Meta’s Muse is quickly becoming one of the most talked-about consumer AI agents but its rapid rise has already run into a major roadblock.The AI agent has climbed to the top of US mobile app charts, attracted hundreds of thousands of users and helped fuel a rally in Meta shares. Then Amazon blocked Muse from accessing its shopping site, saying the agent was unauthorised and raised privacy and security concerns. At the same time, a security researcher has reported a vulnerability that could potentially allow an attacker to gain access to a Muse authentication token. The developments highlight a much bigger question: how much control should AI agents have over our digital lives?<h2>What can Meta’s Muse actually do?</h2>Muse is designed to go beyond answering questions. The agent can navigate a user's email, calendar, payments, shopping, travel, dining and other services to complete tasks on their behalf. That can include filling forms, organising inboxes, booking travel, creating grocery lists and making purchases. Unlike traditional chatbots, Muse is therefore being positioned as a consumer-facing AI agent that can take action rather than simply provide information. Its popularity has grown rapidly. According to Sensor Tower data cited in the supplied report, Muse was downloaded more than 900,000 times in its first six days and later surpassed 2.6 million cumulative downloads across iOS and Android.<h2>Why did Amazon block Muse?</h2>Amazon says Muse was accessing its shopping platform without advance notice from Meta. The company accused the agent of potentially bypassing features built into Amazon's shopping experience and raising concerns around customer credentials and account data. Amazon said third-party agents should respect the decisions of websites and services about whether they want to participate.The dispute points to a coming battle over agentic commerce. If users increasingly tell an AI agent to shop, book restaurants or arrange travel, websites may no longer interact directly with the customer. Instead, the agent becomes the middleman. That could fundamentally change how online businesses operate.<h2>The security question</h2>Privacy is not the only concern.Security researcher Patrick Wardle reportedly discovered a zero-day vulnerability that could potentially allow another application or terminal command to access a token used to authenticate a user's Muse account. He said an attacker could potentially exploit the agent's existing privileges rather than building separate malware. The reported vulnerability does not mean Muse users have been broadly hacked. But it highlights the unusually high security demands placed on AI agents that can access email, messages, files and other personal services.Meta has said Muse was designed with privacy and security in mind. The bigger challenge is becoming clear: the more an AI agent can do for you, the more dangerous it could become if that access is misused. &nbsp;

Meta’s Muse AI agent is gaining users rapidly as it takes action across apps and websites. Amazon has blocked it from shopping, citing privacy and security concerns, while a researcher has reported a vulnerability that could potentially expose its authentication system.

Meta’s Muse is quickly becoming one of the most talked-about consumer AI agents but its rapid rise has already run into a major roadblock. The AI agent has climbed to the top of US mobile app charts, attracted hundreds of thousands of users and helped fuel a rally in Meta shares. Then Amazon blocked Muse from accessing its shopping site, saying the agent was unauthorised and raised privacy and security concerns. At the same time, a security researcher has reported a vulnerability that could potentially allow an attacker to gain access to a Muse authentication token. The developments highlight a much bigger question: how much control should AI agents have over our digital lives? What can Meta’s Muse actually do? Muse is designed to go beyond answering questions. The agent can navigate a user's email, calendar, payments, shopping, travel, dining and other services to complete tasks on their behalf. That can include filling forms, organising inboxes, booking travel, creating grocery lists and making purchases. Unlike traditional chatbots, Muse is therefore being positioned as a consumer-facing AI agent that can take action rather than simply provide information. Its popularity has grown rapidly. According to Sensor Tower data cited in the supplied report, Muse was downloaded more than 900,000 times in its first six days and later surpassed 2.6 million cumulative downloads across iOS and Android. Why did Amazon block Muse? Amazon says Muse was accessing its shopping platform without advance notice from Meta. The company accused the agent of potentially bypassing features built into Amazon's shopping experience and raising concerns around customer credentials and account data. Amazon said third-party agents should respect the decisions of websites and services about whether they want to participate. The dispute points to a coming battle over agentic commerce. If users increasingly tell an AI agent to shop, book restaurants or arrange travel, websites may no longer interact directly with the customer. Instead, the agent becomes the middleman. That could fundamentally change how online businesses operate. The security question Privacy is not the only concern. Security researcher Patrick Wardle reportedly discovered a zero-day vulnerability that could potentially allow another application or terminal command to access a token used to authenticate a user's Muse account. He said an attacker could potentially exploit the agent's existing privileges rather than building separate malware. The reported vulnerability does not mean Muse users have been broadly hacked. But it highlights the unusually high security demands placed on AI agents that can access email, messages, files and other personal services. Meta has said Muse was designed with privacy and security in mind. The bigger challenge is becoming clear: the more an AI agent can do for you, the more dangerous it could become if that access is misused.

