LinkedIn recently began testing a dedicated reporting tool for AI slop. After only a few weeks, the company says it's already improving the quality of the posts people see in their feeds. The "seems like AI slop" button has been used more than a million times since its launch, LinkedIn's Chief Product Officer Hari Srinivasan shared in an update. "Members are now experiencing 40% less views on what we classify as AI slop from just a few weeks ago," he wrote. The company has so far been cagey in sharing exactly how it's using user-generated reports to weed out supposed slop.

'Maga is a cult of grievance that seeks to purge its enemies by demonising them through absurd and surreal propaganda' Gil Durán. 'Maga is a cult of grievance that seeks to purge its enemies by demonising them through absurd and surreal propaganda' Gil Durán. 'If we don't fight back, we don't have a future': the journalist taking on the'tech fascists' of Silicon Valley I n April, Gil Durán was permanently banned from Elon Musk's X for posting just two words. Durán was responding to a post from the tech company Palantir outlining its 22 point "technological manifesto", which praised American "hard power", western culture and AI weapons, denounced inclusivity and called for compulsory national service. Durán responded: "TLDR: Fascism" (TLDR is short for "too long, didn't read").

Instead of training asingle model that combines all the frames, we formulate the dynamic modeling problem with an incremental learning paradigm in which per-frame model difference is trained to complement the adaption of a base model on the current frame.

China's annual gala on Lunar New Year's Eve has showcased Beijing's giant leap in technology as humanoid robots took centre stage to perform a joint martial arts routine featuring several firsts. China's Spring Festival Gala, which aired on Monday on state broadcaster CGTN, has gone viral, drawing nearly half a million views on YouTube. The performance marked a stark contrast with last year's show, when robots twirled handkerchiefs and performed simple movements. The first robots to appear were Noetix's Bumi models, who performed a comedy sketch. Unitree's robots later exhibited martial arts alongside child artists, including backflips and trampoline jumps, followed by Magiclab's humanoids in a musical segment.

In these diverse real-world applications, there is often a degree of uncertainty in the input which has led to the study of stochastic matching models.

In these diverse real-world applications, there is often a degree of uncertainty in the input which has led to the study of stochastic matching models.

In contrast, ViSER is able to correctlyreconstructthedancer.

MLPs with"noencoding" struggle tofit high frequencysegments (see appendix for train details). Our workenables MLP networks toadaptivelyfitavarying spectrum offine details that previous methods struggle to capture in a single shot, without involved tuning of parameters or domain specific preprocessing.

Neural fields have emerged as a new paradigm for representing signals, thanks to their ability to do it compactly while being easy to optimize. In most applications, however, neural fields are treated like black boxes, which precludes manysignal manipulation tasks.

We propose a simple modification to grid-based models by training model heads at different spatial grid resolutions. At render time, we simply use coarser grids to render samples that cover larger volumes.