AI

Video by OpenAI via YouTube

Meet Bartosz.

A mathematician solving previously unsolvable math problems with GPT-5.6

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Video by Hugging Face via YouTube

After reviewing hundreds of creative projects from builders around the world, it’s finally time to announce the Build Small Hackathon winners 🎉

Congratulations to all our winners, and thank you to everyone who joined us and built something amazing.

🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/5371923545718784

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Video by OpenCV via YouTube

Our guest this week is Alireza Taheritajar, a Ph.D. Student an Augusta University focusing on In-Situ Intelligent Mixed Reality Assistants for Adaptive Human-AI Collaboration. Mixed-reality overlays have been around for awhile, but with the recent upgrades in camera quality, lens resolution, and processing power they are becoming more useful than ever. Join us for a look at some very cool research and development tech here on OpenCV Live.

OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/

Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.

Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join

Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151

Thumbnail by Natalia de la Rosa natdlrs.com

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Video by FOSSASIA via YouTube

Create stunning interactive web art and real-time audio without sacrificing performance. In this FOSSASIA Summit 2026 session, Phoomparin Mano shares practical techniques for building smooth rendering and audio pipelines using WebGL2, Web Audio API, Web Workers, and WebAssembly.

Learn how to optimize graphics and sound processing, eliminate lag, and build immersive browser experiences for creative coding, generative art, games, and interactive web applications.

FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org

Session slides: https://eventyay.com/ev/88882f3e/talk/TPGK1JXBQW8P/

#FOSSASIA #FOSSASIASummit #opensource #FOSS

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

Don’t miss out! Join us at our next KubeCon + CloudNativeCon events in Yokohama, Japan (29-30 July, 2026), and Shanghai, China (8-9 September, 2026) Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io

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Video by Meta Open Source via YouTube

Pyrefly presets give you a simple way to set the strictness of your Pyrefly settings without having to configure every setting manually.

More details: https://pyrefly.org/en/docs/configuration/#preset

#pyrefly #python #opensource #pythonprogramming

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Video by FINOS via YouTube

Jerome Andrews (Director of Open Innovation Initiatives at DTCC) and Greig Cowan (Head of AI & Data Science at NatWest) announce the launch of the FINOS AI Fund. Alongside Gabriele Columbro, they unveil an industry-backed governance framework designed to shift AI out of isolated sandbox prototypes and into a unified, executable, and compliance-vetted production stack.

🗽 Catch Us in New York! Ready to explore the next generation of pre-competitive financial AI? Join industry leaders at OSFF New York on November 4–5, 2026.
🎟️ Register Now: https://hubs.ly/Q04n_bZL0
🔥 20% OFF DISCOUNT CODE: 26YTOSFFNY20C

🕒 Timestamps:
0:00 Welcome: Coalescing the High-Performance Compute (HPC) Roster
1:26 AI Overload vs. The Sovereign Open Source Reality
2:32 Commercial AI Mega-Rounds and the Kubernetes Moment for AI
4:03 Introducing AI at FINOS: Bringing Banking Requirements to the Stack
5:19 The Three-Pronged Strategic AI Initiative
6:47 Governance-as-Code: Mapping Fragmented Regulations to Core Repos
8:55 Moving Past Specification: Turning Domain Use Cases into Specs
10:46 Glimpse into the Future: Spec-Driven Development via Trader X
11:46 Catalyzing the Community: Announcing the Founding Members of the AI Fund
13:06 Executive Board Scope: Pre-Competitive Investment & Adoption Paths
14:39 DTCC Keynote Kickoff: Why Market Infrastructures Demand Standardization
16:22 Cost Fragmentation: Stop Re-Solving the Same Problem Over and Over
17:15 Neutrality Advantage: Lowering the Temperature Between Buy-Side & Sell-Side
19:35 Translating Hackathon Prototypes into Hardened Solutions
21:40 NatWest Keynote: Baking Governance-as-Code into Runtime Pipelines
22:53 The Missing Integration Layer: Turning System Policy into Trust
23:29 Critical Control Questions: Authority, Boundaries, and Recovery Scenarios
25:56 Releasing Scarce Skills: Redirecting Top Engineers Away from Duplicate Compliance
26:52 Composable Continuous Control Planes & Execution Use Case Teaser

📊 The Problem: The Duplicate Compliance Engine
The financial sector is locked in an AI overload phase, where millions are burned independently inventing the exact same compliance checklists, threat intelligence pipelines, and cost-reporting metrics in isolation. These critical skills are incredibly scarce. Forcing data scientists and risk engineers to build proprietary versions of non-differentiating observability frameworks ties up vital talent and significantly slows down actual customer innovation.