Meta’s Muse AI agent is gaining users rapidly as it takes action across apps and websites. Amazon has blocked it from shopping, citing privacy and security concerns, while a researcher has reported a vulnerability that could potentially expose its authentication system.

Meta Muse AI agent: Why Amazon blocked it and why hackers are now a concern

Some of Google's brightest AI minds are leaving the company to pursue an even bigger ambition: building AI that can make scientific discoveries on its own. Former Google DeepMind Chief Scientist Jeff Dean, together with Sanjay Ghemawat, Oriol Vinyals and Quoc Le, has launched Discovery Loop, a new AI startup focused on automating scientific and engineering research. The announcement comes alongside a major leadership reshuffle at Google DeepMind, where Demis Hassabis is stepping down as CEO to become Alphabet's Chief Scientist. The move is one of the biggest talent shifts in Google's AI history and comes as competition with OpenAI and Anthropic continues to intensify.

<blockquote class="twitter-tweet">Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators <a href="https://x.com/Sanjay_Ghemawat?ref_src=twsrc%5Etfw">@Sanjay_Ghemawat</a>, <a href="https://x.com/OriolVinyalsML?ref_src=twsrc%5Etfw">@OriolVinyalsML</a> and <a href="https://x.com/quocleix?ref_src=twsrc%5Etfw">@quocleix</a>, we are founding Discovery Loop (<a href="https://x.com/DiscoLoopAI?ref_src=twsrc%5Etfw">@DiscoLoopAI</a>), a Public Benefit Corporation whose mission is to automate machine… <a href="https://t.co/ancoplyNvN">pic.twitter.com/ancoplyNvN</a>&mdash; Jeff Dean (@JeffDean) <a href="https://x.com/JeffDean/status/2085034604172603724?ref_src=twsrc%5Etfw">August 5, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What exactly is Discovery Loop?</h2>Discovery Loop is developing AI systems that do more than answer questions or write code. Its goal is to build autonomous "discovery loops" that can propose experiments, run simulations, analyse results and continuously improve themselves with minimal human involvement.&nbsp; Initially, the startup will use its own AI to improve machine learning systems. Over time, it plans to apply the same approach to biology, drug discovery, materials science and semiconductor design. According to Jeff Dean, the founders realised AI could eventually automate the entire scientific and engineering process instead of simply assisting researchers.<h2>Why are Google's top researchers leaving?</h2>Jeff Dean spent 27 years at Google and helped build technologies including MapReduce, Bigtable, Google Brain and Gemini. Sanjay Ghemawat co-created much of Google's search infrastructure, while Oriol Vinyals led Gemini research and Quoc Le pioneered Google's AutoML projects. According to WIRED, Alphabet CEO Sundar Pichai tried to persuade the team to remain at Google. Instead, they chose to build a startup where they could move faster and focus entirely on scientific AI. Google will remain a founding investor and provide cloud computing infrastructure during Discovery Loop's early stages.<h2>Why Discovery Loop matters</h2>Discovery Loop is betting that AI's biggest impact will not be chatbots, but accelerating scientific breakthroughs. The founders believe future AI systems could generate original research ideas, test thousands of hypotheses and help scientists solve problems that would otherwise take years. That vision mirrors comments made by AI leaders including Sam Altman, Dario Amodei and Jensen Huang, who argue AI will become a powerful engine for scientific discovery. However, Discovery Loop's founders bring decades of experience building some of the world's most advanced AI systems, giving the startup unique credibility. As Google restructures its AI leadership and rivals race ahead, Discovery Loop could become one of the most closely watched AI startups in the world.

Four of Google's most influential AI researchers have launched Discovery Loop, a startup that aims to build AI capable of running scientific experiments, generating new ideas and accelerating discoveries in fields ranging from biology to chip design.

Some of Google's brightest AI minds are leaving the company to pursue an even bigger ambition: building AI that can make scientific discoveries on its own. Former Google DeepMind Chief Scientist Jeff Dean, together with Sanjay Ghemawat, Oriol Vinyals and Quoc Le, has launched Discovery Loop, a new AI startup focused on automating scientific and engineering research. The announcement comes alongside a major leadership reshuffle at Google DeepMind, where Demis Hassabis is stepping down as CEO to become Alphabet's Chief Scientist. The move is one of the biggest talent shifts in Google's AI history and comes as competition with OpenAI and Anthropic continues to intensify.

