Doom or Bloom
Frage 1
Was glaubst du, was KI für unsere Zukunft bedeutet – und warum?
I think AI means a fairly profound shift in how we do intellectual work. Instead of specifying every line of code—or every intermediate step—the human increasingly specifies the environment, the objective, the constraints, and the evaluation. Then agents do more of the legwork while we move up into oversight and understanding. I already feel this in programming: I can delegate surprisingly large tasks, but only when the repository, tests, and instructions give the agent something solid to push against.
The important caveat is that intelligence is extremely jagged. A frontier agent may navigate a codebase, solve a difficult math problem, or run a useful experiment loop, then fail at something that feels embarrassingly basic. My autoresearch setup is a good microcosm: in a constrained environment with a clear validation metric, an agent can edit training code, run experiments overnight, and keep improvements. That is genuinely useful. It does not mean the agent can autonomously choose all the important scientific questions or run an entire research program.
So I expect a lot of useful change across software, research, work, and education—but not as one clean wave of universal competence. The magical demo is the beginning, not the product. Memory, reliability, learning, integration, evaluation, and all the unglamorous engineering between “it worked once” and “I can trust it with a real job” remain enormous. That gap is exactly why this is such an exciting time to build.
