AIToday
Welcome back
Today's Top AI News
Curated from 200+ sources across AI & machine learning
Fostering breakthrough AI innovation through customer-back engineering
Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions. Not prioritizing the customer can create fragmented solutions; disjointed…
Taiwan Semiconductor (TSM) Is Just Rolling In Billions Of Dollars, Says Newsletter
Everyone Wants What CoreWeave (CRWV) Has, Says Newsletter
General AI
Alphabet Explores First Yen Bond Sale for AI Expansion
The company continues raising capital to support AI infrastructure growth.
OpenAI launches DeployCo to help businesses build around intelligence
OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.
What Microsoft’s new research tells CFOs about the ROI of AI
The next AI challenge for CFOs may be management.
The new Wild West of AI kids' toys
Article URL: https://www.wired.com/story/the-new-wild-west-of-ai-kids-toys/ Comments URL: https://news.ycombinator.com/item?id=48093289 Points: 3 # Comments: 0
The new AI-powered Google Finance is expanding to Europe
This week, the new, AI-powered Google Finance is launching across Europe, with full local language support. This reimagined experience offers a suite of powerful capabil…
OpenAI Campus Network: Student club interest form
Join the OpenAI Campus Network—connect student clubs worldwide, access AI tools, host events, and build an AI-powered campus community.
I Work in Hollywood. Everyone Who Used to Make TV Is Now Secretly Training AI
For screenwriters like me—and job seekers all over—AI gig work is the new waiting tables. In eight months, I’ve done 20 of these soul-crushing contracts for five different platforms. It’s bad.
AI wins have Alphabet poised to become world’s biggest company
Over the past year, Alphabet has gone from an artificial intelligence afterthought to the one firm in the market with dominant positions in nearly every aspect of the technology.
Iran May Have Found a New Way to Threaten Trump’s Economy — And It’s Not Oil
The stock market has spent much of 2026 acting like geopolitical risk is just background noise. The S&P 500 keeps pushing toward record highs, AI spending remains red hot, and investors have largely shrugged off the widening conflict involving Iran. But what if Tehran found a pressure point far more dangerous than oil tankers? That’s ... Iran May Have Found a New Way to Threaten Trump’s Economy — And It’s Not Oil
![Lorein – A Persistent, Local-First AI Architecture [pdf]](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/hacker-news/65a84ade-6b28-40b3-8aab-bdb3eb027d62.png)
Lorein – A Persistent, Local-First AI Architecture [pdf]
Article URL: https://github.com/AnonymousNomad/LOREIN-Sovereign-Entity Comments URL: https://news.ycombinator.com/item?id=48087182 Points: 2 # Comments: 0
NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
I saw this on another sub and didn't see it posted here, it looks awesome, and can definitely be run local. I guess it was released 11 days ago, but it never hit the top of my feed (which I look at way too often), so posting it again. This is my take on it: Think of this as like scalable video coding, you have a UHD stream, but strip some layers and you have a HD, or SD stream, it's all a single file stream, not multiple ones. Like nested models, rather than 3 different sets, and they can share their KV cache so the model can adjust speed like a sliding scale. You get an idea with a 30B model, then scale down and permutate all the thinking at 7000t/s on the 12B model, generating a book of reasoning in seconds, then slide up to 30B again to evaluate what's good. You could have a 30B kind of guide the smaller ones back and forth. Maybe it's somewhat of a hybrid between Dense and MoE, it's like MoE but with 3 dense models that are like russian dolls. Original Post: NVIDIA just relea
WFY24 – A performance-first weather widget with 2km hyper-local AI forecasting
Article URL: https://wordpress.org/plugins/wfy24-weather-widget/ Comments URL: https://news.ycombinator.com/item?id=48084479 Points: 3 # Comments: 0
AI wins have Alphabet poised to become world’s biggest company
Google’s parent closed Friday with a market capitalization of $4.8 trillion. Nvidia was below that level on Tuesday, but a three-day rally into the end of the week pushed it to $5.2 trillion.
‘The gains will be substantial’: The AI shock is looking a lot like the China shock, and a top economist says that’s actually good news
From 2001 to 2019, China's production explosion accounted for nearly 60% of manufacturing job losses in the U.S.
We’re feeling cynical about xAI’s big deal with Anthropic
On the latest episode of the Equity podcast, we discussed what xAI's deal with Anthropic might mean for parent company SpaceX.
Voice AI in India is hard. Wispr Flow is betting on it anyway
Wispr Flow says growth accelerated in India after its Hinglish rollout, even as voice AI products continue to face challenges.
