Anthropic weighs funding offers at over 0 billion valuation, tops OpenAI

Anthropic weighs funding offers at over $900 billion valuation, tops OpenAI



By Shirin Ghaffary, Natasha Mascarenhas and Ed Ludlow

 


Anthropic PBC has begun weighing a fresh funding round that would value the artificial intelligence developer at more than $900 billion, according to people familiar with the matter, potentially leapfrogging its longtime rival OpenAI as the world’s most valuable AI startup. 


The Claude maker is entertaining offers from investors that would more than double its current valuation, said the people, who spoke on condition of anonymity as the information is not public. The considerations are at a very early stage and the company has yet to accept any offers, the people said.

 
 


Anthropic had previously resisted several inbound proposals from investors for a new round at a valuation of $800 billion or more, Bloomberg News has reported.


 
The new discussions, which have not been reported, coincide with a push by Anthropic to ramp up fundraising amid the breakout success of its AI software. Anthropic, which Bloomberg has reported is considering an initial public offering as soon as October, has been on the hunt for more infrastructure to meet growing demand for its products.

 


Anthropic declined to comment.

 


Google recently committed to invest $10 billion in Anthropic at a $350 billion valuation, the same amount it was valued at in a funding round in February. The Alphabet Inc.-owned company plans to invest up to another $30 billion in Anthropic if the startup hits certain performance targets. 

 


Amazon.com Inc. is also investing $5 billion in Anthropic at a $350 billion valuation, with plans to inject $20 billion more over time. It’s unclear whether those two firms will be part of the upcoming funding round. 

 


Founded in 2021 by a group of former OpenAI employees, Anthropic has since emerged as a leader in the AI sector. Anthropic has developed a series of AI tools aimed at overhauling the way businesses handle tasks from coding to cybersecurity. 

 


In early April, the company unveiled a new model called Mythos that is purportedly able to detect and exploit vulnerabilities in a wide range of critical software. Anthropic deemed it to be too dangerous for wide release and has instead let a limited group of companies begin testing it on their own systems. However, the model has been accessed by a small group of unauthorized users, Bloomberg News has reported. 

 


As Anthropic has gained momentum, it’s put new pressure on OpenAI, which is also widely expected to go public as soon as this year. The ChatGPT maker has reportedly missed some of its own targets for revenue and user growth as it contends with competition from Anthropic and Google. 

 


OpenAI has taken steps to streamline its sprawling product portfolio to focus on AI agents and a new model. The company was most recently valued at $852 billion in a funding round completed in March.



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US probe into WhatsApp encryption claims ends abruptly: What it found

US probe into WhatsApp encryption claims ends abruptly: What it found



A US agency probing allegations that Meta can access encrypted WhatsApp messages closed abruptly, Bloomberg reported on Tuesday. 
The case was being examined by an agent with the Bureau of Industry and Security under the US Department of Commerce. The agent gathered documents and conducted interviews for 10 months, and reportedly concluded that Meta stores and can read encrypted WhatsApp messages. 
“There is no limit to the type of WhatsApp message that can be viewed by Meta,” the agent wrote in an internal mail shared with officials across agencies, according to Bloomberg. 
He further wrote, “The misconduct of Meta and its officers, including current and former high-level executives, involves civil and criminal violations that span several federal jurisdictions.” 
However, soon after his findings were circulated, the agency abruptly shut down the investigation. 
What is the controversy around WhatsApp encryption and privacy? 
Meta, which acquired WhatsApp in 2014, announced in 2016 that the popular messaging app would be protected by end-to-end encryption. Encryption means that when two WhatsApp users chat with each other, the messages and calls between them remain private, even for WhatsApp. A user’s messages are secured with a lock, and only the recipient and the user can access the “special key” to unlock and read the chat, WhatsApp claims. 
In 2026, a class action lawsuit was filed against Meta in San Francisco claiming that the messaging platform “wrongfully intercepted and shared private WhatsApp messages with third parties”. The lawsuit claimed that Meta workers could read messages essentially in real time simply by submitting an internal request. 
In his findings, the agent concluded that Meta “can and does view and store all the text messages, photographs, audio and video recordings in an unencrypted format”, reported Bloomberg. 
WhatsApp encryption row in India 
When WhatsApp updated its privacy policy in 2021, it came parallel to India’s IT Rules, which required messaging platforms to make messages “traceable”. Complying with it meant WhatsApp effectively breaking its end-to-end encryption. The platform sued the Centre over the IT rules, stating that the laws will “severely undermine” the privacy of its users. 
While the Digital Personal Data Protection Act was passed in August 2023, the case drags on. In 2024, WhatsApp told the Delhi High Court it would effectively shut down if it is forced to break encryption, forcing an exit of almost half a billion users. 
As of now, WhatsApp continues to operate in India without complying with the traceability mandate.



