{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1c7dc66ecbcb4647bdff1b3c66d6c522\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1c7dc66ecbcb4647bdff1b3c66d6c522-0a7f670035e0b8db.gif","duration":1823.37,"title":"AI Explained, Risks, and Market Impacts","description":"This Loom explains how artificial intelligence works and what the speaker believes may be coming next. The author describes AI’s development from early work in the 1950s to modern systems trained on large data sets that predict the next character, and contrasts general-purpose models like ChatGPT with specialized “focus models” such as those used for game play and potential medical image review. They discuss compute needs from massive data centers, mention model market share changes as of June 23, 2024 (ChatGPT down from over 50 percent to 46.6 percent, Anthropic around 10, and Google’s Gemini around 22), and reference versions and company names including OpenAI, Anthropic, Google, Microsoft Copilot, and Anthropic models like Mythos and Fable 5. The speaker raises concerns about recursive self-improvement, deepfakes, and unregulated access to the internet, and speculates that robots could become more common by early 2027."}