How I See AI Evolving in 2026 (as an AI Engineer)
Want to start freelancing? Let me help: https://go.datalumina.com/ij9VZvc Want to learn real AI Engineering? Go here: https://go.datalumina.com/xt1eW1b 🎙️ Voice app waitlist: https://go.datalumina.com/yz9WIQa 💼 Need help with a project? Work with me: https://go.datalumina.com/TMGbUvO ⏱️ Timestamps 00:00 The State of AI in 2026 06:02 Google’s Rising Influence 09:14 Workflows vs. Agents 13:49 The Future of Agentic Coding 17:02 Mastering Context Engineering 18:00 The Future of Voice Interfaces 20:24 Embracing the Early Days of AI 🔗 Links mentioned in the video https://arxiv.org/abs/2512.10942 https://arxiv.org/abs/2512.24601 https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents https://www.anthropic.com/engineering/claude-code-best-practices 📌 Description In this video, Dave Ebbelaar, discusses the future of artificial intelligence as we approach 2026. He addresses the limitations of large language models (LLMs) and the potential for artificial general intelligence (AGI). He highlights emerging paradigms, such as VL-JEPA, recursive language models, and the significance of practical applications in AI. He reviews the advancements made by major players like Google, focusing on their technologies and AI interoperability. The video also contrasts workflows with agent-based systems and explores the rise of agentic coding and context engineering. Dave predicts a shift towards voice technology as a primary interaction interface and concludes with an optimistic view of the AI landscape for developers and professionals. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
