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AI Innovations, Regulations, and Community Engagement
The world of artificial intelligence (AI) and technology is evolving rapidly, with major investments, regulatory shifts, and community-driven initiatives shaping the landscape. Saudi Arabia has made a bold move with a $14.9 billion investment in AI and cloud computing, aiming to position itself as a leading tech hub. Meanwhile, discussions on the impact of Large Language Models (LLMs) on software development are intensifying, showing how AI is reshaping job roles at different proficiency levels. On the regulatory front, China's DeepSeek AI Act is driving new waves of innovation, pitching a competitive AI race. Beyond these developments, the InLeo team is fostering user engagement by inviting feedback on new platform features, and offering rewards in LEO, HIVE, and DASH. The featured content is worth your reading time.
Saudi Arabia Unveils $14.9 Billion AI and Cloud Investment
Saudi Arabia Kingdom has unveiled a $14.9 billion investment in artificial intelligence (AI) and cloud computing at the LEAP 2025 Tech Conference in Riyadh, with partnerships with global technology leaders to enhance the kingdom's AI and cloud infrastructure. This is part of Saudi Arabia's Vision 2030 strategy to diversify its economy and establish itself as a regional tech hub. Partnerships were formed with Google Cloud, Alibaba Cloud, Lenovo, Qualcomm, Groq, and Salesforce. Moreover, Saudi's Aramco has secured a $1.5 billion deal with Groq for AI-powered cloud capabilities. This is as Salesforce plans a $500 million investment, including Arabic-language AI support. These investments and partnerships aim to position Saudi Arabia as a regional central hub for AI to drive economic diversification and sustainable growth.
The impact of LLMs on software development
Sergey Tselovalnikov is presenting a theory explaining the impact of LLMs (Large Language Models) on software engineers at different proficiency levels. The core point of the author's theory is that LLM's impact on people's jobs will largely depend on their proficiency level. The theory is aimed at exploring how AI and LLMs are disrupting the software engineering field and how it will affect professionals at different levels. The theory analyzes the potential impacts of LLMs on junior engineers, mid-level engineers, senior engineers, and staff+ engineers in the software development field. The outcomes show that junior engineers are at the highest risk of being replaced by AI. It is recommended that mid-level engineers should focus on tasks AI can't do yet, like translating customer needs.
Deepseek AI Act: The Rise of AI Regulation
Baidu is preparing to launch its next-generation AI model in the latter half of 2025. This is motivated by DeepSeek's disruptive AI model launched last week. Baidu has been at the forefront of AI research and development in China. With these developments, China is rapidly advancing in the AI sector and aiming to become a global leader by 2030. China aims to compete in the global AI race, showcase technological advancements, attract investors, and establish dominance in the AI sector. Investors are optimistic about AI innovations in China. The future of AI will involve intensified competition and innovation.
Explore New Features on Inleo and LeoDex, Earn Rewards on Your Feedback!
The InLeo team is calling for users' feedback on the new features of INLEO and LEODEX UIs. Key features where feedback is required include: setting up a merch store with Leo Merchants, Paying for Premium with $LEO, $DASH, $SPS, etc, engaging the Splinterlands theme, Hive Aggregation swaps, tracking LeoDex transactions on Leo Wallet, and more. Feedback can be shared on InLeo as short-form "Threads" or longform "blogs" with the #feedback hashtag. The team is on the lookout for feedback while those entries could receive LEO, HIVE, DASH rewards.
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