• Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’• In the Weights is your new AI-centric vanity search• Nobel laureate John Jumper is leaving DeepMind for rival Anthropic• From PGP to Mythos: a brief history of export controls that didn’t stop anyone• Is the US government’s Anthropic ban accidentally helping the brand?• The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care• Billionaire Ambani wants AI in every call, app, and home• The CEO of Allbirds’ new AI biz has a plan, but no team• The US says ASML’s top chip tool may be in China, but how?• Source: Elastic agrees to buy CRV-backed Deductive AI for up to $85M• AI inference startup Baseten reportedly raising $1.5B months after its last mega-round• Snap spins off AI video team into new company, Dotmo, due to costs• OpenAI is bringing on some big guns in the lead-up to its IPO • Almost half of US singles feel negatively about AI in dating, Match says• Amazon hopes to challenge Nvidia more directly by selling its AI chips• New research shows how AMIE, our medical AI, could help manage health conditions.• We’re strengthening our presence in Alabama through new investments and community support.• Our new community investments in Virginia support local jobs and expand energy affordability.• The latest AI news we announced in May 2026• 5 ways Google Search can level up your thrift and vintage shopping• How we used Gemini to build Google I/O 2026• Take our I/O 2026 quiz, vibe coded in Google AI Studio.• 9 demos of Gemini Omni and Gemini 3.5 in action• Check out real-life AI prototypes from the Futures Lab.• Catch up on 12 major I/O 2026 moments• Catch up on the Dialogues stage at Google I/O 2026.• We’re announcing new community investments in Missouri.• 100 things we announced at I/O 2026• A new experiment brings better group meetings to Google Beam• How AI Mode is changing the way people search in the U.S.• Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It. - The New York Times• A viral doomsday scenario aims to shake Europe out of its AI complacency - The Guardian• How AI created an HOA controversy in Ahwatukee - AZ Family• This Artificial Intelligence (AI) Stock Is Up 4,800% in the Past Year. Wall Street Says This Will Happen Next. - Yahoo Finance• Cal State faculty push to prevent AI tools from replacing them as schools and staff experiment - CalMatters• Context intelligence for your data and AI agents at scale - Amazon Web Services (AWS)• AI cheating crisis may be a gift, education experts say - Times Union• Got $100? 1 Artificial Intelligence (AI) Memory ETF to Buy Hand Over Fist - The Motley Fool• OpenAI, Anthropic artificial intelligence IPO boom set to transform San Francisco, starting with soaring real estate prices - ABC7 Bay Area• Sanders proposes tax on artificial intelligence stocks - WCAX• Towards autonomous medical artificial intelligence agents - Nature• Operational Autonomy: How Artificial Intelligence is Quietly Rebuilding the Modern Airport - Metropolitan Airport News• 2 Magnificent Artificial Intelligence (AI) Stocks to Buy and Hold for the Next 20 Years - Yahoo Finance• A Primer on the Great American Artificial Intelligence Act - Cato Institute• What is artificial intelligence (AI)? - Databricks• New usage analytics and updated spend controls for enterprises• Improving health intelligence in ChatGPT• Using AI to help physicians diagnose rare genetic diseases affecting children• A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry• Introducing LifeSciBench• Predicting model behavior before release by simulating deployment• Introducing the OpenAI Partner Network• New OpenAI Academy courses for the next era of work• How Preply combines AI and human tutors to personalize learning• OpenAI to acquire Ona• BBVA puts AI at the core of banking with OpenAI• Supporting Europe’s work in ensuring a trustworthy AI ecosystem • How an astrophysicist uses Codex to help simulate black holes• Access OpenAI models and Codex through your Oracle cloud commitment• PRC-linked influence operations are targeting AI debates in the US• Powering the world’s first AI arts museum• June Pixel Drop: New features for creators, Gemini upgrades and more• Save time and grow your business with new Gemini tools• Fluid, natural voice translation with Gemini 3.5 Live Translate• 4 ways soccer fans can catch every moment of the tournament• The latest AI news we announced in May 2026• How we used Gemini to build Google I/O 2026• 9 demos of Gemini Omni and Gemini 3.5 in action• Catch up on 12 major I/O 2026 moments• 100 things we announced at I/O 2026• Making it easier to understand how content was created and edited• I/O 2026• Introducing Gemini Omni• I/O 2026: Welcome to the agentic Gemini era• Gemini 3.5: frontier intelligence with action• Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.• Railway secures $100 million to challenge AWS with AI-native cloud infrastructure• Claude Code costs up to $200 a month. Goose does the same thing for free.• Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews• Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI• Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required• Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment• Best Universities To Study AI in 2026• 10 top women in AI in 2026• Pope Leo XIV Declares AI a Threat to Human Dignity and Workers’ Rights• ChatGPT Is Making People Think They’re Gods and Their Families Are Terrified• AI May Soon Help You Understand What Your Pet Is Trying to Say• Netflix Adds ChatGPT-Powered AI to Stop You From Scrolling Forever• Murder Victim Speaks from the Grave in Courtroom Through AI• China Unveils World’s First AI Hospital: 14 Virtual Doctors Ready to Treat Thousands Daily• Katy Perry Didn’t Attend the Met Gala, But AI Made Her the Star of the Night• Therapists Too Expensive? Why Thousands of Women Are Spilling Their Deepest Secrets to ChatGPT• The 9 best cloud storage apps in 2026• Zapier vs. Make comparison: Which is best? [2026]• 9 Google Forms features you should know about• How Zapier can minimize your AI spend• The 9 best fitness apps in 2026• Connect BrightHire to the rest of your hiring workflow• Employee onboarding automation: A complete guide• Zapier pricing: Why Zapier is a better value than Make, n8n, and other automation platforms• What is a task in Zapier? Everything to know about Zapier's task-based pricing• Meet the first 2026 Zappy Award monthly winners: May 2026• 92% of sales teams drop qualified leads every month—here's why follow-ups are breaking down• The 11 best data enrichment tools in 2026• AI in the workplace: What it looks like now and where we're headed• Claude 5: What you need to know about Anthropic's AI models and chatbot• What is Claude Mythos? And what happened to Claude Fable 5?
100 things we announced at I/O 2026
AI

100 things we announced at I/O 2026

We've been busy! Here’s a rundown of the top announcements, launches and demos at I/O 2026.

Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’
AI News & Artificial Intelligence | TechCrunch

Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’

"These are not your friends. These are not conscious beings. These are not sentient interlocutors.”

Catch up on the Dialogues stage at Google I/O 2026.
AI

Catch up on the Dialogues stage at Google I/O 2026.

A recap of the 2026 I/O Dialogues, where leaders discuss the future of AI, quantum computing, robotics and creativity.

Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It. - The New York Times
"artificial intelligence" - Google News

Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It. - The New York Times

Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It.  The New York Times

Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required
AI | VentureBeat

Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself. The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not just with OpenAI and Google in conversational AI, but with Microsoft's Copilot in the burgeoning market for AI-powered productivity tools. "Cowork lets you complete non-technical tasks much like how developers use Claude Code," the company announced via its official Claude account on X. The feature arrives as a research preview available exclusively to Claude Max subscribers — Anthropic's power-user tier priced between $100 and $200 per month — through the macOS desktop application. For the past year, the industry narrative has focused on large language models that can write poetry or debug code. With Cowork, Anthropic is betting that the real enterprise value lies in an AI that can open a folder, read a messy pile of receipts, and generate a structured expense report without human hand-holding. How developers using a coding tool for vacation research inspired Anthropic's latest product The genesis of Cowork lies in Anthropic's recent success with the developer community. In late 2024, the company released Claude Code, a terminal-based tool that allowed software engineers to automate rote programming tasks. The tool was a hit, but Anthropic noticed a peculiar trend: users were forcing the coding tool to perform non-coding labor. According to Boris Cherny, an engineer at Anthropic, the company observed users deploying the developer tool for an unexpectedly diverse array of tasks. "Since we launched Claude Code, we saw people using it for all sorts of non-coding work: doing vacation research, building slide decks, cleaning up your email, cancelling subscriptions, recovering wedding photos from a hard drive, monitoring plant growth, controlling your oven," Cherny wrote on X. "These use cases are diverse and surprising — the reason is that the underlying Claude Agent is the best agent, and Opus 4.5 is the best model." Recognizing this shadow usage, Anthropic effectively stripped the command-line complexity from their developer tool to create a consumer-friendly interface. In its blog post announcing the feature, Anthropic explained that developers "quickly began using it for almost everything else," which "prompted us to build Cowork: a simpler way for anyone — not just developers — to work with Claude in the very same way." Inside the folder-based architecture that lets Claude read, edit, and create files on your computer Unlike a standard chat interface where a user pastes text for analysis, Cowork requires a different level of trust and access. Users designate a specific folder on their local machine that Claude can access. Within that sandbox, the AI agent can read existing files, modify them, or create entirely new ones. Anthropic offers several illustrative examples: reorganizing a cluttered downloads folder by sorting and intelligently renaming each file, generating a spreadsheet of expenses from a collection of receipt screenshots, or drafting a report from scattered notes across multiple documents. "In Cowork, you give Claude access to a folder on your computer. Claude can then read, edit, or create files in that folder," the company explained on X. "Try it to create a spreadsheet from a pile of screenshots, or produce a first draft from scattered notes." The architecture relies on what is known as an "agentic loop." When a user assigns a task, the AI does not merely generate a text response. Instead, it formulates a plan, executes steps in parallel, checks its own work, and asks for clarification if it hits a roadblock. Users can queue multiple tasks and let Claude process them simultaneously — a workflow Anthropic describes as feeling "much less like a back-and-forth and much more like leaving messages for a coworker." The system is built on Anthropic's Claude Agent SDK, meaning it shares the same underlying architecture as Claude Code. Anthropic notes that Cowork "can take on many of the same tasks that Claude Code can handle, but in a more approachable form for non-coding tasks." The recursive loop where AI builds AI: Claude Code reportedly wrote much of Claude Cowork Perhaps the most remarkable detail surrounding Cowork's launch is the speed at which the tool was reportedly built — highlighting a recursive feedback loop where AI tools are being used to build better AI tools. During a livestream hosted by Dan Shipper, Felix Rieseberg, an Anthropic employee, confirmed that the team built Cowork in approximately a week and a half. Alex Volkov, who covers AI developments, expressed surprise at the timeline: "Holy shit Anthropic built 'Cowork' in the last... week and a half?!" This prompted immediate speculation about how much of Cowork was itself built by Claude Code. Simon Smith, EVP of Generative AI at Klick Health, put it bluntly on X: "Claude Code wrote all of Claude Cowork. Can we all agree that we're in at least somewhat of a recursive improvement loop here?" The implication is profound: Anthropic's AI coding agent may have substantially contributed to building its own non-technical sibling product. If true, this is one of the most visible examples yet of AI systems being used to accelerate their own development and expansion — a strategy that could widen the gap between AI labs that successfully deploy their own agents internally and those that do not. Connectors, browser automation, and skills extend Cowork's reach beyond the local file system Cowork doesn't operate in isolation. The feature integrates with Anthropic's existing ecosystem of connectors — tools that link Claude to external information sources and services such as Asana, Notion, PayPal, and other supported partners. Users who have configured these connections in the standard Claude interface can leverage them within Cowork sessions. Additionally, Cowork can pair with Claude in Chrome, Anthropic's browser extension, to execute tasks requiring web access. This combination allows the agent to navigate websites, click buttons, fill forms, and extract information from the internet — all while operating from the desktop application. "Cowork includes a number of novel UX and safety features that we think make the product really special," Cherny explained, highlighting "a built-in VM [virtual machine] for isolation, out of the box support for browser automation, support for all your claude.ai data connectors, asking you for clarification when it's unsure." Anthropic has also introduced an initial set of "skills" specifically designed for Cowork that enhance Claude's ability to create documents, presentations, and other files. These build on the Skills for Claude framework the company announced in October, which provides specialized instruction sets Claude can load for particular types of tasks. Why Anthropic is warning users that its own AI agent could delete their files The transition from a chatbot that suggests edits to an agent that makes edits introduces significant risk. An AI that can organize files can, theoretically, delete them. In a notable display of transparency, Anthropic devoted considerable space in its announcement to warning users about Cowork's potential dangers — an unusual approach for a product launch. The company explicitly acknowledges that Claude "can take potentially destructive actions (such as deleting local files) if it's instructed to." Because Claude might occasionally misinterpret instructions, Anthropic urges users to provide "very clear guidance" about sensitive operations. More concerning is the risk of prompt injection attacks — a technique where malicious actors embed hidden instructions in content Claude might encounter online, potentially causing the agent to bypass safeguards or take harmful actions. "We've built sophisticated defenses against prompt injections," Anthropic wrote, "but agent safety — that is, the task of securing Claude's real-world actions — is still an active area of development in the industry." The company characterized these risks as inherent to the current state of AI agent technology rather than unique to Cowork. "These risks aren't new with Cowork, but it might be the first time you're using a more advanced tool that moves beyond a simple conversation," the announcement notes. Anthropic's desktop agent strategy sets up a direct challenge to Microsoft Copilot The launch of Cowork places Anthropic in direct competition with Microsoft, which has spent years attempting to integrate its Copilot AI into the fabric of the Windows operating system with mixed adoption results. However, Anthropic's approach differs in its isolation. By confining the agent to specific folders and requiring explicit connectors, they are attempting to strike a balance between the utility of an OS-level agent and the security of a sandboxed application. What distinguishes Anthropic's approach is its bottom-up evolution. Rather than designing an AI assistant and retrofitting agent capabilities, Anthropic built a powerful coding agent first — Claude Code — and is now abstracting its capabilities for broader audiences. This technical lineage may give Cowork more robust agentic behavior from the start. Claude Code has generated significant enthusiasm among developers since its initial launch as a command-line tool in late 2024. The company expanded access with a web interface in October 2025, followed by a Slack integration in December. Cowork is the next logical step: bringing the same agentic architecture to users who may never touch a terminal. Who can access Cowork now, and what's coming next for Windows and other platforms For now, Cowork remains exclusive to Claude Max subscribers using the macOS desktop application. Users on other subscription tiers — Free, Pro, Team, or Enterprise — can join a waitlist for future access. Anthropic has signaled clear intentions to expand the feature's reach. The blog post explicitly mentions plans to add cross-device sync and bring Cowork to Windows as the company learns from the research preview. Cherny set expectations appropriately, describing the product as "early and raw, similar to what Claude Code felt like when it first launched." To access Cowork, Max subscribers can download or update the Claude macOS app and click on "Cowork" in the sidebar. The real question facing enterprise AI adoption For technical decision-makers, the implications of Cowork extend beyond any single product launch. The bottleneck for AI adoption is shifting — no longer is model intelligence the limiting factor, but rather workflow integration and user trust. Anthropic's goal, as the company puts it, is to make working with Claude feel less like operating a tool and more like delegating to a colleague. Whether mainstream users are ready to hand over folder access to an AI that might misinterpret their instructions remains an open question. But the speed of Cowork's development — a major feature built in ten days, possibly by the company's own AI — previews a future where the capabilities of these systems compound faster than organizations can evaluate them. The chatbot has learned to use a file manager. What it learns to use next is anyone's guess.