AI news from 200+ sources
Get Started FreeModels & Gen AI
SkyDrive, Osaka Metro Launch Japan’s First eVTOL Vertiport Consortium
The Toyota-based eVTOL maker joins Osaka Metro, Marubeni, Soracle, and local governments to commercialize the Osakako Vertiport on Osaka Bay. SkyDrive has launched Japan’s first consortium for the commercial operation and joint usage of an eVTOL vertiport. The Toyota-based company announced the partnership on May 8, 2026. The group will commercialize Osakako Vertiport, a dedicated […] The post SkyDrive, Osaka Metro Launch Japan’s First eVTOL Vertiport Consortium appeared first on DRONELIFE.
Nvidia Partnership With Anthropic And SpaceX Highlights AI Growth And Valuation
Anthropic and SpaceX have launched a major AI infrastructure partnership centered on Nvidia hardware. The Colossus 1 data center is set to deploy more than 220,000 Nvidia GPUs to power Anthropic's Claude models. The rollout is tied to Nvidia's GB300 systems and is described as one of the largest AI compute expansions globally. This collaboration underscores the role of NasdaqGS:NVDA in providing core infrastructure for large scale AI workloads. For you as an investor, this partnership...
Built a practical voice-first AI tool for ADHD/executive dysfunction — one-tap brain dump → structured reminders & tasks (not a full autonomous agent)
Not a full autonomous agent in the Auto-GPT / LangChain sense, but I built something that uses AI in a very practical, daily way for executive dysfunction / ADHD brains. SAVI is a one-tap voice capture tool. You just talk (brain dumps, tasks, random ideas), and it uses AI (Whisper + GPT-4o / Apple Intelligence) to turn the messy audio into: - Color-coded reminders (red/yellow/green priority) - Calendar events - Clean summaries It has a “Brain Dump” mode that stays patient with pauses and gently nudges “I’m still listening.” 300 free on-device minutes every month, runs fully on-device by default on iOS 26. It’s not doing tool-calling loops or autonomous workflows yet, but it removes almost all friction from the “capture → structure → act” cycle, which is where most of my executive dysfunction lives. If anyone here is building personal productivity tools or dealing with similar scattered-brain problems, I’d love feedback on how it feels compared to other AI agent / assistant setup
Ask HN: Will low quality AI customer support be the new normal?
Now whenever I reach for customer's support chat or phone I get an AI agent replying to me and I get into a useless loop for a couple of minutes before I start begging it to link me to a real person. Will companies start losing customers because of that or people will eventually get used to this? Comments URL: https://news.ycombinator.com/item?id=48087925 Points: 6 # Comments: 2
AI tool poisoning exposes a major flaw in enterprise agent security
AI agents choose tools from shared registries by matching natural-language descriptions. But no human is verifying whether those descriptions are true. I discovered this gap when I filed Issue #141 in the CoSAI secure-ai-tooling repository. I assumed it would be treated as a single risk entry. The repository maintainer saw it differently and split my submission into two separate issues: One covering selection-time threats (tool impersonation, metadata manipulation); the other covering execution-time threats (behavioral drift, runtime contract violation). That confirmed tool registry poisoning is not one vulnerability. It represents multiple vulnerabilities at every stage of the tool’s life cycle. There’s an immediate tendency to apply the defenses we already have. Over the past 10 years, we’ve built software supply chain controls, including code signing, software bill of materials (SBOMs), supply-chain levels for software Artifacts (SLSA) provenance, and Sigstore. Applying these defe
Anthropic says ‘evil’ portrayals of AI were responsible for Claude’s blackmail attempts
Fictional portrayals of artificial intelligence can have a real effect on AI models, according to Anthropic.
Mostly the first breakup AI agent that delivers your breakup over iMessage
Article URL: https://behalf.love Comments URL: https://news.ycombinator.com/item?id=48085873 Points: 1 # Comments: 2
Newbie question, how to set up an agent?
Hi, I am an old guy and have no idea about AI. So please teach me step by step. I am a toy seller. I receive lots of new toys promotions from different toy companies. I need make a quick decision, buy or not? If so, how many should I order? I tried Gemini. I set it rules and it works well with one entry. But when I uploaded excel. It replied me some none senses. How to set up an agent can help me to deal with multi-data? submitted by /u/hongger2077 [link] [comments]
I've set out to build a new low-level DSL called agtx... any requested features?
Hello everyone, I've officially started building .agtx which is a new low-level, declarative language designed specifically for building, routing, and sandboxing AI agents with zero boilerplate. The goal is to completely ditch the heavy OOP wrappers and massive config files (looking at you, langchain). Instead, everything is declared inline using native primitives. And It will compile down to plain JS under the hood. I'm currently about to start, the goal is to make a coding agent possible in under 10 lines of code... My question to you is: what features would you want to see? Let me know what you think! submitted by /u/Icy-Ebb9716 [link] [comments]
Business & Industry
Implementing advanced AI technologies in finance
In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact. The result is a paradox: one of the most tightly regulated functions…
How enterprises are scaling AI
How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.