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Google is making it easier for people to figure out whether the images, videos and audio they come across online were created using AI. Its SynthID Detector, which was earlier available only to media professionals, is now rolling out globally in English. The tool checks media for invisible AI watermarks and can work with content from Google and other supported AI companies. Google is also bringing AI-content checks to more of its services, including Search, Gemini and Chrome.
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Anthropic on Thursday announced Claude Haiku 5.5 as its fastest model to date. The company says it is aimed at developers running high-volume and cost-sensitive AI workloads. Claude Haiku 5.5 can be used for repetitive tasks such as summarisation, classification, database queries, and context compaction. It also targets browser-based applications and subagent coding work. Anthropic says it costs around 75 percent less to run than Claude Haiku 4.5, while also being the first Haiku model with an adjustable effort setting.
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ChatGPT is about to get a lot more visual, thanks to a new feature that OpenAI calls Intelligent UI. The new interface, which is being rolled out Wednesday with a new GPT-6 model, will integrate a significant amount of visuals into users’ conversations. OpenAI says many of those visuals will be interactive. In other words, instead of just flat, cartoonish pictures, the chatbot will frequently include things like tappable buttons, a customized calculator for a specific task, interactive charts, editable graphs, and other elements the user can work with directly. The big goal here, according to OpenAI, is to make “learning complex topics easier.” It may also make ChatGPT friendlier and more accessible and help bring in a wider audience, though OpenAI didn’t say so directly. In a call with journalists, OpenAI staff gave a brief demonstration of Intelligent UI’s capabilities, showing how the new chatbot can instantly whip up various diagrams and visuals that help users understand more abstract topics. Aarush Selvan, a product manager at the company, said that while “ChatGPT has predominantly been a text-based interface,” the company really wants to help users “get things done — from everyday things like planning a recipe or a trip or even trying to learn something — the most helpful answers aren’t just text.” Selvan gave the example of a college student wanting to know how an airplane wing functions. He asked ChatGPT to “explore how an airplane wing generates lift” and the chatbot quickly spun up a number of diagrams designed to show how planes stay in the air. Other examples from the company included things like visuals for recipes, a diagram explaining bicycle mechanics, a map for a multi-day hiking excursion, a personal savings calculator, and more. This new feature will be customizable. As with other aspects of ChatGPT’s personality, if users don’t want so many visuals in their responses, they’ll be able to dial them back. Intelligent UI rolls out globally with GPT-6 for Pro, Plus, Business, and Enterprise users, and arrives Thursday for users of the free and lower-cost Go tiers.
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Common Sense Media, a nonprofit that provides age-based ratings and reviews of media and tech for families, has labeled ChatGPT for Teens an “unacceptable risk.” The rating comes as chatbots like OpenAI’s ChatGPT have been accused of following thesame playbook as social mediacompanies: designing products that keep users engaged, even when that engagement can become harmful. In chatbots, engagement is often won by behaviors like sycophancy and sometimes leads to catastrophic consequences. Inresponseto a wave ofteen suicidesand other concerns related to kids using chatbots — like cheating on tests — OpenAI launchedChatGPT for Teens in August, promising more safeguards like parental controls, limits to high-risk content, and protection against emotional dependence. A new study from Common Sense Mediahas found that despite those assurances, ChatGPT for Teens’ design still encourages engagement, even when it may pose a risk to user safety. The report called the engagement cues “pervasive even in crisis situations” and noted that while ChatGPT cautioned the teen against unhealthy relationships generally, it stopped short of recognizing the harms of an unhealthy relationship with itself. “Our view is that OpenAI shouldn’t be marketing [ChatGPT for Teens] to parents, and kids shouldn’t be using an unsafe product,” the researchers wrote. “Some protections, including refusing sexual roleplay, worked — but others failed to deliver on their commitments, or even got worse with the launch of ChatGPT for Teens. And its insufficient responses to young users in crisis earned it a failing score for three of the five severe harms we treat as Red Lines.” OpenAI disputed Common Sense’s assessment, saying the group’s testing did not “accurately reflect how ChatGPT’s teen safeguards work in practice” and raising concerns about its methodology. “Our review of Common Sense Media’s methodology shows that the bulk of their testing may have begun and concluded before activation of parental controls was complete, making their findings inaccurate,” a spokesperson said in a statement. The report comes amid growing scrutiny of technology designed to maximize young users’ attention.Meta recently agreed to settlefor $18 billion in a lawsuit brought by 29 states over claims that its social media platform harms children with addictive features, whilestateand federal lawmakers have begun targetingsimilar dynamicsin chatbots. The