Great, if cynical phrase: hockey stick on wheels:
“Consider a team which presents their forecasts in the form of a hockey stick graph,” said Chen on Tuesday. “They come back the next year with their revised forecasts, and they are the same as last year’s forecast, just delayed one year. If you overlay this revised hockey stick forecast on top of the previous year’s forecast, it looks like what happened is that the hockey stick slid forward one year.
Anthropic is building a PaaS.
Anthropic is building a PaaS. They’ve got isolated VM’s/containers, they’ve thought out support languages for the major languages. You can even write code in the browser…with the AI. And it checks your stuff into GitHub? Plus, of course, it runs your code for you, at least with Claude Skills.
🔗 Claude Code for web - a new asynchronous coding agent from Anthropic
You need a proxy for enterprise AI
Google Cloud suggests using a centralized proxy to mediate all communication between clients and remote MCP servers. This proxy enforces access control, audit logging, secret policies, and secure transport, helping reduce the attack surface by having one enforced point rather than many decentralized servers. In addition, Google emphasizes identifying particular risk vectors like unauthorized tool exposure, session hijacking, and weak authentication, and treating identity, transport, and policy enforcement as foundational rather than optional.
Step one in using AI in enterprises (MCP or just plain access to inference): get a proxy. It feels like this will get all your KPI’s for the next 12 months done. Stop farting around, and put one in place.
🔗 Google Cloud Outlines Key Strategies for Securing Remote MCP Servers
Can't stop hitting yourself
The problems feel like something we should have moved passed long ago. The general problems and patterns are not new. Why do they persist?
🔗 Why Up to 70% of Platform Engineering Teams Fail to Deliver Impact
A new name for the CMDB
What’s wrong with the CMDB concept, especially how it’s applied and managed.
🔗 “CMDB” Is Dead — Long Live The IT Management Graph
Lots of AI private cloud, survey
As enterprises try to figure out the benefits of AI, they’re relying on lots of private cloud:
Over half (53%) of enterprises say deploying new workloads to private cloud is among their top priorities over the next three years. 84% already run both traditional and cloud-native apps in private environments. 69% are considering repatriating workloads from public to private cloud, and more than one-third have already done so.
🔗 The AI Advantage: Running Next-Gen Workloads in Private Cloud Environments
civilization changing, or just a better ad network?
My work at OpenAI reminds me every day about the magnitude of the socioeconomic change that is coming sooner than most people believe. Software that can think and learn will do more and more of the work that people now do. Even more power will shift from labor to capital. If public policy doesn’t adapt accordingly, most people will end up worse off than they are today.” Four years later, he’s betting his company on its ability to sell ads against AI slop and computer-generated pornography.
tasty machine output
“artistic product” versus “artistic process.” Well, I guess “home made” sounds tastier than “mechanically extruded.”
🔗 judgment day
Guardrails in platforms
“Individual teams making rational decisions create organisational fragmentation.” // An overview of the impossibly fine line between restricting developers for long term agility and reliability, and giving them freedoms to perfectly solve their apps problems.
🔗 Golden Paths: One Size Does Not Fit All
This post's title is rad
A post.
Here is a man eating an apple:
I read this book a lot when I was a kid.
He has another book that was good too.
I’ve read them to my kids.
(I am using this post to test blog changes, so it is nonsense. What fun!)