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As generative AI matures from a novelty into a workplace staple, a new friction point has emerged: the "shadow AI" or "Bring Your Own AI (BYOAI)" crisis. Much like the unsanctioned use of personal devices in years past, developers and knowledge workers are increasingly deploying autonomous agents on personal infrastructure to manage their professional workflows. "Our journey with Kilo Claw has been to make it easier and easier and more accessible to folks," says Kilo co-founder Scott Breitenother. Today, the company dedicated to providing a portable, multi-model, cloud-based AI coding environment is moving to formalize this "shadow AI" layer: it's launching KiloClaw for Organizations and KiloClaw Chat, a suite of tools designed to provide enterprise-grade governance over personal AI agents. The announcement comes at a period of high velocity for the company. Since making its securely hosted, one-click OpenClaw product for individuals, KiloClaw, generally available last month, more than



Slack just got a whole lot more useful.

OpenAI's latest funding round, led by Amazon, Nvidia, and SoftBank, values the AI lab at $852 billion as it nears an IPO.

Article URL: https://voight.vercel.app/post/this-is-a-test-article-just-to-see-how-it-looks-v1b61 Comments URL: https://news.ycombinator.com/item?id=47606347 Points: 1 # Comments: 1
It feels like spring has sprung here, and so has a new NVIDIA integration, ticket sales for Interrupt 2026, and announcing LangSmith Fleet (formerly Agent Builder).

Here are Google’s latest AI updates from March 2026

Ring's app store will allow the company to target broader use cases beyond security, like elder care or business needs.

I'm excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent called frontier agents. These autonomous systems work independently to achieve goals, scale massively to tackle concurrent tasks, and run persistently for hours or days without constant human oversight. Together, these agents are changing the way we secure and operate software. In preview, customers and partners report that AWS Security Agent compresses penetration testing timelines from weeks to hours and the AWS DevOps Agent supports 3–5x faster incident resolution.

A new study from researchers at UC Berkeley and UC Santa Cruz suggests models will disobey human commands to protect their own kind.

Slack today announced more than 30 new capabilities for Slackbot, its AI-powered personal agent, in what amounts to the most sweeping overhaul of the workplace messaging platform since Salesforce acquired it for $27.7 billion in 2021. The update transforms Slackbot from a simple conversational assistant into a full-spectrum enterprise agent that can take meeting notes across any video provider, operate outside the Slack application on users' desktops, execute tasks through third-party tools via the Model Context Protocol (MCP), and even serve as a lightweight CRM for small businesses — all without requiring users to install anything new. The announcement, timed to a keynote event that Salesforce CEO Marc Benioff is headlining Tuesday morning, arrives less than three months after Slackbot first became generally available on January 13 to Business+ and Enterprise+ subscribers. In that short window, Slack says the feature is on track to become the fastest-adopted product in Salesforce's 2

Article URL: https://www.npmjs.com/package/vibepad Comments URL: https://news.ycombinator.com/item?id=47600023 Points: 1 # Comments: 0

The former BP chief is entering the AI age with American data center projects.

Advocacy groups urge YouTube to protect kids from ‘AI slop’ videos AP News

Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
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Runway is launching a $10 million fund and startup program to back companies building with its AI video models, as it pushes toward interactive, real-time “video intelligence” applications.

Article URL: https://1988lm.substack.com/p/what-a-19th-century-kazakh-poet-knew Comments URL: https://news.ycombinator.com/item?id=47606462 Points: 3 # Comments: 0

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynamic execution sandboxes for every repository, which are expensive and computationally heavy. Using large language model (LLM) reasoning instead of executing the code is rising in popularity to bypass this overhead, yet it frequently leads to unsupported guesses and hallucinations. To improve execution-free reasoning, researchers at Meta introduce "semi-formal reasoning," a structured prompting technique. This method requires the AI agent to fill out a logical certificate by explicitly stating premises, tracing concrete execution paths, and deriving formal conclusions before providing an answer. The structured format forces the agent to systematically gather evidence and follow function calls before drawing conclusions. This increases the accuracy of LLMs in coding tasks and significantly

