open source

Video by OpenProject | Open Source Project Management via YouTube

The release brings various features and improvements for you.

0:00 – Introduction
0:20 – New organizational management capabilities
1:47 – Resource management (Enterprise add-on)
3:17 – Backlog and sprints improvements
3:55 – PM²/PMflex enhancements
4:51 – Wiki improvements

Find out more about all features and improvements in our release notes: https://www.openproject.org/docs/release-notes/17-7-0/

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Video by OpenAI via YouTube

Model ML is solving the “last-mile problem” in finance, carrying asks from research to analysis to a finished PowerPoint deck or Excel workbook with traceable sources.

When Model ML tested GPT‑5.6 Sol in its Composite, the results “blew every metric out the water,” says Co-founder and CEO Chaz Englander:

⚡ 21% fewer tokens per PowerPoint deck than Fable 5
✅ A 16.6 percentage-point lead over Opus 5 on decks ready for substantive review
📊 36% fewer tokens per Excel workbook than Opus 5

Watch Englander walk through Model ML’s evaluation process, then read the full story about how they use the model in production here: https://openai.com/index/model-ml/

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Video by Hugging Face via YouTube

Prompt caching can cut the input cost of long AI agent sessions dramatically—but only when your harness preserves reusable prompt prefixes. This video explains what prompt caching actually stores, why agent costs compound across turns, how provider behavior differs, and the implementation mistakes that invalidate your cache.

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🔗 *Links*
– Written tutorial: https://alejandro-ao.com/tutorials/prompt-caching/
– Tau coding agent: https://github.com/huggingface/tau
– Pi coding agent: https://github.com/badlogic/pi-mono
– Hugging Face Inference Providers: https://huggingface.co/docs/inference-providers/index
– OpenAI prompt caching: https://platform.openai.com/docs/guides/prompt-caching
– Anthropic prompt caching: https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching
– Gemini context caching: https://ai.google.dev/gemini-api/docs/caching

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👋 *Connect with me*
– My website: https://alejandro-ao.com/
– X (Twitter): https://x.com/_alejandroao
– LinkedIn: https://www.linkedin.com/in/alejandro-ao/

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🤓 *Topics Covered*
– How prompt caching works
– AI agent token cost reduction
– Cache-friendly agent harness design

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⏱️ *Timestamps*
0:00 Why long AI agent sessions get expensive
0:45 What prompt caching actually caches
5:55 Provider pricing and cache discounts
9:19 Prompt caching best practices
15:40 Summary and cache monitoring

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Video by CNCF [Cloud Native Computing Foundation] via YouTube

CNCF Ambassador Hrittik Roy started by building student communities. Now he’s helping teams optimize for the AI wave.

#Shorts #CNCFAmbassadors #CloudNative #AI

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Video by FINOS via YouTube

AI policy should be active, not academic. Greig Cowan (Head of AI & Data Science at NatWest) discusses shifting from static checklist reviews to a "Governance as Code" model where compliance checks run continuously at runtime and telemetry is gathered automatically.

🌐 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

#AIGovernance #ComplianceAutomation #SoftwareEngineering #FINOS #Fintech

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Video by TWiT Tech Podcast Network via YouTube

ICE collected nearly 100 million DNA samples last year, including from children, some without being accused of a crime. This data is now in a permanent database, citizen or not. Are we all under surveillance? #ICE #DNADatabase #Surveillance #Privacy #CivilRights

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