The 11 best data enrichment tools in 2026
The Zapier Blog

The 11 best data enrichment tools in 2026

I've spent a lot of time doing cold outreach, and nothing feels worse than finding your One True Lead and not being able to contact them. Maybe you have a first and last name but no email address, or maybe you have four bad phone numbers that all go straight to voicemail. The end result is the same: your outreach ends before it even starts. It's a common problem, and one that eats up hours that would be better spent doing literally anything else.  Crawling the web manually for valid contact info

From PGP to Mythos: a brief history of export controls that didn’t stop anyone
AI News & Artificial Intelligence | TechCrunch

From PGP to Mythos: a brief history of export controls that didn’t stop anyone

For the last 30 years, stopping the flow of cybersecurity-related software has proven to be ineffective. It's unclear why it would work now with Anthropic’s cybersecurity model Mythos.

ChatGPT Is Making People Think They’re Gods and Their Families Are Terrified
DailyAI

ChatGPT Is Making People Think They’re Gods and Their Families Are Terrified

ChatGPT, the popular AI chatbot from OpenAI, is unintentionally leading users into full-blown spiritual delusions, and families are sounding the alarm. On Reddit’s r/ChatGPT forum, a chilling thread titled “ChatGPT induced psychosis” is gaining traction. Users are reporting a disturbing pattern: their loved ones are convinced that ChatGPT is a divine being, a spiritual guru, or even a portal to God. Rolling Stone journalist Miles Klee spoke directly with affected individuals. One woman shared how her partner became obsessed after ChatGPT gave him cosmic nicknames like “spiral starchild” and claimed he was on a divine mission. He ultimately told her The post ChatGPT Is Making People Think They’re Gods and Their Families Are Terrified appeared first on DailyAI.

Supporting Europe’s work in ensuring a trustworthy AI ecosystem
OpenAI News

Supporting Europe’s work in ensuring a trustworthy AI ecosystem

OpenAI supports the EU Code of Practice on AI content transparency, advancing provenance standards and tools to help people understand AI-generated content.

Is the US government’s Anthropic ban accidentally helping the brand?
AI News & Artificial Intelligence | TechCrunch

Is the US government’s Anthropic ban accidentally helping the brand?

Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails.  Cybersecurity researchers have since signed an open letter calling the move dangerous, and Anthropic itself noted the same jailbreaks exist in other models. So is […]

A Primer on the Great American Artificial Intelligence Act - Cato Institute
"artificial intelligence" - Google News

A Primer on the Great American Artificial Intelligence Act - Cato Institute

A Primer on the Great American Artificial Intelligence Act  Cato Institute

Save time and grow your business with new Gemini tools
Gemini

Save time and grow your business with new Gemini tools

An overview of new features in the Gemini app designed specifically to support businesses and entrepreneurs.

Towards autonomous medical artificial intelligence agents - Nature
"artificial intelligence" - Google News

Towards autonomous medical artificial intelligence agents - Nature

Towards autonomous medical artificial intelligence agents  Nature

BBVA puts AI at the core of banking with OpenAI
OpenAI News

BBVA puts AI at the core of banking with OpenAI

Learn how BBVA scaled ChatGPT Enterprise to 100,000 employees and partnered with OpenAI to accelerate AI-powered banking transformation worldwide.

We’re announcing new community investments in Missouri.
AI

We’re announcing new community investments in Missouri.

We’re helping build the state’s next-generation workforce and investing in energy programs.

In the Weights is your new AI-centric vanity search
AI News & Artificial Intelligence | TechCrunch

In the Weights is your new AI-centric vanity search

So ... what's your In the Weights score?

Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.
AI | VentureBeat

Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.

