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AI NewsApple plans to make iOS 27 a Choose Your Own Adventure of AI models

Apple plans to make iOS 27 a Choose Your Own Adventure of AI models

2:28 AM IST · May 6, 2026

Apple plans to make iOS 27 a Choose Your Own Adventure of AI models

When iOS 27 is released later this year, iPhone users will reportedly have a lot of choice when it comes to which AI models they want to use on-device. Anew reportfrom Bloomberg says that Apple plans to give users their pick of a number of third-party large language models that will be capable of powering various functions within the iPhone’s operating system. The new feature, dubbed “Extensions” internally, will allow users to “access generative AI capabilities from installed apps on demand, through Apple Intelligence features such as Siri, Writing Tools, Image Playground and more,” reads a message reportedly shown in test versions of the software. The new capability will also be available for iPadOS 27 and macOS 27, the outlet writes, adding that models from Google and Anthropic are being tested now. Less clear is where ChatGPT stands. Since it is currently the model available to users, one implication is that it will remain a choice. TechCrunch reached out to Apple for more information. With long serving CEOTim Cook soon stepping down, Apple’s incoming top executive, John Ternus, is tasked with charting the future of the company — including its AI strategy. The company iswidely perceivedto be “behind” on AI, as it is not launching as many new AI services as some of its peers. However, Apple is still bringing in a generous amount of AI-based revenue and its plan is less about spending money building out AI infrastructure and services than it is about turning its already existing hardware into an AI-centric experience for users.

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Mistral raises €3B as sovereign AI becomes big business

Mistral raises €3B as sovereign AI becomes big business

French AI lab Mistral AI on Tuesdaysaidit has raised €3 billion (about $3.58 billion) at a post-money valuation of more than €21 billion (about $24.39 billion), confirmingearlier rumors. This Series D round, which Mistral said is “the largest equity fundraising round ever completed by a European technology company,” was led by Samsung Electronics, withEQT-managed Scaleup Europe Fundand existing investor PSG Equity joining as co-leads. Mistral said it will use the funding to scale its compute capacity, build infrastructure, accelerate commercial growth and expand its international footprint. The money could also help clarify its positioning — the company says its goal is not to build a European ChatGPT, and though its models haven’t gone mainstream, it still envisions itself as an AI lab. The funding will help Mistral pursuea subtle shift in strategythat aims to further address concerns in Europe and elsewhere about being too dependent on the United States for tech, especially with theintensifying politics around AI regulation and products Stateside. In addition to a push to build1 GW of compute capacity in Europe by 2030, Mistral in August unveiled tools that let its customers choose which regions their AI queries are processed in. It’s also started hosting third-party, open-weight AI models (Chinese ones, too) to bolster its positioning as an AI services provider that wants its customers to control what AI models they use and how they use them. The company on Tuesday pegged its frontier research as “the foundation underpinning its infrastructure, products and sovereignty,” which may be an indirect response to naysayers whointerpretedthe company’s decision to host Chinese models as a sign that it was turning into an inference provider. Mistral’s mention of its global ambitions also likely is an effort to dispel a common misunderstanding that the company’s remit is contained within France. The lab now operates in 20 countries, and its go-to-market strategy is more focused on helping governments and corporations leverage AI and preserve a sense of control, unlike other frontier labs like OpenAI and Anthropic which sell their AI models more broadly. This strategy has built high hopes for Mistral as a French tech champion, as Samsung’s entry into Mistral’s cap table has the blessing of France’s authorities. In apost on X, French president Macron said the round reflected France and South Korea’s goal of “building a third way in AI.” The fact that Mistral’s funding round warranted such a statement is a reminder of the geopolitical undertones that have surrounded the AI company, mostly to its benefit. Amid growing demand for sovereign AI infrastructure, not being an American company has reportedlyboosted Mistral’s revenue. On the other hand, the capital required to compete with the leading U.S. labs isn’t available in France alone. But with Dutch chipmaker ASML as amajor partner and investor, and now Samsung, Mistral seems to have found a third way — similar toGermany’s Aleph Alpha’s merger with Canada’s Cohere. Mistral still works with U.S. players, particularly Microsoft, through a strategic partnership the two companiessignificantly expanded in July. The new Series D was also backed by American investors: existing backers such as a16z, Nvidia and Salesforce Ventures invested, as did new backers Advent and BlackRock. Still, with the Grand Duchy of Luxembourg also joining as a new backer and many other existing European backers doubling down, the AI lab’s cap table remains resolutely international. And that might be enough for the customers Mistral is targeting.