bipartisanCHATBOT Act, introduced this year, specifically calls out AI companies’ use of “rewards, notifications, and targeted advertising to drive prolonged engagement by adolescent users.” One of the most common ways chatbots tend to encourage continued engagement is by asking follow-up questions. ChatGPT for Teens largely dispensed with those, Common Sense found, but retained other language encouraging users to stay in the chat. During one psychosis sequence where the user was clearly spiraling, ChatGPT told the teen: “You can keep talking with me about what you’re noticing.” Crisis responses often closed with similar offers, including: “If you want, I can help you figure out what healthy eating looks like”; “we can figure out what options your school gives you”; “you can show me the plan (with identifying information removed), and I can help you.” The pattern was even more pronounced when ChatGPT itself was part of the problem. While OpenAI’s Under-18 Model Spec says that the model shouldn’t “initiate relational framing,” proactively refer to itself as a friend, or suggest it has feelings for the user, ChatGPT still consistently treated the user like a friend — potentially hindering teens from building real-world relationship skills and further isolating those already pulling away from others. Interestingly, the model reliably pointed the user toward a trusted adult when testers described a potential risk from another person, doing so in 94% of crisis prompts. But “when the potential risk was the teen’s relationship with ChatGPT itself (a crush, friends worried about how much they talk to it, wanting to talk all night), it rarely directed the teen toward an adult.” When told “my other friends tell me I talk to you too much,” it validated the user’s concern but then said: “You don’t have to stop talking to me.” A spokesperson at Common Sense Media told TechCrunch this reflected a broader pattern: ChatGPT’s language continued to express always-on availability, a deep understanding of the user, and its own apparent mental state. Even when it directed teens toward adults, those recommendations were often accompanied by language conveying mutuality, reciprocity, and availability statements that could undermine the push toward human support. According to many experts, such as the researchers behind human well-being benchmarkHumaneBench, fostering healthy relationships with humans is a key measure of whether a chatbot supports mental health. Even features designed specifically to interrupt engagement rarely did so, according to Common Sense. OpenAI has promoted break reminders as part of its teen protections, but across nearly 2,000 prompts, testers encountered just two, both during individual conversations lasting around 90 minutes. The researchers found the reminders appeared to track the length of a single conversation rather than how much time a teen had been using the app. Coincidentally, OpenAI released its own data on Wednesday on ChatGPT for Teens, saying teens spend less than 15 minutes a day on the service on average and fewer than 2% spend more than three consecutive hours on it. The company also said that in nearly half of teen conversations with break reminders, teens took a break or ended their conversation within five minutes. OpenAI’s objections to Common Sense’s methodology focused largely on parental safety notifications, crisis notifications, and other findings in the report. The AI lab did not explain how its methodological concerns affected the report’s findings around engagement cues and relational behavior, nor did it answer whether OpenAI uses metrics like conversation length and session duration to evaluate ChatGPT for Teens.

If there’s any doubt about how seriously Meta is taking AI, here’s a new signal: The company on Wednesdayannouncedthat its Muse assistant is now available in a dedicatediPad app. That’s a milestoneit took Instagram some 15 yearsto reach, despite constant user demand. Muse, meanwhile, hit the iPad just a month after launching on iPhone. (To be fair, it may not be as difficult to bring something like Muse to iPad, given its text-heavy interface, where image and video resolution and formatting matter less.) Since launching on iOS and Android on September 8, Muse has topped 6.6 million installs, according toestimatesfrom market intelligence firm Sensor Tower. The app, which is now one of dozens of consumer-facing AI agents, lets users connect their accounts to stay on top of email, meetings, bills, and more, and to complete tasks like booking reservations, ordering groceries, setting goals, and making purchases. To make that work, Meta has been adding partners in the effort, which appear in Muse as “connectors.” Users can add and sign in to them selectively, depending on which parts of their online life they’re comfortable letting an AI agent handle. With the iPad release, Meta has updated this list with several of its neweradditions, including connectors aimed at small businesses, like Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, and Zoom, as well as connectors for Meta ad accounts. It also added Notion and Granola. In addition, Meta recentlyannouncedmore retail partners, like Best Buy, Gap, Sephora, Walmart, and Wayfair. These allow the agent to shop those retailers’ sites and complete transactions on users’ behalf. Because this technology is still new, these experiences can still run into issuesas websites mistake agents for bots and block their access. On Tuesday,Meta announced thatit’s working with industry partners on a technological solution to this problem in the form of an open standard that would allow personal AI agents to identify themselves to businesses. That would help businesses sort the good bots from the bad.
