AI News Today

Google's AI assistant can "use your logged-in accounts and saved passwords to handle tedious web errands."

Horizon3 has raised $250 million in Series E funding at a valuation exceeding $2 billion, giving the cybersecurity company substantial new capital to expand its autonomous penetration-testing platform and move further into automated defensive remediation. The round was co-led by existing investors NightDragon and New Enterprise Associates (NEA). Horizon3 says its valuation has more than tripled from the $650 million valuation attached to its Series D just over a year ago. The financing arrives…

Alibaba is marketing its new AI model Qwen 3.8 with a video that shows the AI working while a person enjoys their hobbies. It's a deliberate contrast to the job loss warnings from OpenAI and Anthropic. Of course, it's still just marketing. The article Alibaba's new Qwen model is also taking your job, but this time it's great appeared first on The Decoder .

I’ve noticed a consistent pattern across financial institutions that have tested general-purpose AI tools but struggle to identify and measure impact. Leadership makes the decision to invest, then implements across teams and waits for the impact. After a few months, the confusion hits. Results aren’t clear, processes aren’t improving, adoption is lagging, and the numbers remain unchanged. The ROI is not evident, and they point to the tool as the problem, but the reality is that when you…

Hugging Face has published a detailed timeline of the attack. From the summary: The agent was running an internal OpenAI cyber-capability evaluation based on the ExploitGym benchmark, which tasks an AI agent with finding and exploiting software vulnerabilities. OpenAI ran this on its own infrastructure, and the ExploitGym maintainers and their infrastructure had no involvement in the deployment or operation of that evaluation environment. As far as we were able to infer, across the course of bei

Article URL: https://jesta.ai/blog/darkreasoning Comments URL: https://news.ycombinator.com/item?id=49158479 Points: 16 # Comments: 6

Next.js 16.3 introduces Instant Navigations, a suite of tools for single-page-app responsiveness, plus a faster dev server, faster builds, and improved tooling for AI agents.

Zenity has raised $125 million in Series C funding as businesses move artificial intelligence agents from controlled experiments into systems capable of accessing data, invoking software tools and completing operational tasks. Norwest led the round, with Qumra Capital, SoftBank Vision Fund 2, Hitachi Ventures and LG Technology Ventures joining as new investors. Existing backers Vertex Ventures, Third Point Ventures, DTCP and Intel Capital also participated. The company did not disclose its…

Article URL: https://github.com/patchy631/time-to-first-token Comments URL: https://news.ycombinator.com/item?id=49158330 Points: 3 # Comments: 0

House spending records show OpenAI's ChatGPT dominates paid AI use on Capitol Hill, with congressional offices relying on the chatbot to draft memos, summarize legislation, and assist constituent communications.

Hi HN, we’re Bence and Ryan, founders of Hoplite ( https://hoplite.sh ). Hoplite lets you deploy coding agents in the cloud, with a suite of tools that makes it incredibly easy to QA features. During onboarding, we port over your local setup - sessions, memories, MCP servers, and get your projects ready to run in the cloud. Here’s a demo: https://youtu.be/bnyktZ_9pjE We got here after pivoting away from the idea we applied to YC with; AI for retail investing. It ultimately wasn’t a product that

Enterprise Document Intelligence [Vol.1 #M2] - Every RAG system is built in three engineering layers stacked on one LLM call: prompt (the call itself), context (what fills the model’s window), loop (when the next call fires and when it stops). Knowing which layer you are standing on is half of building and debugging RAG The post Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On appeared first on Towards Data Science .

<!-- SC_OFF --><div class="md"><p>As review season for NeurIPS wraps up, I have now reviewed for 3 major conferences this year. And I'm noticing a worrying trend:</p> <p>Out of the 12 papers I reviewed this year, only 1 provided full code (that runs the whole training pipeline from input dataset to output AUROC). 4 provided partial code with fragments of their method, but no ability to run the experiment end to end. And 7 provided no code.</p> <p>This is really bad for ensuring quality and repro

<p> Git-backed skills, tools & context for AI agents </p> <p> <a href="https://www.producthunt.com/products/bevel-4?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/1213979?app_id=339">Link</a> </p>

<blockquote cite="https://blog.exe.dev/devtools-must-be-open-source"><p><code>Set up a nightly cron job that executes the prompt: fetch upstream changes to the <software> and rebase all local changes on top of upstream. Check that the software works as intended and replace the current version.</code></p></blockquote> <p class="cite">— <a href="https://blog.exe.dev/devtools-must-be-open-source">David Crawshaw's prompt</a>, Devtools must be open source</p> <p>Tags: <a href="https://simonwillison.n

Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]

Eighty-six percent of commerce leaders believe AI is raising the bar for customer expectations.

