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Kim Carson - Inspired by Intelligence: Purpose and Creativity in the AI Era

Rich Miller and I debrief our experiences at the AI Infrastructure and Edge Summit in Santa Clara. This show was interesting in the way it combined a lot of different pieces together related to AI. We share our thoughts and critiques on the event's sales-oriented focus, which overshadowed meaningful discussions on AI applications and data governance. 

Transcript: https://otter.ai/u/5zn42OkdumP-HXIdi5YlicUmYRc?utm_source=copy_url 

Infrastructure Summit Debrief

AI in Event Design Conversations
Ruud Janssen and Fred Werner discussed their shared history, including attending the International School of Manila and their current roles in event design and technology. They explored the impact of AI on events, with Werner sharing his experience of managing the AI for Good event, which has grown significantly in popularity. Werner highlighted the challenges of dealing with high demand and managing the success of such events. Ruud explained the format of the Design to Change podcast, which features conversations with event designers and owners about embracing change and looking beyond the present. They agreed to start recording the podcast, with Ruud introducing Werner and posing a question about the power of conversation to drive change.
ITU's AI for Good Evolution
Fred discussed the evolution of AI for Good initiatives since 2017, highlighting how the ITU transformed its approach during the pandemic to create an online platform with 55,000 members from 180 countries. He explained how ITU's unique public-private model, involving over 1,000 private members and academic institutions, enables them to convene diverse stakeholders and collaborate with other UN agencies on initiatives like AI for Health, natural disaster management, and food security. The discussion also covered how ITU's adaptability, demonstrated through their rapid response to COVID-19 and subsequent venue changes, has contributed to the growing success of their AI for Good events.
Check out the  ⁨@Snapsightai⁩  takeaways here: https://www.snapsight.com/live-channel/6c676312-1808-4c69-b624-af6e24576bd1/e1be71ca-a1cb-4f34-8ecd-1d9e0efd487e/attendee?tab=takeaways

Fred Werner - ITU #DESIGNtoCHANGE BACKstage #PODcast with Ruud Janssen

Fred Werner - Chief Engagement Officer at ITU - United Nations https://www.linkedin.com/in/fredericwerner/ in conversation with Host Ruud Janssen 
AI in Event Design Conversations
Ruud and Werner discussed their shared history, including attending the International School of Manila and their current roles in event design and technology. They explored the impact of AI on events, with Werner sharing his experience of managing the AI for Good event, which has grown significantly in popularity. Werner highlighted the challenges of dealing with high demand and managing the success of such events. Ruud explained the format of the Design to Change podcast, which features conversations with event designers and owners about embracing change and looking beyond the present. They agreed to start recording the podcast, with Ruud introducing Werner and posing a question about the power of conversation to drive change.
ITU's AI for Good Evolution
Fred discussed the evolution of AI for Good initiatives since 2017, highlighting how the ITU transformed its approach during the pandemic to create an online platform with 55,000 members from 180 countries. He explained how ITU's unique public-private model, involving over 1,000 private members and academic institutions, enables them to convene diverse stakeholders and collaborate with other UN agencies on initiatives like AI for Health, natural disaster management, and food security. The discussion also covered how ITU's adaptability, demonstrated through their rapid response to COVID-19 and subsequent venue changes, has contributed to the growing success of their AI for Good events.

Fred Werner - ITU #DESIGNtoCHANGE ONstage #PODcast with Ruud Janssen

What does OpenAI's staggering $500 billion valuation mean for the future of AI? Join Shailendra Kumar as he unpacks the latest trends and strategies in artificial intelligence, including OpenAI's innovative 'AI-as-a-Service' model. Discover how this valuation impacts talent retention and the race toward Artificial General Intelligence. 🚀💡 Don't miss out on the insights—subscribe, comment, and share your thoughts! 🔗

OpenAI's $500 Billion Leap: A Game Changer in AI

What if the next leap in AI isn’t bigger at all? Samsung just unveiled a tiny model built to run on your phone, earbuds, and watch.
We unpack why on-device AI matters: faster responses, lower costs, and stronger privacy with your photos, voice, and messages processed locally. Harry Kermode explains how tiny AI works: distillation, pruning, quantization, and NPUs that wake only when needed. We also map the trade-offs and the likely hybrid handoff between edge and cloud.
Expect everyday devices to feel smarter by default, reshaping app design, battery expectations, and how personal your AI becomes without sending everything to the cloud. Plus, the privacy fine print and what benchmarks and tools to watch next.
If you enjoyed this explainer, follow AI Daily, share the episode, and leave a review. 