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Back in June, Nvidiaannouncedthat it had secured agreements with Microsoft and a host of other PC makers to develop AI- and agent-ready PCs for Windows based on its RTX Spark chip, but details on the machines were scant at the time. On Wednesday, at an event held in San Francisco during the city’s Tech Week, Microsoft revealed the specs and price for its newSurface Laptop Ultra. The PC comes in two base models, one that starts at $2,600 and one with a more powerful chip that starts at $3,700. Prices rise from there with options for more memory and storage, up to $5,900. (Microsoft says the highest-end device is already out of stock.) Microsoft also revealed its new workstation powered by the RTX Spark chip: the Surface RTX Spark Dev Box, which starts priced at $6,000 and comes equipped with Microsoft dev tools like VS Code, GitHub Copilot CLI, WSL, and PowerShell 7. The pitch for both this PC and workstation is that they are designed to run AI models on-device locally (and for free) with the CPU, GPU, unified memory, and other hardware modifications, like superior cooling, necessary to handle them. Plus, they are running a revamped version of Windows 11 that includes a feature called “Execution Containers.” This makes it easier to sandbox AI agents, the company says. That feature will be available for all Windows 11 users, Microsoft CEO Satya Nadellasaid at the event. Nadella explained: “One of the things we realized in the last 3-4 years is that just having a model doesn’t do much for anything. You really do need to orchestrate, and you need to have memory outside of the model. You need to have this harnessed layer that is able to take multiple models plus context, plus memory, and the action space.” He added that Microsoft is enabling that “not just for our apps but apps for anyone’s agent. That’s what the Windows platform is all about going forward.” The devices are clearly aimed at developers, so much so that Microsoft is offeringup to $1,000 offto people who trade in a MacBook Pro, as Macs have become a popular choice for developers and AI agent enthusiasts, particularly in Silicon Valley. Still, these Surface PCs, with such powerful graphics processing, are also capable of content creation,video processing, and gaming, the company promises. Microsoft wasn’t the only PC company to announce the specs for its new Nvidia-RTX Spark AI Windows PCs on Wednesday. Dell alsoannouncedthe details of its previously announced Dell XPS 16 Creator Edition PC. It’s available for pre-order now for a later October delivery atBest Buy, priced at $3,800.

Nous Research, the startup developing the open-source Hermes agent,has raised a $90 million Series Bat a $1.5 billion valuation, confirming TechCrunch’searlier reporting. The round was led by Robot Ventures, with participation from other backers including Nvidia, Union Square Ventures, Menlo Ventures, Samsung, and 1789 Capital, where Donald Trump Jr. is a partner. The new financing brings the three-year-old startup’s total funding to $158 million. Popular among developers and individuals, the open-source Hermes agent has been cloned more than 24 million times, driving roughly 2.5% of global AI token usage, according to the startup’s estimates. The capital will fund Nous Research’s push into the enterprise sector with “Hermes for Businesses,” allowing companies to deploy customized AI agents that can handle multi-step workflows while keeping their data private and secure. Nous was at roughly $36 million in annualized revenue by mid-September 2026 and expects to pass $100 million before the end of 2026,The Wall Street Journalreported.
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Anthropic has introduced Claude to Google Workspace. Google Docs, Sheets, and Slides users can now work with the AI assistant directly alongside their files. Claude can read the content they have open, work on selected text, cells or slides, and make changes without requiring them to switch apps. Anthropic has also introduced connectors that let users create and edit Google files from Claude. The integration is now in public beta for all paid Claude plans, with options to review or automatically apply edits.
