Tunisian Darija, written in Arabizi (Latin letters + numerals like 3/7/9/5 for Arabic phonemes), has almost no open NLP resources. Existing Arabic tools route it through MSA and mishandle the orthography. To the best of my knowledge there was no open parallel

Article URL: https://github.com/vaishcodescape/shipd-agent Comments URL: https://news.ycombinator.com/item?id=48796341 Points: 1 # Comments: 0

Article URL: https://github.com/salarkhannn/ghostlog Comments URL: https://news.ycombinator.com/item?id=48796330 Points: 1 # Comments: 0