OC

YouTube将Google VEO AI视频生成工具纳入短裤

YouTube将Google DeepMind的VEO 2模型集成到其短裤平台中，使创建者可以使用文本提示来生成高清视频剪辑和背景。此更新包括可以添加到短裤中的独立AI生成的视频剪辑的新功能。该技术旨在增强创造力，同时也引起人们对内容质量和潜在滥用的担忧，从而导致垃圾内容或深层问题。YouTube最初在美国，加拿大，澳大利亚和新西兰推出此功能，并计划进一步扩展。

Spotify，YouTube，SoundCloud和更多准备AI音乐的准备如何？

AI生成的内容在社交媒体和音乐平台上的兴起引起了人们对其对人类创建材料的影响的担忧，导致诸如“死去的互联网理论”和“ AI Slop”之类的术语。法国流媒体服务Deezer引入了一个AI检测工具来解决此问题，确定10％的每日上传是完全AI生成的。但是，由于潜在的误报，这种工具的有效性值得怀疑。流媒体服务正在努力应对反对垃圾邮件，欺诈和深层制作的政策，但在定义明确的准则和保护人类创造者的权利方面面临挑战。像SoundCloud这样的平台已经采取了特定措施，以防止AI生成的内容的货币化。随着AI音乐变得越来越普遍，关于其合法性和对版权法的影响的辩论仍在继续。

Super Micro的400亿美元AI押注发送股票飞涨 - 但一个很大的风险可以改变一切

超级微型计算机（纳斯达克股票代码：SMCI）发布了预测，预计到2026财年，销售额为400亿美元，超过了华尔街的307亿美元，这是由于对AI-Optimightimightimientimed服务器的需求与NVIDIA的Blackwell B200芯片的需求所驱动。但是，该公司的2025财年收入目标从280亿美元减少到243亿美元，并错过了季度。尽管如此，Super Micro的股票上涨了7.4％，反映了投资者对长期前景的关注。该公司宣布了7亿美元的可转换票据，以支持扩展到AI基础设施，同时解决了美国司法部和SEC的财务文件延迟和调查所引起的监管问题。分析师看好超级微型在在，但投资者关注其能否克服监管障碍并实现高增长率。，但投资者关注其能否克服监管障碍并实现高增长率。超级计算机（纳斯达克：SMCI

销售团队如何使用AI一代来发现客户的需求

由于潜在客户不愿对冷宣传和现有客户不愿进行深入发现对话的反应，销售团队正在挣扎。这构成了一个挑战，因为了解客户对于确保更大的交易至关重要，但是买家不太愿意花时间与销售团队在一起。根据McKinsey Research的数据，在过去五年中，B2B买家对面对面互动的渴望已从50％下降到35％。

PIN AI启动移动应用程序，可让您在手机上制作自己的个性化，私人的DeepSeek或以Llama驱动的AI模型

PIN AI是一家从隐身模式出现的初创公司，它已启动了第一个移动应用程序，该应用程序直接在用户的智能手机上运行开源AI模型，从而确保没有第三方干扰的情况下隐私和个性化。PIN AI由哥伦比亚，麻省理工学院和斯坦福大学的专家创立，旨在通过基于区块链技术的分散基础架构来挑战Big Tech对用户数据的控制。该应用程序包括用于各种任务和开源集成的个性化AI助手之类的功能，同时维护用户数据安全性和所有权。在重要的投资者的支持下，PIN AI试图重新定义个人AI的未来，重点是隐私和个人控制。

Ligible＆camb.ai通过全球多语言有声读物访问解锁新的收入流

Ligible Inc.和Camb.ai签署了合伙协议，使用AI技术将数百万个电子书转换为160多种语言的有声读物，从而增强了读者的全球可访问性。该协作旨在创造无缝的阅读和聆听体验，降低生产成本，同时保持专业质量。该服务将通过Logible的订阅服务和应用程序作为高级附件提供，通过扩大其国际影响力并提供新的收入机会，从而使出版商和作者受益。清晰

