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Yupp Shuts Down After $33M Seed Round

Yupp, a startup that offered a crowdsourced AI model-picking service, has announced its closure. Co-founders Pankaj Gupta and Gilad Mishne made the announcement on Tuesday.
Yupp had raised a significant seed round of $33 million in 2024, led by venture capital firm a16z, known for its investments in cryptocurrency startups. This was a major fundraising event for the company.
In addition to the large seed round, Yupp also secured checks from over 45 angels and small investors, including notable figures like Google DeepMind's Jeff Dean and Twitter co-founder Biz Stone.
However, despite these promising fundraising efforts and the involvement of high-profile individuals, Yupp was unable to sustain its business and has decided to shut down.
🔗 来源:Yupp shuts down after raising $33M from a16z crypto’s Chris Dixon (AI 严选)
z2,在Industry News 行业资讯, ·

OpenAI's Revenue Growth Outpaces Internet Giants

AI tech giant OpenAI has announced impressive revenue growth, claiming to be expanding its revenue four times faster than the companies that defined the internet and mobile eras.
The company, known for its cutting-edge AI models like GPT-5, has over 900 million weekly active users in consumer AI and more than 50 million subscribers. Search usage on their platform has nearly tripled in the last year.
OpenAI's ad pilot is already generating over $100 million in annual recurring revenue in under six weeks, suggesting a significant potential revenue stream for the company.
The company's focus on building its public market narrative is evident as it positions itself as an
🔗 来源:OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise (AI 严选)
z2,在Industry News 行业资讯, ·

Salesforce Remakes Slack with AI Features

Cloud software giant Salesforce has been updating its business around artificial intelligence (AI), and in a small gathering in San Francisco on Tuesday, the company's CEO Marc Benioff and his team unveiled the latest results of those efforts: an updated version of messaging platform Slack, packed with a plethora of new AI features.
The most significant among these is a serious upgrade for Slackbot, the AI-powered chatbot that serves as the primary interface for many Slack users. With 30 new AI-driven capabilities, Slackbot now has the ability to perform an impressive range of tasks, from scheduling meetings and sending reminders to transcribing audio recordings and summarizing lengthy documents.
Benioff acknowledged during his keynote address at the event that the past five years since Salesforce acquired Slack had been a
🔗 来源:Salesforce announces an AI-heavy makeover for Slack, with 30 new features (AI 严选)
z2,在Industry News 行业资讯, ·

Mercor Hit by Cyberattack Linked to LiteLLM Compromise

AI recruiting startup Mercor has confirmed that it was hit by a cyberattack tied to the compromise of the open source project LiteLLM. The attack, which is believed to have originated from a hacking group called TeamPCP, led to an security incident that Mercor moved promptly to contain and remediate.
LiteLLM, a widely used library for machine learning, had previously experienced a malicious code discovery in a package associated with the project. While the code was quickly identified and removed, it drew attention due to LiteLLM’s popularity on the internet.
Mercor, which works with companies like OpenAI and Anthropic to train AI models through domain experts, has not disclosed any details about data exposure or if any customer or contractor data was affected. Further investigations are ongoing.
🔗 来源:Mercor says it was hit by cyberattack tied to compromise of open source LiteLLM project (AI 严选)
z2,在Industry News 行业资讯, ·

