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AI Browsers Like ChatGPT Atlas and Perplexity Comet Reportedly Able to Circumvent Paywalls

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ChatGPT Atlas, Perplexity’s Comet, and several other AI-powered browsers are reportedly able to bypass paywalls and content blockers, raising concerns about the impact on digital publishing. According to a recent report, both Atlas and Comet were able to access and generate content from multiple paywalled articles when prompted to display the information, potentially undermining the subscription-based revenue model of news outlets and premium blogs. If these claims hold true, such capabilities could significantly affect publishers who rely on paid content for income.

The Columbia Journalism Review highlighted that Atlas and Comet were particularly effective at retrieving content hidden behind paywalls, while other AI browsers, including Edge’s Copilot mode and The Browser Company’s Dia, did not demonstrate the same level of success. Both Atlas and Comet are widely available to users, with Comet offering advanced “agentic actions,” which allow the AI to perform complex tasks autonomously, including interacting with websites to retrieve information.

However, follow-up tests indicate that results may vary. When attempting to replicate the experiment with Comet, the browser reportedly refused to provide content behind the same paywalls. This discrepancy suggests that AI providers might have implemented changes to their underlying models or that the results could depend on specific prompt techniques used in the original tests.

The situation underscores ongoing ethical and legal questions regarding AI and content access. Publishers may need to explore new ways to protect their premium material, while developers of AI browsers face scrutiny over whether their tools are enabling unauthorized access. The debate is likely to intensify as AI becomes increasingly capable of interacting with subscription-based and restricted content online.

Microsoft AI Chief Mustafa Suleyman Labels Concept of Conscious AI as ‘Absurd’

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Microsoft’s AI chief, Mustafa Suleyman, has dismissed the notion that artificial intelligence could ever be conscious, calling the idea “absurd.” According to reports, Suleyman believes that AI, no matter how advanced, cannot experience emotions or sensations like humans, making any attempts to create conscious AI inherently misguided. His remarks come at a time when tech companies are increasingly promoting AI companions, raising concerns about users developing unhealthy attachments to chatbots. Devamını Oku

Google Confirms Release Timeline for Gemini 3 AI Model, Promises Enhanced Reasoning Abilities

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Google has confirmed that its Gemini 3 AI model will be released later this year, as announced by CEO Sundar Pichai during the Q3 2025 earnings call. The announcement came alongside the company celebrating a record-breaking $102.3 billion (roughly Rs. 9.06 lakh crore) quarterly revenue, marking Google’s first $100 billion quarter. Gemini 3 is slated to arrive roughly seven months after the Gemini 2.5 Pro model, which was rolled out globally to all users in July.

Gemini 3 Release and Development

The confirmation of Gemini 3 ends months of speculation across social media and AI forums. Rumors had circulated that the model could launch as early as October 22, but Google has now clarified the actual release timeline. Observers also noted the appearance of two unnamed models—lithiumflow and orionmist—on crowd-sourced AI ranking platforms like LMArena, which may indicate Google’s internal testing of Gemini 3 in stealth mode.

Expected Features and Capabilities

Early leaks and discussions suggest that Gemini 3 will bring significant improvements in reasoning and coding capabilities compared to its predecessor. Analysts and social media users have speculated that the model might use a trillion-parameter mixture-of-experts (MoE) architecture, capable of processing 15–20 billion tokens per query. Additional features rumored include real-time 60fps video processing, an in-built Deep Think reasoning module, and ultra-fast response times under one second in its Flash variant.

Implications for AI Adoption

Gemini 3 is expected to further cement Google’s position in the rapidly expanding AI landscape. By enhancing both reasoning and multimedia processing capabilities, the model could have far-reaching applications across search, productivity tools, and generative AI services. With the official timeline now confirmed, industry watchers are anticipating a surge of interest from developers and enterprises eager to integrate Google’s latest AI innovations into their workflows.