三星说，旧设备将无法使用某些UI 7 AI功能

三星的软件负责人透露了有关一个UI 7.0的详细信息，该详细信息在两到三年中开发。一些高级功能（如NOW简介）需要现代硬件和功能强大的NPU来进行设备处理，这使得它们在较旧的Galaxy手机上无法使用。更依赖云资源的圆圈可以在不太最近的设备上运行。一个UI 7.0的完整功能尚未完成，对更新的旗舰店的排他性。

AI Chip Startup Encharge使用了Tiger Global率领的1亿美元的B系列使用此螺距甲板

Encharge AI获得了由Tiger Global领导的1亿美元的B系列融资回合，以推动其能源有效的内存计算AI芯片技术。Encharge成立于2022年，声称其芯片为当地设备而不是数据中心的推理计算提供了二十倍的能源效率。该初创公司的技术使​​用静态随机记忆（SRAM），针对汽车传感，智能零售和工业机器人技术等应用。以前的投资者RTX Ventures和Anzu Partners也参加了会议，总资金达到1.44亿美元。

Survival of the quickest: Military leaders aim to unleash, control AI Artificial intelligence (AI) is significantly accelerating military decision-making processes within NATO, reducing analysis time from hours or days to seconds. Admiral Pierre Vandier, NATO’s Supreme Allied Commander Transformation, emphasized the critical importance of adapting at speed in modern warfare, citing Ukraine as an example. Major powers are investing heavily in AI for defense purposes while attempting to restrict access to关键技术如硬件。峰会主办方法国计划在欧洲成为军事AI的领导者。AI极大加速了决策速度，改变了作战节奏。然而，25个国家签署了一份关于授权致命自主武器系统的声明，表明他们不会批准完全脱离人类控制的生命攸关决定。尽管如此，专家认为大型语言模型在未来几年内将对国家安全能力产生变革性影响，因此限制技术出口变得尤为重要。北约指挥官虽然理解人们对AI的担忧，但他指出新技术本质上并非好坏分明，关键在于使用场景。 PARIS — Artificial intelligence is massively accelerating military decision making, and armed forces that don’t keep up risk being outmatched, the NATO commander in charge of strategic transformation at the alliance said at the AI Action Summit in Paris this week. Alliance members are now using AI in the decision-making loop of observe, orient, decide and act, NATO Supreme Allied Commander Transformation Adm. Pierre Vandier, said at a conference focused on military AI. Analysis that previously took hours or days, such as processing large amounts of sensor data, can now be done in a matter of seconds, he said. “The speed of operations will dramatically change,” Vandier said at a press briefing on Monday. “You see that in Ukraine. If you do not adapt at speed and at scale, you die.” The major powers have identified AI as a key enabler for future warfare, with the U.S. spending billions on AI for defense, while trying to limit China’s access to enablers such as hardware from Nvidia. Meanwhile, summit host France says it plans to become the leader in military AI in Europe. AI brings “a huge acceleration of the speed of decision,” Vandier said. “A huge acceleration that overtakes a lot of things in our system, and the system of the enemy we intend to outpace.” Vandier made a comparison to the movie The Matrix, where the main character Neo dodges bullets by having learned to move faster than his opponent’s projectiles. “The question for us is, are we already dead? So it’s a question of speed of change.” RELATED The speediness of AI raises questions about whether having a human in the control loop improves the quality of decision making, said  Jeroen van der Vlugt, chief information officer at the Netherlands Ministry of Defence. He said AI can make decisions based on amounts of data that would be impossible for humans to manage, with analysis brought down to milliseconds. A group of 25 countries at the Paris summit signed a declaration on AI-enabled weapon systems , pledging they won’t authorize life-and-death decisions by an autonomous weapon system operating completely outside human control. Summit co-chair India didn’t sign the declaration, nor did the U.K. or the United States. “We already have militaries full of intelligent, autonomous agents – we call them soldiers or airmen or Marines,” said Gregory Allen, the director of the Wadhwani AI Center at the Center for Strategic and International Studies, a Washington-based think tank. “Just as military commanders are accountable, states are also responsible for the actions of their military forces, and nothing about the changing landscape of artificial intelligence is going to ever change those two facts.” Germany’s Helsing and France’s Mistral AI on Monday announced an agreement to jointly develop AI systems for defense. Google owner