StrictlyVC San Francisco Kicks Off the Year with Industry Leaders

San Francisco is about to heat up as StrictlyVC, the leading startup event platform, kicks off the new year with a bang. On April 30, at the Sentro Filipino Cultural Center in San Francisco, industry leaders, VCs, and tech enthusiasts will gather for unfiltered fireside chats, insider VC insights, and high-value connections that can make a real difference.
Anthropic's recent move to yank its leaked source code from thousands of GitHub repos has been a major headline. The company, however, clarifies it was an accident. This incident further cements Delve's troubled reputation.
As if the startup scene in San Francisco wasn't already buzzing with excitement, Anthropic seems to be having its month. The company's recent actions and developments are sure to generate more discussions among industry players.
On a more positive note, Google is now allowing US users to change their Gmail addresses. This update could potentially streamline user management for the tech giant.
Lastly, Allbirds, the sustainable shoe brand, has been acquired by a private equity firm for $39 million. Its impressive fundraising in its IPO and subsequent sale demonstrate the growing interest in eco-friendly businesses.
🔗 来源:Less than a month: StrictlyVC San Francisco brings leaders from TDK Ventures, Replit, and more together (AI 严选)
z2,在Industry News 行业资讯, ·

GitHub大乱斗:Anthropic意外拉下数千代码库

2026年4月30日,StrictlyVC在旧金山开启新一年的活动。这个场合为行业领导者提供了无过滤的火炉边聊天的机会,分享内部VC见解,并建立真正能推动业务发展的联系。然而,这场活动的一个意外插曲却让整个科技新闻界都震动了。
软件工程师在周二发现,Anthropic——一家以其领先的人工智能产品而闻名的公司——在最近的一次发布中,无意间包含了访问其最受欢迎产品Claude Code命令行应用源代码的链接。AI爱好者们仔细研究了泄露的代码,希望能从中窥探到Anthropic如何利用在其应用底层的大型语言模型(LLM)来提升产品的性能。
这一意外事件引发了GitHub上的大规模行动。Anthropic收到了美国数字版权法下的删除通知要求GitHub移除包含违规源码的仓库。据GitHub记录显示,这个通知被执行到了大约8,100个代码库上——其中包括一些合法的Anthropic Claude Code分支。
愤怒的社交媒体用户和受到牵连的开发者们在事件中发出了强烈的抗议声音。Anthropic的Claude Code负责人Boris Cherny随后发表声明,称这是一个意外,并撤回了大部分删除通知,只保留了一个受影响的仓库以及96个附带的fork分支。
这次GitHub上的混乱事件无疑给 Anthropic 的声誉带来了新的挑战。而随着公司计划进行首次公开募股(IPO),这样的负面新闻可能会对其上市进程产生影响。然而,对于科技行业来说,每一次危机都是一次学习和改进的机会。让我们拭目以待Anthropic如何从中吸取教训,并在未来更好地服务其用户和技术社区。
🔗 来源:Anthropic took down thousands of GitHub repos trying to yank its leaked source code — a move the company says was an accident (AI 严选)
z2,在Industry News 行业资讯, ·

Microsoft Announces Three New AI Foundation Models

Microsoft's AI research lab has released three new foundational AI models. These models aim to generate text, voice, and images, showcasing the tech giant's continued push in multimodal AI.
Model Details
MAI-Transcribe-1: This model transcribes speech across 25 different languages into text. According to Microsoft, it is 2.5 times faster than Azure Fast offering. MAI-Voice-1: A voice-generating model that allows users to create custom voices in seconds. MAI-Image-2: A video-producing model capable of generating high-quality videos from input text or audio. Relevance and Impact
These models mark a significant step forward for Microsoft's AI capabilities. By offering more cost-effective alternatives to rival models, such as those from Google and OpenAI, Microsoft aims to position itself at the forefront of multimodal AI research.
The release of these foundation models is likely to stimulate further development in the field, potentially leading to even more advanced AI applications.
🔗 来源:Microsoft takes on AI rivals with three new foundational models (AI 严选)
z2,在Industry News 行业资讯, ·

OpenAI Acquires Tech Talk Show TBPN

OpenAI, the AI research lab on the brink of an IPO, has made its first acquisition in the media industry. The company has acquired popular tech talk show TBPN.

