How I See AI Evolving in 2026 (as an AI Engineer)

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⏱️ 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...
https://www.anthropic.com/engineering...

📌 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!