AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
AI
-
Carbon Robotics NVIDIA Laser Weeding Chemical-Free Farming
By
–
Laser Weeding Revolution: Carbon #Robotics and NVIDIA Redefine Chemical-Free Farming
— Ronald van Loon (@Ronald_vanLoon) 18 avril 2026
by @kimmonismus
#AgriTech #TechForGood #Innovation #Tech #Technology pic.twitter.com/sASQ68ypFSLaser Weeding Revolution: Carbon #Robotics and NVIDIA Redefine Chemical-Free Farming
by @kimmonismus #AgriTech #TechForGood #Innovation #Tech #Technology -
China Will Replicate Mythos Capabilities Within 12 Months
By
–
Dario Amodei: China will have a replicate of Mythos capabilties within 12 months. He also says: “There’s no end to the rainbow. There’s just the rainbow,” he says. “We don’t see anything slowing down." For anyone who doubted that China Mythos is lagging far behind: Dario
-
Industrial IoT Maturity Acceleration: Current Industry Insights
By
–
Industrial IoT maturity is accelerating fast. What are you seeing? @IIoT_World @CRudinschi @agentic_factory @YarmolukDan @Xavier_Porter1 @ThyGat
-
Building Production Apps Without Infrastructure Management
By
–
Developers shouldn’t have to spin up infrastructure just to start building. In this webinar, engineers from Databricks and @cursor_ai walk through how to build and deploy a production-ready app without managing infrastructure. You’ll see how to work with serverless Postgres,
-
Industrial Analytics Projects Fail Due to Data Preparation Challenges
By
–
Industrial analytics projects have a 70% failure rate, often because the data preparation phase takes longer than expected and delivers poor quality datasets.
-
AI Robotics Emergence Requires Strong Safety Guardrails
By
–
AI emerging into the physical world via robotics. Guardrails will be key to scaling https://t.co/4sJ3kPu0Ny
— AI (@DeepLearn007) 18 avril 2026AI emerging into the physical world via robotics. Guardrails will be key to scaling
-
Claude Opus 4.7 versus 4.6 text performance rankings
By
–
Claude Opus 4.7 vs Opus 4.6 text category rankings Source: https://
reddit.com/r/ClaudeAI/com
ments/1so814j/
… -
Manufacturing AI Needs Operational Context for Meaningful Results
By
–
Most AI models trained on raw manufacturing data produce useless results because they lack operational context about normal vs abnormal conditions.
-
Manufacturing AI Needs Contextualized Data for Industrial Analytics
By
–
Manufacturing AI needs contextualized data, not raw sensor streams.
— Lucian Fogoros (@fogoros) 18 avril 2026
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/Miw3QMC36BManufacturing AI needs contextualized data, not raw sensor streams.
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc
. #highbyte_iiot