Yeah, that’s fair. Compute constraints are real, especially if they want to ship skills, more agentic GPTs, or proactive experiences. That stuff gets expensive fast.
But that’s also why winning developers and standardizing the ecosystem matters: it’s one of the few ways to scale
COMPUTING
-
Scaling AI: Developer Ecosystem and Compute Constraints
By
–
-
700 clawdbots for a month for the price of one Mac mini
By
–
you can literally run 700 clawdbots for a month for the price of one mac mini just get a virtual machine from http://
hetzner.com -
Lakehouse Data Modeling: Evolution Beyond Medallion Architecture
By
–
Data modeling on the Lakehouse looks different than it did a few years ago. Which warehouse patterns still hold up? What’s evolved? And how does the medallion architecture fit alongside newer, more flexible modeling approaches? This post breaks down common myths and shares
-
Humans and Machines Optimizing Reality Together
By
–
Humachineology aims to inspire creativity and innovation in shaping reality by optimizing the role of humans and machines.
-
Hardware Requirements for Running OpenClaw AI
By
–
Just to check before I order, is this enough to run @openclaw
? -
Google urged to adopt Cloud Run with exclusive Gemini model support
By
–
Google should push for a Cloud Run-powered setup where only Gemini models are supported 😛
-
Programmer’s passion for the new AI-powered world
By
–
i always loved programming but am loving the new world even more
-
Best Time to Code with AI Agents: Morning CET Insights
By
–
Absolutely, noticeable even via the API in other tools — for months now imho! Best time to code with agents is in the mornings CET.
-
Team Achieves Impressive PostgreSQL Scaling Success
By
–
the team has done an incredible job of scaling postgres:
-
API Team Delivering Intelligence Solutions Worldwide
By
–
API team working hard to deliver useful intelligence to the world