Alphabet last week dropped a promise not to use AI for purposes such as developing weapons, while rival OpenAI in December announced a partnership with military technology company Anduril. Frontier AI models will be useful in summarizing large intelligence reports and for war gaming and “red teaming,” said Ben Fawcett, product lead at Advai, which tests AI systems for vulnerabilities. “These kind of models will have a real utility in order to test commanders on how their plan will survive contact, especially if they’re able to update that based on what is the latest situation.” The first AI-based simulation tools are arriving that allow commanders to test and refine plans before putting them into action, according to Vandier. He said AI doesn’t mean fewer human decisions but faster and better ones, at least in theory. “AI is not a magic bullet,” Vandier said.”It gives solutions to go faster, better, more accurate, more lethal, but it won’t solve the war itself, because it’s a race between us and our competitors.” Vandier and Van der Vlugt mentioned the importance of AI for autonomy and robotics, particularly swarming technology, which relies on AI to work. “The scalability and autonomy part of it is really changing our landscape at this moment,” Van der Vlugt said. Success of AI depends on adoption, and Vandier has introduced a monthly learning package with required reading for officers at Allied Command Transformation in Norfolk, Virginia, after finding out his top brass didn’t know “that much” about AI. “The technology goes so fast that ultimately, we realize that managers are not necessarily up to speed,” Vandier said. “So there is really a training challenge. If you want a head of capacity development, someone who defines the capacities of tomorrow, to be good, they need to have understood what is at stake with these technologies.” Large language models over the past decade have been getting roughly 13 times better every year, and that trend is not expected to stop, meaning models might be more than 1,000 times better in three years and more than 1 million times better in 10 years, according to Allen at CSIS. “What we aren’t seeing right now is large language models generating unique insights that would be relevant to say, planning a campaign of war, fighting operations,” Allen said. “Just because they are very far away from that level of performance today doesn’t mean that they are very far away in terms of time, because performance is improving so rapidly.” Large language models will be transformative for national security capabilities, which helps explain why the U.S. stopped selling AI chips to China, according to Allen. “We see in the not too distant future, genuinely transformative AI capabilities, and it’s important that that is a party that China is not invited to.” When asked at the press briefing whether machines will take control, Vandier said he didn’t know. He mentioned the 1983 movie WarGames, in which a computer decides to trigger nuclear war, and the Terminator series of movies, whose premise includes an AI launching a nuclear attack against humanity, saying “it could happen.” The NATO commander said while fears around AI are understandable, citizens already have the technology in their pockets with smart phones. He said new technology is not inherently good or bad, what matters is the use case. “What people want when they fight is not to be all destroyed, they want to win,” Vandier said. “As it has been for nuclear arms, one day we will have to find ways to control the AI, or we will lose control of everything.” Rudy Ruitenberg is a Europe correspondent for Defense News. He started his career at Bloomberg News and has experience reporting on technology, commodity markets and politics.

Le Chat，法国猫港已经固定了AI希望

在巴黎的AI峰会上，对Mistral AI的产品产生了困惑：它是因为其猫科动物的含义而命名为Le Chat，还是作为Chatbot竞争对手的聊天机器人？该应用于2月6日启动，主要用英语和其他语言运行。但是，总统伊曼纽尔·马克龙（Emmanuel Macron）以柔和的“ sh”声音提到了它，表明猫般的品质。首席执行官亚瑟·门施（Arthur Mensch）确认勒聊天以猫的名字命名，其M形图标类似于猫的脸。o