With this subject, we wished to rejoice our milestone as a publication with out dwelling an excessive amount of on our personal previous. Victory laps are for race automobiles, not magazines. As a substitute, we determined to attempt to use historical past as a approach to discover what issues might appear like over the following 125 years.
The longer you report on tech, the extra you understand how typically we get the longer term incorrect. Predictions have a manner of not coming true. The issues that appear so clear now can shift and alter, rearranging themselves into wholly new types we by no means considered.
But in addition, predictions that we snicker off as having been so incorrect typically have a manner of coming true finally. All through this newest version of MIT Know-how Evaluate you’ll discover a few of our greatest bets as to what the longer term might maintain. We might not get it precisely proper, however we predict we’re not less than pointing towards the place issues are headed.
Right here’s a choice of a few of the most fascinating tales from the journal:
+ What the longer term and its rising applied sciences maintain for these born as we speak, from clever digital companions for all times, to digital first dates.
+ What the uncommon earth metallic neodymium reveals us about our clean-energy future, and the assets we’ll must create and keep it.
+ Delve into the challenges archivists face as they attempt to protect details about our present lives for these dwelling far off sooner or later.
+ Why it’s trying probably that one thing will probably be developed within the coming a long time that can assist us reside longer, in higher well being.
+ Learn our investigation into the methods we might all play God within the coming years, because of the flexibility to change our very DNA.
+ How the rise of AI porn might change our expectations of relationships.
MIT Know-how Evaluate Narrated: An AI startup made a hyperrealistic deepfake of me that’s so good it’s scary
An AI startup created a hyperrealistic deepfake of MIT Know-how Evaluate’s senior AI reporter Melissa Heikkilä that was so plausible, even she thought it was actually her at first. This expertise is spectacular, to make certain. However it raises large questions on a world the place we more and more can’t inform what’s actual and what’s pretend.
