With this problem, we wished to have fun our milestone as a publication with out dwelling an excessive amount of on our personal previous. Victory laps are for race vehicles, not magazines. As an alternative, we determined to attempt to use historical past as a option to discover what issues could seem like over the subsequent 125 years.
The longer you report on tech, the extra you understand how usually we get the longer term flawed. Predictions have a method of not coming true. The issues that appear so clear now can shift and alter, rearranging themselves into wholly new kinds we by no means considered.
But in addition, predictions that we chortle off as having been so flawed usually have a method of coming true finally. All through this newest version of MIT Know-how Assessment you’ll discover a few of our greatest bets as to what the longer term could maintain. We could not get it precisely proper, however we expect we’re not less than pointing towards the place issues are headed.
Right here’s a collection of a number of the most fascinating tales from the journal:
+ What the longer term and its rising applied sciences maintain for these born immediately, 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 have to 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 doubtless 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 could all play God within the coming years, due to the flexibility to change our very DNA.
+ How the rise of AI porn may change our expectations of relationships.
MIT Know-how Assessment 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 Assessment’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 sure. But it surely raises large questions on a world the place we more and more can’t inform what’s actual and what’s pretend.
