David Hanson examines the roadblocks that stand between today’s AI and true Artificial General Intelligence (AGI). From technical limitations to the complexity of human–machine collaboration, he explains why achieving AGI will require more than just smarter algorithms — it will demand deeper integration between human insight and machine capability.

Key Takeaways:
• Key scientific and engineering challenges to reaching AGI.
• Why collaboration between humans and AI is essential.
• The limits of current AI systems despite their “superhuman” skills.
• How hybrid human–AI systems could unlock new potential.