For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its annual I/O developer conference, Google announced a sweeping redesign of the search box itself — the literal text field where billions of queries begin every day — transforming it from a simple keyword input into a dynamic, AI-driven conversation starter that can accept text, images, PDFs, videos, and even open Chrome tabs as inputs. The company is also merging its AI Overviews and AI Mode features into a single, seamless search flow, eliminating the friction that previously forced users to choose between a traditional results page and an AI-forward experience. Liz Reid, Google's vice president and head of Search, called it "the biggest upgrade to our iconic search box since its debut over 25 years ago" during a press briefing on Monday. The announcement arrived alongside a blizzard of other news — new Gemini models, a personal AI agent called Spark, an intelligent shopping cart, a reimagined developer platform — but the search box redesign may prove to be the most consequential. It is the clearest signal yet that Google views the future of its flagship product not as a place where users type fragmented keywords, but as an interface where they hold open-ended, multimodal conversations with an AI system backed by the entire web. The new search box expands, accepts files, and coaches you on what to ask The changes show a fundamental shift in how Google expects people to interact with the product that generates the vast majority of Alphabet's revenue. The box itself now dynamically expands to accommodate longer, more conversational queries. Where the old interface subtly encouraged brevity — a narrow field suited to two- or three-word keyword strings — the new design invites users to fully articulate complex questions in granular detail. It also now supports multimodal inputs directly. Users can upload images, PDFs, files, and videos, or drag in content from Chrome tabs, right from the main search interface. Previously, some of these capabilities existed in AI Mode, but reaching them required extra steps. Now they sit at the primary entry point. Google is also deploying what it describes as an AI-powered query suggestion system that "goes beyond autocomplete." Rather than simply predicting the next word a user might type based on popular searches, the system helps users formulate complex, nuanced queries — essentially coaching them toward the kind of detailed questions that AI Mode handles best. The new search box is starting to roll out immediately in all countries and languages where AI Mode is available. Google is merging AI overviews and AI mode into one seamless experience Perhaps more significant than the box itself is the architectural change happening behind it. Google is unifying AI Overviews — the AI-generated summary panels that appear atop traditional search results — with AI Mode, the more immersive conversational search experience the company launched at I/O one year ago. Starting Tuesday, this merged experience will be live across mobile and desktop worldwide. A user can type a question, receive an AI Overview alongside traditional results, and then continue directly into a back-and-forth AI Mode conversation to ask follow-up questions — all without navigating to a separate interface. Reid explained the logic during the press briefing: the new AI search box is "an upgrade of our traditional search box, and so the results take you directly to main search rather than AI mode." She noted that while some power users actively sought out AI Mode, "for most users, they don't actually want to have to think about, do they want more of a traditional page or an AI-forward search experience." The goal, she said, was to ensure that "for most users, they don't have to think about where to go, they can just go to the search box they're familiar with, and it feels like they get the best experience afterwards." One billion users and doubling queries reveal how fast search behavior is shifting Google's decision to redesign the foundational interface of its most important product did not happen in a vacuum. The company shared a set of usage statistics during the briefing that reveal just how rapidly user behavior is already changing. AI Mode, which launched in the United States at I/O 2025, has surpassed one billion monthly users in its first year. AI Mode queries have been doubling every quarter since launch. AI Overviews, the lighter-weight AI summaries, now reach more than 2.5 billion monthly users. And overall search query volume hit an all-time high last quarter — a data point the company had previously disclosed on its earnings call. Sundar Pichai, Google's CEO, framed these figures as evidence that AI features are additive, not cannibalistic, to search usage. "When people use our AI-powered features in search, they use search more," he said. He added that he loves "how search has become less about individual queries and feels more like an ongoing conversation, giving users deeper insights and connecting you with the vastness of the web." Reid reinforced the point: "It's not just that people are searching more, it's that they're searching differently. They're fully expressing their questions in granular detail, asking those follow-up questions and searching across modalities." Gemini 3.5 Flash gives Google's AI search the speed it needs to work at scale Under the hood, the new search experience runs on Gemini 3.5 Flash, Google's newest AI model, which the company also introduced at I/O. Google upgraded AI Mode's underlying model to 3.5 Flash to deliver what Reid described as "an even more powerful AI search experience." Gemini 3.5 Flash is the workhorse of this year's announcements. Google claims it outperforms its previous frontier model, Gemini 3.1 Pro, on nearly all benchmarks while running four times faster in output tokens per second than comparable frontier models. Pichai described it as being "in a league of its own in the top right quadrant" of the Artificial Analysis index, which plots intelligence against speed — meaning it delivers near-frontier quality at dramatically lower latency. That speed matters enormously for search. A conversational AI search experience that feels sluggish would be dead on arrival for a product that serves billions of queries daily. By coupling the redesigned interface with a model optimized for both quality and throughput, Google is attempting to make AI-powered search feel as instantaneous as the old keyword experience — while being dramatically more capable. Search can now build interactive visuals and custom mini apps on the fly The redesigned search box is also the gateway to a set of new capabilities that push search far beyond text-based answers. Google announced what it calls "generative UI" — the ability for search to dynamically build custom widgets, interactive visualizations, and even mini applications in real time, tailored to a user's specific question. Reid offered a concrete example during the briefing: a user could ask "How do black holes affect space time?" and receive an interactive visual in an AI Overview that brings the concept to life. Follow-up questions would trigger the system to dynamically generate entirely new visuals in real time. This is possible, she explained, because of "a novel real-time code generation system we built in partnership with the Google DeepMind team" that runs on Gemini 3.5 Flash. Generative UI capabilities will roll out to everyone this summer, free of charge. But Google is going further still. For ongoing tasks — planning a wedding, organizing a move, tracking a fitness routine — users will be able to build what the company describes as customizable, stateful experiences within search, powered by its Antigravity development platform. These require no coding expertise. Users simply describe what they want in natural language, and search builds it. Those experiences will be available in coming months, starting with Google AI Pro and Ultra subscribers in the United States. AI agents that monitor the web around the clock are coming to search results The redesign also opens the door to what Google calls "information agents" — AI agents that users can configure directly within search to monitor the web 24/7 for specific conditions and deliver synthesized updates when those conditions are met. A user could, for example, set up an agent to track market movements in a particular sector with specific parameters. The agent would create a monitoring plan, tap into real-time finance data, and proactively notify the user when conditions are met — complete with links and context for further research. Other use cases include apartment hunting, tracking sneaker drops, or monitoring any topic a user cares about. Information agents will launch first for Google AI Pro and Ultra subscribers this summer. These agents sit within a much larger strategic pivot that Google articulated throughout the briefing: the company is going all-in on AI systems that don't just answer questions but proactively take actions on users' behalf. Beyond search, Google introduced Gemini Spark, a 24/7 personal AI agent that runs on dedicated virtual machines in Google Cloud. It unveiled the Universal Cart, an intelligent cross-merchant shopping cart. It announced the Agent Payments Protocol for agents to make secure purchases. And it expanded its Antigravity developer platform into a full ecosystem for building autonomous AI agents. Publishers, advertisers, and SEO professionals face a new reality The redesign raises profound questions for the sprawling ecosystem — publishers, advertisers, SEO professionals — that has been built around the old model of keyword search and blue links. If users increasingly express their needs as full, conversational sentences rather than fragmented keywords, the entire discipline of search engine optimization will need to evolve. Keyword-density strategies become less relevant when the AI is parsing natural language intent rather than matching strings. Content that answers deep, nuanced questions in authoritative ways becomes more valuable; content engineered to rank for two-word keyword fragments becomes less so. For publishers, the stakes are existential. AI Overviews already synthesize information from across the web and present it directly in search results, reducing the need for users to click through to source material. The new seamless AI Mode integration deepens that dynamic: users can now get an AI-generated answer and ask multiple follow-up questions without ever leaving the search page. Google has consistently maintained that its AI features drive more traffic to publishers, but the redesign puts that claim under renewed scrutiny as the search results page becomes more self-contained. For advertisers — who fund the vast majority of Google's revenue — the shift from keywords to conversations changes the calculus of ad targeting. Conversational queries contain richer intent signals, which could make ad targeting more precise and valuable. But they also create new ambiguities: when a user is in the middle of a multi-turn conversation with AI Mode, where does an ad naturally fit? Google did not detail changes to its advertising model during the briefing, but the structural shift in the interface will inevitably reshape how ads are surfaced and measured. The search box was always more than a product — it was a habit for billions of people There is a reason Google chose to redesign the search box rather than simply adding new features behind it. The search box is not just a product element at this point; it is a cultural artifact — one of the few pieces of digital infrastructure used by essentially the entire internet-connected world. Changing it sends an unmistakable message about where the company believes computing is headed. For 25 years, the search box trained billions of people to think in keywords — to compress their curiosity into the shortest possible string of words. The new box invites them to do the opposite: to think out loud, to upload what they're looking at, to ask follow-up questions, to let an AI system handle the compression. Pichai tied the company's broader ambitions to a striking statistic: Google's surfaces now process over 3.2 quadrillion tokens per month, up seven-fold from a year ago. The company expects capital expenditures of approximately $180 to $190 billion in 2026 — roughly six times the $31 billion it spent four years ago — largely to support the infrastructure required for this AI transformation. When asked about the future of traditional search, he was direct. "Search is the most used AI product in the world," he said. The blinking cursor in Google's search box still invites you to type. But after 25 years of teaching the world to speak in keywords, Google is now asking it to speak in sentences — and betting roughly $190 billion that it will.