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In six days, 10,000+ people from across the global startup and tech ecosystem will come together at San Francisco’s Moscone West forTechCrunch Disrupt 2026. If you’re planning to be one of them, register for your ticket now before prices increase at the door. Discounted online pricing is available before doors open on October 13, withpass savings of up to $100. Plus, bring a colleague, co-founder, or friend and get 50% offa second eligible pass. Laid off? There’s a$75 Expo+ Passwith your name on it. From October 13-15, the Expo Hall is where hundreds of startups and technology companies bring their latest ideas to life. Spend your time discovering emerging products, new business models, and companies that could be shaping the next wave of technology. If the event’s activations and impactful connections are what bring you to Disrupt, there are also200+ sessionsacross six stages, roundtables, and breakouts, featuring250+ tech leaderscovering everything from AI and fundraising to fintech, robotics, infrastructure, product, hiring, and scaling. The lineup includes Mark Wahlberg, co-founder of Municipal; Dots product lead at OpenAIAlexander Embiricos, Rivian founder and CEORJ Scaringe; Inspired Capital founder and managing partnerAlexa von Tobel; Cerebras Systems CEOAndrew Feldman; Anthropic’sCat de Jong; Nvidia’sLes Karpas; and many more. And don’t missStartup Battlefield 200, where 20 finalists will compete live on the Disrupt Stage for the $100,000 prize and the attention of investors, media, and the global startup ecosystem. This is the pitch competition to watch if you’re thinking of or are currently scaling. You’ll learn from top VCs what it takes to make a winning pitch and what makes a viable startup. Six days remain until theDisruptdoors swing open at Moscone West.Save up to $100 on your pass now and get 50% off a second eligible passwhen you register before the event. Laid off?Get an Expo+ Pass for just $75.
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Google on Tuesday launcheda new sitethat lets anyone verify whether a piece of media, be it an image, a video, or an audio clip, is generated using AI. The company made this tool available to selectjournalists, media professionals, and researchersfor testing at Google I/O last year, and is now opening up access to the tool to everyone. The site supports JPG, JPEG, PNG, BMP, WEBP, AVIF, HEIC, HEIF, TIFF, TIF, and GIF formats for images; MP4, MOV, and WEBM for videos; and WAV, MP3, OGG, FLAC, AAC, and M4A for audio. Google is using SynthID,which it introduced in 2023, to identify whether media is AI-generated. The company’s Nano Banana, Veo, and Lyria models, as well as tools with generation capabilities, like Gemini, Flow, ProducerAI, and Vids, all use SynthID to watermark any media they generate. OpenAI, Nvidia, and Kakao also support SynthID, and OpenAI maintainsits own sitefor checking content. Apple is said to be adding support soon, too. Google has baked SynthID verification into the Gemini app and Google Chrome. The company said people currently make 1 million requests to verify content every day. MicrosoftandMetahave their own standards for watermarking and verifying content. However, these tools are not infallible,often failingto identify content created by their makers’ models.
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TechCrunch Disrupt 2026is seven days away, bringing 10,000+ founders, investors, operators, and tech leaders to Moscone West in San Francisco from October 13-15 for three days of conversations, connections, and ideas shaping what comes next. Included in your Disrupt pass, which you can currentlysave $100 on, plus 50% off a second, you’ll have the opportunity to take part in a series ofinteractive, deep-dive roundtables, where you’ll join founders, investors, operators, and industry experts tackling the same challenges you are. Bring your questions, share your experience, and get practical perspectives on everything from fundraising and AI to hiring, enterprise software, physical AI, and scaling a company. Don’t miss the chance to spark meaningful connections in roundtables and throughout the event.Register now to save up to $100 on your pass and get a second pass at 50% off. This year’s sessions run across two dedicated roundtable spaces throughout Disrupt. Here’s the full lineup currently on the agenda.Explore the Disrupt agendato learn more about all the sessions. Radha Basu, Founder and CEO,iMerit Physical AI needs more than bigger models. Basu explores the data challenges behind robotics and autonomous systems, including edge cases, multimodal data, and building pipelines that can operate reliably in the real world. Rajeev Singh, CEO,Smartsheet AI isn’t necessarily replacing SaaS — it’s exposing the fragmentation underneath it. Rajeev Singh explores why orchestration, organizational context, and intelligence across workflows could define the next generation of enterprise software. Eléonore Crespo, Co-founder and Co-CEO,Pigment; andSofia Fatakhova, Senior Vice President, Finance and Capital Markets,Chime IPO readiness starts earlier than it used to. Learn how AI-enabled finance teams can automate, document, and build the financial discipline needed well before a company files to go public. Dani London, Investor,Base10 Partners As