aiqbench analysis
The article argues that free access to frontier AI models is no longer cost-effective due to rapid utility gains, urging users to subscribe directly from major labs. This perspective shifts the focus toward sustainable funding for advanced research and infrastructure rather than relying on ad-supported tiers or general search engines. It highlights a growing economic reality where direct payment becomes necessary to keep pace with model improvements in developed markets.
Get You a Model: If You're Not Paying, You're Missing 90% Of Improvements
I'd think this is an audience who don't need to be convinced that the mundane utility of frontier models is increasing fast, but some private discussion indicated that not everyone is convinced even among AI doomers, so here's a link. It's written mostly for an audience of normies, but this is the core claim, and I stand by it: But everyone in the developed world, everyone who uses Google search more than five times a day, should be paying for at least one [of the three big lab model subscriptions]. Discuss
I'd think this is an audience who don't need to be convinced that the mundane utility of frontier models is increasing fast, but some private discussion indicated that not everyone is convinced even among AI doomers, so here's a link. It's written mostly for an audience of normies, but this is the core claim, and I stand by it:
But everyone in the developed world, everyone who uses Google search more than five times a day, should be paying for at least one [of the three big lab model subscriptions].
But everyone in the developed world, everyone who uses Google search more than five times a day, should be paying for at least one [of the three big lab model subscriptions].
Full text under the publisher's open licence · 121 words
Related coverage
How Would We Know? Reflections on trying to make AI go well amid deep uncertainty
LessWrong · Oct 5, 2026
Continual learning might make your blocking monitors nearly useless
AI Alignment Forum · Sep 24, 2026
Salesforce after Dreamforce: How the CRM giant can grow beyond its own interface
SiliconANGLE · Sep 19, 2026
State of the Field: AI for Epistemics and Coordination
LessWrong · Oct 2, 2026