open source

Video by Linux Tex via YouTube

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GCC just adopted a new AI contributions policy — and the internet is calling it an AI code ban. But the real story is way more interesting than the headline. In this video, we break down GCC’s new AI policy, why the 15-line rule matters for copyright, and what it means for the future of open source and the GPL.

GCC (the GNU Compiler Collection) will now decline legally significant contributions that include LLM-generated code, or code derived from it. We dig into why "legally significant" starts at around 15 lines, how the U.S. Copyright Office’s stance on AI-generated works exposes a real copyright hole in the GPL, and how GCC’s approach compares to LLVM’s human-in-the-loop policy and the Linux kernel’s disclosure-plus-liability model under Linus Torvalds.

We also cover the Assisted-by tag requirement, the Developer Certificate of Origin (DCO) sign-off rules, why AI is still allowed for research, debugging, and patch review, the Reddit and Hacker News community reaction, and why this policy is temporary with a review date set for 2027.

If you care about Linux, open source, the GPL, GNU, software licensing, or how AI is reshaping the future of software development, this is the video for you.

🔔 Subscribe for more deep dives into Linux, open source, and how AI is changing the software world.

Keywords: GCC AI ban, GCC AI policy, open source AI policy, GNU Compiler Collection AI, AI generated code copyright, GPL AI, copyleft AI, Linux Torvalds AI, LLVM AI policy, Linux kernel AI policy, AI code contributions, software copyright AI, is AI code copyrightable, open source vs AI

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Video by H2O.ai via YouTube

H2O.ai Managed Cloud is a fully managed, isolated AI environment where data preparation, model development, and deployment all run in one place.

This first lesson covers what the platform is and the problem it solves. Most teams are not short of ideas, they are slowed down by data living in one system, models being built in another, and deployment happening somewhere else.

You will also see the two principles behind the setup. Managed means H2O.ai runs the infrastructure for you, including GPU compute when the workload needs it. Isolated means your environment is dedicated, so data, compute, and workloads are never shared with another customer.

Covered in this video:
The three capabilities the platform brings together: automated machine learning, generative AI, and model operations
Why fragmented tooling causes delays, duplicated effort, and gaps in governance
Where H2O Driverless AI, H2O LLM Studio, and Enterprise h2oGPTe sit in the platform
What managed and isolated mean for security, privacy, and enterprise governance

LINKS
H2O.ai University: https://h2o.ai/university
Documentation: https://docs.h2o.ai
Request access or a demo: https://h2o.ai/demo
Support: support@h2o.ai

ABOUT H2O.ai

H2O.ai builds the platform enterprises use to develop, deploy, and operate AI on their own private data, across predictive machine learning and generative AI.

#H2Oai #EnterpriseAI #MLOps

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Video by Hugging Face via YouTube

The Hugging Face research team discusses the paper "Weak-to-Strong Generalization via Direct On-Policy Distillation" which proposes a cheap way to transfer the benefits of reinforcement learning from small models to much larger ones. Instead of imitating the smaller model directly, it measures how RL changed the small model’s policy and uses that change as a dense reward signal to train the larger model. The result is a form of weak-to-strong generalization that can match or outperform direct RL on the larger model at a fraction of the compute cost.

Paper link: https://huggingface.co/papers/2607.05394

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Video by OpenCV via YouTube

Air cargo still runs on estimates — dimensions eyeballed at acceptance, and containers packed by "feel." Suraj Nair, founder of Singapore-based Speedcargo, joins OpenCV Live to show how 3D computer vision, optimization algorithms, and gantry robotics replace that guesswork with measured cargo data. He’ll cover what it takes to get perception working reliably in a live cargo terminal, and where the industry’s automation efforts go next.

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 NetApp Instaclustr via YouTube

Take a closer look at CEP 49: Hardware Accelerated Compression.

Watch the full video for 5 CEPs to keep your eye on: https://youtu.be/M8igS11gTNI

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

Preferred Networks shares its AI accelerators instead of letting them sit idle. Aya Igarashi, Software Engineer at Preferred Networks, explained their hybrid approach at KubeCon + CloudNativeCon Japan.

#KubeCon #CloudNative

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Video by FINOS via YouTube

Are your best AI engineers wasting time rebuilding the exact same compliance guardrails as every other bank? Greig Cowan, Head of AI and Data Science at NatWest, argues that financial institutions must mutualize their underlying AI governance layer through open source so they can focus on true customer-facing innovation.

🌐 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/podcastsLinkedIn:
https://www.linkedin.com/company/finosfoundation

#Fintech #Banking #AIOperations #FINOS #OpenSource

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Video by Open Data Science and AI Conference via YouTube

Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0

#DataScience #AI #ArtificialIntelligence #ODSCAI

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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

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Video by The Late Night Linux Family via YouTube

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

Reports of desktop Linux adoption numbers are probably exaggerated, the Steam Frame seemingly gets closer, Valve’s European logistics partner leaks people’s data, Proxmox gains Arm64 support, GNOME Boxes makes some changes, and a quick KDE Korner. With guest hosts Chris from Linux After Dark, and Sean from Hybrid Cloud Show.

https://latenightlinux.com/late-night-linux-episode-398/

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