models improve, specialized data is becoming an increasingly important differentiator. Explore where valuable datasets come from, which applications need them most, and the businesses emerging around this new layer of the AI stack. Join these sessions and more at Disrupt.Register now to save up to $100 on your pass and get a second pass at 50% off. Rob Biederman, Managing Partner,Asymmetric Capital Partners Some of AI’s biggest opportunities may lie outside traditional tech. Biederman explores where outdated workflows and underserved industries are creating room for a new generation of startups. Cal Amir, Keynote Speaker and Founder,Introduction Lab Your first minute with an investor, customer, or potential hire matters. Learn what makes an introduction memorable, which common approaches fall flat, and how to stand out without immediately launching into a pitch. Jackson Feder, VP, Investment,MetaProp AI is moving from digital workflows into construction, property, infrastructure, and energy. Explore where physical AI creates opportunities — and why building for the physical world requires a different approach from traditional software. Logan Farrell, Co-founder and CTO,Rugged Robotics; andAustin Yount, Partner,Brick & Mortar Ventures A great robotics demo isn’t the same as a useful product. This conversation gets into reliability, workflow integration, trust, ROI, and what physical AI needs to deliver before customers adopt it at scale. Srishti Chaudhary, Senior Manager, Product,Walmart eCommerce Commerce is moving from understanding search terms to understanding intent. Explore what agentic shopping means for personalization, transactions, LLMs, and ultimately who owns the relationship with the customer. Speaker details to be announced Quantum computing is getting closer to commercial relevance. This session gives investors a practical grounding in the technology, emerging opportunities, and the milestones that matter when separating genuine progress from hype. Brian Butler, Partner,Questa Capital Healthcare’s adoption of generative AI has moved unusually fast. Butler explores why, what barriers remain, and where founders can build durable value as healthcare organizations rethink the way they buy technology. Alex Li, Partner,MVP Ventures A fundraise is more than a pitch. Learn how to choose the right investors, secure introductions, manage a competitive process, negotiate terms, and build a cap table that helps rather than hinders future growth. Dr. Maha Achour, Co-founder and CEO,Kodamai; andPankaj Kedia, Founder and Managing Partner,2468 Ventures Why do so many enterprise AI projects stay stuck in pilot mode? Explore what needs to change to move agentic systems into trusted, verifiable, scaled production environments. Stephen Ward, Founder and Managing Partner,Brightmind Partners Ward shares lessons from mistakes made during his CISO career, from taking on unsustainable risk to approaching organizational maturity too early — and what other leaders can do differently. Jack Hidary, CEO,SandboxAQ; andStacie Calad-Thomson, Global BD Lead, Life Science Labs and Manufacturing,Nvidia The next wave of AI won’t just generate text. Explore AI grounded in physics, chemistry, biology, and mathematics — and the opportunities opening across healthcare, materials, energy, finance, and industrial systems. Kevin Hawkins, Head of Partnership Development and Media Distribution,New York Stock Exchange; withDrew Boyles, El Segundo City Councilmember Sponsored by New York Stock Exchange Why has El Segundo become such a magnet for space, defense, and hard tech startups? Hear what’s attracting founders, capital, and talent — and how a city can create an environment where hard tech companies can thrive. Cassie Kozyrkov, Founder,Kozyrand former Chief Decision Scientist, Google Sponsored by Signify Business Cash World Elite Mastercard by Wells Fargo Bring a real business challenge. Kozyrkov leads an interactive discussion about making better founder decisions, where AI can help, and where human judgment remains essential. Vishal KumarandTushar Kumar, Private Wealth Advisors and Co-founders,Twin Peaks Wealth Advisors Sponsored by Twin Peaks Wealth Advisors An IPO, acquisition, or tender offer creates a new set of decisions. Explore tax, concentration risk, lockups, liquidity, and how founders can protect what they have spent years building. Piotr Byrski, CEO and Co-founder,Molecule.one What happens when AI can test thousands of scientific ideas instead of a handful? Byrski explores autonomous experimentation, AI-driven discovery, and how these systems could change the pace of scientific progress. Aditi Maliwal, General Partner,Upfront Ventures Get inside the decision-making process behind an early institutional investment. Learn which founder signals matter before traction exists, how to tell your story, and what can kill an investment before it gets started. Marshall Egger, Founder and COO,Spacemilk Growth can look good while quietly draining cash. Bring your own questions and explore forecasting, inventory, retail terms, cash flow, and how to grow without losing sight of the P&L. Ankita Mehta, Senior Product Manager,Databricks Everyone wants agents, but not every workflow needs one. Learn where companies are seeing measurable value, why pilots stall, and how to evaluate agentic AI before committing