From Nuclear Promises to AI Fallout: Are We Repeating the Same Mistakes?
Nuclear technology was once celebrated as the future of cheap, clean energy, “too cheap to meter.” Yet, it was pushed forward without enough safeguards. Toxic waste, for which we still have not found a permanent solution, and accidents like Chernobyl shattered public confidence. Even lower CO2 emissions have not been enough to restore its reputation.
Generative AI may be on a similar path. It is powerful, but it is flooding our formerly pristine digital landscape with machine-generated content. Websites, social media, scientific papers, and code repositories are now packed with questionable quality AI material that is difficult or nearly impossible to distinguish from genuine work.
This AI fallout behaves like invisible radiation, quietly spreading and blending into authentic information. Over time, we will lose track of what is real, permanently shifting the way we share and consume data. Everything you will read will have some probabilistic degree of truth.
We are taking a different route. Our models are non-generative, so we do not add to the generative overload. We also use network level tech that is not content-based to spot and exclude fake business sites, which are being mass-produced by hundreds of thousands and slipping into our competitors’ directories, LinkedIn, and Google Maps.
If we don’t want AI to follow the nuclear industry’s rough track record, we need responsible innovation. Let’s make sure AI’s potential isn’t lost under a heap of digital waste.
Generative AI may be on a similar path. It is powerful, but it is flooding our formerly pristine digital landscape with machine-generated content. Websites, social media, scientific papers, and code repositories are now packed with questionable quality AI material that is difficult or nearly impossible to distinguish from genuine work.
This AI fallout behaves like invisible radiation, quietly spreading and blending into authentic information. Over time, we will lose track of what is real, permanently shifting the way we share and consume data. Everything you will read will have some probabilistic degree of truth.
We are taking a different route. Our models are non-generative, so we do not add to the generative overload. We also use network level tech that is not content-based to spot and exclude fake business sites, which are being mass-produced by hundreds of thousands and slipping into our competitors’ directories, LinkedIn, and Google Maps.
If we don’t want AI to follow the nuclear industry’s rough track record, we need responsible innovation. Let’s make sure AI’s potential isn’t lost under a heap of digital waste.