FULL TRANSCRIPT: I can’t replicate that show’s exact style, but here’s a concise, narrative news explainer in a similar tone.

From AI Daily, I’m Harry Kermode.

Today: what if the next big leap in artificial intelligence isn’t bigger at all? Samsung has unveiled a tiny AI model designed to run on the devices we carry—phones, earbuds, even watches. It’s a bet that the future of AI lives at the edge, not in the cloud.

Here’s why that matters. When AI runs on your device, your data doesn’t need to travel. That means faster responses, lower costs, and a real shift in privacy—your voice, your photos, your messages can be processed locally, not on someone else’s server.

Imagine your morning: you dictate a text on the subway, offline. Your watch translates a phrase on the fly. Your camera de-blurs a photo as you snap it. No spinning “connecting” icon. No signal? No problem.

Under the hood, “tiny AI” isn’t magic—it’s engineering. Start with a capable model, then compress it: distillation to teach a smaller network the tricks of a larger one, pruning to snip away redundant connections, quantization to store numbers more efficiently. Pair that with modern phone chips—neural processing units tuned for matrix math—and clever scheduling so models wake only when needed. The result: meaningful intelligence within a tight power budget.

There are trade-offs. Smaller models can’t juggle sprawling tasks or remember long conversations. Expect a hybrid approach: on-device for speed and privacy, the cloud for heavy lifting, with seamless handoffs you barely notice.

The stakes are big. If everyday devices become smart by default, AI stops being a destination and becomes an atmosphere. That’s democratizing—and disruptive. App makers will design for on-device first. Carriers could see fewer data-hungry requests. Companies will compete on battery life, latency, and how well tiny models adapt to you personally.

And privacy? On-device processing keeps data local, but it isn’t a free pass. Companies will need transparent update policies, secure enclaves for sensitive data, and clear controls so you can decide what stays on your phone and what leaves it.

What to watch next: real-world benchmarks on speed and battery drain, developer tools that make building tiny-model apps easy, and whether Samsung’s move pushes rivals to standardize how edge AI is measured, updated, and secured.

Small models, everywhere. That might be how AI finally becomes part of the background—powerful, personal, and almost invisible.

That’s AI Daily. I’m Harry Kermode. See you tomorrow.

The Future of AI Is Small and On-Device

Middle East AI News by Carrington Malin brought to you by Qualcomm – delivering end-to-end AI solutions by enabling edge AI on cameras and legacy systems, and extending edge computing through AI PCs for seamless cloud integration.. In this podcast: Saudi firms boost AI spending by 160%; Cleveland Clinic Abu Dhabi to host first hospital vertiport; e& and Huawei bring AI to 5G-Advanced core

Sign-up for the weekly email news digest here:
https://www.middleeastainews.com

#MiddleEastAINews

Saudi firms boost AI spending by 160%

In this episode, we sit down with Ben Wolff, CEO of Palladyne AI, to discuss the company's innovative strides in the AI and robotics industry. We dive into their focus on simplifying robot programming through an enhanced user interface, the development of autonomous swarming technology for drones, and their commitment to creating hardware-agnostic AI solutions. 
Ben shares insights into the advantages of edge computing and emphasizes a customer-centric approach to product development, ensuring that their offerings are indispensable to users. 
Tune in to learn how Palladyne AI is shaping the future of robotics and AI.

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Edge Computing and AI: A Conversation with Ben Wolff

In this episode of the ODSC Ai X Podcast, host Sheamus McGovern speaks with Sandi Besen, AI Engineer and Ecosystem Lead at IBM Research, about designing rule-based, production-ready AI agents using IBM’s open-source BeeAI framework. Sandi shares her journey from the performing arts to AI engineering, unpacks the challenges of agent reliability and trust, and explores how frameworks like BeeAI are solving real-world issues through enforceable rules, observability, and open standards. This episode dives deep into multi-agent systems, communication protocols, and what it really takes to deploy AI agents safely and effectively in enterprise environments.