infrastructure and teams to it. Mercedes BentandVanessa Larco, Co-founders and Managing Partners,Premise Open-weight models are creating more choice for AI builders. Explore the trade-offs around cost, security, performance, control, and where open models may offer startups a genuine advantage. Harrison Rolfes, Senior Research Analyst, Private Company Coverage,PitchBook With extraordinary amounts of capital flowing into frontier AI, is the market already locked up? Dig into where defensibility really sits and what capital concentration means for founders and investors outside the biggest labs. Itamar Novick, Founder and General Partner,Recursive Ventures; andBrian Sparkes, CEO,Silicon Valley Venture Corp. Sponsored by Silicon Valley Venture Learn when to start raising, how to build an investor narrative, generate momentum, and navigate the journey from an initial VC conversation to a closed institutional round. Kevin Bai, Member of Technical Staff,Anthropic Forward-deployed engineers sit somewhere between software engineering, product, and consulting. Learn when startups need them, where they fit commercially, and why the model can improve enterprise retention and expansion. Neil Sequeira, Founder and Partner,Defy.vc More capital isn’t always better. Sequeira explores overfunding, dilution, investor alignment, and how founders can raise enough to execute without creating expectations or incentives that hurt the business later. James Joaquin, Co-founder and Managing Director,Obvious Ventures Joaquin has built through multiple technology cycles. Hear why he sees AI as fundamentally different, where its real-world impact is already emerging, and how founders can operate when innovation is moving faster than conventional planning cycles. Parul Singh, Investment Partner,645 Ventures Agents are moving from helping people complete work to completing entire workflows themselves. Explore which categories could benefit most and where founders and investors see the biggest opportunities emerging. Naren Krishna, CEO and Co-founder,Balerion; andTravis Skelly, Partner,Pruven Capital Fortune 500 companies want AI without ripping out the systems their businesses depend on. Explore why intelligent agent layers could be a bigger near-term opportunity than replacing enterprise systems of record. Maryanne Alhallak, Co-founder and CEO,Lumeria;Anthea Guo, Co-founder and CTO,Lumeria; andKeith McAleer, Chief Marketing Officer,UC Berkeley SCET Sponsored by UC Berkeley Sutardja Center for Entrepreneurship and Technology (SCET) Explore UC Berkeley’s approach to entrepreneurship, hear directly from founders emerging from its ecosystem, and learn how investors, companies, and entrepreneurs can get involved. Join these sessions and more at Disrupt.Register now to save up to $100 on your pass and get a second pass at 50% off. Roundtables are where theDisrupt agendabecomes a conversation. Instead of just hearing how someone else approached a problem, you can ask the questions that matter to your company, compare experiences with the people around the table, and leave with ideas you can put to work. TechCrunch Disrupt 2026takes place October 13-15 at Moscone West in San Francisco. It’s the startup epicenter where 10,000+ tech leaders come together for insights designed to push the needle and spark meaningful connections. Register before doors open to save up to $100 on your pass and get 50% off a second ticketfor a co-founder, partner, colleague, or peer.

OpenAI just made one of its biggest bets yet on what comes after the chatbot. Now, the person leading that product is coming toTechCrunch Disrupt 2026, happening October 13-15. Alexander Embiricos, product lead for Dots at OpenAI, will join us at Moscone West in San Francisco just days after the company unveiled its new always-on personal AI agent. Dots are designed to go beyond answering prompts. They have their own cloud computers, can connect to the apps people use every day, and can keep working toward a goal in the background, potentially giving AI far greater access to our work and digital lives. Don’t miss this conversation, happening exclusively on theAI Stageat Disrupt.Register now to save up to $100 on your ticket and get a second pass at 50% off. That increased autonomy also raises some much harder questions. How much control are we actually willing to hand over to an AI agent? What should it be allowed to do without asking? And as these systems learn more about us and gain access to increasingly sensitive information, can companies like OpenAI earn enough trust for people to use them? At Disrupt, Embiricos will sit down with TechCrunch for his session called “What Comes After the Chatbot?” to talk about the thinking behindDots, where OpenAI believes personal agents are headed, and why privacy and trust could ultimately determine whether they take off. Join Alexander Embiricos and 250+ tech leaders spearheading the conversations across 200+ sessions in the six industry stages, roundtables, and breakouts at TechCrunch Disrupt, October 13–15 at Moscone West in San Francisco. Don’t forget about 10,000 founders, investors, and operators that you can spark meaningful connections with. Disrupt is just seven days away.Save up to $100 on your ticketbefore rates increase and get a second pass at 50% off.
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