Four of Google's most influential AI researchers have launched Discovery Loop, a startup that aims to build AI capable of running scientific experiments, generating new ideas and accelerating discoveries in fields ranging from biology to chip design.

Google DeepMind's top AI researchers leave to build a startup focused on scientific breakthroughs: Here's what it does

Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.

<blockquote class="twitter-tweet">Gemini Spark is rolling out to Google AI Pro users outside the U.S. Spark is your personal AI agent that works in the background 24/7 to get things done under your direction, handling the heavy lifting so you can focus on what matters. <a href="https://t.co/qq1RQK221m">https://t.co/qq1RQK221m</a>&mdash; Google Gemini (@GeminiApp) <a href="https://x.com/GeminiApp/status/2083302569796059271?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is Gemini Spark?</h2>Google describes Spark as a 24/7 personal AI agent that works under a user's instructions. Instead of answering a single question, Spark can take on longer tasks, continue working in the background and notify users when the job is complete. The idea is to reduce repetitive work while allowing people to focus on more important tasks. According to Google, Spark is built to handle the "heavy lifting", making Gemini less like a chatbot and more like a digital assistant that works independently.<h2>More than an AI chatbot</h2>Gemini Spark represents Google's broader push into agentic AI systems capable of planning, executing and managing tasks with minimal human intervention. Unlike traditional assistants that require constant prompts, Spark can keep working after a task has been assigned. That makes it useful for research, document preparation, coding workflows, information gathering and other time-consuming activities. The launch also reflects an industry-wide shift from conversational AI to autonomous AI agents that can complete real-world work.<h2>Who can use it?</h2>Gemini Spark is currently rolling out in phases to Google AI Pro and Google AI Ultra subscribers outside the US, including users in India. Google says availability will expand gradually over the coming weeks, meaning some eligible users may receive access before others. With Spark, Google is signalling its ambition to make Gemini a full-time AI assistant rather than just another chatbot. As competition intensifies between Google, OpenAI and Anthropic, always-on AI agents could become the next major battleground in generative AI.

Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.

Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.

Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.

Claude Code killer? Gemini Spark is now available in India, and AI can now work without your laptop

OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut.<h2>OpenAI superapp: What reports are saying</h2>According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like &nbsp;booking flight tickets or managing calendars, &nbsp;rather than simply answering queries.Also read: <a href="https://www.wionews.com/world/openai-ceo-seeks-expanded-ai-testing-rejects-pre-release-government-approval-rules-1780553999229">OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules</a><h2>OpenAI superapp will have coding tools front and centre</h2>The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users.&nbsp;<a href="https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed">https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed</a><h2>OpenAI interface redesign to funnel users toward new capabilities</h2>OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - &nbsp;apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution.Also read: <a href="https://www.wionews.com/world/trump-administration-government-stake-openai-sam-altman-1780749692161">Trump administration explores potential government stake in OpenAI</a><h2>OpenAI is still not revealing much about superapp plans</h2>OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end.Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports.&nbsp;While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.

OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.

OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut. OpenAI superapp: What reports are saying According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like booking flight tickets or managing calendars, rather than simply answering queries. Also read: OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules OpenAI superapp will have coding tools front and centre The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users. https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed OpenAI interface redesign to funnel users toward new capabilities OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution. Also read: Trump administration explores potential government stake in OpenAI OpenAI is still not revealing much about superapp plans OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end. Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports. While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.

OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.

