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.
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’
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
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
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
Meta’s Tristan Rice shares the importance of IRL community connection at PyTorch Conference NA. Register today: https://events.linuxfoundation.org/pytorch-conference-north-america/?
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
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
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