Donald Trump is reportedly “furious” with Elon Musk, as highlighted by a recent segment on Fox News. The tension arises from Musk’s decisions and actions, particularly concerning Twitter and its impact on political discourse. Trump, who has maintained a complex relationship with social media platforms since his ban from Twitter, feels that Musk’s management may be undermining his political agenda. The coverage suggests that the former president is unhappy with how Musk’s changes could affect his influence and reach within the platform. This conflict underscores the ongoing dynamics between prominent figures in technology and politics, as Musk continues to shape online communication while Trump attempts to navigate his post-presidential public persona. The situation reflects broader issues of power, control, and the role of social media in modern political landscapes.

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An innovative AI-driven rental service aims to revolutionize fashion for up-and-coming designers by becoming a central hub for shopping. The platform connects consumers with unique, trendy pieces created by talented designers, offering an alternative to traditional retail. By leveraging AI technology, the service ensures personalized recommendations, enhancing the shopping experience and reducing waste through rental options. This approach not only supports emerging fashion talent but also promotes sustainability in the industry. The company envisions a future where shoppers can easily access a diverse range of styles on a single platform, fostering a community that values creativity and environmental consciousness. In doing so, it hopes to reshape consumer habits and streamline the rental process while establishing itself as a significant player in the fashion marketplace.

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Google is testing a new generative AI weather summary feature to enhance user experience in their search results. This summary will be placed between hourly and 10-day forecasts and includes detailed insights, a dropdown for expanded information, and links to relevant articles about the specific weather conditions in a searched location. Currently limited to Southern California cities like Los Angeles, San Francisco, and San Diego, this feature is still in the testing phase and accessible only to signed-in users. It is distinct from the AI Weather reports available on Pixel 9 devices. Additionally, the Pixel Weather app has introduced a pollen tracker for U.S. users, following its earlier launch in Europe. This tracker offers a five-day view of pollen data, including seasonality and cross-reaction information. Overall, these advancements reflect Google’s commitment to enhancing weather-related services and user accessibility.

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As Web3 develops, integrating AI becomes essential, yet not all AI is suitable. Traditional large language models (LLMs) present significant risks for decentralized systems; they can generate false information, are prone to prompt injection attacks, and often operate as black boxes, making them opaque and untrustworthy. In contrast, NeuroSymbolic AI—a hybrid of neural networks and symbolic reasoning—offers a more secure and explainable alternative. This approach incorporates logic-based rules and structured knowledge, enabling auditable decision-making and enhanced security in decentralized finance (DeFi), governance, and blockchain applications. NeuroSymbolic systems can withstand unexpected situations by adhering to stable rules, ensuring reliable outputs. Moreover, they align with user ethical and business goals, making them more trustworthy. As AI becomes integral to areas like DeFi and Web3 gaming, trust and clarity will be crucial for adoption. By prioritizing security and transparency, NeuroSymbolic AI lays the groundwork for a safer, more accountable Intelligent Web3.

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The House Committee on Oversight and Government Reform recently held a hearing on the federal government’s integration of artificial intelligence (AI). Expert witnesses emphasized the necessity for the U.S. to adopt AI responsibly to improve efficiency, reduce costs, and enhance public services. Members highlighted concerns over the Biden Administration’s regulatory approach, suggesting it hampers innovation. Witnesses discussed AI’s transformative potential in various sectors, including healthcare, defense, and fraud prevention, asserting that the government could save taxpayers billions through effective AI deployment. The hearing also addressed challenges like outdated IT systems, with lawmakers advocating for collaboration with the private sector to modernize technology. As competition with global powers, particularly China, intensifies, there was a consensus on the need for the U.S. to maintain its leadership in AI while ensuring the protection of American privacy and infrastructure. Legislative efforts will continue to remove barriers hindering AI adoption within the federal government.

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As small businesses increasingly utilize AI tools to enhance operations, cybercriminals are exploiting this trend through ransomware campaigns. A report by Cisco Talos reveals attackers impersonating legitimate AI software providers, embedding malware in counterfeit applications resembling popular services. With 98% of small businesses using AI-powered products, and 40% engaging with generative AI, these threats particularly endanger sole proprietors and boutique firms. Malicious sites and apps, such as a fake “Nova Leads AI,” have been used to distribute CyberLock ransomware, demanding hefty ransoms. Additionally, other campaigns have deployed fake software posing as tools like InVideo AI, complicating the threat landscape. It’s imperative that small businesses enhance their cybersecurity measures by patching software vulnerabilities, strengthening remote access tools, and employing endpoint protection. Regularly backing up data offline and thoroughly erasing malware traces post-attack are crucial for maintaining resilience against the rising threat of ransomware linked to AI innovation.

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