OpenAI is planning a superapp ahead of IPO. What reports are claiming

Artificial intelligence agents are increasingly becoming part of workplace tools. Now, Google is experimenting with an internal AI system called Agent Smith, designed to automate tasks and allow employees to monitor work directly from their phones.&nbsp;The internal tool allows engineers and other employees to assign tasks that run automatically in the background. Workers can then check progress, review updates or send new instructions using their mobile devices. Reports indicate the system is already helping engineers complete routine tasks more quickly while reducing manual workload.&nbsp;<h2>What is Google’s ‘Agent Smith’?</h2>Agent Smith is an AI-powered system developed internally at Google. Unlike traditional coding assistants, the tool can plan and execute multiple steps of a workflow on its own. The AI system builds on Google’s existing agentic coding platform known as Antigravity. It can interact with various internal tools and services used inside the company.&nbsp;Employees can assign tasks to the system, which then works independently. The agent operates asynchronously, meaning it continues running even when the employee is offline or their laptop is closed.&nbsp;Workers can later check progress from their phones, review results or give further instructions.&nbsp;<h2>How the AI agent works inside Google</h2>According to people familiar with the system, Agent Smith can perform several functions that normally require manual work.&nbsp;These include:Automating parts of coding workflowsAccessing internal documents and toolsManaging multi-step tasks in the backgroundSending updates through internal chat platforms&nbsp;Because the system can access employee profiles and internal documentation, it can retrieve information that workers would otherwise need to search manually.&nbsp;Some engineers say the tool helps reduce time spent on repetitive tasks and allows them to focus on more complex work.&nbsp;<h2>Why Google is investing heavily in AI agents</h2>Agentic AI systems that perform actions autonomously is becoming a major focus across the technology industry.&nbsp;Google co-founder Sergey Brin reportedly told employees during a recent town hall meeting that AI agents will play an important role inside the company this year. At the same time, Google CEO Sundar Pichai has encouraged employees to adopt AI tools internally. According to reports, some teams have even been told that the use of AI may be considered in performance evaluations. The company sees AI automation as a way to improve productivity as competition among technology firms intensifies.&nbsp;<h2>Part of a broader industry trend</h2>Google is not the only company exploring autonomous AI agents. Several major technology firms are investing in systems that go beyond simple chatbots.&nbsp;Instead of just generating answers, agentic AI tools can:&nbsp;Run commandsanalyse documentscoordinate workflowsinteract with software systems&nbsp;This approach aims to turn AI into a digital worker that can handle routine tasks independently. For companies with large engineering teams, such tools could significantly change how software development and internal operations are managed.&nbsp;<h2>What the future of AI agents may look like</h2>Google has not officially confirmed detailed plans for Agent Smith. A company spokesperson told reporters that Google is constantly experimenting with new ways to build AI agents that solve real-world problems. If systems like Agent Smith continue to develop, they could change how employees interact with computers. Instead of working primarily from laptops, workers may increasingly assign tasks to AI systems and monitor progress remotely. The concept of “work from phone” may become more common as AI agents handle complex workflows in the background. For now, Agent Smith remains an internal experiment. However, it highlights how technology companies are exploring new ways to integrate AI into everyday work.

Google is testing an internal AI agent called Agent Smith, designed to automate workplace tasks. Built on Antigravity, the system can run workflows independently, access internal tools and documents, and allow employees to assign tasks and monitor progress from their phones. 

Artificial intelligence agents are increasingly becoming part of workplace tools. Now, Google is experimenting with an internal AI system called Agent Smith, designed to automate tasks and allow employees to monitor work directly from their phones. The internal tool allows engineers and other employees to assign tasks that run automatically in the background. Workers can then check progress, review updates or send new instructions using their mobile devices. Reports indicate the system is already helping engineers complete routine tasks more quickly while reducing manual workload. What is Google’s ‘Agent Smith’? Agent Smith is an AI-powered system developed internally at Google. Unlike traditional coding assistants, the tool can plan and execute multiple steps of a workflow on its own. The AI system builds on Google’s existing agentic coding platform known as Antigravity. It can interact with various internal tools and services used inside the company. Employees can assign tasks to the system, which then works independently. The agent operates asynchronously, meaning it continues running even when the employee is offline or their laptop is closed. Workers can later check progress from their phones, review results or give further instructions. How the AI agent works inside Google According to people familiar with the system, Agent Smith can perform several functions that normally require manual work. These include: Automating parts of coding workflows Accessing internal documents and tools Managing multi-step tasks in the background Sending updates through internal chat platforms Because the system can access employee profiles and internal documentation, it can retrieve information that workers would otherwise need to search manually. Some engineers say the tool helps reduce time spent on repetitive tasks and allows them to focus on more complex work. Why Google is investing heavily in AI agents Agentic AI systems that perform actions autonomously is becoming a major focus across the technology industry. Google co-founder Sergey Brin reportedly told employees during a recent town hall meeting that AI agents will play an important role inside the company this year. At the same time, Google CEO Sundar Pichai has encouraged employees to adopt AI tools internally. According to reports, some teams have even been told that the use of AI may be considered in performance evaluations. The company sees AI automation as a way to improve productivity as competition among technology firms intensifies. Part of a broader industry trend Google is not the only company exploring autonomous AI agents. Several major technology firms are investing in systems that go beyond simple chatbots. Instead of just generating answers, agentic AI tools can: Run commands analyse documents coordinate workflows interact with software systems This approach aims to turn AI into a digital worker that can handle routine tasks independently. For companies with large engineering teams, such tools could significantly change how software development and internal operations are managed. What the future of AI agents may look like Google has not officially confirmed detailed plans for Agent Smith. A company spokesperson told reporters that Google is constantly experimenting with new ways to build AI agents that solve real-world problems. If systems like Agent Smith continue to develop, they could change how employees interact with computers. Instead of working primarily from laptops, workers may increasingly assign tasks to AI systems and monitor progress remotely. The concept of “work from phone” may become more common as AI agents handle complex workflows in the background. For now, Agent Smith remains an internal experiment. However, it highlights how technology companies are exploring new ways to integrate AI into everyday work.

