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When you purchase through links in our articles, we may earn a small commission. You can insert yourself into AI videos with OpenAI's new Sora 2 model There's also a new Sora app that's made for creating, remixing, and sharing AI-generated videos. OpenAI is now launching Sora 2, according to a recent announcement post . Sora 2 is the next generation of the company's AI video and audio generator, promising more realistic, physically accurate, and controllable results. Unlike previous models, which often "cheated" with physics, Sora 2 can generate more believable simulations.

OpenAI's new short-form video app, Sora, seems to have all the ingredients of a viral hit. Just hours after the app's launch on Tuesday, memes created using its AI video-generation technology were already spreading to other social networks--including, for example, a video of OpenAI CEO Sam Altman rapping from the inside of a toilet bowl. Sora's launch--complete with a TikTok style "for you" page--was something of an about-face for Altman, who had previously described social media feeds as "an example of misaligned AI," whose algorithms "are incredible at getting you to keep scrolling." Altman was quick to distance OpenAI from suggestions that it had caved to the temptation to create what he called an AI-powered "slop feed." He wrote: "The team has put great care and thought into trying to figure out how to make a delightful product that doesn't fall into that trap, and has come up with a number of promising ideas."

The following lemma justifies item 3 in Assumption 1. Consider the following two cases: 1. Density function of the policy is smooth, i.e. We then show how Theorem 4 implies Theorem 1. Assumption 3. F or all x X, there exist constants such that the following hold 1. F or all x, we have null A Now we proceed to prove the main theorem. Then, given the above convergence result on the gradient norm, we proceed to prove the convergence of NAC in terms of the function value.

The generated candidates are novel at both the molecular and chemical scaffold levels when compared to the training data.

EV tax credits are dead in the US. Federal EV tax credits in the US officially came to an end yesterday. Those credits, expanded and extended in the 2022 Inflation Reduction Act, gave drivers up to $7,500 toward the purchase of a new electric vehicle. They've been a major force in cutting the up-front costs of EVs, pushing more people toward purchasing them and giving automakers confidence that demand would be strong. The tax credits' demise comes at a time when battery-electric vehicles still make up a small percentage of new vehicle sales in the country. This article is from The Spark, MIT Technology Review's weekly climate newsletter.

Deep generative models (DGMs) are effective on learning multilayered representations of complex data and performing inference of input data by exploring the generative ability. However, little work has been done on examining or empowering the discriminative ability of DGMs on making accurate predictions. This paper presents max-margin deep generative models (mmDGMs), which explore the strongly discriminative principle of max-margin learning to improve the discriminative power of DGMs, while retaining the generative capability. We develop an efficient doubly stochastic subgradient algorithm for the piecewise linear objective. Empirical results on MNIST and SVHN datasets demonstrate that (1) max-margin learning can significantly improve the prediction performance of DGMs and meanwhile retain the generative ability; and (2) mmDGMs are competitive to the state-of-the-art fully discriminative networks by employing deep convolutional neural networks (CNNs) as both recognition and generative models.

We study the problem of inverting a deep generative model with ReLU activations. Inversion corresponds to finding a latent code vector that explains observed measurements as much as possible.

Japan's Digital Agency to cooperate with OpenAI on administrative tools The Digital Agency will enable its employees to use OpenAI's cutting-edge large language model-based AI tools for their work. The Digital Agency said Thursday that it will cooperate with OpenAI to fully use artificial intelligence technology in administrative work and service. As part of the initiative, the agency will enable its employees to use OpenAI's cutting-edge large language model-based AI tools for their work. It is also considering joint development with the U.S. company of a generative AI app for administrative use. The agency plans to provide its employees with access to generative AI tools and encourage other government agencies to adopt these services starting as early as fiscal year 2026.

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