Recent Posts
Social•Feb 21, 2026
NVIDIA Open‑Sources Robot World Model Trained on 44K Hours
NVIDIA releases open-source robot world model trained on 44,000 hours of human video https://t.co/RqlVawEDXa @NVIDIA #AI #MWC26 https://t.co/hQFacKuAkl
By Harold Sinnott
Social•Feb 18, 2026
Smart Metrics Need Guardrails to Ensure Durable AI Transformation
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://t.co/r792RxQbTa...
By Harold Sinnott
Social•Feb 18, 2026
Human Ambition + AI-First Drives Microsoft Customer Success
How human ambition and AI-first differentiation are helping @Microsoft customers go further with AI https://t.co/bq306Z1fts @AiqIntelligence @BlackRock @dentsu_global @Ecolab @HeyEpic @harvey_ai @InSilicoMeds @KraftHeinzCo @ManusAI @MercedesBenz @Nasdaq @RalphLauren @SchneiderElec @educacaosp @Telstra @Toyota @nvidia @Azure #WEF26 #Cloud
By Harold Sinnott
Social•Feb 17, 2026
No‑Code AI Powers Projects; 2025’s Top ML Trends
How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 https://t.co/e65AsSHtq4 #AI #MachineLearning #IoT #WMC26 #5G
By Harold Sinnott
Social•Feb 17, 2026
Assessing How Well AI Models Grasp Real-World Context
Can large language models figure out the real world? How deeply predictive AI systems understand their subject matter? https://t.co/E2bwsorCLs #MachineLearning #MIT #MWC26 #AI #IoT #5G @mitsmr
By Harold Sinnott
Social•Feb 17, 2026
AI Shifts to Edge, Dem
#AI is leaving the data center for robots, sensors, drones, and #XR. 🥽 It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs. 🔗 Read more on Börje Ekholm’s blog: https://t.co/0AP5Zz84dm via...
By Harold Sinnott
Social•Feb 16, 2026
MIT Breakthrough Lets Rescue Robots Map Spaces Instantly
This is where #AI + #IoT + #robotics become mission-critical. Robots that understand their environment don’t just move faster, they save lives. MIT just unveiled a breakthrough that lets search-and-rescue robots rapidly map large, unpredictable spaces in real time. @MITAeroAstro @MITEngineering #MWC26...
By Harold Sinnott
Social•Feb 16, 2026
AI Transforming Energy Utilities Through Optimized Operations
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 👉 https://t.co/j1qWzqgCEL @IEA #AI #IoT #5G #MWC26
By Harold Sinnott
Social•Feb 16, 2026
Telecoms Transform Into Real-Time Adaptive Intelligence Networks
As 5G, IoT, and Agentic AI converge, telecom networks are no longer passive infrastructure, they’re becoming adaptive, self-optimizing systems that sense, decide, and act in real time. How connectivity is evolving from moving data to orchestrating intelligence ⬇️ Read: ➡️ https://t.co/uwh6kF4fVy #AI...
By Harold Sinnott
Social•Feb 16, 2026
AI Shows KPI Design Must Prioritize Impact Over Proxies
What #AI reveals about performance measurement: proxies get optimized. If you measure speed, you may lose quality. If you measure output, you may miss impact. In the ML era, KPI design is a leadership discipline. https://t.co/FfVafJZaUk @mitsmr #MWC26 https://t.co/NqyEiNAj50
By Harold Sinnott
Social•Feb 15, 2026
Companies Shift From AI Experiments to Delegating Tasks
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://t.co/Eh8T7HY4Ps via @MITSloan #AI #DigitalTransformation #GenAI #IoT #5G #MWC26 #FutureOfWork #GLMC
By Harold Sinnott
Social•Feb 15, 2026
AI‑Driven Reskilling Needed to Meet Energy Workforce Gap
The global energy transition won’t scale without people. Newly qualified energy workers aren’t keeping pace with demand, and without a ~40% increase in trained entrants by 2030, the skills gap will widen fast. This is where #AI, digital skills, and reskilling become...
By Harold Sinnott