Every small model tweak ships as another full copy of the weights, so you store and download terabytes twice for a few changed vectors. Ship the original plus the change instead – binary diff today, LoRA file tomorrow, per-request patch in the dream.
Argues GDP and income are poor measures of prosperity and proposes median personally owned, liquidatable wealth as a better indicator of how ordinary people actually live.
Argues that per-use metering destroys AI’s value by making users ration their own curiosity and experimentation, and calls for fixed-cost hardware and cheap, owned compute instead of cloud pay-per-use.
Proposes a dating app that automates matching and scheduling so users spend minimal time in-app and get guaranteed real-world dates, paid for through a subscription that only succeeds when dates are delivered.
Argues that sites blocking bots now block the humans behind AI agents too, and urges making content API-first and agent-friendly instead of deploying CAPTCHAs and bot walls.
The author argues European regulators unjustly block driver-assist features like Tesla FSD, claiming road safety comes from good infrastructure and driver responsibility, not bureaucratic permission, leaving Europeans less free than poorer countries.
Argues that since no shared meaning satisfies everyone after the death of God, humanity should build simulations letting each person shape their own reality, making universal freedom the prerequisite for collective purpose.
Argues large language models cannot be conscious because they are only lists of parameters, while any sense of experience belongs to the human who runs the calculation.
Claims automation will reduce most work to three durable decision-making skills – systems thinking, managerial oversight, and diplomacy – and argues these remain valuable regardless of technological change or societal structure.