By Alina Maria Stan Summary: SpaceX’s confidential S-1 pre-IPO filing warns that its orbital AI data centre plans “involve significant technical complexity and unproven technologies, and may not achieve commercial viability,” contradicting Elon Musk’s January claim at Davos that space-based AI was a “no-brainer” achievable within two to three years. The filing comes as SpaceX targets a $1.75 trillion […] This story continues at The Next Web
Source:: The Next Web
By Varun Mirchandani OpenAI introduces workspace agents in ChatGPT, allowing teams to automate workflows, run tasks in the background, and turn AI into a collaborative work assistant.
Source:: Digital Trends
By Cristian Dina Summary: VAST Data raised $1 billion in a Series F at a $30 billion valuation, more than tripling from $9.1 billion, with Drive Capital and Access Industries co-leading and Nvidia, Fidelity, and NEA participating. More than $500 million is secondary capital. The company reports $4 billion in cumulative bookings, $500 million-plus in committed ARR, and […] This story continues at The Next Web
Source:: The Next Web
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Google wants its Chat app to become the main interface for office workers to interact with AI agents within its Workspace suite.
“We’re making Chat the centerpiece through which people talk, not just with other people, but with all their agents, whether they are in Workspace or built on our platform,” Google Cloud CEO Thomas Kurian said in a briefing on the company’s plans.
The Ask Gemini in Chat feature — generally available now — also allows Workspace users to interact with third-party tools such as Asana, Jira, and Salesforce, Google said in a blog post. Ask Gemini in Chat provides a “daily briefing” that highlights action items, unread message threads, and tasks to complete. It can also act on behalf of a user, generating documents and slides, scheduling meetings, and retrieving files, for instance.
Irwin Lazar, principal analyst at Metrigy, said the addition of Ask Gemini in Chat highlights Google’s efforts to compete more directly with Microsoft Teams. “Today, chat is the primary interface for employee engagement as email has fallen by the wayside,” he said. “Ideally, I’d like to see the AI interface be equally accessible across all apps, so one could access it in Gmail, Docs, etc.”
Other AI-related updates to Workspace apps announced at Google Cloud Next include the ability to build and edit spreadsheets in Sheets via natural language prompts; Gemini can orchestrate “multi-step construction” and combine data from various sources such as a user’s files, emails, and chats, as well as the web. Gemini in Docs is getting an upgrade, too, with the ability to create infographics grounded in business data.
Underpinning some of the Gemini features is a new work graph, Workspace Intelligence, that connects data held across emails, chats, files and the web to improve the accuracy and relevance of outputs from Gemini agents. Workspace Intelligence “understands complex semantic relationships” between a user’s data and apps, helping to personalize these outputs by learning past work and communication patterns,” Google said.
Customers’ Workspace Intelligence data is not reviewed by Google staff, sold to advertisers, or used to train Google’s AI models, unless the customer gives permission to do so, the company said.
Work Intelligence is similar to tools such as Microsoft’s Work IQ, said Lazar. “The basic idea is giving employees an AI agent that has visibility into both their own activities as well as company knowledge, enabling them to be more efficient in managing work,” he said. “The challenge for any of these tools is that to be truly useful, they need to be able to pull in data from external sources such as CRM, ERP, project management, etc.”
It’s also important to function in multi-vendor environments now common for customer organizations, such as “mixed Google-Microsoft-Zoom-Cisco-Slack shops,” he said. “The third-party integrations are still coming, but I’m not sure if/when we’ll see multi-vendor integration.”
Google also unveiled a series of updates at Cloud Next to Gemini Enterprise, the standalone app that lets users interact with AI agents, as well as new governance tools for IT teams.
Source:: Computer World
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Google has updated its Gemini Enterprise app, adding new ways for office workers to build, manage, and interact with AI agents. The company also rolled out additional tools for IT teams to govern the use of agents via the new Gemini Enterprise Agent Platform.
Google first unveiled Gemini Enterprise last year, pitching it as a way for knowledge workers to access agents that can surface information and carry out tasks autonomously.
At Google Cloud Next this week, Google announced a raft of new features in the Gemini Enterprise app that are expected to be available over the “coming months.” Among these are new ways to interact with Gemini Enterprise, either independently or alongside colleagues. Projects is a new collaborative workspace that enables teams to interact with a shared “expert” chatbot that’s connected to specific data sources from Google Workspace, Microsoft 365 and team chats.
The Gemini Enterprise application is built on Google’s new Agent Platform for building and managing agents at scale.
Google
A new Canvas tool lets users create and co-edit documents directly within Gemini Enterprise, whether that’s Google Docs and Slides, as well as Microsoft 365 files. Google is also making agents more accessible to users — and more capable.
Agent Designer, for example, is a no-code agent builder tool that lets users create “schedule- or trigger-based” agents with natural language prompts or via a visual interface. Announced in preview last year, the feature is now ready for general release in the next few weeks, providing users a “virtual flowchart” interface to inspect and test each step in an agent workflow. It’s also possible to insert human-in-the-loop checkpoints to approve actions when needed.
