How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product
Drawing on more than a decade spent helping build some of the world's most influential AI systems, including research that later informed the development of ChatGPT, Andrew Dai explains why he believes visual AI is one of the next major frontiers in artificial intelligence.
GPT-5.6: Frontier intelligence that scales with your ambition
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
Gemini can now take notes in Google Meet for Google AI Pro and Ultra subscribers.
Google Meet's "Take notes for me" feature is available to Google AI Pro and Ultra subscribers in select languages.
5 ways Google Search can level up your thrift and vintage shopping
Uncover second-hand scores with AI tools in Google Search and Shopping.
Meet the June 2026 Zappy Award monthly winners
This month's three Zappy Award winners are turning scattered company knowledge into shared context that AI and humans can actually use. The strongest June Zappy Award submissions had the same shape: shared context. AI can only help with work it can see. When customer history lives in someone's head, when policy hides in a stale doc, when product knowledge is scattered across videos, help articles, and slide decks, AI has to guess, and a guessing AI is an unreliable one. Eric McNulty at Mercari,
How we used Gemini to build Google I/O 2026
Learn how Googlers used AI to produce Google I/O 2026.
Applied Computing wants to give oil and gas operators an AI model for the entire plant
Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.
How Cars24 scales conversations and builds faster with OpenAI
Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.
Create, edit and star in videos with two Google Vids updates
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Pipedream vs. Zapier: Which is best? [2026]
"Developer-friendly" sounds like a good thing, and for the most part it is. But there's also an unspoken subtext: "business-team-unfriendly." Automation tools that put developers first can offer greater flexibility and customization, but it often comes at the expense of usability for nontechnical users. If you're trying to scale AI and automation quickly across your organization, there's a real opportunity cost at play when only developers can build workflows and agents. Pipedream—which was acqu
Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.8
The FT reports Kimi K3 will be the largest open AI model from China, with a parameter count between 2 trillion and 3 trillion.
Hack suggests AI music generator Suno scraped YouTube for training data
The hacker used an employee's credentials to access source code, which revealed how Suno scraped decades of audio.
The latest AI news we announced in May 2026
Here are Google’s latest AI updates from May 2026
The 8 best data integration tools in 2026
If you've ever had to hunt down an important email across one of your seven inboxes, you know the struggle of having information spread out between a bunch of unconnected systems. Ctrl+F can't save you when you aren't even sure where to start looking. Multiply that by hundreds of employees and dozens of systems, and things get real messy. Data integration tools take siloed data and un-silo it, uniting various data sources into a single master view. This means no more swapping between application
Exclusive | The AI Backlash Has Tech Executives Fearing for Their Lives - WSJ
Exclusive | The AI Backlash Has Tech Executives Fearing for Their Lives WSJ
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.
How to automate ChatGPT (GPT-5.6 Sol, GPT-5.6 Terra, and more)
In a livestream on July 9, OpenAI rolled out the red carpet for not one but three new models: Sol, Terra, and Luna. These celestial models mark three tiers within the GPT-5.6 generation, each built to cut down on how often you have to re-explain your context in ChatGPT. All three are available on Zapier, so you can connect them securely to the other apps you already use in Zap workflows (what we call automations). Below, I'll share some of the most popular ChatGPT automations, plus templates you
Roblox launches an AI-powered game-creation feature in its mobile app
Roblox's new "Build" feature lets users generate basic games using a single text prompt.
Why teens deserve access to safe AI
Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.
How data science teams use ChatGPT Work
See how data science teams can use ChatGPT Work to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs.
National AI Appreciation Day: Advocate urges workers to embrace artificial intelligence - WBNG
National AI Appreciation Day: Advocate urges workers to embrace artificial intelligence WBNG
Introducing computer use in Gemini 3.5 Flash
A look at the built-in computer use tool in Gemini 3.5 Flash.
Netflix Adds ChatGPT-Powered AI to Stop You From Scrolling Forever
In a bold move to tackle one of streaming’s biggest frustrations, endless scrolling, Netflix just unveiled a major redesign of its TV and mobile apps featuring a ChatGPT-powered AI chatbot and TikTok-style video reels. You’ll soon be able to ask Netflix in plain language what you’re in the mood for “funny and fast-paced” or “dark thrillers with strong female leads” and get instant, tailored recommendations. Netflix is partnering with OpenAI to power this feature, part of a broader overhaul aimed at making content discovery faster, more intuitive, and (finally) less painful. What’s changing Conversational AI Search: Powered by OpenAI, this The post Netflix Adds ChatGPT-Powered AI to Stop You From Scrolling Forever appeared first on DailyAI.
