Can large language models figure out the real world?

How deeply predictive AI systems understand their subject matter?

https://news.mit.edu/2025/can-large-language-models-figure-out-real-world-0825

#MWC26 #AI @mitsmr

Can large language models figure out the real world?

A new approach assesses how deeply predictive AI systems understand their subject matter, and whether they can apply knowledge from one domain to a slightly different one.

MIT News | Massachusetts Institute of Technology

The Age of Electricity is set to reshape the nature of power system security.

Careful attention is needed to ensure the availability of dispatchable sources, boost system flexibility & resilience, and expand & modernise the world’s grid networks ➡️ iea.li/3Zjwnh2

via @iea #AI #GenAI #IoT #5G #MWC26 #DigitalTransformation

AI applications have the capacity to revolutionise the way we produce & consume energy

Today AI is helping power utilities optimise operations like equipment maintenance & replacements, as well improving fault prevention & detection

More 👉 iea.li/4o2BvBB

@iea #AI #IoT #5G #MWC26

A growing share of organizations are no longer just experimenting with artificial intelligence, they’re beginning to delegate work to it.

“How to navigate the age of agentic AI”

👉 https://mitsloan.mit.edu/ideas-made-to-matter/how-to-navigate-age-agentic-ai

via @MITSloan #AI #DigitalTransformation #GenAI #IoT #5G #MWC26 #FutureOfWork #GLMC

Telecom networks are evolving into AI-driven systems capable of sensing, learning, and adapting.

That was one of my biggest takeaways from @IBM’s telco discussions at #MWC26

Why autonomy is becoming operational intelligence.

➡️ https://www.linkedin.com/posts/haroldsinnott_mwc26-autonomousnetworks-ai-activity-7435253319603912705-RlWm

#AI @MWCHub @GSMA @ibmconsulting

One of the key shifts I observed at #MWC26:

The telecom industry is moving from asking
“Can we automate networks?”
to asking
“How does autonomy drive measurable value?”

Reflections from the @Ericsson pavilion.

https://www.linkedin.com/posts/haroldsinnott_mwc26-autonomousnetworks-ai-activity-7434671887907033089-9S4j

#AI @MWCHub @GSMA @Ericsson

Smart metrics don’t just measure performance, they shape behavior.

If we’re deploying #AI across the enterprise, we need guardrails against metric gaming from day one. Governance isn’t a brake on innovation, it’s what makes transformation durable.

Especially as agentic systems enter ops.

https://sloanreview.mit.edu/article/what-ai-can-teach-us-about-designing-better-kpis/

#MWC26

A key takeaway from conversations at the @IBM booth during #MWC26 :

Autonomous networks will emerge not only through automation, but through AI-driven observability, hybrid cloud platforms, and operational intelligence.

My reflections.
https://www.linkedin.com/posts/haroldsinnott_mwc26-autonomousnetworks-ai-activity-7435253319603912705-RlWm

@MWCHub @GSMA @ibmconsulting

At #MWC26, autonomy in telecom is being reframed.

Not as a collection of automation tools, but as a control philosophy for modern networks, aligning intent, AI, and architecture.

Insights from Ericsson’s presence at MWC.

https://www.linkedin.com/posts/haroldsinnott_mwc26-autonomousnetworks-ai-activity-7434671887907033089-9S4j

#AI @MWCHub @GSMA @Ericsson

Can large language models figure out the real world?

How deeply predictive AI systems understand their subject matter?

https://news.mit.edu/2025/can-large-language-models-figure-out-real-world-0825

#MWC26 #AI @mitsmr

Can large language models figure out the real world?

A new approach assesses how deeply predictive AI systems understand their subject matter, and whether they can apply knowledge from one domain to a slightly different one.

MIT News | Massachusetts Institute of Technology