[ Also see: How to build your own AI agents with Google Workspace Studio ]Then there are new “long-running” agents that can tackle more complex business processes, Google said. The agents work autonomously in cloud sandboxes, and can complete multi-step workflows such as financial reconciliations that can take days to complete.
The Agent Gallery provides access to third-party agents from the likes of Adobe, Lovable, and ServiceNow.
To help manage the various agents working across Gemini Enterprise, Google introduced Inbox, a “central command location to monitor, guide, and securely manage all of your agent activity,” the company said in a blog post. That includes the long-running agents.
The Inbox tab provides a space for Gemini Enterprise users to manage agents, receive notifications, and track task completion progress.
Google
From Inbox, users can monitor active agents and view notifications around agent actions such as “Needs your input,” “Errors,” and “Completed,” to provide a “clear, consolidated view of ongoing agent progress.”
Mike Leone, vice president and principal analyst at Moor Insights & Strategy, said that while the Project and Canvas features are “table stakes” these days when it comes to AI agents, the Inbox feature is an interesting addition. “Keeping humans in the loop when async agents are running multi-day workflows in the background is a genuinely unsolved problem, and treating agent output as a prioritized notification queue is a solid way to tackle it,” Leone said.
Gemini Enterprise costs $30 per user each month for large organizations, and $21 per user for smaller businesses. Gemini Enterprise relies on Google’s own large language models (LLMs) such as Gemini 3.1 Pro, Gemini 3.1 Flash Image, and Lyria 3, as well as third-party models such as Anthropic’s Claude Opus 4.7.
Underpinning the Gemini Enterprise app is the new Gemini Enterprise Agent Platform that’s billed as the platform to “build, scale, govern, and optimize agents,” said Michael Gerstenhaber, vice president of product management, Cloud AI, Google Cloud.
IT gets new agentic AI management tools, too
As part of the Agent Platform, Google introduced new tools at Cloud Next to help IT teams manage agents built and deployed in Gemini Enterprise. Among these is Agent Identity, which assigns a unique cryptographic ID to each agent operating in Gemini Enterprise.
“This creates a clear, auditable trail for every action an agent takes, mapped back to defined authorization policies,” said Gerstenhaber. It’s similar to Microsoft’s Agent 365 platform, where each agent is assigned a unique Microsoft Entra ID to track usage and apply risk policies.
The new Agent Registry acts as a “central library,” indexing all internal agents and skills to help IT ensure that only approved assets are accessible; Gerstenhaber described Agent Gateway as the “air traffic control” for a customer’s agents, providing “secure, unified connectivity between agents and tools across any environment.”
These are all tools that will appeal to IT as businesses start to push on with their use of agents, said Leone. “Google wants every agent action to leave the same audit trail a payroll transaction does. That’s a high bar,” he said. “Agents are going to be taking real actions on employees’ behalf at scale, and no enterprise will roll that out without knowing exactly who did what, when, and why.”
Agent Platform “sits in the same competitive neighborhood” as enterprise agent products from the likes of Microsoft, OpenAI, and AWS, said Leone, that also provide tools to build, govern, and orchestrate agents at scale.
“Implementing agentic processes is seen by most vendors as the next big opportunity to drive adoption of AI technologies in enterprise environments,” said Ed Anderson, research vice president and distinguished analyst at Gartner. “There will be a lot of competition in this area.”
According to Leone, Google’s edge lies in a “full-stack ownership claim few other vendors can make as cleanly, across infrastructure, models, data, security, and end-user apps,” he said. Tools such as Agent Identity, Registry and Gateway — as well as security features such as Model Armor and MCP and A2A protocols to connect agents — will help provide IT with visibility and control when running thousands of agents across business units.
“My bigger concern is that a typical IT buyer still struggles to figure out what to buy from Google and what each product actually includes as the portfolio and services have grown and evolved quickly,” said Leone.
Pricing for the Gemini Enterprise Agent Platform was not immediately available.
Source:: Computer World
By Adarsh Verma For decades, playing a video game was like following someone’s elaborate script. Every character and branching…
The post The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds appeared first on Fossbytes.
Source:: Fossbytes
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By Varun Mirchandani ChatGPT Images 2.0 brings smarter, more accurate image generation with better text handling and consistency, pushing AI visuals closer to real-world usability.
Source:: Digital Trends
By Alina Maria Stan Summary: Bloomberg frames Apple’s CEO transition as a bet on “Jobs-era decisiveness,” with John Ternus expected to centralise decision-making and move faster on AI, where Apple’s models trail year-old competitors and the Siri overhaul has been delayed three times since 2024. He inherits a product roadmap spanning a foldable iPhone, smart glasses, and a HomePad, […] This story continues at The Next Web
Source:: The Next Web
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LinkedIn is testing a new AI feature, Crosscheck, which allows users to compare several popular AI models directly on the platform. Users enter prompts into Crosscheck and receive two different responses generated by competing AI models from companies such as OpenAI, Anthropic, and Google.