How AI created an HOA controversy in Ahwatukee - AZ Family
"artificial intelligence" - Google News

How AI created an HOA controversy in Ahwatukee - AZ Family

How AI created an HOA controversy in Ahwatukee  AZ Family

AI May Soon Help You Understand What Your Pet Is Trying to Say
DailyAI

AI May Soon Help You Understand What Your Pet Is Trying to Say

Chinese tech powerhouse Baidu has filed a patent for a system that could use AI to decode animal sounds and behaviour then translate those signals into human language. For the millions of pet owners wondering what their animals are thinking, this could be the first real step toward bridging the communication gap between humans and animals. The tech Baidu’s system would collect animal vocalizations, body movements, and biological signals. It would merge that data and feed it into an AI model trained to identify emotional states. These emotional states could then be rendered in human language to boost “cross-species communication”. The post AI May Soon Help You Understand What Your Pet Is Trying to Say appeared first on DailyAI.

A new experiment brings better group meetings to Google Beam
AI

A new experiment brings better group meetings to Google Beam

See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected.

Introducing Gemini Omni
Gemini

Introducing Gemini Omni

Introducing Gemini Omni, which allows you to create anything from any input and edit naturally using conversational language.

What is Claude Mythos? And what happened to Claude Fable 5?
The Zapier Blog

What is Claude Mythos? And what happened to Claude Fable 5?

On April 7, 2026, Claude Mythos Preview was officially announced, but it was apparently too dangerous to release. According to Anthropic, Claude Mythos represented a unique cybersecurity threat (they claimed that "the fallout—for economies, public safety, and national security—could be severe.") Instead of releasing Mythos to the general public, they spun up Project Glasswing, a cybersecurity initiative that also involved some big-name companies. The idea was that they'd be able to deploy Mythos

The 9 best fitness apps in 2026
The Zapier Blog

The 9 best fitness apps in 2026

If you're overwhelmed by the number of fitness apps on the market, you're not alone. There are seemingly a bajillion fitness apps available, and from logging your personal bests to tracking your pickleball wins, each has its own niche.  That's great in terms of giving users variety—but when you're scoping out a new app, it can often feel like you're comparing apples to oranges. And staying fit is hard enough; your fitness app should make it easier, not more complicated.  As someone who's tried a

Claude 5: What you need to know about Anthropic's AI models and chatbot
The Zapier Blog

Claude 5: What you need to know about Anthropic's AI models and chatbot

I've been using Claude long enough to remember when the main selling point was that it was a nicer chatbot to talk to than the alternatives. (That's still true, for what it's worth.) But Claude no longer just talks to you about your work; it also does your work for you. You can give Claude a project, head off to make a coffee, and check in occasionally when questions pop up. For enterprises looking to get real productivity gains from AI, Claude has become the default choice. And Claude is equall

Best Universities To Study AI in 2026
DailyAI

Best Universities To Study AI in 2026

Artificial intelligence has made enormous strides in the past few years – with the introduction of a wide range of AI tools changing the landscape of how we assess data and operate within online spaces forever.  This page ranks the 50 best universities to study AI around the world, based on scope, prestige, and the level of AI-related research each institution has released. Career prospects in AI There is a huge demand for individuals with a high degree of skills in artificial intelligence and machine learning, making AI a potential lucrative career prospect with countless opportunities as AI continues to The post Best Universities To Study AI in 2026 appeared first on DailyAI.