Google is testing an internal AI agent called Agent Smith, designed to automate workplace tasks. Built on Antigravity, the system can run workflows independently, access internal tools and documents, and allow employees to assign tasks and monitor progress from their phones.&nbsp;

Google’s ‘Agent Smith’: AI agent lets employees run tasks directly from their phones

We are currently watching the United States and China fundamentally alter the future of human civilization through AI, while India’s brightest 25-year-olds are sitting in windowless rooms in Delhi, memorizing the 1848 annexation policies of Lord Dalhousie.

We are currently watching the United States and China fundamentally alter the future of human civilization through AI, while India’s brightest 25-year-olds are sitting in windowless rooms in Delhi, memorizing the 1848 annexation policies of Lord Dalhousie.

'Pride stuck in UPSC': Why China is humiliating India in AI race?

AI agents became one of the biggest tech trends in recent months. At the centre of this wave was Peter Steinberger, the creator of OpenClaw, a viral AI agent project that quickly gained global attention.&nbsp;Now, Steinberger has joined OpenAI to work on personal AI agents.&nbsp;<h2>What is OpenClaw and how did it go viral?</h2>OpenClaw is an AI agent system designed to operate across digital tools, similar to how a human uses a computer. Instead of just answering questions like a chatbot, it can take actions searching, sending messages, organising information and managing workflows.&nbsp;According to Steinberger in interviews, OpenClaw started as an experimental project. He said he did not begin with a clear business plan.&nbsp;“I just experimented a lot. My mission was to have fun and inspire people,” he explained in a developer podcast conversation.&nbsp;The turning point came when he used the tool during a weekend trip in Marrakesh. With limited internet access, the WhatsApp-based integration worked smoothly, allowing him to search restaurants, message friends and manage tasks.&nbsp;Users online quickly noticed its capabilities. Videos and demonstrations spread across X and developer forums, and OpenClaw became widely discussed in the AI community.&nbsp;The project reflected a broader shift in AI from chatbots to “agentic AI”, systems that perform actions independently.<h2>Peter Steinberger</h2>He is a software engineer and entrepreneur known for building developer tools. Before OpenClaw, he had already founded and worked on multiple software projects.&nbsp;In interviews, he describes himself as “a builder at heart”. He previously spent over a decade running a company, and has spoken openly about not wanting to repeat the traditional startup path again.&nbsp;“I don’t want to build another company. I want to change how people use AI,” he wrote in a blog post announcing his move to OpenAI.&nbsp;Steinberger has not publicly disclosed his net worth. However, he is known in the developer ecosystem for building widely used tools before his AI work.&nbsp;His approach to AI development focuses on experimentation rather than perfection. He often advises developers to be playful and allow themselves time to improve.&nbsp;“You’re not going to be good at guitar on the first day,” he said, comparing AI-assisted coding to learning a musical instrument.

