Recently, OpenAI celebrated the one-year anniversary of the release of its text-to-video model, Sora. To commemorate this milestone, OpenAI has launched a remastered version of the animated short film 'Critterz'. This short film uniquely showcases Sora's astonishing video generation capabilities. It presents a side-by-side comparison, with the original 'Critterz' on the left and a brand new version entirely generated by Sora on the right. Viewers can intuitively feel Sora's powerful strength and realistic effects in video generation.

Recently, Shenzhen introduced a humanoid robot that attracted a large audience while strolling on the streets and quickly gained popularity overseas. This robot, named SE01, has a walking style, speed, and stability that closely resembles that of a human, even moving as gracefully as a model on a runway over a distance of several meters. Nvidia scientist Jim Fan expressed skepticism, suggesting that its gait seemed to be artificially generated, but upon verification, it was proven that this robot is indeed real. Zhongqing Robotics' emergence in the robotics field is remarkable.

In the AI field, talent mobility has always been a fiercely competitive arena. Recently, the job switch of Tim Brooks has drawn widespread attention. After working at Sora for only three months, he announced his move to the competitor Google DeepMind. This move is seen as a response to serious challenges faced by Sora's technology, particularly in generating speed and performance, which have been underwhelming compared to other players in the industry. Reports indicate that Sora has numerous technical issues and struggles to compete with Luma and Stabilit.

On Thursday local time in the U.S., ChatGPT, Sora, and OpenAI's API services for developers encountered another outage, lasting over four hours. OpenAI reported a significant disruption starting at 11 AM (all times referenced in this article are local to the U.S.), but by 3:16 PM, services were gradually being restored. Regular users of ChatGPT might recall that there was also an outage earlier this month. On its status page, OpenAI indicated that this major disruption was caused by issues with its upstream provider.

OpenAI recently stated that there are currently no plans to release its AI video generation model, the Sora API. The Sora model can generate highly realistic videos based on textual descriptions or reference images. During an AMA (Ask Me Anything) event with the OpenAI developer team, Romain Huet, the Director of Developer Experience at OpenAI, clearly stated that the Sora API is not currently in the plans. 'We do not have any plans for the Sora API at this time.'

Recently, OpenAI revealed during a Q&A session that there are currently no plans to launch an API for its video generation model Sora. Sora can generate relatively realistic videos based on text descriptions or reference images, attracting significant attention. However, Romain Huet, the head of the development team at OpenAI, stated that they do not plan to launch the API at this stage. He mentioned at the meeting: 'We currently have no plans for a Sora API.' This decision may be related to capacity issues.

Google has officially released its next-generation video generation model Veo2, aiming to compete with OpenAI's Sora. Google claims that Veo2 demonstrates higher realism and intricacy in video generation. This update not only enhances video quality but also improves understanding of real-world physics and the subtle nuances of human movement and expression. Google states that Veo2 has a better understanding of the physics of the real world as well as the nuances of human movement and expression.

OpenAI recently launched its video generation model Sora, but the training data for the model may contain a lot of copyrighted game content, raising concerns about legal issues. Sora can generate videos of up to 20 seconds based on user text prompts or images, supporting various aspect ratios and resolutions. At the time of its release, OpenAI mentioned that Sora's training data includes Minecraft videos, sparking curiosity about other potentially used game content. In practical tests, Sora is able to...

OpenAI's video generation tool Sora has garnered significant attention since its launch, but where it draws its expertise from has remained a mystery. Now, a corner of that mystery seems to be revealed: Sora's training data likely contains a large amount of game live streams and tutorial videos from Twitch! Sora acts like a skilled 'master of imitation', capable of generating videos of up to 20 seconds long just from text prompts or images, and can handle various aspect ratios and resolutions. In February of this year, OpenAI first publicly introduced Sora.

As OpenAI recently released its video-generating AI model Sora, it has attracted widespread attention. An in-depth investigation reveals that the training data for the model may include a large amount of unauthorized game videos and livestream content, which could pose significant legal risks for the company. Through detailed testing, researchers found that Sora is capable of generating videos in various gaming styles, ranging from scenes reminiscent of 'Super Mario Bros.' to first-person shooter graphics in the style of 'Call of Duty', and even typical styles of 90s arcade fighting games.

Today, in another significant breakthrough in the field of artificial intelligence, OpenAI's CEO Sam Altman posted on social media platform X, acknowledging that the company severely underestimated the demand for the AI video production model Sora. Sora is an AI video generation platform launched by OpenAI that can create high-quality video content from text prompts or static photos. The release of this tool marks a significant advancement in video generation technology and signifies a potential transformation in the creative industry.

OpenAI has officially released its new hyper-realistic AI video generation software, Sora Turbo, nearly ten months after its initial demonstration. Sora Turbo has undergone several significant upgrades. It is now available to ChatGPT Plus and Pro subscribers, who need to pay a monthly fee of $20 or $200. The service covers the United States and most non-EU and UK regions. Sora Turbo allows users to generate videos through text input or static images.

OpenAI announced the highly anticipated product, Sora Turbo, during today's live stream, marking a significant breakthrough in the field of generative AI for 2024. Sora Turbo's generation efficiency has significantly improved, allowing for direct generation of up to 20 seconds of 1080P video from text, making it one of the highest duration video models in the world. This model supports input of text along with images or videos, generating specific video content and making the generation results more controllable.

Recently, OpenAI revealed at the C21Media conference in London that the company’s Sora video generator is set to launch an updated version. OpenAI representative Chad Nielsen stated that this new version will support three video generation methods, including: text-to-video, text and image-to-video, and text and video-to-video, with each video lasting up to one minute. It is reported that the upgraded Sora video generator has improved in efficiency and speed, with relevant API leaks.

Since OpenAI first previewed its text-to-video AI model Sora in February this year, no specific updates have been provided. Recently, a group of testing artists involved with OpenAI's new text-to-video AI model Sora leaked early access to the model due to their dissatisfaction with the company. They released a project related to the Sora API on the AI development platform Hugging Face, using an early access authentication token to create.

Recently, researchers from ByteDance Research Institute and Tsinghua University jointly released a new study, pointing out that current AI video generation models, such as OpenAI's Sora, while capable of creating stunning visual effects, have significant flaws in understanding basic physical laws. This study has sparked widespread discussion on the capabilities of AI in simulating reality. The research team tested AI video generation models under three different scenarios: predictions under known patterns and predictions under unknown patterns.

Recently, Tim Brooks, the research head of OpenAI's Sora video generation system, announced on social media that he will be joining Google DeepMind to continue his work on video generation and the world simulator. Brooks expressed his excitement about collaborating with a talented team like DeepMind and thanked OpenAI for the wonderful two years he spent there, especially for the achievements made in the Sora project.