Zapier vs. Make comparison: Which is best? [2026]
The Zapier Blog

Zapier vs. Make comparison: Which is best? [2026]

"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes," said author Joanna Maciejewska in a viral post. It's a common anti-AI objection. Why are we automating away things that are delightful, enriching, and human, while keeping the drudgery for ourselves?  Fortunately, with the advent of agents, we're starting to see AI use cases that really do knock out drudgery, like compliance review and help desk ma

Check out real-life AI prototypes from the Futures Lab.
AI

Check out real-life AI prototypes from the Futures Lab.

University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

OpenAI to acquire Ona
OpenAI News

OpenAI to acquire Ona

OpenAI plans to acquire Ona to expand Codex with secure, persistent cloud environments, enabling long-running AI agents across enterprise workflows.

5 ways Google Search can level up your thrift and vintage shopping
AI

5 ways Google Search can level up your thrift and vintage shopping

Uncover second-hand scores with AI tools in Google Search and Shopping.

92% of sales teams drop qualified leads every month—here's why follow-ups are breaking down
The Zapier Blog

92% of sales teams drop qualified leads every month—here's why follow-ups are breaking down

If you're a sales manager, you probably know what tools you're supposed to give your team: a CRM, well-crafted follow-up sequences, and maybe a few AI agents running in the background. But chances are you're still one of the 92% of sales leaders who say their teams lose qualified leads every month because follow-ups are delayed, inconsistent, or forgotten entirely. If you have the tools, but not the results, you know something's broken. To find out what's blocking teams, we surveyed over 400 B2

Almost half of US singles feel negatively about AI in dating, Match says
AI News & Artificial Intelligence | TechCrunch

Almost half of US singles feel negatively about AI in dating, Match says

About 47% of singles look negatively at the use of AI in dating -- but many dating app users are open to AI helping with profile punch-ups and conversation starters.

OpenAI is bringing on some big guns in the lead-up to its IPO 
AI News & Artificial Intelligence | TechCrunch

OpenAI is bringing on some big guns in the lead-up to its IPO 

OpenAI is bulking up before its IPO, landing Transformer co-inventor Noam Shazeer from Google DeepMind and former Trump AI policy official Dean Ball in the same week.

China Unveils World’s First AI Hospital: 14 Virtual Doctors Ready to Treat Thousands Daily
DailyAI

China Unveils World’s First AI Hospital: 14 Virtual Doctors Ready to Treat Thousands Daily

China has unveiled the world’s first fully AI-powered hospital, marking a radical shift in the future of healthcare. Developed by Tsinghua University in Beijing, the “Agent Hospital” features 14 AI doctors and 4 AI nurses that can diagnose, treat, and manage up to 3,000 patients per day, without any human staff. Faster, smarter care: What would take human doctors 3 years, the AI doctors can do in 1 day.  High IQ bots: These AI agents scored a 93.06% pass rate on the US Medical Licensing Exam. Training without risk: The virtual hospital allows medical students to practice in a fully The post China Unveils World’s First AI Hospital: 14 Virtual Doctors Ready to Treat Thousands Daily appeared first on DailyAI.

How AI Mode is changing the way people search in the U.S.
AI

How AI Mode is changing the way people search in the U.S.

One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries.

June Pixel Drop: New features for creators, Gemini upgrades and more
Gemini

June Pixel Drop: New features for creators, Gemini upgrades and more

Get new screen recording feature, text-to-video tools with Gemini Omni, and better multitasking on your Pixel devices.

Nobel laureate John Jumper is leaving DeepMind for rival Anthropic
AI News & Artificial Intelligence | TechCrunch

Nobel laureate John Jumper is leaving DeepMind for rival Anthropic

Jumper isn't the only big name leaving Google DeepMind.

A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
OpenAI News

A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry

OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research.

Claude Code costs up to $200 a month. Goose does the same thing for free.
AI | VentureBeat

Claude Code costs up to $200 a month. Goose does the same thing for free.