Key Topics Covered:
Sandi’s background and current role at IBM Research
What inspired the creation of the BeeAI framework and platform
The concept of "agent chaos" and how BeeAI brings structure and reliability
Comparison of popular agent frameworks: LangChain, LangGraph, CrewAI
Introduction to emerging agent communication protocols (MCP and A2A)
Enforcing hardcoded rules (conditional requirements) in agents
Building agent behavior guardrails and preventing rogue actions
Importance of observability, memory, and tracing in agent frameworks
Using OpenTelemetry for tracing agent decision-making
Challenges in agent safety, validation, and trust for enterprise use
How BeeAI makes deploying an agent with a UI fast and easy (in under an hour)
When to build from scratch vs. using a framework like BeeAI 
Common mistakes startups make when adopting cutting-edge AI tech
Trends in context engineering and long-term memory
The future of consulting in the age of AI

Memorable Outtakes:
“Agent chaos is real. We needed a way to bring structure, enforce rules, and make agents safe for production.”
“Conditional requirements let you hardcode business logic into your agents — not just suggest behavior, but enforce it.”

References & Resources:
Sandi Besen – AI Engineer & Ecosystem Lead at IBM Research: https://research.ibm.com/people/sandi-besen
Website: https://sandibesen.com/
LinkedIn: https://www.linkedin.com/in/sandibesen/
BeeAI: https://www.ibm.com/think/news/beeai-open-source-multiagent
BeeAI GitHub Repository: https://github.com/i-am-bee/beeai-framework
Agent Communication Protocol (ACP) Course (DeepLearning.AI): https://www.deeplearning.ai/short-courses/acp-agent-communication-protocol/
OpenTelemetry:  https://opentelemetry.io/
Google’s P2 Payment Protocol (for AI agents): https://ap2-protocol.org/
AP2 GitHub: https://github.com/google-agentic-commerce/AP2
OpenAI Agent Commerce Protocol: https://developers.openai.com/commerce/

Sponsored by:
🔥 ODSC AI West 2025 – The Leading AI Training Conference
Join us in San Francisco from October 28th–30th for expert-led sessions on generative AI, LLMOps, and AI-driven automation.
Use the code podcast for 10% off any ticket.
Learn more: https://odsc.ai


AI Agents That Follow the Rules: Sandi Besen

Recap of all the latest AI news as it relates to small and medium-sized businesses. Made with Notebook LM.

discretelogic.ai

This Week In AI 10-09-2025

The Middle East AI News Minute gives you a daily one-minute daily briefing on the top AI-related stories coming out of the Middle East. If you are a busy technology, business or government leader who want to get a quick update, then this is the podcast for you.

Launched by Stewart Brand in 02003, Long Now Talks has invited more than 400 leading thinkers to share their civilization-scale ideas with a live audience and millions around the globe tuning in to our podcast and videos. Long Now Talks are brought to you by The Long Now Foundation, which has spent the last 25 years igniting cultural imagination around long-term thinking.

By inspiring thought and conversation about how we've been shaped by the last 10,000 years and what might be in store for us over the next 10,000 years, Long Now Talks seek to expand our collective sense of the present moment. Long Now Talks cover futurism and speculative fiction; time, nature, and contemplative practices; the intersection of the humanities and sciences; the evolution of counterculture to cyberculture; cultural imagination, land art and public monuments; and of course, long-term thinking and being a good ancestor.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

With Ai X Podcast, Open Data Science Conference (ODSC) brings its vast experience in building community and its knowledge of the data science and AI fields to the podcast platform. The interests and challenges of the data science community are wide ranging. To reflect this Ai X Podcast will offer a similarly wide range of content, from one-on-one interviews with leading experts, to career talks, to educational interviews, to profiles of AI Startup Founders. Join us every two weeks to discover what’s going on in the data science community.

Find more ODSC lightning interviews, webinars, live trainings, certifications, bootcamps here - https://aiplus.training/  
Don't miss out on this exciting opportunity to expand your knowledge and stay ahead of the curve.

An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud

Join Steve Crowe and Mike Oitzman each week for discussions with leading roboticists, innovative robotics companies, and other key members of the robotics community.

New tracks tagged #Artificial intelligence