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sweet docker images

The most official WordPress image.

The bitnami dudes suck. This looks like someone stepping up to fill the void!

Chainguard has released 40+ first-party Helm Charts, forked from Bitnami, that ensure compatibility while integrating with our catalog of 1,700+ secure, minimal, and continuously rebuilt container images. These charts provide stability, security, and compliance out of the box.

Looks amazing

A simple tool to automate version bumps, changelogs, and releases using Conventional Commits.

God bless the Python Software Foundation!

We were forced to withdraw our application and turn down the funding, thanks to new language that was added to the agreement requiring us to affirm that we "do not, and will not during the term of this financial assistance award, operate any programs that advance or promote DEI, or discriminatory equity ideology in violation of Federal anti-discrimination laws."

Our legal advisors confirmed that this would not just apply to security work covered by the grant - this would apply to all of the PSF's activities.

This was not an option for us. Here's the mission of the PSF:

The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers.

If we accepted and spent the money despite this term, there was a very real risk that the money could be clawed back later. That represents an existential risk for the foundation since we would have already spent the money!

I was one of the board members who voted to reject this funding - a unanimous but tough decision. I’m proud to serve on a board that can make difficult decisions like this.

Like the post-9/11 panic, we are sure to see overzealous enforcement, false arrests, mistaken identities, unlawful confinement, misuse of the military, and the creation of a secret force. All are happening right now —up to and including arrests without charges, as I’ve reported — despite astonishingly little coverage by the major media.

Just about the only thing missing from this remastered war on terrorism is a drone assassination campaign; though the strikes on Venezuelan boats are close enough.

MacrosMap is one of the largest repositories of macronutrient data for restaurant meals in the United States. Designed for athletes, bodybuilders, and everyday health-conscious eaters, MacrosMap helps you make informed choices when dining out.

In this memo, I’ve argued that we should measure success by our impact on human welfare more than our impact on the global temperature, and that our success relies on putting energy, health, and agriculture at the center of our strategies...

1. Drive the Green Premium to zero.
2. Be rigorous about measuring impact.

Vaccines are the undisputed champion of lives saved per dollar spent. Since 2000, Gavi has spent $22 billion to immunize children in poor countries, preventing 19 million deaths. That means Gavi can save a life for a little more than $1,000. Other estimates find that vaccines cost less than $5,000 per life saved. And vaccines become even more important in a warming world because children who aren’t dying of measles or whooping cough will be more likely to survive when a heat wave hits or a drought threatens the local food supply.

MIT licensed model, their self-reported benchmarks show it performing similar to Claude Sonnet 4 (but still behind 4.5), and it's only 230GB on Hugging Face

So likely won't fit on an NVIDIA Spark's 128GB but should run on a Mac Studio 512GB

Seems about right. Interesting metrics on startups too:

• Foundation Model Labs: Revenue must grow faster than Compute Costs.
• Enterprise AI Platforms: High Gross Retention because of high AI Feature Adoption.
• Application Layer: Net Revenue Retention (NRR) > 120% and CAC Payback < 12 months.
• Inference API Players: High Revenue per GPU-Hour (pricing power).
• Energy/Infrastructure: Structural Energy Cost Advantage and high utilization.

Energy infrastructure, unlike GPUs that become obsolete in five years, compounds in value over decades.

Consider the math: A single large AI training cluster can require 100+ megawatts of continuous power — equivalent to a small city. The United States currently generates about 1,200 gigawatts of electricity total. If AI compute grows at projected rates, it could demand 5-10% of the nation’s entire power generation within a decade.

And unlike fiber optic cable or GPU clusters, power infrastructure can’t be deployed quickly. Nuclear plants take 10-15 years to build. Major transmission lines face decades of regulatory approval. Even large solar farms require 3-5 years from planning to operation.

The companies prepping themselves to survive scarcity aren’t just stockpiling compute—they’re building root systems deep enough to tap multiple resources: energy contracts locked in for decades, gross retention rates above 120%, margin expansion even as they scale, and infrastructure that can flex between training and inference as market dynamics shift.

Interesting

Open source doesn’t just mean access to the source code. The distribution terms of open source software must comply with the following criteria:

1. Free Redistribution
2. Source Code
3. Derived Works
4. Integrity of The Author’s Source Code
5. No Discrimination Against Persons or Groups
6. No Discrimination Against Fields of Endeavor
7. Distribution of License
8. License Must Not Be Specific to a Product
9. License Must Not Restrict Other Software
10. License Must Be Technology-Neutral

This has been a long time coming, and inspired by so many others. I'm so excited!