Maybe robots will not replace us. At least not as quickly as the headlines suggest. Watch enough real-world footage, and you see it: Robots slipping.
Missing objects.
Failing in simple, unpredictable situations. Not because the technology is bad. But because the real world
AI
-
Robots Won’t Replace Us Quickly: Real World Limitations
By
–
-
Memorization as Tool to Accelerate Cognition Not Replace It
By
–
The role of memorization and knowledge is to cache & reuse past cognitive work. It should be leveraged as a way to speed up cognition, not as a *replacement* for cognition.
-
Memorizing Reasoning Traces Cannot Replace Creative Innovation
By
–
Simply retrieving a reasoning trace looks a lot like human reasoning, until it's time to navigate uncharted territory. If you memorized all reasoning traces of humans from 10,000 BC, you could automate their lives but you could not invent modern civilization.
-
Surgeon in Rome performs remote robotic surgery in Beijing
By
–
Surgeon in Rome performs remote #Robotic surgery on patient 8,000 km away in Beijing
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @InterestingSTEM
#Healthcare #Healthech #Tech #Technology #EmergingTech #TechForGood pic.twitter.com/tcBwp1CFnMSurgeon in Rome performs remote #Robotic surgery on patient 8,000 km away in Beijing by @InterestingSTEM #Healthcare #Healthech #Tech #Technology #EmergingTech #TechForGood
→ View original post on X — @ronald_vanloon, 2026-04-14 06:23 UTC
-
Centenarians as Norm: Societal Implications of Cognitive Enhancement
By
–
Centenarians who are sharp and still running things is already happening without any of the upgrades. The interesting question is what happens when that becomes the norm rather than the exception.
-
Claude Code: From Autocomplete to Contextual Intelligence
By
–
Most people use Claude Code as a smarter autocomplete. This turns it into something that actually understands the shape of your work.
-
Growing Fast While Maintaining Quality Requires Discipline
By
–
Growing fast and shipping clean are not mutually exclusive but they require discipline most teams only find after losing customers they didn't expect to lose.
-
Multi-stage verification gates ensure AI output quality
By
–
The staged approach works because each stage is a quality gate. You're not trusting the output, you're verifying it at multiple checkpoints before it goes anywhere.
-
Hermes AI Model and Mac Mini Hardware Availability Discussion
By
–
Meanwhile I am playing with Hermes on my Mac Mini. Why you still pushing OpenClaw? 🙂 But Apple is sold out for five months. So for many a VPS will fill in until their Mini arrives