🏗️ The Solution: The FINOS AI Fund Control Plane
Founding members DTCC, Morgan Stanley, RBC, and NatWest have pooled capital and technical expertise to formalize a neutral, open industry core:

The Continuous Control Plane: Fusing architectural blueprints (CALM), multi-cloud profiles (CCC), and workflow automation (Flux Nova) into a modular, live runtime checker.

Neutral Collaboration: Creating a secure forum where buy-side and sell-side firms can align on pre-competitive safety rails without intellectual property or commercial conflicts.

Specification-Driven Development: Turning complex regulatory codes (like OSFI standards or the EU AI Act) into open executable software parameters instead of dusty compliance text files.

⚙️ Why This Matters for Financial Engineering

Hardening Prototypes: The fund provides the direct investment and framework infrastructure necessary to bridge the gap from flash-in-the-pan hackathon proofs-of-concept to long-running, hardened banking applications.

Bounded Multi-Agent Systems: Establishing deterministic, code-enforced leashes directly inside system runtimes to track token consumption and step-intervene if an AI model encounters operational anomalies.

🌐 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 #AIFund #AIGovernance #SovereignAI #FinTech #HPC #FluxNova #DataScience #RiskEngineering

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Video by Open Data Science and AI Conference via YouTube

In this episode of the ODSC Ai X Podcast, host Dan Gerlanc speaks with Scott Askinosie, Senior Principal AI Engineer at Steel Engine, an AI workspace for building AI agents.

In this conversation, Scott explains why production agent failures are often less about model capability and more about the systems, governance, and workflows around the AI. The episode explores how companies can move from pilots to production-ready agentic systems, why deterministic workflows and observability matter, and why humans and agents will likely work together as part of the same operating system.

0:00 Introduction to Scott Askinosie and the episode
1:05 What breaks most often in production agent systems
3:13 Guardrails for agentic AI systems
3:55 OpenClaw, autonomy, and enterprise risk
5:13 Protecting PII and sensitive data in agent workflows
6:37 Why agents should not have direct access to passwords or keys
7:09 Use the simplest tool possible
8:02 Deterministic code, model routing, and governance
8:46 Why governance helps enterprises adopt agentic AI
9:41 Deterministic pathways, skills, and in-context learning
10:16 Orchestration as a governance layer
11:00 Lessons from OpenClaw failures and agent autonomy
12:38 Steel Engine and governance for enterprise agents
13:00 Using n8n, MCP, Airflow, and Flyte for agent workflows
14:00 Production trade-offs: cost, traceability, memory, and architecture
15:11 How AI accessibility is changing enterprise teams
16:20 From software engineers to vibe coders
17:00 Why internal AI teams are becoming more common
18:46 Build vs. buy for enterprise agentic systems
21:37 Why teams need to keep up with fast-changing AI tools
22:19 Why classical software engineering skills still matter
23:26 Learning with coding agents instead of just vibe coding
24:00 AI engineering vs. agentic engineering
24:57 Why AI will not simply replace all human work
27:29 Inference costs, layoffs, and the future of technical work
28:36 Will companies rehire engineers?
29:15 Why AI works better alongside humans
30:23 Why responsibility cannot be fully delegated to AI
31:00 Companies returning to AI after failed production rollouts
33:21 Observability and evaluations for production agents
34:16 Deterministic pipelines, step logging, and human review
34:36 Aviation use case: automating legacy workflows with agents
36:27 Favorite tracing and evaluation tools
36:49 Comet Opik, Langfuse, Grafana, and Datadog
38:00 Open models vs. commercial models in enterprise AI
39:43 What Scott is watching next in agentic AI
40:00 Mythos, Project Glasswing, and new model capabilities
40:31 Managing humans and agents together
41:00 Multimodal models, Gemini, OpenBrain, and personal AI memory
41:48 Closing thoughts

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

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

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