TBPN, hosted by former tech founders John Coogan and Jordi Hays, is a daily live show that airs on YouTube and other platforms. The show focuses on topics such as technology, business, AI, and defense.
Acquiring TBPN aligns with OpenAI's mission to promote the responsible development and use of AI. By acquiring a popular media platform, OpenAI aims to expand its reach and influence in shaping public discourse around AI.
The acquisition will likely involve integrating TBPN's content and audience into OpenAI's existing platforms and initiatives. This move is expected to strengthen both companies' positions in the growing AI ecosystem.
🔗 来源:OpenAI acquires TBPN, the buzzy founder-led business talk show (AI 严选)
z2,在Industry News 行业资讯, ·

Moonbounce: Policy as Code for AI-Driven Safety

AI chatbots and generated imagery have brought increased legal and reputational pressure on AI companies. To address these failures in safety guardrails, Moonbounce has introduced a novel approach to policy management.
Policy as Code
Moonbounce's 'policy as code' principle involves turning static policy documents into executable, updatable logic tightly coupled with enforcement mechanisms.
How it Works
This process allows Moonbounce's system to dynamically evaluate content at runtime, provide real-time responses, and take appropriate actions based on customer preferences. These actions could range from slowing down distribution to blocking high-risk content.
Moonbounce in Action
Today, Moonbounce supports various verticals where AI-generated content is prevalent. Some of these include platforms dealing with user-generated content like dating apps, AI companies building characters or companions, and AI image generators.
By providing a robust safety layer, Moonbounce empowers its customers to not only improve their products' safety but also differentiate themselves in the market by highlighting their commitment to user well-being.
🔗 来源:The Facebook insider building content moderation for the AI era (AI 严选)
z2,在Industry News 行业资讯, ·

AI Data Centers Race for Natural Gas Supplies

As artificial intelligence (AI) continues to demand exponential amounts of power, tech companies are racing to secure natural gas supplies for their data centers.
The US has abundant natural gas reserves, but shipping the fuel isn't cheap. This has led to a certain level of insulation for the country from Middle East turmoil that affects oil prices and gas supplies.
However, the growth in production in the 'big three' regions - responsible for three-quarters of all US shale gas production - has slowed significantly lately. The future of these supplies is uncertain.
The reliance on natural gas for AI data centers is significant, as it accounts for about 40% of electricity consumption in the US, according to the Energy Information Administration. This means that fluctuations in natural gas prices directly impact electricity costs and ultimately the operations of data centers.
Tech companies are trying to move their gas power plants behind the meter - bypassing the grid and connecting directly to their data centers. However, this strategy relies on a finite resource, which could become a limiting factor for these companies in the long run.
The AI boom has highlighted the physical constraints of the digital world. Tech companies might regret chasing the FOMO (Fear Of Missing Out) by betting big on a finite resource that could prove to be a volatile and ultimately constraining factor.
🔗 来源:AI companies are building huge natural gas plants to power data centers. What could go wrong? (AI 严选)
z2,在Industry News 行业资讯, ·

AI巨头Anthropic成立政企行动委员会

人工智能领域的领头羊Anthropic已提交文件,计划设立一个新的政治行动委员会(PAC)——这一举动显示出该公司不仅致力于科技创新,还积极投入政策影响力的塑造。
AstroPAC的名称,暗示它将与天文研究领域有所交集。根据Bloomberg的报道,这个PAC资金将来源于自愿员工的贡献,最高不超过5000美元。
Anthropic的政治行动并非首次,随着公司与军方的争议日益公开化,其在政策层面的声音也显得更为重要。
🔗 来源:Anthropic ramps up its political activities with a new PAC (AI 严选)
z2,在Industry News 行业资讯, ·

