All of the domains are public. Whenever a new model comes out I like to ask a very specific prompt that helps me identify niche markets with high buyer urgency, have the AI rank them across a rubric, pick the one that has the highest degree of automation potential and then have it build me an MVP.
I’m not trying to shamelessly promote here but since you asked one of them is at jobwiz.biz
Claude has been buying domains and deploying to Vercel for me using aws cli, vercel cli, and gh cli since December. Personally I prefer a cli to an MCP server for this type of thing.
OpenClaw, NanoClaw, et al all use AgentSDK which will from now on be forbidden.
They are literally alienating a large percentage of OpenClaw, NanoClaw, PicoClaw, customers because those customers will surely not be willing to pay API pricing, which is at least 6-10x Max Plan pricing (for my usage).
This isn’t too surprising to me since they probably have a direct competitor to openclaw et al in the works right now, but until then I am cancelling my subscription and porting my nanoclaw fork with mem0 integration to work with OpenAI instead.
Thats not a “That’ll teach ‘em” statement, it is just my own cost optimization. I am quite fond of Anthropic’s coding models and might still subscribe again at the $20 level, but they just priced me out for personal assistant, research, and 90% of my token use case.
Fascinating Guardian profile of Song-Chun Zhu, a leading AI scientist who left UCLA for China after nearly three decades in the US. He argues that today’s AI, dominated by large neural nets and benchmark-driven research, has drifted away from the deeper pursuit of intelligence — reasoning, causality, social and physical understanding. Zhu says China offered him resources and freedom to chase these harder, less fashionable questions, while US academia felt increasingly constrained by political pressure, funding structures, and a preference for “safe” incremental work.
Raises two questions: Are we losing diversity of scientific thought by letting scale-driven AI monopolize the field? And what does it mean for global research leadership if the next big paradigm shift in AI comes from outside the US?
I don’t see gorillas.bas — that was my favorite. I actually found my appreciation for writing code modifying lines of code in that game to make bigger explosions.
I just finished listening to it on audible. It is certainly thought provoking, but full of contradictions as others have mentioned. Namely that this technology cannot be contained, and yet that it must be contained is pretty doom and gloom. The prognostications about artificial intelligence are hardly as scary as the ones made around genetic sequencing — that you can buy a device for 30k that will print pathogens and viruses for you out of your garage. That’s some scary stuff.