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Curated from 200+ sources across AI & machine learning
Salesforce announces an AI-heavy makeover for Slack, with 30 new features
Slack just got a whole lot more useful.
OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise
Known Intents, New Combinations: Clause-Factorized Decoding for Compositional Multi-Intent Detection
Models & Gen AI
Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases
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
OpenAI raises $122B to accelerate the next phase of AI
Article URL: https://openai.com/index/accelerating-the-next-phase-ai/ Comments URL: https://news.ycombinator.com/item?id=47593432 Points: 12 # Comments: 1
Runway launches $10M fund, Builders program to support early stage AI startups
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.
Nvidia-backed ThinkLabs AI raises $28 million to tackle a growing power grid crunch
ThinkLabs AI, a startup building artificial intelligence models that simulate the behavior of the electric grid, announced today that it has closed a $28 million Series A financing round led by Energy Impact Partners (EIP), one of the largest energy transition investment firms in the world. Nvidia’s venture capital arm NVentures and Edison International, the parent company of Southern California Edison, also participated in the round. The funding marks a significant escalation in the race to apply AI not just to software and content generation, but to the physical infrastructure that powers modern life. While most AI investment headlines have centered on large language models and generative tools, ThinkLabs is pursuing a different and arguably more consequential application: using physics-informed AI to model the behavior of electrical grids in real time, compressing engineering studies that once took weeks or months into minutes. "We are dead focused on the grid," ThinkLabs CEO Josh W
Xenv.sh – the first secrets manager built for AI agents
Article URL: https://xenv.sh/ Comments URL: https://news.ycombinator.com/item?id=47593562 Points: 1 # Comments: 0
The Future of AI is Many, Not One
arXiv:2603.29075v1 Announce Type: new Abstract: The way we're thinking about generative AI right now is fundamentally individual. We see this not just in how users interact with models but also in how models are built, how they're benchmarked, and how commercial and research strategies using AI are defined. We argue that we should abandon this approach if we're hoping for AI to support groundbreaking innovation and scientific discovery. Drawing on research and formal results in complex systems, organizational behavior, and philosophy of science, we show why we should expect deep intellectual breakthroughs to come from epistemically diverse groups of AI agents working together rather than singular superintelligent agents. Having a diverse team broadens the search for solutions, delays premature consensus, and allows for the pursuit of unconventional approaches. Developing diverse AI teams also addresses AI critics' concerns that current models are constrained by past data and lack the
CrowdStrike, Cisco and Palo Alto Networks all shipped agentic SOC tools at RSAC 2026 — the agent behavioral baseline gap survived all three
CrowdStrike CEO George Kurtz highlighted in his RSA Conference 2026 keynote that the fastest recorded adversary breakout time has dropped to 27 seconds. The average is now 29 minutes, down from 48 minutes in 2024. That is how much time defenders have before a threat spreads. Now CrowdStrike sensors detect more than 1,800 distinct AI applications running on enterprise endpoints, representing nearly 160 million unique application instances. Every one generates detection events, identity events, and data access logs flowing into SIEM systems architected for human-speed workflows. Cisco found that 85% of surveyed enterprise customers have AI agent pilots underway. Only 5% moved agents into production, according to Cisco President and Chief Product Officer Jeetu Patel in his RSAC blog post. That 80-point gap exists because security teams cannot answer the basic questions agents force. Which agents are running, what are they authorized to do, and who is accountable when one goes wrong. “The
Claude Code leak exposes a Tamagotchi-style ‘pet’ and an always-on agent
After Anthropic released Claude Code's 2.1.88 update, users quickly discovered that it contained a package with a source map file containing its TypeScript codebase, with one person on X calling attention to the leak and posting a file containing the code. The leaked data reportedly contains more than 512,000 lines of code and provides a look into the inner workings of the AI-powered coding tool, as reported earlier by Ars Technica and VentureBeat. Users who have dug into the code claim to have uncovered upcoming features, Anthropic's instructions for the AI bot, and insight into its "memory" architecture. Some things spotted by users inclu … Read the full story at The Verge.
You can now use ChatGPT with Apple’s CarPlay
ChatGPT is now accessible from your CarPlay dashboard if you have iOS 26.4 or newer and the latest version of the ChatGPT app, 9to5Mac reports. Apple's recently-launched iOS 26.4 update added support for "voice-based conversational apps" in CarPlay, opening the door to let you use AI chatbots with voice features through Apple's in-car platform. When using ChatGPT through CarPlay, the app doesn't show text conversations, according to 9to5Mac - instead, you can only have conversations with the app using your voice. (Apple's developer guidelines ask that apps don't show text or imagery as responses.) The CarPlay app isn't completely devoid of … Read the full story at The Verge.