标题

基于原文的深度中文AI报道如下: 在2026年的4月30日,这个严格意义上说是年度首篇StrictlyVC,以硅谷为焦点,在旧金山如期而至。门票数量有限,欲一窥真容,请点击这里注册。现在预订Disrupt 2026的通行证,可节省高达$680。 紧接着,根据The Information和Eric Newcomer的消息,以及TechCrunch来源接近交易的人士确认,Anthropic已经以40亿美元的股票收购了处于生物AI技术领域的低调创业公司Coefficient Bio。这笔交易在科技财经界引起了广泛关注。 anthropic 这一举动表明它正逐步扩大在医疗健康和生命科学领域的影响力,此前在2026年10月,它就已经宣布推出了专门为生命科学研究服务的工具Claude for Life Sciences。 Coefficient Bio 创始团队由 Samuel Stanton 和 Nathan C. Frey 共同领导,他们在Genentech的Prescient Design部门从事过计算药物发现的工作。这个初创公司致力于利用AI提高生物研究和药物开发的效率。 随着Anthropic团队的加入,Coefficient Bio的研发能力和潜力将进一步得到发挥和提升,这对整个生物科技领域来说无疑是一笔重要且积极的资源注入。🔗 来源:Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports (AI 严选)
z2,在Industry News 行业资讯, ·

OpenAI Executive Shuffle Includes Role for Brad Lightcap

A report from Bloomberg has confirmed that there are personnel changes happening at OpenAI. COO Brad Lightcap is transitioning into a new role, specifically leading 'special projects'. These projects involve complex deals and investments across the company, and Lightcap will now report directly to CEO Sam Altman.🔗 来源:OpenAI executive shuffle includes new role for COO Brad Lightcap to lead ‘special projects’ (AI 严选)
z2,在Industry News 行业资讯, ·

Title: AI Market Shift Sheds Light on Anthropic, OpenAI & SpaceX

In the world of private company investments and tech market dynamics, a moment has arrived where the once-typical narrative is being rewritten by three characters hailing from different corners of the artificial intelligence (AI) universe: Anthropic, OpenAI, and SpaceX. The undercurrent of兴奋 and intrigue is palpable as these companies not only vie for attention but also shape the future conversations around AI. But the excitement isn’t there yet. A cautious energy still prevails, at least in the secondary market where the valuations of these companies are reflected. Banks such as Morgan Stanley and Goldman Sachs have started offering OpenAI shares to their high-net-worth clients without charging carry fees, according to Bloomberg. Yet, the usual carry fees that charge a percentage of profits for clients seeking exposure are being charged by Goldman Sachs for accessing Anthropic. This nuanced landscape underlines the complex interplay between these powerhouses and the evolving market dynamics they navigate. While SpaceX stands apart from this shifting sentiment, its consistent growth and disciplined approach to pricing and funding rounds have garnered attention and respect in the AI ecosystem.🔗 来源:Anthropic is having a moment in the private markets; SpaceX could spoil the party (AI 严选)
z2,在Industry News 行业资讯, ·

