Author: AINF

This week's developments revealed a crucial debate shaping AI's future direction. Meta CEO Mark Zuckerberg's "Personal Superintelligence" vision stands in stark contrast to the industry's prevailing automation focus. He advocates for deeply personal AI that helps individuals "achieve your goals, create what you want to see in the world, experience any adventure," rather than simply replacing human work with AI systems. This perspective offers a new lens for thinking about the industry's development. Meanwhile, the week also brought significant technological breakthroughs. Geoffrey Hinton called for international AI safety collaboration at WAIC 2025, Coze open-sourced its AI agent platform, and ChatGPT launched a new learning-focused mode. Powerful models from Alibaba's Qwen3 to China's GLM-4.5 achieved new benchmark records, while Google's AlphaEarth revolutionized global mapping. These technological advances will shape how AI integrates into our lives and work.

This week's top story features Geoffrey Hinton's compelling lecture comparing digital and biological intelligence. A fundamental difference between digital and biological intelligence lies in the relationship between knowledge and its physical substrate. Biological intelligence knowledge is "mortal," disappearing with the death of the organism, while digital intelligence knowledge is "immortal," capable of perfect replication and sharing. As Hinton puts it: "digital intelligence might actually be a much better form of intelligence than biological intelligence." This insight perfectly aligns with our vision of empowering organisations to become truly Digitally Native. Meanwhile, this week's breakthroughs seemed to validate Hinton's thesis in real-time. Google's Gemini achieved gold-medal performance at the Mathematical Olympiad, while Alibaba's Qwen3-Coder and Moonshot's Kimi K2 topped global rankings. From OpenAI's 5GW Stargate expansion to real-time AI avatars, we're witnessing the infrastructure defining our AI Native future—even as Anthropic's "subliminal learning" discovery reveals unexpected capabilities we're only beginning to understand.