Sandflare – I built a sandbox that launches AI agent VMs in ~300ms
I've been building Sandflare for the past few months — it launches Firecracker microVMs for AI agents in ~300ms cold start. The idea came from running LLM-generated code in production. Docker felt too risky (shared kernel), full VMs too slow (5–10s). Firecracker hits the middle: real VM isolation, fast boot. I also added managed Postgres because almost every agent I built needed persistent state. One call wires a database into a sandbox. There are great tools in this space already (E2B, Modal, Daytona) — I wanted something with batteries-included Postgres, and simpler pricing What I'm trying to figure out: how do I get cold start below 100ms? Currently the bottleneck is the Firecracker API + network setup. Would love to hear from anyone who's pushed Firecracker further. https://sandflare.io Comments URL: https://news.ycombinator.com/item?id=47583255 Points: 2 # Comments: 3
Mission Control for AI Agents – Cyberpunk dashboard, zero deps, one HTML file
Article URL: https://github.com/Audazia/solar-system-agentsIbuiltSolarSystemAgentsbecauseIwanted:1.AdashboardthatlookssogoodIactuallywanttokeepitopen2.WorkswithANYagentframework3.Zerosetupfriction—noDocker,nonpm,nodatabase Comments URL: https://news.ycombinator.com/item?id=47595045 Points: 1 # Comments: 1
Announcing the LangChain + MongoDB Partnership: The AI Agent Stack That Runs On The Database You Already Trust
Build production AI agents on MongoDB Atlas — with vector search, persistent memory, natural-language querying, and end-to-end observability built in.
McCormick combines with Unilever’s food division and adds Hellmann’s and Knorr to its brands
The brand will now add the mayo and chicken stock brands to its litany of products including various hot sauce brands.
Accelerating the next phase of AI
OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI.
Shifting to AI model customization is an architectural imperative
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improvements are still the norm. When a model is fused with an organization’s…
AI news from 200+ sources
Get Started FreeGeneral AI
Softr launches AI-native platform to help nontechnical teams build business apps without code
Softr, the Berlin-based no-code platform used by more than one million builders and 7,000 organizations including Netflix, Google, and Stripe, today launched what it calls an AI-native platform — a bet that the explosive growth of AI-powered app creation tools has produced a market full of impressive demos but very little production-ready business software. The company's new AI Co-Builder lets non-technical users describe in plain language the software they need, and the platform generates a fully integrated system — database, user interface, permissions, and business logic included — connected and ready for real-world deployment immediately. The move marks a fundamental evolution for a company that spent five years building a no-code business before layering AI on top of what it describes as a proven infrastructure of constrained, pre-built building blocks. "Most AI app-builders stop at the shiny demo stage," Softr Co-Founder and CEO Mariam Hakobyan told VentureBeat in an exclusive in
Former BP CEO takes over Wyoming data center developer, as first woman leader of Big Oil giant becomes new BP chief
The former BP chief is entering the AI age with American data center projects.
With its new app store, Ring bets on AI to go beyond home security
Ring's app store will allow the company to target broader use cases beyond security, like elder care or business needs.
AWS launches frontier agents for security testing and cloud operations
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.
Amazon AI Blog
Treeline raises $25 million in Andreessen Horowitz-led funding to streamline IT services with AI
The round reflects growing investor interest in AI‑native platforms to modernize legacy outsourced IT.
Emerald AI raises $25 million from Nvidia and others to build a fast pass for data centers connecting to the grid
Emerald AI touts new fundraising success and partnerships with utilities and power generators.
Slack adds 30 AI features to Slackbot, its most ambitious update since the Salesforce acquisition
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
I tried Firefox's new AI 'Smart Window' in a beta build
Article URL: https://www.omgubuntu.co.uk/2026/03/firefox-smart-window-hands-on Comments URL: https://news.ycombinator.com/item?id=47585853 Points: 1 # Comments: 0
AI Has Flooded All the Weather Apps
Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
The Galaxy S26’s photo app can sloppify your memories
Love to see the BACKSST BOYS at the Sphere. The Google Pixel 9 walked so that the Samsung Galaxy S26 could run. Google introduced AI editing tools to Photos slowly. It started with changes to the background - make the sky more blue, or remove crowds of tourists. Things got weird once the company added natural language requests and let you ask for basically any change. There were some guardrails, but in many cases it was easy to prompt your way around them into creating a potentially harmful image of something that never happened - helicopter crashes, smoking bombs on street corners, that kind of thing. That's the world Samsung's updated Photo Assist steps into. At Unpacked in Febru … Read the full story at The Verge.
AI benchmarks are broken. Here’s what we need instead
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks. This framing is seductive: An AI vs. human comparison on isolated problems with clear…
Robotics
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles
The company turns footage from robots into structured, searchable datasets with a deep learning model.