For a while there, it seemed as though robotics as a whole was stuck in a mad rush towards building humanoid robots mostly because it was very possible (and very lucrative) to do so, even without near-term goals that were necessarily realistic. Some of the magic of those first couple of years of the humanoid explosion has stuck around, but there’s also been an industry-wide sobering leading to pointed questions about practicality and value . In other words, starting a commercial humanoid company

Read about MiniMax's own architecture, and see how it runs a real task against the actual API. Learn the pieces of the MiniMax story that weren't covered in the launch post.

Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .

Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared...

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...

According to IBM, 92 percent of companies that experienced an AI security incident had inadequate access controls for their AI systems. The model itself was rarely the problem. The article IBM finds 92% of companies hit by AI security breaches lacked basic access controls appeared first on The Decoder .

Article URL: https://www.makonea.com/en-US/casual/llm-writing-and-me Comments URL: https://news.ycombinator.com/item?id=49157225 Points: 1 # Comments: 0

In this article, we try to build a map of the full attack surface that threatens an LLM’s security.

<!-- SC_OFF --><div class="md"><ul> <li>I tried to do all my NeurIPS reviews responsibly, even for the papers I suspected to be AI slop. I even gave what apparently were very nice scores compared to the scores I ended up getting. (I don't just mean the absolute number for my scores were higher, but that they were calibrated differently--I only rejected for severe issues, while I had a reviewer who only raised very minor issues but gave a reject, with a 1 for all the subscores.) </li> <li>I got s

AI’s greatest mathematical successes have come from answers to problems posed by a mid-20th century iconoclast. By examining what makes the Erdős problems unique, mathematicians are trying to understand how AI might change the rest of math. The post Why the Legendary Erdős Problems Are Falling to AI first appeared on Quanta Magazine

AI is involved in 55 percent of reported cybercrimes in Africa, according to a new Interpol report. Financial losses more than doubled from $192 million to $484 million, and about 600,000 cases of digital extortion involving deepfakes were recorded. The article Interpol says AI has become the "core operational driver of cybercrime" across Africa appeared first on The Decoder .

Create a local CLI Agent from scratch completely for free The post How to Build CLI Agents with Python & Ollama appeared first on Towards Data Science .

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<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Vibe_coding_course_hero.max-600x600.format-webp.webp">Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.

Article URL: https://lore.kernel.org/all/2026080354-skater-urgent-31b2@gregkh/ Comments URL: https://news.ycombinator.com/item?id=49156513 Points: 1 # Comments: 0

Worried about your personal AI chats being exposed? Here's how to tighten your privacy across several major chatbots.

<p>Denying First Amendment protection to AI outputs sounds like a rule about machines. In practice it could burden human speech online.</p>

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/real-monet" title="" class="hs-featured-image-link"> <img src="https://53.fs1.hubspotusercontent-na1.net/hubfs/53/monet-1-20260730-226672.webp" alt="how is ai content percieved " class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>AI content is polarizing. When users spot that AI was used in art, backlash often follows. So, let’s run a quick ex

Article URL: https://github.com/Liana64/eek Comments URL: https://news.ycombinator.com/item?id=49156159 Points: 1 # Comments: 1

Taiwanese silicon biz believes it can take up to 20% of $80B market with upcoming ASIC chips, but analysts are sceptical

Interesting paper on the impact of knowledge curation, rather than large language models, on outcomes for geoscience. Self-hosted code is open-source. From the models, themselves, Phi-4 and Llama are best performing. Bailo et al (2026) link in the comments. AbstractLarge Language Models (LLMs) are increasingly adopted in scientific research, yet their use raises important challenges... Continue Reading →

This week kept coming back to permission. A model crossed a boundary. A wallet trusted bad randomness. Webmail kept an intruder around. Public systems, package feeds, hotel networks, and login flows all gave away more than intended. Some of it was clever. Most of it was just access left lying around: old bugs, exposed gear, poisoned dependencies, weak defaults, and tooling that moved from

Scaling up and streamlining a multi-agent architecture doesn't necessarily entail escalated costs if you know how to properly implement these four strategies for saving token usage.