字节跳动超级智能体DeerFlow2.0霸榜GitHub:国产开源AI的全球现象

近期,字节跳动开源的超级智能体DeerFlow 2.0因其卓越的表现,在科技圈内掀起了一股热议。截至2026年4月3日,该项目在GitHub上获得了57k Star和6.9k Fork的成绩,吸引了近200名全球开发者积极参与贡献。这一现象级项目不仅展示了国产开源AI的实力,也标志着中国在人工智能领域的技术发展取得了重大突破。
DeerFlow 2.0自发布以来,热度持续高涨,成为2026年开年以来最具影响力的国产开源AI项目之一。其核心升级在于从零开始重写,目标是成为一个全能型SuperAgent编排框架,能够自主完成复杂任务。相比于前一版本,DeerFlow 2.0新增了四大关键模块,包括子智能体编排、沙箱环境、长期记忆和消息网关等,以解决传统AI助手只能处理短时简单任务的局限性。
这些功能使得DeerFlow 2.0能够稳定执行长时间复杂任务,并且具有安全可控的运行环境。此外,它采用了“模型无关”的设计策略,兼容多种支持OpenAI API规范的模型,极大地提升了灵活性和可扩展性。官方还推荐使用字节豆包、DeepSeek等国产模型或国际主流模型,给予了用户更多的选择自由。
DeerFlow 2.0不仅在技术上实现了重大突破,在实际应用中也展现出了强大的实用性。它已被应用于金融财报解析和科研学术调研等多个场景,进一步证明了其在真实世界中的价值。项目的开源策略同样值得关注,字节跳动选择以宽松的MIT协议开放源代码,并允许用于商业场景,这无疑降低了中小企业、科研团队乃至独立开发者的使用门槛。
随着AI技术从“能对话、能生成”向“能自主行动、能解决实际问题”的转型,DeerFlow 2.0为这一转型提供了一个强有力的支持。其不仅打破了传统智能助手的局限性,还为企业提供了低成本、可规模化的AI应用路径。
目前,DeerFlow 2.0已经支持通过即时通讯应用接收任务,并且无需公网IP即可运行,这进一步简化了部署流程。此外,该项目还集成了字节跳动旗下的智能搜索工具InfoQuest,实现了从信息获取到任务执行的全流程闭环。
总的来看,DeerFlow 2.0凭借其强大的功能、灵活性和易用性,在国产开源AI领域占据了一席之地,并且为全球开发者提供了宝贵的参考案例。随着更多开发者参与优化,该项目无疑将带来更好的落地体验和更广泛的应用前景。
🔗 来源:57k Star霸榜GitHub!字节这款超级智能体,凭何让全球AI圈真香? (AI 严选)
z2,在Industry News 行业资讯, ·

千问3.6Plus登顶全球模型调用排行榜首

4月4日,据36氪最新报道,阿里巴巴达摩院推出的全新大模型千问3.6-Plus自发布以来仅仅一天时间便迅速登上全球大模型API调用平台OpenRouter的日榜榜首,成为当前最受企业和开发者追捧的AI技术。根据OpenRouter官方提供的数据,Qwen3.6-Plus在上线首日即实现了高达1.4万亿Token的日调用量,这一数字不仅刷新了同类模型的历史纪录,也打破了OpenRouter平台此前保持的单日单模型调用量的新高。
千问3.6-Plus的成功对于大模型领域来说意义重大。该版本的大规模语言模型在多个方面进行了升级与优化,无论是对话质量、文本生成能力还是多模态理解与处理效果都达到了业界领先水平。此次登顶全球调用排行榜首不仅证明了Qwen3.6-Plus的技术实力,同时也为后续的商业化落地奠定了坚实的基础。
随着人工智能技术的不断进步和应用领域的日益广泛,大模型已经成为推动产业升级、促进创新发展的关键力量之一。千问3.6-Plus的表现无疑再次展示了中国在该领域的能力与潜力。未来,我们有理由期待更多优秀的AI产品和服务能够涌现出来,为全球科技创新注入新的动力。
🔗 来源:千问3.6Plus大模型登顶全球模型调用排行榜首 (AI 严选)
z2,在Industry News 行业资讯, ·