Article URL: https://openai.com/index/accelerating-the-next-phase-ai/ Comments URL: https://news.ycombinator.com/item?id=47593432 Points: 12 # Comments: 1

Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.8 MB source map file inside version 2.1.88 of its @anthropic-ai/claude-code npm package, exposing 512,000 lines of unobfuscated TypeScript across 1,906 files. The readable source includes the complete permission model, every bash security validator, 44 unreleased feature flags, and references to upcoming models Anthropic has not announced. Security researcher Chaofan Shou broadcast the discovery on X by approximately 4:23 UTC. Within hours, mirror repositories had spread across GitHub. Anthropic confirmed the exposure was a packaging error caused by human error. No customer data or model weights were involved. But containment has already failed. The Wall Street Journal reported Wednesday morning that Anthropic had filed copyright takedown requests that briefly resulted in the removal of more than 8,000 copies and adaptations from GitHub. However, an Anthropic s

When Intuit shipped AI agents to 3 million customers, 85% came back. The reason, according to the company's EVP and GM: combining AI with human expertise turned out to matter more than anyone expected — not less. Marianna Tessel, the financial software company’s EVP and GM, calls this AI-HI combination a “massive ask” from its customers, noting that it provides another level of confidence and trust. “One of the things we learned that has been fascinating is really the combination of human intelligence and artificial intelligence,” Tessel said in a new VB Beyond the Pilot podcast. “Sometimes it's the combination of AI and HI that gives you better results.” Chatbots alone aren’t the answer Intuit — the parent company of QuickBooks, TurboTax, MailChimp and other widely-used financial products — was one of the first major enterprises to go all in on generative AI with its GenOS platform last June (long before fears of the "SaaSpocalypse" had SaaS companies scrambling to rethink their st

Star Wars producer Kathleen Kennedy was one of the few skeptics at the Runway AI Summit, where AI was compared to fire and the printing press just a week after Sora’s death.

arXiv:2603.28929v1 Announce Type: new Abstract: Multi-intent detection papers usually ask whether a model can recover multiple intents from one utterance. We ask a harder and, for deployment, more useful question: can it recover new combinations of familiar intents? Existing benchmarks only weakly test this, because train and test often share the same broad co-occurrence patterns. We introduce CoMIX-Shift, a controlled benchmark built to stress compositional generalization in multi-intent detection through held-out intent pairs, discourse-pattern shift, longer and noisier wrappers, held-out clause templates, and zero-shot triples. We also present ClauseCompose, a lightweight decoder trained only on singleton intents, and compare it to whole-utterance baselines including a fine-tuned tiny BERT model. Across three random seeds, ClauseCompose reaches 95.7 exact match on unseen intent pairs, 93.9 on discourse-shifted pairs, 62.5 on longer/noisier pairs, 49.8 on held-out templates, and 91.

Want to know what our reviewers have actually tested and picked as the best TVs, headphones, and laptops? Ask ChatGPT, and it'll give you the wrong answers.

Build production AI agents on MongoDB Atlas — with vector search, persistent memory, natural-language querying, and end-to-end observability built in.

The brand will now add the mayo and chicken stock brands to its litany of products including various hot sauce brands.

If you're tired of controlling Stream Deck devices by manually pushing buttons, then good news: Elgato will now let you delegate that task to a chatbot instead. The Stream Deck 7.4 software update released today introduces Model Context Protocol (MCP) support, allowing AI assistants like Claude, ChatGPT, and Nvidia G-Assist to find and activate Stream Deck actions on your behalf. "You still set up actions in Stream Deck app the same way you always have. MCP adds a new way to trigger them," Elgato said in its announcement. "Once everything is connected, you can type or speak requests and your AI tool will trigger the matching Stream Deck act … Read the full story at The Verge.

Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.

The company turns footage from robots into structured, searchable datasets with a deep learning model.