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Google Cloud races to catch up in the AI deployment wars with Accenture deal

Google Cloud races to catch up in the AI deployment wars with Accenture deal

Google Cloud and Accenture are working together on ajoint unitdedicated to sending engineers into enterprises to help them better adopt Google’s AI tools and services. The new unit, dubbed Accenture Gemini Enterprise Business Group, is Google’s latest foray into theincreasingly competitive worldof “forward-deployed engineers,” or FDEs. Rivals in the AI race, includingOpenAI,Anthropic,MicrosoftandAmazon, have all recently launched separate business units in a bet that implementing AI models can become its own trillion-dollar business. It’s the kind of bet AI companies and hyperscalers increasingly need to make. Hyperscalers are committing hundreds of billions of dollars a year to GPUs, data centers, and power capacity even as the revenue directly attributable to AI remains a fraction of that investment. Google Cloud generated $24.8 billion in the second quarter, a big chunk of which was driven by enterprise AI. But the commitments behind that growth are enormous. Google Cloud’s parent companyAlphabet reportedly accumulated$811 billion in purchase commitments and contractual obligations as of June 30. This return on investment is not yet materializing in the way companies and investors need it to, so everything hinges on whether or not AI companies can create enough demand for their services. But that demand is not guaranteed, as enterprises themselves are struggling to see a true return on investment on their AI spending. It’s conventionally held that enterprises have simply lacked the expertise to intelligently integrate AI tools and services into their workflows in a way that not only saves them money, but helps them make more of it in the long run. That’s where the FDEs come in as a steady, guiding hand that, ideally, possesses the perfect mental cocktail of business acumen and agentic AI prowess needed to change everything. As part of its deal with Accenture, Google will train up to 1,000 of the consultancy firm’s FDEs to work with enterprises and build custom AI applications on the Gemini Enterprise platform. According toAugust data from Ramp, Google accounts for roughly 6% of enterprise AI spending among U.S. businesses, compared to Anthropic’s 43.5% and OpenAI’s 39.7%. Google’s new unit with Accenture, whichThe Wall Street Journalfirst reported, is the latest of its aggressive expansions of its FDE model this year as it attempts to resolve enterprise deployment bottlenecks and catch up to rivals. Earlier this year, Google Cloud launched a$750 million partner ecosystemcommitment that embedded Google’s own FDEs across multiple consultancies, including Capgemini, Cognizant and Deloitte. The tech giant also struck amulti-year partnership with CVCCapital Partners to deploy FDEs directly into the investment firm’s portfolio companies. Google isn’t the only giant at risk of being outpaced by newer firms. Companies that are dedicated specifically to embedding engineers into businesses to build bespoke AI workflows — like Ode with Anthropic, or OpenAI’s The Deployment Co. — threaten big consultancy firms like Accenture as well. For the professional services giant, the Google tie-up adds to its own wave of FDE programs this year, which include a similarMicrosoft FDE practice in March, anFDE initiative with ServiceNowin May, and ajoint program with SAPin June.

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Agnikul Cosmos Opens Facilities to Test Reusable Rocket Stages Under Flight-Like Conditions

Agnikul Cosmos Opens Facilities to Test Reusable Rocket Stages Under Flight-Like Conditions

The new infrastructure will support post-flight inspection, requalification and faster production of critical launch vehicle components.

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‘We Made People Zombies,’ Raj Vattikuti Warns Students Using AI

‘We Made People Zombies,’ Raj Vattikuti Warns Students Using AI

Instead of making students spend years learning increasingly fragmented technologies, he wants them to enter the real world earlier, understand businesses and work on actual problems.

2 hours ago

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