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Perplexity's Comet browser arrives on Apple iPad with multi-window feature

Perplexity's Comet browser arrives on Apple iPad with multi-window feature



Perplexity has released its AI browser, Comet, for iPads. The AI browser will now work natively with iPadOS, supporting features like multiple windows and split view. This will let users work with Comet alongside the apps that they already use. The application is now available for download from the Apple App Store for iPad.


What is Perplexity’s Comet AI browser


Perplexity positions Comet as a browser designed around agentic search, meaning it can handle layered, multi-step tasks without requiring detailed instructions from the user. Instead of depending solely on standard keyword-based searches, Comet taps into Perplexity’s AI-driven search system to pull together information from across the web and present it in a consolidated response.

 
 


In simple terms, agentic search systems are built to understand what the user is trying to do, collect relevant information from different sources, and then carry out connected actions on their own rather than responding to a single query at a time.


Perplexity’s Comet AI browser: Features


According to Perplexity, Comet shifts browsing from static page navigation to a more interactive, conversation-led experience. The browser brings tasks, information, and actions into a unified interface that can interpret intent, reducing the need to juggle multiple tabs or switch between different apps. It is designed to manage entire browsing workflows, helping users organise tasks, streamline processes, and cut down on interruptions such as ads.

 


The browser is aimed at use cases like product comparisons, in-depth research, and complex queries. It also includes a side-panel assistant that can summarise pages, answer follow-up questions, and perform actions like booking hotels, sending emails, or completing purchases online. Alongside this, an integrated assistant provides context-aware responses based on whatever content the user is currently viewing on the screen.

 


For the uninitiated, another AI-powered browser that performs similar tasks to the Comet AI browser is OpenAI’s ChatGPT Atlas browser. 


What is ChatGPT Atlas


ChatGPT Atlas debuted last year as OpenAI’s first dedicated browser, built with ChatGPT at its core rather than as an add-on feature. The browser can interpret the content of the page you are on and offer contextual assistance through an “Ask ChatGPT” sidebar, helping with things like summarising articles, breaking down complex text, or rewriting content directly within the page.

 


A key capability is its Agent mode, which allows ChatGPT to move beyond suggestions and actually perform actions. With user permission, it can navigate links, complete forms, compare information across tabs, and handle multi-step tasks such as compiling research or planning trips.

 


Atlas also introduces an optional memory layer within the browser. This allows ChatGPT to retain details from past browsing sessions, which users can review, modify, or delete at any time. Clearing browsing data will also remove any associated AI memory, giving users control over what is stored.



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YouTube tests AI search tool with guided answers, step-by-step results

YouTube tests AI search tool with guided answers, step-by-step results



YouTube is reportedly testing a new AI-powered search feature that changes how users find content on the platform. Instead of showing only a list of videos, the feature delivers step-by-step answers using a mix of text, short clips, and full videos. According to a report from TechCrunch, the tool also allows users to ask follow-up questions, making the search experience interactive and more like a conversation. The feature, called “Ask YouTube,” is said to be designed to help users find more structured information when searching for things like recipes, travel plans, or how-to guides.


