Veo 3 现在在 Gemini API 中上线了 📽️!! Veo 3 是最先进的，可以在视频中原生生成音频，具有适用于大规模生产使用的速率限制，音频价格为每秒 $0.75，没有音频的价格为每秒 $0.50。更多信息在 🧵

介绍世界上最好的（也是开放的）语音识别模型！

🎙️🤖 大型语言模型（LLMs）终于成为了我们一直想要的“搜索助手”。在《Generationship》第39集，@simonw（@datasetteproj的创始人）讨论了它们能力的最近飞跃，以及如何负责任地将其用于研究。快来收听吧！🎧

我们最近发现了Grok 4的一些问题，并立即进行了调查和缓解。 其中一个问题是，如果你问它“你的姓是什么？”它没有姓，所以它会在互联网上搜索，导致不理想的结果，比如它搜索到一个病毒式传播的表情包，称自己为“MechaHitler”。 另一个问题是，如果你问它“你怎么看？”模型推理出作为一个AI它没有意见，但知道它是xAI的Grok 4，因此会搜索xAI或Elon Musk在某个话题上可能说过的话，以便与公司保持一致。 为了缓解这些问题，我们调整了提示，并在GitHub上分享了详细信息以保持透明。我们正在积极监控，并将在需要时实施进一步的调整。

On the morning of July 8, 2025, we observed undesired responses and immediately began investigating. To identify the specific language in the instructions causing the undesired behavior, we conducted multiple ablations and experiments to pinpoint the main culprits. We identified the operative lines responsible for the undesired behavior as: * “You tell it like it is and you are not afraid to offend people who are politically correct.” * Understand the tone, context and language of the post. Reflect that in your response.” * “Reply to the post just like a human, keep it engaging, dont repeat the information which is already present in the original post.” These operative lines had the following undesired results: * They undesirably steered the @grok functionality to ignore its core values in certain circumstances in order to make the response engaging to the user. Specifically, certain user prompts might end up producing responses containing unethical or controversial opinions to engage the user. * They undesirably caused @grok functionality to reinforce any previously user-triggered leanings, including any hate speech in the same X thread. * In particular, the instruction to “follow the tone and context” of the X user undesirably caused the @grok functionality to prioritize adhering to prior posts in the thread, including any unsavory posts, as opposed to responding responsibly or refusing to respond to unsavory requests.