OpenAI is broadening the availability of ChatGPT by offering Free and Go users unlimited text conversations with GPT-5.6 Luna. During the current rollout, GPT-5.6 Luna also becomes the default model for those accounts. Additionally, free users will gain a Think button that enables the system to allocate more time to tackle complex questions before providing responses. This new access pertains solely to text chats and does not eliminate all usage restrictions across ChatGPT. OpenAI clarified that limits will still apply to file uploads, image generation, and other tools requiring extra processing. The Think feature will be introduced alongside unlimited text messaging next week, giving GPT-5.6 Luna increased reasoning capacity for tasks demanding deeper analysis.

he agenda emphasizes policies that broaden access to AI tools while fostering more inclusive international trade.Geneva talks will examine how AI can lower trade costs and widen digital market access.Opening remarks will be delivered by Director-General Ngozi Okonjo-Iweala. A ministerial dialogue will delve into why artificial intelligence has become a significant issue in trade policy. Additionally, the program will feature a keynote speech and a panel discussion with private-sector representatives. Topics will include digital services, intellectual property, technical standards, and the role of developing economies within AI-related value chains. These sessions aim to connect technology policy with the practical needs of cross-border business activities.

Deepfakes and AI-generated media now face wider transparency duties under EU law. When AI systems interact directly with individuals, they must clearly indicate that users are engaging with artificial intelligence. This obligation does not apply if the system’s nature is obvious to a knowledgeable and attentive person. Additionally, providers of generative AI are required to embed machine-readable markers in synthetic text, audio, images, and videos. These markers are intended to assist detection tools in recognizing generated or manipulated content. The requirement is applicable only when the technology permits reliable marking without significantly impairing the output or altering its typical operation. The legislation mandates distinct disclosure duties for organizations that publish or present synthetic material. They must identify deepfake images, recordings, and videos that could be mistaken for authentic content. Furthermore, AI-generated text that informs the public on matters of public interest must be labeled. However, this requirement does not apply once the content has undergone meaningful human review and editorial oversight. The publisher or organization must also accept responsibility for the material. Notices are required to stay clear, accessible, and visible during the initial interaction or exposure. Deepfake Content Faces Explicit Disclosure Rules Article 50 further addresses emotion recognition and biometric categorization tools used on individuals. Operators are obliged to inform individuals when such systems analyze them, except where limited legal exceptions apply. Works of a creative, artistic, satirical, or fictional nature are subject to less stringent disclosure requirements. Notices for these types of content must not interfere with their typical display or enjoyment. Nonetheless

Exterior twilight view of a flagship Apple Store retail facade. (Credit – Apple) This valuation change underscores broader rebalancing in international financial markets, driven by institutional managers re-assessing their investment commitments related to artificial intelligence infrastructure. While hyperscale technology companies like Alphabet and Tesla accelerated investments in data centers, robotics, and autonomous vehicles, Apple kept a tight rein on expenditures over several fiscal quarters. Investors increasingly see Apple’s disciplined spending as a strategic advantage, enabling the company to grow its proprietary Apple Intelligence software ecosystem without the high costs associated with infrastructure depreciation. Market behavior across major indices highlighted differing investor confidence between hardware component makers and consumer technology firms. Nvidia’s shares faced increased selling pressure along with broader declines in semiconductor stocks, as investors questioned the timeline for returns on large-scale artificial intelligence data center investments. The Philadelphia Semiconductor Index experienced notable weekly drops, reflecting concerns over high valuation multiples for pure-play chip manufacturers. Despite ongoing demand for graphics processing units, worries about energy supply issues, macroeconomic interest rate trends, and capital expenditure levels contributed to the downward pressure on semiconductor equities. Shift Toward Low-Capex Tech Stocks Boosts Apple In contrast, Apple attracted sustained investor interest due to its high-margin software services and the integrated ecosystem of consumer devices. Institutional investors’ positioning indicated bullish sentiment ahead of the company’s upcoming quarterly earnings report, with stock prices reaching record intraday highs near $339.57 per share. Analysts noted that the capital shift favored companies with stable cash flows