We introduce Genie, a foundation world model trained from Internet videos that can generate an endless variety of playable (action-controllable) worlds from synthetic images, photographs, and even sketches.

Chayka argues that cultivating our own personal taste is important, not because one form of culture is demonstrably better than another, but because that slow and deliberate process is part of how we develop our own identity and sense of self. Take that away, and you really do become the person the algorithm thinks you are.
As Chayka points out in Filterworld, algorithms âcan feel like a force that only began to exist ⊠in the era of social networksâ when in fact they have âa history and legacy that has slowly formed over centuries, long before the Internet existed.â So how exactly did we arrive at this moment of algorithmic omnipresence? How did these recommendation machines come to dominate and shape nearly every aspect of our online and (increasingly) our offline lives? Even more important, how did we ourselves become the data that fuels them?
These are some of the questions Chris Wiggins and Matthew L. Jones set out to answer in How Data Happened: A History from the Age of Reason to the Age of Algorithms. Wiggins is a professor of applied mathematics and systems biology at Columbia University. Heâs also the New York Timesâ chief data scientist. Jones is now a professor of history at Princeton. Until recently, they both taught an undergrad course at Columbia, which served as the basis for the book.
For better or for worse, generative AIs continue to evolve by leaps and bounds with each passing day, a fact that has once again been proven by Googleâs DeepMind team with the reveal of Genie, a new AI-powered model capable of creating entire games from just a single image prompt. Trained without any action labels on a large dataset of publicly available Internet videos, Genie can turn any image, whether itâs a real-world photograph, a sketch, an AI-generated image, or a painting, into a simplistic 2D platformer, with the team noting that this approach is versatile and applicable across various domains. Moreover, developers highlight that this new model opens the door for future AI agents to be trained âin a never-ending curriculum of new, generated worlds.â
A Massachusetts Institute of Technology (MIT) student has created a device that allows humans to communicate with machines using our minds â and it truly is incredible.
Arnav Kapur created a device called AlterEgo, which is a wearable type of headset that allows users to communicate with technology without even speaking a word.
So how does it work?
SpaceX recently tested Starlinkâs Direct to Cell satellites and posted on Elon Muskâs X platform.
The test X post simply said: âThis post was sent through a SpaceX Direct to Cell satellite.â
SpaceXâs Director of Satellite Engineering provided more information about the X post. He revealed that the post was made under the cover of trees in a small valley in the Santa Cruz Mountains.