Ask YouTube feature: What it does


As per TechCrunch, users can type a query and get a structured response, broken down into text, clips, and more. For example, when planning a road trip using the new feature, YouTube presents a combination of short clips, full videos, and written summaries. The results also highlight relevant parts of videos, along with titles and channel names, making it easier to find useful content quickly.

 
 


Users can also ask follow-up questions, and the system responds with updated suggestions in the same format. For example, after planning a trip, users can ask about food or stops along the way and get tailored results.

 

The report noted that the feature is currently being tested with YouTube Premium users in the US who are over 18. Users need to opt into the experiment to try it. As per TechCrunch, Google has said that it plans to expand access to more users, including those who are not on a Premium subscription, but at a later stage. 

 


What it could mean

 


If rolled out widely, the feature could change how people search on YouTube. Instead of scrolling through multiple videos, users may get quicker answers with context and visual support. It could also aid smaller creators by featuring their content in results or highlighting parts of their videos if these match the context of the query.

 


The report also added that Google may eventually explore new formats, including sponsored placements, as part of this AI-driven search experience.

 



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EU tells Google to open Android to wider range of AI services beyond Gemini

EU tells Google to open Android to wider range of AI services beyond Gemini



The European Union has spent the past few years pushing technology companies to open up different parts of their ecosystem, from charging ports and app stores to messaging platforms. Now, it is turning its attention to something newer, and arguably more central to how smartphones will work in the future: artificial intelligence.

 


In its latest move, the European Commission has told Google that Android needs to offer competing AI services the same level of access as its own Gemini assistant.


What the EU is actually asking for


The EU’s position is relatively straightforward. It believes Google is giving Gemini an advantage that goes beyond being pre-installed, and that this advantage is now shaping how AI works on Android devices.

 
 


Today, Gemini is deeply integrated into the operating system. It can interact with apps, access on-device context, and perform tasks that extend beyond a single interface. Third-party AI tools, even when installed, operate within far narrower limits.


The Commission’s proposal is to change that balance. Its preliminary findings outline a framework where competing AI services should be able to interact with apps, access device-level context, and execute tasks across the system in a similar way.


Why this matters


For most of the smartphone era, apps have been the primary way users interact with their devices. Operating systems controlled access, while apps competed within those boundaries. That model is beginning to shift. AI assistants are increasingly positioned as the layer that sits above apps, capable of moving across them to complete tasks.

 


With AI systems such as Google Gemini offering agentic capabilities, users can ask the assistant to act on their behalf, whether that involves sending a message, sharing content, or retrieving information. This removes the need to open each app individually to take an action.

 


This changes where control sits within the ecosystem. If one assistant has deeper access to system features and data, it becomes the default interface through which the device is experienced. The EU regulators argue that over time, this advantage can become structural.


Google’s argument


Google has pushed back against the proposal, calling it “unwarranted intervention” and warning that it could undermine how Android is designed to work.

 


The company’s position centres on the idea that device makers should retain control over how AI services are implemented. It has also raised concerns that opening system-level access could expose sensitive hardware and user data, increase costs, and create new security risks.

 


“This unwarranted intervention would strip away that autonomy, mandate access to sensitive hardware and device permissions; unnecessarily driving up costs while undermining critical privacy and security protections for European users,” said Google senior competition counsel Claire Kelly, according to a report by Ars Technica.

 

These concerns are not entirely new, but they take on added weight in the context of AI. Unlike apps or payment systems, AI assistants operate across multiple layers of the device. They rely on permissions, context, and continuous interaction with other services. Opening that layer will not only be a technical challenge but also expose sensitive user data to third-party apps and services. 


What happens next


At this stage, the EU’s proposal is not a ruling. The commission has opened the measures to public consultation, inviting feedback from industry participants, developers, and other stakeholders. Interested parties have until May 13 to submit their views on the proposed measures.

 


The Commission has said it will assess responses from both stakeholders and Google before deciding whether any adjustments are needed. It also said that a final decision must be adopted within six months from the opening of the start of the proceedings, and would outline binding measures that Google would be required to implement.


