Hybrid Cloud Show – Episode 63

Hybrid Cloud Show – Episode 63

Video by The Late Night Linux Family via YouTube
Hybrid Cloud Show – Episode 63

Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux

Shane wants to make his homelab less janky so needs to decide on how to split up his compute and storage, plus some of the KVM over IP devices we own and how we use them.

https://hybridcloudshow.com/hcs63/

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True or False: Autonomous Enterprise Edition with Jan Gilg

True or False: Autonomous Enterprise Edition with Jan Gilg

Video by SAP via YouTube
True or False: Autonomous Enterprise Edition with Jan Gilg

How well do you really know the Autonomous Enterprise? ✅❌

SAP Americas leader Jan Gilg took on the challenge and showed why autonomy is less about AI acting alone and more about the business acting as one.

Turns out, it’s not an IT initiative. It’s not a product. And AI is definitely not running things on its own.

Learn more: https://sap.to/6050BE4QPg

#AutonomousEnterprise #SAP #BusinessAI

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Club TWiT: Photo Time With Chris Marquardt #21 – Rugged

Club TWiT: Photo Time With Chris Marquardt #21 - Rugged

Video by TWiT Tech Podcast Network via YouTube
Club TWiT: Photo Time With Chris Marquardt #21 - Rugged

Join Leo Laporte and Chris Marquardt as they review listener photo submissions for the ‘Coastal’ theme, discuss the latest updates in digital and film photography, and share their passion for the craft.

This Month’s Assignment: Rugged
• Submit photos to the The Tech Guy Flickr group: https://www.flickr.com/groups/techguy
• Please tag it as ‘TGrugged’

Send in your questions: https://tfttf.com/ptq

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Open Source Digest: AI, Security, and Community Updates

Open Source Digest: AI, Security, and Community Updates

AI and Open Source: Balancing Power and Control The open source community is buzzing with discussions on AI’s role and governance. Manus, an AI agent, has sparked debate on the trade-off between convenience and user control. While open source offers flexibility, it often sacrifices ease of use. The community is exploring a middle ground where … Read more

Open Source AI Surge: China, Cost Cuts, and New Frameworks

Open Source AI Surge: China, Cost Cuts, and New Frameworks

Introduction The open-source AI landscape is undergoing a seismic shift. This week, we saw China positioning itself as a leader, established players like AT&T and TrueFoundry slashing costs with open-source solutions, and critical debates about what ‘open’ really means. For developers and enterprises, these developments signal both opportunity and complexity. Let’s dive into the key … Read more

Open Source AI Evolution & Community Highlights

Open Source AI Evolution & Community Highlights

Insight: The Open Source Ecosystem at a Crossroads From PyTorch’s community-driven conference to SAP’s autonomous suite and GNOME’s native blur, the latest updates paint a picture of an open source world that’s rapidly embracing AI—while also wrestling with its implications. The clear message: open source isn’t just about code anymore; it’s about building trustworthy, human-centered … Read more

AI For the Next Era of Banking – Richard Harmon, Red Hat

AI For the Next Era of Banking - Richard Harmon, Red Hat

Video by FINOS via YouTube
AI For the Next Era of Banking - Richard Harmon, Red Hat

Richard Harmon (Global Head of Financial Services at Red Hat) breaks down the fast-approaching frontier of financial engineering. From Barclays’ agentic trading desks to diffusion foundation models trained on exchange tick data, Richard explores how central banks and tier-one institutions are transitioning past narrow transformer correlations toward causal "World Models" and resilient AI architectures.

🗽 Catch Us in New York! Ready to explore the future of agentic AI, world models, and financial resiliency? Join the global banking community at OSFF New York on November 4–5, 2026.

🎟️ Register Now: https://hubs.ly/Q04n_bZL0
🔥 20% OFF DISCOUNT CODE: 26YTOSFFNY20C

🕒 Timestamps:
0:00 Introduction: Global Financial Trends & Open Source Investment
1:11 $5 Billion Security Commitment & The Emerging Tech Spectrum
3:30 Case Study: Barclays’ Agentic Trading & Analyst Swarms
4:18 Calculating Risk via LLMs: Estimating Stochastic Differential Equations
5:05 Foundation Models for Exchange Data: Moving Beyond Text
6:06 Auto-Regressive vs. Diffusion Models for Limit Order Books
7:46 The Limits of Transformer Architectures & Compounding Forecast Errors
8:20 World Models: Moving from Correlation to Causal AI
10:00 Operational Resiliency: The Bank of England Definition
11:21 Transitioning from Experimentation to Industrialized Agentic Systems
12:32 Shifting Left on AI Governance, Ethics, and Model Validation
13:50 Agility & Architecture: Why Platforms Must Evolve Every Six Months

📊 The Problem: The Forecasting Error of Auto-Regressive Models
Standard Large Language Models (LLMs) rely on auto-regressive processing—evaluating sequence data token-by-token or tick-by-tick. In high-frequency capital markets or complex risk calculations, a single minor prediction error compounds sequentially down the execution chain. This creates massive forecast errors, making pure transformer-based architectures unreliable for modeling real-time market risk, limit order books, or complex portfolio exposures.

