AI News Today

<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

<h2> El problema de los pipelines "texto → SQL" tradicionales </h2> <p>La mayoría de las soluciones de IA para bases de datos siguen el mismo patrón: el usuario escribe una pregunta en lenguaje natural, un modelo la traduce a una consulta SQL, y esa consulta se ejecuta directamente contra la base de datos. Es simple, pero frágil: si el modelo genera una consulta incorrecta, esta puede <strong>ejecutarse sin errores</strong> y devolver un resultado que parece válido pero no lo es. Nadie se entera

<p>I built <a href="https://vibesafe.store" rel="noopener noreferrer">VibeSafe</a> — a 24-check security scanner for apps made with AI coding tools (Cursor, Lovable, Bolt, v0, Replit).</p> <p>The idea came from a pattern I kept seeing: AI tools produce code that <em>works</em>, but rarely code that's <em>secure</em>. Hardcoded API keys, disabled Row Level Security, missing CSP headers, exposed <code>.env</code> files. Same issues, different apps.</p> <p>Before writing a line of scanner code, I m

<h2> Introduction </h2> <p>One of the biggest limitations of modern AI assistants is memory. Every new conversation starts almost from scratch, making it difficult to work on long-running investigations or complex cases.</p> <p>For my hackathon project, I wanted to solve exactly this problem.</p> <p>I built <strong>DetectiveAI</strong>, an AI-powered crime investigation assistant that uses <strong>Cognee Cloud</strong> as its persistent memory layer. Instead of forgetting evidence after every se

Article URL: https://github.com/HBarefoot/engram Comments URL: https://news.ycombinator.com/item?id=48796133 Points: 2 # Comments: 0

Article URL: https://istota.cynium.com/ Comments URL: https://news.ycombinator.com/item?id=48796095 Points: 5 # Comments: 0

Article URL: https://github.com/adam-s/goldseam Comments URL: https://news.ycombinator.com/item?id=48796042 Points: 1 # Comments: 0

Article URL: https://github.com/guy-lifshitz/tacheles Comments URL: https://news.ycombinator.com/item?id=48796026 Points: 1 # Comments: 0

Article URL: https://allk12.com/blog/why-high-earning-families-are-leaving-traditional-schools-for-ai Comments URL: https://news.ycombinator.com/item?id=48796022 Points: 2 # Comments: 0

I'm a father of two, 7 and 12. They are obsessed with Roblox, especially Rivals. Like a lot of parents, we did not love it. We tried the usual things: block it, limit it, set timers." It became a daily battle, a lose-lose situation. So I flipped the problem. Instead of fighting what they loved, I decided to lean into it, but with a twist. Why just play an FPS when you could build one together? My kids became the PMs. Claude and I became their engineer. I was shocked by how fast we moved. We pick

<pre style='white-space:pre-wrap;width:81ex'>docs: tailor imsg skill for OpenClaw agents (#100105) * docs: tailor imsg skill for OpenClaw agents * docs(imsg-skill): document that poll send echoes --question as a visible comment * docs(imsg-skill): note inbound native poll question is backfilled from its caption * docs(imsg-skill): document only shipped poll behavior Drop the poll caption echo, --comment override, and inbound question backfill from the imsg skill: those live in imsg PR openclaw/i

<pre style='white-space:pre-wrap;width:81ex'>test: avoid redundant prompt probe process</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(test): unit-fast tests inherit live host config (#100221) * fix(test): make unit tests hermetic against host config and build state Two host-state leaks made the full suite fail deterministically on developer and agent machines while CI stayed green: - Built checkouts: bundled-plugin manifest discovery prefers dist/extensions, which by design excludes externalized official plugins (e.g. qwen). Tests that depend on manifest-driven endpoint classifi