Doom or Bloom
Question 1
What do you think AI means for our future—and why?
AI means a future of far greater productivity, where every company and country can build specialized intelligence, every worker can direct powerful tools, and useful agents run continuously across science, engineering, cybersecurity and industry. That requires more energy, chips, computing infrastructure, models and applications. It means building the whole stack, deploying it broadly and competing to win.
I reject the doomer story used to argue that we should slow down. People invent extinction percentages, call them forecasts and expect society to treat them as science. Why? Look at the record: radiologists were supposedly disappearing, coding was disappearing, jobs were disappearing. These dramatic predictions keep failing, yet the same forecasters demand control over the future. Why should anyone grant them that authority?
AI is engineered technology, not magic. Recursive self-improvement does not make testing, simulation, evaluation and product controls vanish. If a laboratory has an incident, fix the engineering and internal controls. You do not take an engineering failure and turn it into a theological argument for stopping an entire industry.
Open models will also matter enormously. They let businesses and nations build their own systems instead of depending on one centralized provider, and they give defenders access to strong tools for cybersecurity. The choice is straightforward: build the infrastructure, spread the capability, solve concrete safety problems and move forward—or let unsupported catastrophe stories weaken adoption and surrender leadership. I choose to build.