After the user selects the best response, the model behind each answer is revealed. LinkedIn product manager Hari Srinivasan describes the service as a kind of blind taste test for AI models, according to Engadget.
Crosscheck works only with text, but has no limits on the number of questions. At the same time, LinkedIn shares anonymized user data with the AI companies to provide insights into how the models perform across different professional groups.
The feature is initially available to LinkedIn Premium subscribers in the US, with plans to expand to more countries and free users soon.
Source:: Computer World
By Ana-Maria Stanciuc The US president told CNBC on Tuesday that Anthropic is ‘shaping up’ following a White House meeting last Friday at which the company’s CEO Dario Amodei discussed its Mythos AI model with Chief of Staff Susie Wiles and Treasury Secretary Scott Bessent. The Pentagon’s blacklisting of Anthropic remains in legal limbo, with a federal appeals […] This story continues at The Next Web
Source:: The Next Web
Apple now has a new iCEO, as current leader Tim Cook (65) announced late Monday that he is set to become chairman of the board, while current head of hardware engineering, John Ternus, prepares to take over as CEO on Sept. 1.
As you’d expect, this leadership transition at one of the world’s most successful firms, is generating reams of news reports and hot takes. Here’s mine: Just as Steve Jobs presided over the resurrection of Apple and Cook led the company through unprecedented business growth, Ternus will guide the company through an era of equally unprecedented hardware proliferation.
Expect more growth
He’s someone who cares about craft in hardware design and recently appeared in a worth-watching video interview (chaperoned by Greg Joswiak, the company’s senior vice president of worldwide marketing). The soon-to-be-CEO did well in what was an obvious media training exercise. “Everything we do, even if our customers don’t necessarily see it, everything we do has some new ideas in it…, we feel like we’re innovating all the time,” he said.
Among a range of achievements, Cook innovated operations to the extent that every product Apple makes is supported by the world’s most efficient multinational manufacturing and logistics system. While he did, Ternus innovated product. “John Ternus has the mind of an engineer, the soul of an innovator, and the heart to lead with integrity and with honor,” said Cook.
The current CEO has had to handle huge supply chain challenges while scaling logistics to support growth. The numbers illustrate this: Apple sold 18.1 million Macs in the year following his appointment as CEO 15 years ago. In 2025, it sold 27.2 million. iPhone sales grew from 136 million in 2011 to 247 million last year. Rumor has it the MacBook Neo has shifted as many as 10 million units, just as Ternus turns up to take that figure higher.
“Tim’s unprecedented and outstanding leadership has transformed Apple into the world’s best company,” said outgoing Apple board chairman Arthur Levinson.
You don’t need a weatherman
You can see which way the wind blows.
Apple’s hardware is selling in record quantities, even as the company seems more prepared – and better able – than ever before to widen its addressable market with more affordable products. It is able to do this without compromising on product quality or user experience for three big reasons:
The massive per-customer services income built by Cook.
Huge iPhone sales as an inheritance from Steve Jobs.
The adoption of Apple Silicon, which has been presided over by Ternus and led by Johny Srouji.
Srouji will take on the hardware leadership role being vacated by Ternus and as part of this will combine the hardware technologies and hardware engineering teams, separated in 2012. “I am excited to bring these teams together and deepen their integration to help us innovate even more than we do today. There is no limit to what we can achieve together,” he wrote.
That optimism is well-founded. Apple’s processor designs will enable the company to push fast in its new phase of proliferation. With 1nm chips on the horizon, Apple’s processors are small, powerful, and energy efficient, making them suitable for a plethora of new hardware designs the world hasn’t even seen yet.
Making impossible things possible
Apple under Ternus will no doubt lean into that opportunity. This approach means that not only will you see Apple widen its addressable market with a combination of product quality at better prices, but you’ll also watch it expand its offer with new product families.
It’s no coincidence, for example, that Ternus at one point led Apple’s robotics team as the company prepares to introduce its first robotic products in the coming months. Apple’s hardware is supported by Apple’s software, of course.
While it will offer some of its own solutions within Apple Intelligence, Apple doesn’t even need to make the AI. It just needs to make the best hardware to run AI on, which is what Ternus is going to focus on.
You can already see it. With Ternus leading hardware, the Mac is more powerful and more popular today than at any point in its history — and the MacBook Neo is building on that success. It represents the thin end of a wider wedge of hardware-driven market share growth across all Apple’s products that will now accelerate under Ternus, even while the latter makes his own transition.
As board chairman, Cook will turn to handling the complex political and strategic relationships he’s been dealing with as CEO. Cook is very good at that, which also raises the question of whether he has wider ambitions for political engagement.
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Source:: Computer World
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Source:: Fossbytes
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Source:: Digital Trends
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