🏗️ The Solution: Causal World Models & Diffusion Architectures
Richard Harmon maps out the next generation of financial AI infrastructure:

Diffusion Foundation Models: Evaluating billions of potential market outcomes holistically rather than sequentially, allowing the system to self-correct prediction errors instantly.

Causal World Models: Shifting AI from basic statistical correlation to true environmental context and causality, enabling agents to operate with structural awareness.

Agentic Risk Guardrails: Structuring "agent-checking-agent" review loops (as demonstrated by Barclays) to validate stochastic calculations against historical baselines before market execution.

⚙️ Why This Matters for Financial Engineering

Safe Sandbox Testing: Capital markets serve as an optimal testing ground for agentic AI because workloads do not expose private retail customer data while offering immense quantitative leverage.

Regulator-Aligned Resiliency: Designing systems to meet central bank expectations (like the Bank of England’s operational resilience framework) by building automated recovery paths directly into the architecture.

🌐 More about FINOS: https://www.finos.org/
📧 Join our newsletter: https://www.finos.org/sign-up
🎙️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation

#FINOS #OSFFNewYork #RedHat #CapitalMarkets #AgenticAI #WorldModels #QuantFinance #DiffusionModels #RiskManagement #FinTech

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Open Source, AI, and You.

Open Source, AI, and You.

Video by Awesome Open Source via YouTube
Open Source, AI, and You.

I’ve done a few videos around the AI topic. This one is kind of my combo AI video. How does AI affect Open Source, where’s it place in open source, what open source can do for AI and whit it’s important, and a break down of my current AI based projects that you can get to.

=== Links ===
Forgejo site
https://forge.routemehome.org/bmcgonag

OpenCode
https://opencode.ai/

Paul Hibbert – Home Assistant with OpenCode

Get the AwesomeOpenSource Merchandise
https://osia.printify.me

Support my Channel and ongoing efforts through Patreon:
https://patreon.com/awesomeopensource

Buy Me a Coffee or Beer
https://paypal.me/BrianMcGonagill?country.x=US&locale.x=en_US

=== Get My Novel ===
Entanglement – by Brian McGonagill

Dave is just a normal guy with a normal job that he doesn’t like that much. That is, until he meets Leo, and gets the job he never imagined. Action, adventure, betrayal, love, loss, and some serious weirdness happen throughout this science fiction thrill-ride.
— eBook on Amazon by Country —
US – United States – https://www.amazon.com/dp/B0DZJ5PMHG
UK – United Kingdom – https://www.amazon.co.uk/dp/B0DZJ5PMHG
DE – Germany – https://www.amazon.de/dp/B0DZJ5PMHG
FR – France – https://www.amazon.fr/dp/B0DZJ5PMHG
ES – Spain – https://www.amazon.es/dp/B0DZJ5PMHG
IT – Italy – https://www.amazon.it/dp/B0DZJ5PMHG
NL – Netherlands – https://www.amazon.nl/dp/B0DZJ5PMHG
JP – Japan – https://www.amazon.co.jp/dp/B0DZJ5PMHG
BR – Brazil – https://www.amazon.com.br/dp/B0DZJ5PMHG
CA – Canada – https://www.amazon.ca/dp/B0DZJ5PMHG
MX – Mexico – https://www.amazon.com.mx/dp/B0DZJ5PMHG
AU – Australia – https://www.amazon.com.au/dp/B0DZJ5PMHG
IN – India – https://www.amazon.in/dp/B0DZJ5PMHG

