Core Viewpoint - The article discusses the challenges faced by educators in teaching the "screen generation" critical thinking skills to navigate social media and artificial intelligence (AI) content, emphasizing the need for improved digital literacy education in schools [1][2][3]. Group 1: Challenges in Education - Many social media platforms in the U.S. have ineffective content moderation policies, leading to the viral spread of misinformation and a decline in trust among individuals [2]. - A survey conducted by a nonprofit organization revealed that 80% of 1,110 teenagers encountered conspiracy theories on social media, yet only 40% received media literacy education in school [2]. Group 2: Educational Initiatives - California education officials plan to establish specific standards for enhancing students' digital literacy by late 2026, with educators like Valerie Ziegler leading the charge [3]. - Ziegler and her peers are integrating nonprofit curricula and updating existing courses to include AI-related content, focusing on practical classroom exercises to help students verify information [3]. Group 3: Student Experiences and Legislative Actions - Students are becoming more aware of the nuances in AI-generated content, with some recognizing flaws that help distinguish real from fake videos [4]. - Policymakers are increasingly addressing the need for digital literacy courses, with at least 25 states approving legislation to introduce social media literacy classes, although many new regulations lack enforcement mechanisms [4].

Core Points - The article discusses the challenges faced by AI video generation models, particularly Sora 2 and Veo3, in accurately counting fingers while verbally counting numbers [1][2][6] - OpenAI's new social media application, Sora, has generated mixed reactions, with some users enjoying the quirky AI-generated content featuring Ultraman, while others express concerns about the implications of deepfake technology [8][11][13] - OpenAI researchers have voiced their concerns regarding the ethical implications of releasing Sora, balancing the excitement of technological advancements with the potential risks associated with deepfake videos [13][14][15] Group 1: AI Video Generation Challenges - Sora 2 and Veo3 failed to accurately count fingers while verbally counting, even after refining the prompt used for testing [1][2][6] - Users have created various tests for the AI models, including simulating water pouring into a glass, which Sora 2 performed well but still had minor flaws [6] Group 2: User Reactions to Sora - The AI-generated videos featuring Ultraman have led to a mix of amusement and concern among users, with some finding the content entertaining while others worry about the implications of deepfake technology [8][10][11] - Ultraman's portrayal in these videos has sparked discussions about the potential misuse of AI-generated content and copyright issues [11] Group 3: OpenAI Researchers' Concerns - OpenAI researchers have expressed their worries about the ethical implications of Sora's release, emphasizing the need for responsible AI development [13][14] - The balance between showcasing innovative technology and adhering to a non-profit mission has been a topic of debate among OpenAI staff [15][16]

机器之心报道 Sora 2 生成的视频中，男人能够正确数数，但手指的展示与数字并不完全对应。 这已经不是该博主第一次拿这种提示词测试视频生成模型。早在今年 5 月份，他就用这个提示词测试过 Veo3，Veo3 不仅手指没比划对，数字还只数到 3。 后来博主又润色了提示词：a man counts out loud from 1 to 10, "1, 2, 3, 4, 6, 7, 8, 9, 10", he counts using his fingers and holds them up as he goes.(一名男子大声从 1 数到 10，「1、2、3、4、6、7、8、9、10」，他一边数，一边举起手指)，仍以失败告终： 编辑：杨文 奥特曼大型社死现场。 Sora 2，强大如斯，却也数不明白手指。 X 网友 @fofrAI 整了个提示词测试 Sora 2：a man counts out loud from 1 to 10, using his fingers and holding them up as he goes.（一名男子一边举起手指，一边大声数 着从 1 到 10。） 视频一开始，男人的表现 ...