BREAKING NEWS
LATEST POSTS
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Luca Rossi – How to Help Underperformers
https://hybridhacker.email/p/how-to-help-underperformers
- Understand Performance is Systemic: Recognize that culture, systems, management, and individual traits impact performance.
- Address Underperformance Early: Use consistent feedback and the accountability dial (mention, invitation, conversation, boundary, limit).
- Provide Balanced Feedback: Reinforce, acknowledge, and correct behaviors.
- Use an Underperformance Checklist: Evaluate issues related to culture, systems, management, and individual traits.
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Suite Platinum Medley cover by Diego Cebrián
Bonus: Mike Oldfield MEDLEY (Amarok|Ommadawn|TubularBells)
Diego Cebrián & Alejandro Sotomayor
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The Sunny 16 rule – exposing film photos without a light meter
Basic rule
- On a sunny day, set your aperture to f/16.
- The shutter speed should be the reciprocal of your ISO setting (1/iso).
For example, with an ISO of 100, the shutter speed should be 1/100 seconds.
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GoldmanSachs.com – GEN AI: TOO MUCH SPEND, TOO LITTLE BENEFIT?
Tech giants and beyond are set to spend over $1tn on AI capex in coming years, with so far little to show for it. So, will this large spend ever pay off? MIT’s Daron Acemoglu and GS’ Jim Covello are skeptical, with Acemoglu seeing only limited US economic upside from AI over the next decade and Covello arguing that the technology isn’t designed to solve the complex problems that would justify the costs, which may not decline as many expect. But GS’ Joseph Briggs, Kash Rangan, and Eric Sheridan remain more optimistic about AI’s economic potential and its ability to ultimately generate returns beyond the current “picks and shovels” phase, even if AI’s “killer application” has yet to emerge. And even if it does, we explore whether the current chips shortage (with GS’ Toshiya Hari) and looming power shortage (with Cloverleaf Infrastructure’s Brian Janous) will constrain AI growth. But despite these concerns and constraints, we still see room for the AI theme to run, either because AI starts to deliver on its promise, or because bubbles take a long time to burst.
Local copy below
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Pallaidium – a free and open source genAI movie studio integrated into the free Blender video editor
https://github.com/tin2tin/Pallaidium/
Features
Text to video Text to audio Text to speech Text to image Image to image Image to video Video to video Image to text ControlNet OpenPose ADetailer IP Adapter Face/Style Canny Illusion Multiple LoRAs Segmind distilled SDXL Seed Quality steps Frames Word power Style selector Strip power Batch conversion Batch refinement of images. Batch upscale & refinement of movies. Model card selector. Render-to-path selector. Render finished notification. Model Cards One-click install and uninstall dependencies. User-defined file path for generated files. Seed and prompt added to strip name. 
FEATURED POSTS
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Matt Gray – How to generate a profitable business
In the last 10 years, over 1,000 people have asked me how to start a business. The truth? They’re all paralyzed by limiting beliefs. What they are and how to break them today:
(more…)
Before we get into the How, let’s first unpack why people think they can’t start a business.
Here are the biggest reasons I’ve found:
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Tencent Hunyuan3D 2.1 goes Open Source and adds MV (Multi-view) and MV Mini
https://huggingface.co/tencent/Hunyuan3D-2mv
https://huggingface.co/tencent/Hunyuan3D-2mini
https://github.com/Tencent/Hunyuan3D-2
Tencent just made Hunyuan3D 2.1 open-source.
This is the first fully open-source, production-ready PBR 3D generative model with cinema-grade quality.
https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1
What makes it special?
• Advanced PBR material synthesis brings realistic materials like leather, bronze, and more to life with stunning light interactions.
• Complete access to model weights, training/inference code, data pipelines.
• Optimized to run on accessible hardware.
• Built for real-world applications with professional-grade output quality.
They’re making it accessible to everyone:
• Complete open-source ecosystem with full documentation.
• Ready-to-use model weights and training infrastructure.
• Live demo available for instant testing.
• Comprehensive GitHub repository with implementation details.