— Paperback by Country —
US – United States – https://www.amazon.com/dp/B0DZPM682N
UK – United Kingdom – https://www.amazon.co.uk/dp/B0DZPM682N
DE – Germany – https://www.amazon.de/dp/B0DZPM682N
FR – France – https://www.amazon.fr/dp/B0DZPM682N
ES – Spain – https://www.amazon.es/dp/B0DZPM682N
IT – Italy – https://www.amazon.it/dp/B0DZPM682N
NL – Netherlands – https://www.amazon.nl/dp/B0DZPM682N
PL – Poland – https://www.amazon.pl/dp/B0DZPM682N
SE – Sweden – https://www.amazon.se/dp/B0DZPM682N
JP – Japan – https://www.amazon.co.jp/dp/B0DZPM682N
CA – Canada – https://www.amazon.ca/dp/B0DZPM682N
AU – Australia – https://www.amazon.com.au/dp/B0DZPM682N

— Hard cover by Country —
US – United States – https://www.amazon.com/dp/B0DZPVSRNZ
UK – United Kingdom – https://www.amazon.co.uk/dp/B0DZPVSRNZ
DE – Germany – https://www.amazon.de/dp/B0DZPVSRNZ
FR – France – https://www.amazon.fr/dp/B0DZPVSRNZ
ES – Spain – https://www.amazon.es/dp/B0DZPVSRNZ
IT – Italy – https://www.amazon.it/dp/B0DZPVSRNZ
NL – Netherlands – https://www.amazon.nl/dp/B0DZPVSRNZ
PL – Poland – https://www.amazon.pl/dp/B0DZPVSRNZ
SE – Sweden – https://www.amazon.se/dp/B0DZPVSRNZ

=== Timestamps ===
00:00 Beginning
00:01 Introduction
02:15 OpenCode
03:00 Get_Streaming
04:10 Llama-CPP
05:25 Projects on my Forgejo
07:25 Get_Puzzles
07:50 Get_Healthy
08:05 GlassWRT
08:35 Incus Commander
09:40 Where AI Can Give Benefit to Open Source
10:45 Treasure Trails

=== Contact ===
Matrix: @mickintx:discuss.opensourceisawesome.com
Mastodon: @MickInTx@fosstodon.org

=== Special Thanks ===
Gabriela Lopez – Video Editor

=== Affiliates ===
Get a super cheap, yet pwerful VPS at Racknerd
https://my.racknerd.com/aff.php?aff=14764

Get a $50.00 credit for Digital Ocean by signing up with this link:
https://m.do.co/c/a6a61ae55242

Use Hover as your Domain Name Registrar to get some great control over you domains / sub-domains:
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Support my Channel and ongoing efforts through Patreon:
https://patreon.com/awesomeopensource

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Beyond Chatbots: Building AI That Actually Does Things with Mohammad Soltanieh-ha, PhD

Beyond Chatbots: Building AI That Actually Does Things with Mohammad Soltanieh-ha, PhD

Video by Open Data Science and AI Conference via YouTube
Beyond Chatbots: Building AI That Actually Does Things with Mohammad Soltanieh-ha, PhD

What happens when AI stops just answering questions — and starts actually doing things for you?

In this episode of the ODSC AiX Podcast, guest host Jerry Wolfe sits down with Mohammad Soltanieh-ha, PhD, Clinical Assistant Professor at Boston University’s Questrom School of Business, to explore the shift from chatbots to AI systems that can take action in the real world.
Mohammad shares how he built a context-aware live translation app after existing AI tools fell short during his travels, and what it really takes to turn an AI prototype into a reliable product.

They dive into personal AI agents that can research, organize information, and create customized audio briefings, as well as the validation, guardrails, security, and human-centered design needed to make these systems actually work.

The conversation also explores KlickBox, Mohammad’s interface for personal AI agents, how AI is making software development more accessible, and a bigger question: What if AI’s greatest opportunity isn’t replacing existing work, but enabling things that were never possible before?.

00:00 Episode Preview: Building Better AI Systems
00:13 ODSC AiX Podcast Introduction
03:47 How AI Agents Are Changing Everyday Life
07:00 Personal AI Apps: Privacy & Security Risks
09:20 How Context-Aware AI Translation Works
13:59 Building a Real-Time Voice-to-Voice AI Translator
16:31 Testing & Evaluating Reliable AI Applications
22:15 AI Guardrails, Security & Agent Reliability
25:04 Why Build AI Agents Instead of Just Using ChatGPT?
29:45 Live Demo: AI-Powered Translation App
35:00 Building AI Apps with AI Coding Agents
39:00 AI Agent Security & Real-World Risks
41:27 From AI Prototype to Production-Ready Application
44:33 KlickBox: Building Personal AI Agents
47:54 Turning Research Into AI-Generated Podcasts
53:42 Making AI-Generated Audio Sound Human
59:27 The Future of AI: Building What Wasn’t Possible Before

Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai

To watch more videos like this, visit https://aiplus.training

Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/

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