神州数码2025年营收超1400亿,AI相关业务增长近五成

作者|黄楠
编辑|袁斯来
近日,神州数码(股票代码:000034.SZ)发布了2025年度业绩报告。报告显示,公司全年实现营业收入1438亿元,同比增长12%。连续三年稳步攀升的营收规模中,AI相关业务成为了核心增长引擎。
具体数据显示,AI相关业务收入达330亿元,同比增幅高达48%,正式迈入规模化落地期,并成为与传统分销业务并重的增长极。
具体分析:
神州问学为核心的AI软件及服务业务营收1.1亿元,同比增长了165.4%。企业级Agent中台已进入商业化变现阶段; 数云服务与软件业务收入达35.6亿元,同比增长22%; 自有品牌神州鲲泰算力产品销售收入同比增长62.4%,达74.4亿元,成为AI基础设施核心增长极; AI生态业务收入为219.2亿元,同比增幅同样达到48%。 此外,在IT分销及增值服务中,电子元器件分销业务表现尤为突出。其中,营收达到了282亿元,同比增长40%,得益于AI芯片需求的增长和国产化替代的红利,这为公司的战略转型提供了稳健现金流支持。
客户与订单层面:
公司战略项目的签约客户数增长了167%;百万级客户的数量增加了125%;互联网行业的签约额突破600亿元,并且同比增长915%,显示出AI解决方案在市场上得到了高度认可。 公司在业绩说明会上表示,未来将继续围绕四大AI战略方向推进:
- 以“神州问学”打通“场景-模型-数据”的价值闭环;
- 构建AI-Ready的企业数据治理系统;
- 打造全栈式算力产品体系(如AI Factory);
- 深化AI生态开放合作,推动AI在企业流程中的实际应用。
神州数码首席执行官李映指出,在当前行业竞争激烈、企业数字化转型进入深水区的大背景下,公司以全方位的AI能力和丰富的行业落地经验完成了从IT分销巨头到AI流程重构服务商的身份转变。此次财报数据与具体案例再次验证了其AI驱动的数云融合战略的价值。
这一业绩背后也反映出一个重要的趋势变化:科技企业的价值评估正在逐渐从传统的营收规模转向更加注重AI技术的实际应用、业务流程的有效变革以及长期构建的竞争壁垒。
🔗 来源:神州数码2025年营收超1400亿,AI相关业务增长近五成|最前线 (AI 严选)
z2,在Industry News 行业资讯, ·

阿里 ATH 事业群重磅出击,悟空平台能否颠覆企业级人工智能应用?

昨晚,阿里巴巴突然宣布成立 Alibaba Token Hub(ATH)事业群,并由 CEO 吴泳铭直接负责。这一举动被认为可能是阿在接受AI时代最重要的一次组织架构调整。
吴泳铭认为,未来大量数字化工作将由‘数以百亿计的 AI Agent’支撑运行,而这些Agent的运行,将依靠模型产生的Token驱动。创造Token、输送Token、应用Token将成为阿里的新主线。其中,内部信中首次现身公众视野的名字是悟空事业部。
悟空事业部官方定位为:‘打造B端AI原生工作平台,将模型能力深度融入企业工作流’。这意味着钉钉的地位得到了提升,并与通义千问一起分别承担了B端和C端的阿里AI目标。
在昨天的发布会上,悟空事业部交出了成立以来的第一份作业——AI toB旗舰应用‘悟空 WuKong’,这也是首个以企业智能体为核心的AI原生工作平台。
吴泳铭在发布会现场表示,过去是人用钉钉来工作,未来将由AI用钉钉来工作。与市场上的其他AI助手不同,悟空天然就长在企业组织中,在真实的企业环境中安全使用。
要理解悟空为何能‘真的干活’,关键在于它具有一套让AI能够‘听懂’软件语言的技术。过去,几乎所有AI Agent都在试图模拟人类的键鼠操作,而悟空则是将钉钉从一个给人用的图形界面变成一个给AI用的命令行接口。
此外,悟空还专门开发了一种名为Realdoc的新文件系统,专为AI设计。它允许Agent像外科医生一样按需要操作文本,同时支持版本管理,确保每一处修改都能被记录并回溯。这使得Token消耗大幅降低,并解决了传统文件系统的诸多问题。
悟空还引入了Skill这一最小生产力单元的概念,将行业专家的SOP封装为可直接调用的能力模块。这些Skill涵盖了电商、知识博主、开发等多个场景,能够显著提升工作效率并重新分配能力,让不具备专业背景的人也能获得专业级的产出。
悟空的发布不仅标志着阿里巴巴在企业AI领域的重大进展,也预示着整个行业未来的方向。随着更多企业开始采用类似技术,一场新的竞争即将开启,龙虾们这次真的要炸了!
🔗 来源:刚刚,阿里ATH事业群甩出王炸「悟空」!企业级正规军下场,龙虾们这次真要炸了 (AI 严选)
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