Meta has launched new AI video editing tools featuring 50 preset options for clips up to 10 seconds long, designed based on creator feedback. These presets allow users to apply various effects, like a “vintage comic book style” or changing a subject’s outfit. Available through the Meta AI and Edits apps, these tools aim to streamline content creation for both casual and experienced users, encouraging creative expression without the need for professional editing skills. Meta plans to expand customization options later this year. This initiative is part of a broader trend where tech companies are integrating generative AI features into their platforms, responding to the rising popularity of short-form video. By enhancing user capabilities and offering a seamless content creation experience, Meta aims to maintain its competitive edge against rivals like Google and AI editing apps, positioning itself as a comprehensive hub for digital content creation.

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A recent survey reveals that 60% of employers believe soft skills will be more crucial by 2025 compared to five years prior, and 66% find that a holistic evaluation of candidates—including skills, personality, and values—enhances hiring success. Employers emphasizing skills-based hiring are significantly more likely to recruit for AI skills (39% vs. 30%) and to upskill for AI (34% vs. 19%). Additionally, 70% employ AI in their hiring processes. Experts suggest that the modern hiring landscape is being shaped by GenAI talent acquisition tools, with various software options available for recruiting and applicant tracking. Employers are increasingly investing in assessing candidates’ critical thinking, adaptability, and collaboration abilities, focusing not just on technical skills but also on cultural fit. These strategies aim to blend objective data with a comprehensive understanding of a candidate’s values and behaviors for better hiring outcomes.

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At London Tech Week, Darktrace and UK officials highlighted the pitfalls of companies relying too heavily on AI tools while neglecting fundamental cybersecurity practices. Despite the buzz around AI, many organizations fail to implement critical measures like user access control and system segmentation. Cybercriminals are increasingly leveraging AI for automated phishing and faster intrusions. The outdated infrastructure and short-term focus of many firms leave them at risk. Boards often struggle to evaluate AI tools effectively, prioritizing trends over actual threats. Experts cautioned that AI is not a cure-all; it must complement human expertise and robust security measures. There is a need for domain-specific AI models that prioritize transparency and interpretability to mitigate risks associated with overconfidence and misapplication in high-stakes scenarios.

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Sen. Cynthia Lummis, R-Wyo., is introducing the Responsible Innovation and Safe Expertise Act, which aims to protect artificial intelligence developers from civil liability lawsuits under specific disclosure conditions. The bill clarifies that professionals using AI, such as doctors and lawyers, retain legal liability for errors if AI developers disclose how their systems function. Lummis emphasizes that this legislation does not grant blanket immunity to AI developers but ensures transparency, enabling informed decision-making by professionals. The bill, highlighted as the first federal legislation on AI liability within professional contexts, excludes self-driving vehicles and does not protect developers engaging in reckless behavior. With AI increasingly influencing critical sectors like medicine and finance, current liability rules are seen as hindering innovation. Additionally, there are ongoing tensions in Congress regarding state-level regulations on AI, with some officials advocating for uniform federal standards to maintain competitive advantage against countries like China.

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In a recent discussion, OpenAI’s CEO Sam Altman suggested that humanity might have already crossed the threshold where artificial intelligence (AI) exceeds human intelligence. He emphasized the rapid advancements in AI technology, which have progressed more swiftly than many anticipated. Altman acknowledged the potential risks that accompany this growth, including ethical concerns and the need for responsible governance. He highlighted the importance of society’s preparedness to handle the implications of superintelligent AI, urging collaboration among tech leaders, policymakers, and researchers to ensure safe and beneficial outcomes. Altman’s insights reflect a growing urgency around understanding and managing AI’s capabilities, stressing that proactive measures are essential to navigate this uncharted territory effectively. As AI continues to evolve, the conversation around its societal impact remains crucial, highlighting a need for ongoing discourse and regulation.

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Nigerian fashion-tech startup Vazzel, founded in 2024 by Mayowa Akande and Bolaji Wahab, aims to digitize Africa’s fashion economy using AI and inclusive commerce tools. It offers an AI-powered marketplace for vendors to launch virtual storefronts selling a variety of fashion items. Vazzel’s unique AI sizing feature generates accurate measurements from photos, addressing common sizing errors in online shopping. The platform focuses on local vendors and has successfully attracted over 500 sign-ups through effective digital marketing. Having developed a functional MVP and completed a beta test in March, Vazzel plans to launch fully next month while seeking funding and strategic partnerships for growth. Initially focused on Nigeria, the startup aims to expand into other African countries and diaspora communities in the UK, Europe, and the US. Vazzel employs a multi-stream revenue model, including commission-based sales and premium subscriptions, with revenue generation set to commence at the official launch.

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