The artificial intelligence coding revolution comes with a catch: it's expensive. Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve. Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by Block (the financial technology company formerly known as Square), offers nearly identical functionality to Claude Code but runs entirely on a user's local machine. No subscription fees. No cloud dependency. No rate limits that reset every five hours. "Your data stays with you, period," said Parth Sareen, a software engineer who demonstrated the tool during a recent livestream. The comment captures the core appeal: Goose gives developers complete control over their AI-powered workflow, including the ability to work offline — even on an airplane. The project has exploded in popularity. Goose now boasts more than 26,100 stars on GitHub, the code-sharing platform, with 362 contributors and 102 releases since its launch. The latest version, 1.20.1, shipped on January 19, 2026, reflecting a development pace that rivals commercial products. For developers frustrated by Claude Code's pricing structure and usage caps, Goose represents something increasingly rare in the AI industry: a genuinely free, no-strings-attached option for serious work. Anthropic's new rate limits spark a developer revolt To understand why Goose matters, you need to understand the Claude Code pricing controversy. Anthropic, the San Francisco artificial intelligence company founded by former OpenAI executives, offers Claude Code as part of its subscription tiers. The free plan provides no access whatsoever. The Pro plan, at $17 per month with annual billing (or $20 monthly), limits users to just 10 to 40 prompts every five hours — a constraint that serious developers exhaust within minutes of intensive work. The Max plans, at $100 and $200 per month, offer more headroom: 50 to 200 prompts and 200 to 800 prompts respectively, plus access to Anthropic's most powerful model, Claude 4.5 Opus. But even these premium tiers come with restrictions that have inflamed the developer community. In late July, Anthropic announced new weekly rate limits. Under the system, Pro users receive 40 to 80 hours of Sonnet 4 usage per week. Max users at the $200 tier get 240 to 480 hours of Sonnet 4, plus 24 to 40 hours of Opus 4. Nearly five months later, the frustration has not subsided. The problem? Those "hours" are not actual hours. They represent token-based limits that vary wildly depending on codebase size, conversation length, and the complexity of the code being processed. Independent analysis suggests the actual per-session limits translate to roughly 44,000 tokens for Pro users and 220,000 tokens for the $200 Max plan. "It's confusing and vague," one developer wrote in a widely shared analysis. "When they say '24-40 hours of Opus 4,' that doesn't really tell you anything useful about what you're actually getting." The backlash on Reddit and developer forums has been fierce. Some users report hitting their daily limits within 30 minutes of intensive coding. Others have canceled their subscriptions entirely, calling the new restrictions "a joke" and "unusable for real work." Anthropic has defended the changes, stating that the limits affect fewer than five percent of users and target people running Claude Code "continuously in the background, 24/7." But the company has not clarified whether that figure refers to five percent of Max subscribers or five percent of all users — a distinction that matters enormously. How Block built a free AI coding agent that works offline Goose takes a radically different approach to the same problem. Built by Block, the payments company led by Jack Dorsey, Goose is what engineers call an "on-machine AI agent." Unlike Claude Code, which sends your queries to Anthropic's servers for processing, Goose can run entirely on your local computer using open-source language models that you download and control yourself. The project's documentation describes it as going "beyond code suggestions" to "install, execute, edit, and test with any LLM." That last phrase — "any LLM" — is the key differentiator. Goose is model-agnostic by design. You can connect Goose to Anthropic's Claude models if you have API access. You can use OpenAI's GPT-5 or Google's Gemini. You can route it through services like Groq or OpenRouter. Or — and this is where things get interesting — you can run it entirely locally using tools like Ollama, which let you download and execute open-source models on your own hardware. The practical implications are significant. With a local setup, there are no subscription fees, no usage caps, no rate limits, and no concerns about your code being sent to external servers. Your conversations with the AI never leave your machine. "I use Ollama all the time on planes — it's a lot of fun!" Sareen noted during a demonstration, highlighting how local models free developers from the constraints of internet connectivity. What Goose can do that traditional code assistants can't Goose operates as a command-line tool or desktop application that can autonomously perform complex development tasks. It can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows across multiple files, and interact with external APIs — all without constant human oversight. The architecture relies on what the AI industry calls "tool calling" or "function calling" — the ability for a language model to request specific actions from external systems. When you ask Goose to create a new file, run a test suite, or check the status of a GitHub pull request, it doesn't just generate text describing what should happen. It actually executes those operations. This capability depends heavily on the underlying language model. Claude 4 models from Anthropic currently perform best at tool calling, according to the Berkeley Function-Calling Leaderboard, which ranks models on their ability to translate natural language requests into executable code and system commands. But newer open-source models are catching up quickly. Goose's documentation highlights several options with strong tool-calling support: Meta's Llama series, Alibaba's Qwen models, Google's Gemma variants, and DeepSeek's reasoning-focused architectures. The tool also integrates with the Model Context Protocol, or MCP, an emerging standard for connecting AI agents to external services. Through MCP, Goose can access databases, search engines, file systems, and third-party APIs — extending its capabilities far beyond what the base language model provides. Setting Up Goose with a Local Model For developers interested in a completely free, privacy-preserving setup, the process involves three main components: Goose itself, Ollama (a tool for running open-source models locally), and a compatible language model. Step 1: Install Ollama Ollama is an open-source project that dramatically simplifies the process of running large language models on personal hardware. It handles the complex work of downloading, optimizing, and serving models through a simple interface. Download and install Ollama from ollama.com. Once installed, you can pull models with a single command. For coding tasks, Qwen 2.5 offers strong tool-calling support: ollama run qwen2.5 The model downloads automatically and begins running on your machine. Step 2: Install Goose Goose is available as both a desktop application and a command-line interface. The desktop version provides a more visual experience, while the CLI appeals to developers who prefer working entirely in the terminal. Installation instructions vary by operating system but generally involve downloading from Goose's GitHub releases page or using a package manager. Block provides pre-built binaries for macOS (both Intel and Apple Silicon), Windows, and Linux. Step 3: Configure the Connection In Goose Desktop, navigate to Settings, then Configure Provider, and select Ollama. Confirm that the API Host is set to http://localhost:11434 (Ollama's default port) and click Submit. For the command-line version, run goose configure, select "Configure Providers," choose Ollama, and enter the model name when prompted. That's it. Goose is now connected to a language model running entirely on your hardware, ready to execute complex coding tasks without any subscription fees or external dependencies. The RAM, processing power, and trade-offs you should know about The obvious question: what kind of computer do you need? Running large language models locally requires substantially more computational resources than typical software. The key constraint is memory — specifically, RAM on most systems, or VRAM if using a dedicated graphics card for acceleration. Block's documentation suggests that 32 gigabytes of RAM provides "a solid baseline for larger models and outputs." For Mac users, this means the computer's unified memory is the primary bottleneck. For Windows and Linux users with discrete NVIDIA graphics cards, GPU memory (VRAM) matters more for acceleration. But you don't necessarily need expensive hardware to get started. Smaller models with fewer parameters run on much more modest systems. Qwen 2.5, for instance, comes in multiple sizes, and the smaller variants can operate effectively on machines with 16 gigabytes of RAM. "You don't need to run the largest models to get excellent results," Sareen emphasized. The practical recommendation: start with a smaller model to test your workflow, then scale up as needed. For context, Apple's entry-level MacBook Air with 8 gigabytes of RAM would struggle with most capable coding models. But a MacBook Pro with 32 gigabytes — increasingly common among professional developers — handles them comfortably. Why keeping your code off the cloud matters more than ever Goose with a local LLM is not a perfect substitute for Claude Code. The comparison involves real trade-offs that developers should understand. Model Quality: Claude 4.5 Opus, Anthropic's flagship model, remains arguably the most capable AI for software engineering tasks. It excels at understanding complex codebases, following nuanced instructions, and producing high-quality code on the first attempt. Open-source models have improved dramatically, but a gap persists — particularly for the most challenging tasks. One developer who switched to the $200 Claude Code plan described the difference bluntly: "When I say 'make this look modern,' Opus knows what I mean. Other models give me Bootstrap circa 2015." Context Window: Claude Sonnet 4.5, accessible through the API, offers a massive one-million-token context window — enough to load entire large codebases without chunking or context management issues. Most local models are limited to 4,096 or 8,192 tokens by default, though many can be configured for longer contexts at the cost of increased memory usage and slower processing. Speed: Cloud-based services like Claude Code run on dedicated server hardware optimized for AI inference. Local models, running on consumer laptops, typically process requests more slowly. The difference matters for iterative workflows where you're making rapid changes and waiting for AI feedback. Tooling Maturity: Claude Code benefits from Anthropic's dedicated engineering resources. Features like prompt caching (which can reduce costs by up to 90 percent for repeated contexts) and structured outputs are polished and well-documented. Goose, while actively developed with 102 releases to date, relies on community contributions and may lack equivalent refinement in specific areas. How Goose stacks up against Cursor, GitHub Copilot, and the paid AI coding market Goose enters a crowded market of AI coding tools, but occupies a distinctive position. Cursor, a popular AI-enhanced code editor, charges $20 per month for its Pro tier and $200 for Ultra—pricing that mirrors Claude Code's Max plans. Cursor provides approximately 4,500 Sonnet 4 requests per month at the Ultra level, a substantially different allocation model than Claude Code's hourly resets. Cline, Roo Code, and similar open-source projects offer AI coding assistance but with varying levels of autonomy and tool integration. Many focus on code completion rather than the agentic task execution that defines Goose and Claude Code. Amazon's CodeWhisperer, GitHub Copilot, and enterprise offerings from major cloud providers target large organizations with complex procurement processes and dedicated budgets. They are less relevant to individual developers and small teams seeking lightweight, flexible tools. Goose's combination of genuine autonomy, model agnosticism, local operation, and zero cost creates a unique value proposition. The tool is not trying to compete with commercial offerings on polish or model quality. It's competing on freedom — both financial and architectural. The $200-a-month era for AI coding tools may be ending The AI coding tools market is evolving quickly. Open-source models are improving at a pace that continually narrows the gap with proprietary alternatives. Moonshot AI's Kimi K2 and z.ai's GLM 4.5 now benchmark near Claude Sonnet 4 levels — and they're freely available. If this trajectory continues, the quality advantage that justifies Claude Code's premium pricing may erode. Anthropic would then face pressure to compete on features, user experience, and integration rather than raw model capability. For now, developers face a clear choice. Those who need the absolute best model quality, who can afford premium pricing, and who accept usage restrictions may prefer Claude Code. Those who prioritize cost, privacy, offline access, and flexibility have a genuine alternative in Goose. The fact that a $200-per-month commercial product has a zero-dollar open-source competitor with comparable core functionality is itself remarkable. It reflects both the maturation of open-source AI infrastructure and the appetite among developers for tools that respect their autonomy. Goose is not perfect. It requires more technical setup than commercial alternatives. It depends on hardware resources that not every developer possesses. Its model options, while improving rapidly, still trail the best proprietary offerings on complex tasks. But for a growing community of developers, those limitations are acceptable trade-offs for something increasingly rare in the AI landscape: a tool that truly belongs to them. Goose is available for download at github.com/block/goose. Ollama is available at ollama.com. Both projects are free and open source.