Part of a broader EU playbook


The current move is not a standalone intervention. It sits within a broader regulatory framework under the Digital Markets Act, which was first adopted in 2022 and came into full effect in 2024.

 


At its core, the DMA targets big tech companies designated as “gatekeepers” — platforms that act as critical intermediaries between businesses and users. When a platform controls access to distribution, data, or core functionality, it can shape outcomes across an entire ecosystem.

 


Most of the changes enforced under the DMA so far have focused on reducing that control at different layers of the stack.

 


On the software side, companies like Google and Apple have been required to allow alternative billing systems in app stores, introduce choice screens for search engines, and limit how data is shared across services. This goes beyond operating systems, as companies such as Meta have also been asked to enable interoperability between messaging services, including opening up WhatsApp to interact with other platforms.


On the hardware and device side, broader EU regulations, working alongside the DMA, have pushed for standardisation and user control. This includes mandating USB Type-C charging, improving repairability standards, and extending expectations around software updates and device longevity.

 


Taken together, these measures point to a consistent strategy. Rather than breaking up companies or imposing blanket restrictions, the EU is focusing on specific control points — charging ports, app stores, messaging networks, and now AI.


What changes if the EU gets its way


If implemented, the proposed measures could significantly alter how AI functions on Android devices. Third-party assistants would no longer be limited to their own apps, but could begin to operate across the system, interacting with other apps and responding to user context in real time.

 


This would bring them closer to the capabilities currently associated with Gemini, effectively reducing the gap between Google’s own assistant and competing services. It could also encourage a broader range of AI experiences, as developers gain the ability to build deeper integrations rather than standalone tools.

 


In the meantime, device makers are already moving toward more layered AI experiences. For example, Motorola has integrated Perplexity AI and Microsoft Copilot directly into its Moto AI ecosystem on new devices. Likewise, Samsung has been integrating its own Bixby assistant across the software level, while offering third-party services such as Perplexity pre-installed on its new flagship devices.

 


Even so, Gemini remains the assistant with the deepest level of system access. It is the one capable of interacting across apps, understanding device context, and delivering what is increasingly described as agentic functionality.

 


Other AI tools may coexist on these devices, but they operate within narrower boundaries. They can respond, but they cannot act in the same way.

 


If the EU’s approach begins to reshape how Android handles AI access, that distinction could start to change.


Will these changes also affect Indian users


For consumers, particularly in markets like India, the immediate impact of such changes may not be obvious. But over time, shifts driven by European regulation have a way of extending beyond the region.

 


This has already played out across multiple layers of the smartphone ecosystem. When the EU mandated a common charging standard, Apple moved to USB Type-C with the iPhone 15 series. While the requirement was specific to Europe, the change was implemented globally. Similarly, rules around repairability and battery access have pushed manufacturers to improve device design standards across markets, not just within the EU.

 


The reason is largely practical. Hardware changes are difficult to regionalise. Building separate versions of devices for different markets increases cost and complexity, which makes global alignment the easier route.

 


Software, however, tends to behave differently.

 


In cases involving app stores and digital ecosystems, regulatory changes have not always translated directly across regions, but they have influenced parallel action elsewhere. In India, the Competition Commission of India has already taken on both Google and Apple over similar concerns around platform control. The Google Play Store case resulted in penalties and mandated changes around billing and app distribution, while Apple’s App Store practices are currently under scrutiny over in-app payments and ecosystem restrictions.

 


These cases are not identical to what the EU is proposing around AI, but they reflect a similar line of thinking — that control at the platform level can shape how entire ecosystems function.

 


For now, there is no indication that India is looking to regulate AI on smartphones in the same way. But the pattern is familiar. Regulatory moves in one region often set the direction for conversations in others, especially when they involve companies operating at a global scale.



