Source: https://
mitsloanme.com/article/why-ex
ecution-remains-industrial-ais-hardest-problem/
… #Infinite_iiot. Partner content with @AI4ProdOutcomes
.
SYSTEMS
-
Execution Remains Industrial AI’s Hardest Challenge
By
–
-
Enterprise AI Winners Build Better Intelligent Systems
By
–
My view is simple: The winners in enterprise AI will not be the companies with access to the most models. They will be the ones that build the best intelligent systems around them. If you want the full breakdown, watch the video and tell me what part of your AI stack you are
-
Models as Components: The Rise of AI Agent Infrastructure
By
–
My biggest takeaway: Models are becoming components, not products. What matters now is the system around them: → runtimes
→ memory
→ tool access
→ orchestration
→ secure execution environments That is what turns a model into an agent, and an agent into something the -
AI 2027: From Agent-1 to Superintelligence Misalignment
By
–
From Agent-1 to Superintelligence: The AI 2027 Scenario The AI 2027 Report outlines one of the most thought-provoking trajectories for artificial intelligence: a rapid evolution from simple assistants (Agent-1) to autonomous, adversarially misaligned systems (Agent-4) and
-
Wi-Fi 5G failures in electromagnetic field industrial zones
By
–
Plant managers already know Wi-Fi and 5G fail in electromagnetic field zones.
-
Self-Rewriting Agent Infrastructure: Dynamic Model Evolution
By
–
Agents that continuously rewrite their own harness just became real. Agent infrastructure today ships static agents. The harness, model, and workflow never change after deployment. Over time performance degrades silently. Context drifts, latency compounds, newer models sit
-
Energy Constraints Define Real Limits for Scaled AI Systems
By
–
Exactly. This pattern repeats across different domains. Once scale becomes relevant, energy stops being a background factor and starts defining the real limits of what systems can deliver.
-
Energy as Structural Condition for AI Sustainability
By
–
Thank you.
I appreciate your reflection.
It brings the discussion to the right level. Energy is moving from a background variable to a structural condition that shapes what can actually be built and sustained over time. -
AI Operating System Rebuild and Everything App Emergence
By
–
One AI will do everything. There is about to be an app explosion. But it is deeper. The OS itself should be completely rebuilt by AI for the AI to use. The everything app is coming.
-
No Barber Principle: Paradox Prevention in Self-Adjudicating Systems
By
–
New paper in The Inaccessible Game series: Starting from a small tautology — a self-adjudicating system can’t seek external arbitration — I arrive at a “No Barber Principle” for avoiding Russell-style paradoxes. It connects entropy, copying, and Lawvere