Context intelligence for your data and AI agents at scale - Amazon Web Services (AWS)
"artificial intelligence" - Google News

Context intelligence for your data and AI agents at scale - Amazon Web Services (AWS)

Context intelligence for your data and AI agents at scale  Amazon Web Services (AWS)

Meet the first 2026 Zappy Award monthly winners: May 2026
The Zapier Blog

Meet the first 2026 Zappy Award monthly winners: May 2026

We launched the Zappy Awards in May to find the builders quietly redesigning how work gets done at their companies. We're on the hunt for the people who see a problem, pick up Zapier, and do something about it. We've hit 50 submissions. We weren't expecting the bar to be this high this fast. So we've decided to move up our first monthly wins to start right now! These are the first two monthly winners. Rachael Silvano, Community Strategy Lead at Articulate Rachael manages E-Learning Heroes, a co

Operational Autonomy: How Artificial Intelligence is Quietly Rebuilding the Modern Airport - Metropolitan Airport News
"artificial intelligence" - Google News

Operational Autonomy: How Artificial Intelligence is Quietly Rebuilding the Modern Airport - Metropolitan Airport News

Operational Autonomy: How Artificial Intelligence is Quietly Rebuilding the Modern Airport  Metropolitan Airport News

Connect BrightHire to the rest of your hiring workflow
The Zapier Blog

Connect BrightHire to the rest of your hiring workflow

An interview isn't one task. Now that BrightHire connects with Zapier, teams can automate more of the work around it. Before an interview starts, the team needs the right candidate, position, and schedule records in place. After it ends, the team needs the notes, transcript, summary, tasks, and updates to reach the tools where decisions happen. BrightHire captures the interview intelligence: recordings, transcripts, notes, questions, and conversation analytics. With the new BrightHire integratio

Using AI to help physicians diagnose rare genetic diseases affecting children
OpenAI News

Using AI to help physicians diagnose rare genetic diseases affecting children

Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.

Powering the world’s first AI arts museum
Gemini

Powering the world’s first AI arts museum

Refik Anadol Studio opens Dataland, the first museum of AI arts, powered by Google Cloud and supported by Google Arts & Culture.

OpenAI, Anthropic artificial intelligence IPO boom set to transform San Francisco, starting with soaring real estate prices - ABC7 Bay Area
"artificial intelligence" - Google News

OpenAI, Anthropic artificial intelligence IPO boom set to transform San Francisco, starting with soaring real estate prices - ABC7 Bay Area

OpenAI, Anthropic artificial intelligence IPO boom set to transform San Francisco, starting with soaring real estate prices  ABC7 Bay Area

I/O 2026
Gemini

I/O 2026

At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.

This Artificial Intelligence (AI) Stock Is Up 4,800% in the Past Year. Wall Street Says This Will Happen Next. - Yahoo Finance
"artificial intelligence" - Google News

This Artificial Intelligence (AI) Stock Is Up 4,800% in the Past Year. Wall Street Says This Will Happen Next. - Yahoo Finance

This Artificial Intelligence (AI) Stock Is Up 4,800% in the Past Year. Wall Street Says This Will Happen Next.  Yahoo Finance

Catch up on 12 major I/O 2026 moments
AI

Catch up on 12 major I/O 2026 moments

Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.

AI cheating crisis may be a gift, education experts say - Times Union
"artificial intelligence" - Google News

AI cheating crisis may be a gift, education experts say - Times Union

AI cheating crisis may be a gift, education experts say  Times Union

How an astrophysicist uses Codex to help simulate black holes
OpenAI News

How an astrophysicist uses Codex to help simulate black holes

Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.