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AI, affordability reshape India's smartphone buying trends in 2026: Report

AI, affordability reshape India's smartphone buying trends in 2026: Report



India’s smartphone market is undergoing a structural shift, with consumers moving away from specification-led upgrades towards more experience-driven decisions, according to the Smartphone Insights Report 2026 released by Flipkart in collaboration with Counterpoint Research.

 

The report highlights that artificial intelligence (AI) is emerging as a central factor in purchase decisions, even as rising costs and changing usage patterns prompt users to rethink how often and why they upgrade devices.

 


The findings point to a maturing market, where buyers are balancing performance, AI capabilities, design and long-term value, rather than upgrading for incremental hardware improvements.

 


AI shifts from feature to purchase driver


According to the report, nearly 89 per cent of users say AI features influence their purchase decisions, marking a shift from AI as a differentiator to a core expectation.

 


AI is now integrated into everyday smartphone usage, including voice assistance, search, content creation and personalisation. The report also highlights a move towards more advanced AI experiences such as AI agents, hyper-personalisation and multimodal interactions across text, voice, image and video.


Usage patterns differ across users


AI usage varies across demographics. Gen Z users are primarily using AI for content creation and entertainment, while millennials are using it for productivity and planning.

 


Women users are increasingly relying on AI for everyday assistance and lifestyle-related tasks. The report suggests adoption is becoming use-case driven rather than uniform.


Smartphones become more proactive tools


As AI capabilities expand, smartphones are evolving into more proactive tools. The report points to a shift towards conversational interfaces and contextual assistance, where devices are expected to understand user intent and help complete tasks.

 


Advances in on-device AI are supporting this transition by enabling faster and more context-aware interactions without relying entirely on cloud processing.


Mid-range segment becomes key battleground


While AI features were initially limited to premium smartphones, their influence is expanding into the mid-range segment, particularly in the Rs 15,000–20,000 price band.

 


AI is increasingly becoming a baseline expectation in this category, intensifying competition among brands alongside performance and camera capabilities.


Design gains prominence


Beyond AI, design is becoming more important in purchase decisions. The report states that 64 per cent of consumers prefer colourful devices, with users willing to pay an additional 5 per cent for preferred colours and materials.

 


This trend is more pronounced among women, Gen Z users and consumers in Tier-2 markets, reflecting a growing emphasis on personal expression.


Shift from specifications to experience


The report highlights a broader move from specification-based comparisons to experience-led decisions. Consumers are prioritising real-world performance over individual hardware specifications.

 


Features such as performance, camera capabilities and battery life are increasingly viewed as baseline expectations rather than differentiators.


Value remains central


Despite rising expectations, affordability remains a key factor. About 60 per cent of users prioritise value for money, followed by brand trust at 57 per cent and online reviews at 56 per cent.

 


While consumers are willing to spend more, decisions remain grounded in perceived value.


Selective spending and longer upgrade cycles


Users are increasingly selective about spending. Around 45 per cent are willing to pay more for better performance, while 57 per cent prioritise camera improvements.

 


Replacement cycles are also lengthening, extending from around 3.5 years to nearly four years, indicating more deliberate upgrade behaviour.

 


At the same time, 33 per cent of users are opting for EMI schemes to access higher-end devices.


Rising costs add pressure


The report highlights rising memory prices as a key factor influencing smartphone pricing. Higher component costs are limiting pricing flexibility and affecting upgrade decisions.

 


This is also driving interest in refurbished and value-focused alternatives.


AI agents and on-device AI next


Looking ahead, the report identifies AI agents and advanced on-device AI as the next phase of smartphone evolution.

 


These developments are expected to move AI beyond individual features towards systems capable of handling tasks and workflows, while enabling faster and more personalised experiences.


Market moves towards maturity


Overall, the report suggests India’s smartphone market is entering a more mature phase. Consumers are making more informed, value-driven decisions, with less emphasis on frequent upgrades and greater focus on long-term usability.

 


While AI is emerging as a key driver, performance, design, affordability and reliability continue to shape purchase decisions, reflecting a shift towards more considered adoption.



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