Katy Perry Didn’t Attend the Met Gala, But AI Made Her the Star of the Night
Another year, another viral deepfake of Katy Perry at the Met Gala and once again, she wasn’t even there. Photos showing the pop star in a sleek black designer gown circulated widely on social media during Monday night’s event, matching the “Superfine: Tailoring Black Style” theme. But the images were AI-generated. Perry quickly clarified she was not at the Met; she was on tour. Perry’s reaction “Couldn’t make it to the MET, I’m on The Lifetimes Tour (see you in Houston tomorrow IRL),” she posted to Instagram alongside the fake images. She added a jab at AI confusion: “P.s. this The post Katy Perry Didn’t Attend the Met Gala, But AI Made Her the Star of the Night appeared first on DailyAI.
How to manage AI investments in the agentic era
Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.
Start building with Nano Banana 2 Lite and Gemini Omni Flash
Scale your ideas with Nano Banana 2 Lite, our fastest, most cost-efficient Gemini Image model, and Gemini Omni Flash for high-quality video and conversational editing.
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.
Celebrating 25 years of visual search innovation
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Microsoft is reportedly training salespeople to talk down OpenAI and Anthropic
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Connect more of your apps to Search
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The best Salesforce automation tools in 2026
My early days with Salesforce were a classic love-hate experience: loved its power, but resented the hours I lost to manual CSV juggling and frantic VLOOKUPs, always fearing a critical lead was gathering dust in some forgotten queue. Things really clicked when I stopped just using Salesforce and focused on making it work for me. It wasn't about some mythical magic button—those rarely exist in enterprise software. My goal was to pinpoint the real time sinks and systematically apply automation.
Yes, you can now order DoorDash from the command line
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The best predictive analytics software in 2026
You could argue that pretty much all analytics are meant to be predictive. Isn't the point of analyzing past performance, on some level, to project future performance? (I guess you could just be nostalgic for the metrics underlying your favorite past fiscal quarter.) As a dedicated tool class, however, predictive analytics software helps analysts of all kinds see what past data says about the future. While tools like these can't tell you what will happen, they can tell you what massive amounts o
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Try these 3 Google AI tools to help find your next job.
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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.
How sales teams use ChatGPT Work
See how sales teams can use ChatGPT Work to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.
Google Vids now lets you star in your own AI videos
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Bank of America CEO Brian Moynihan Joins Wall Street Leaders in Warning of Mythos AI Risks - PYMNTS.com
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The latest AI news we announced in June 2026
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Our new community investments in Virginia support local jobs and expand energy affordability.
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FSU chemistry professor develops artificial intelligence songs to help students learn complex concepts - Florida State University News
FSU chemistry professor develops artificial intelligence songs to help students learn complex concepts Florida State University News
Artificial intelligence and the future of African mining - Atlantic Council
Artificial intelligence and the future of African mining Atlantic Council
GPT-5.6 is now the preferred model in Microsoft 365 Copilot
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Zapier vs. Gumloop: Which is best? [2026]
AI agents are everywhere right now, and platforms like Gumloop are betting that enterprises want tools built specifically to design, launch, and manage agents. But here's the question: do you need a specialized app for agentic workflows, or a platform that integrates agents more broadly into your existing business processes? Most enterprises already use dozens of tools across departments, including CRMs, project management software, HR platforms, and communication apps. The real challenge isn't
Nobel Laureates sign Rome Declaration on Nuclear Weapons and AI - Vatican News
Nobel Laureates sign Rome Declaration on Nuclear Weapons and AI Vatican News
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Zapier vs. Power Automate: Which is best? [2026]
If your business uses Microsoft 365, you already have access to Power Automate. It's a capable automation platform that integrates deeply with Teams, SharePoint, Dynamics, and the rest of Microsoft's ecosystem. For Microsoft-to-Microsoft workflows, it's a smart place to start. But most enterprises have a substantial portion of their tech stack spread across multiple vendors. While Power Automate offers modest support for outside apps, Zapier works natively across whatever combination of apps you