<blockquote class="twitter-tweet">I&#39;m joining <a href="https://twitter.com/OpenAI?ref_src=twsrc%5Etfw">@OpenAI</a> to bring agents to everyone. <a href="https://twitter.com/openclaw?ref_src=twsrc%5Etfw">@OpenClaw</a> is becoming a foundation: open, independent, and just getting started.🦞<a href="https://t.co/XOc7X4jOxq">https://t.co/XOc7X4jOxq</a>&mdash; Peter Steinberger 🦞 (@steipete) <a href="https://twitter.com/steipete/status/2023154018714100102?ref_src=twsrc%5Etfw">February 15, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>Why did OpenAI hire him?</h2>OpenAI CEO Sam Altman announced that Steinberger would join the company to work on personal AI agents.The move comes as AI companies compete to build systems that go beyond chat tools that can plan, coordinate and execute tasks.Agentic AI is becoming a priority area across the industry. Companies such as Anthropic and Google are also investing heavily in AI systems that can operate software autonomously.&nbsp;Steinberger said OpenClaw will move to a foundation model and remain open and independent, while he works at OpenAI to bring agents “to everyone”.&nbsp;He added that building agents that ordinary users including his own family can use safely will require access to frontier AI models and strong safety systems.&nbsp;

<blockquote class="twitter-tweet">Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our…&mdash; Sam Altman (@sama) <a href="https://twitter.com/sama/status/2023150230905159801?ref_src=twsrc%5Etfw">February 15, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>What does this mean for agentic AI?</h2>The rise of OpenClaw shows how quickly experimental AI projects can gain traction. It also reflects a wider change in how AI is being used.&nbsp;Traditional chatbots generate text. Agentic AI systems can:&nbsp;Run commandsUse web browsersManage filesInteract with appsCoordinate tasks across toolsIndustry analysts say this shift could reshape productivity software, enterprise workflows and digital labour.&nbsp;Steinberger believes the future belongs to builders who combine creativity with AI tools.“If your identity is: I want to create things and solve problems, you will be in more demand than ever,” he said.Peter Steinberger’s journey from an experimental AI project to OpenAI highlights how fast the AI ecosystem is evolving.OpenClaw’s viral moment came not from marketing, but from developers sharing what they built. His move to OpenAI signals that large AI labs are taking agentic systems seriously.As AI shifts from answering questions to taking action, figures like Steinberger may play a key role in shaping how people interact with intelligent systems in daily life.For readers following AI innovation, his story reflects a simple idea: experimentation, combined with strong technical foundations, can lead to global impact.

Peter Steinberger, creator of the viral AI agent OpenClaw, has joined OpenAI to work on personal AI agents. OpenClaw gained global attention for moving beyond chatbots to agentic AI systems that can take actions like browsing, messaging and managing workflows. 

AI agents became one of the biggest tech trends in recent months. At the centre of this wave was Peter Steinberger, the creator of OpenClaw, a viral AI agent project that quickly gained global attention. Now, Steinberger has joined OpenAI to work on personal AI agents. What is OpenClaw and how did it go viral? OpenClaw is an AI agent system designed to operate across digital tools, similar to how a human uses a computer. Instead of just answering questions like a chatbot, it can take actions searching, sending messages, organising information and managing workflows. According to Steinberger in interviews, OpenClaw started as an experimental project. He said he did not begin with a clear business plan. “I just experimented a lot. My mission was to have fun and inspire people,” he explained in a developer podcast conversation. The turning point came when he used the tool during a weekend trip in Marrakesh. With limited internet access, the WhatsApp-based integration worked smoothly, allowing him to search restaurants, message friends and manage tasks. Users online quickly noticed its capabilities. Videos and demonstrations spread across X and developer forums, and OpenClaw became widely discussed in the AI community. The project reflected a broader shift in AI from chatbots to “agentic AI”, systems that perform actions independently. Peter Steinberger He is a software engineer and entrepreneur known for building developer tools. Before OpenClaw, he had already founded and worked on multiple software projects. In interviews, he describes himself as “a builder at heart”. He previously spent over a decade running a company, and has spoken openly about not wanting to repeat the traditional startup path again. “I don’t want to build another company. I want to change how people use AI,” he wrote in a blog post announcing his move to OpenAI. Steinberger has not publicly disclosed his net worth. However, he is known in the developer ecosystem for building widely used tools before his AI work. His approach to AI development focuses on experimentation rather than perfection. He often advises developers to be playful and allow themselves time to improve. “You’re not going to be good at guitar on the first day,” he said, comparing AI-assisted coding to learning a musical instrument.

Peter Steinberger, creator of the viral AI agent OpenClaw, has joined OpenAI to work on personal AI agents. OpenClaw gained global attention for moving beyond chatbots to agentic AI systems that can take actions like browsing, messaging and managing workflows.&nbsp;

Who is Peter Steinberger? OpenClaw founder shaping the future of agentic AI who has now joined OpenAI

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Who is Peter Steinberger? The OpenClaw founder now building agentic AI at OpenAI