The petition accuses the school of promoting OpenAI's ChatGPT, which 'steal the art of [tens of thousands] of artists and rot the essence of the industry and have devastating consequences on the environment all to create facsimiles of real human art.'
Google aims to enhance the image generation capabilities of Nano Banana 2 by utilizing personalized data from users' Google accounts, including their YouTube history and Google Photos. This integration allows for more relevant and tailored image outputs without requiring users to provide extensive context.
By the early 1900s, player pianos had evolved to more fully reproduce a human performance, including subtle dynamics like tempo changes and the introduction of a damper pedal. The human role went from deskilled to fully deprecated as electric motors replaced foot-powered bellows. With the Seeburg Lilliputian Model L, the only job left for humans who wanted to play the piano in the 1920s was to put in a coin.
Galen Buckwalter, a 69-year-old research psychologist and quadriplegic, participated in a brain implant study to contribute to science that aids those with paralysis. The six chips in his brain decode movement intention, allowing him to operate a computer and feel sensations in his fingers again.
That type of copying is pretty normal, and they teach it in school. It's how you learn (and how you become depressed). But in the age of generative AI, there are many new kinds of copying. For instance, Wired reported last week on a tool offered by Grammarly, which briefly offered users the opportunity to put their writing through something called "Expert Review."
Semantic ablation is the algorithmic erosion of high-entropy information. Technically, it is not a "bug" but a structural byproduct of greedy decoding and RLHF (reinforcement learning from human feedback). During "refinement," the model gravitates toward the center of the Gaussian distribution, discarding "tail" data - the rare, precise, and complex tokens - to maximize statistical probability. Developers have exacerbated this through aggressive "safety" and "helpfulness" tuning, which deliberately penalizes unconventional linguistic friction.