MacBreak Weekly 1042

MacBreak Weekly 1042

Video by TWiT Tech Podcast Network via YouTube
MacBreak Weekly 1042

MacBreak Weekly covers all things Apple: Leo, Andy Ihnatko, Jason Snell, and Christina Warren analyze every bit of news from the most interesting company in tech. From AI to Vision Pro, iPad to iPhone, these Apple experts know-all and tell-all.

You can find more about TWiT.tv and subscribe to our full shows at https://podcasts.twit.tv
Join our community at Club TWiT: https://twit.tv/clubtwit

About us:
TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.

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Open Source Digest: Kubernetes, Security, and More

Open Source Digest: Kubernetes, Security, and More

Community and Collaboration Social Coworking and Office Hours – Code Linting in R: Join a collaborative session to improve your R code quality and learn best practices for linting. Umfrage: Wie wichtig sind Linux und Open Source für dich? (Survey: How important are Linux and Open Source to you?) A German survey seeking to understand … Read more

Open-Source AI: BRICS Zone, IBM-NASA, and More

Open-Source AI: BRICS Zone, IBM-NASA, and More

This Week in Open Source: AI Goes Global, Hardware Gets Open, and Security Alliance Forms Open source is having a moment—again. But this time, it’s not just about code. It’s about geopolitics, quantum computing, and the very fabric of how we build and secure artificial intelligence. From Xi Jinping’s pitch to BRICS nations for an … Read more

Detecting wildfires with ChatGPT

Detecting wildfires with ChatGPT

Video by OpenAI via YouTube
Detecting wildfires with ChatGPT

Most fifth-grade science projects end up in a closet. Ryan Honary’s became SensoRy AI—a wildfire detection system that identifies fires at ignition and alerts firefighters before a spark becomes catastrophic.

Ryan’s sensors monitor remote terrain for heat, smoke, flame, and plume activity. When a potential fire is detected, ChatGPT turns complex sensor data into clear alerts firefighters and residents can act on.

Follow Ryan from his garage workshop, where he tested his first prototype with a hair dryer, to the hills above Laguna Beach, where his sensor network now watches over the city. Along the way, he uses ChatGPT hands-free while working in the field and shows firefighters how to ask the sensors questions about a potential fire through a walkie-talkie he built using ChatGPT.

As he heads off to college, his goal remains the same – to help firefighters respond quicker and make communities safer from wildfires.

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Knowledge Graphs & Ontology: How Agents Understand Enterprise Context

Knowledge Graphs & Ontology: How Agents Understand Enterprise Context

Video by H2O.ai via YouTube
Knowledge Graphs & Ontology: How Agents Understand Enterprise Context

AI does not automatically understand your organization. It does not know how your products relate to your customers or what your internal terminology means. It needs a map.

Terms covered:
– Knowledge Graph: information represented as a network of connected entities and relationships rather than rows in a table, so an AI system can reason over how things relate
– Ontology: the formal framework that defines the concepts in your domain and how they connect, giving the graph its logic

In healthcare, an ontology defines what counts as a symptom, a diagnosis and a treatment. In finance, it defines instruments, transactions, counterparties and risk categories.

Together they give AI a shared understanding of your world, so it reasons accurately instead of guessing.

—
AI Fundamentals Glossary | H2O.ai University
Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E
Free courses and certifications: https://h2o.ai/university

#KnowledgeGraph #Ontology #AI #AIGlossary #H2Oai

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Why you should never trust your AI agent #AI #Tech #Shorts

Why you should never trust your AI agent #AI #Tech #Shorts

Video by FINOS via YouTube
Why you should never trust your AI agent #AI #Tech #Shorts

Stop relying on post-incident auditing and master continuous AI observability for your workflows.

We break down how to implement real-time logging to ensure autonomous AI agents perform reliably in production environments. Learn why continuous evidence collection is the new standard for AI agent evaluation and how to catch errors before they escalate.

Subscribe for more technical deep dives on building reliable AI systems.

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