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AI能力直通搜索调用 专家评夸克健康大模型:回答简明准确
Huan Qiu Wang· 2025-05-27 03:54
【环球网科技综合报道】5月27日消息,近日夸克健康大模型在国家副主任医师职称考试中成绩超过合 格线,成为国内首个成功跨越这一门槛的大模型。此次副主任医师职称考试评测覆盖了12个常用学科, 包括全科医学、普通内科学等。 他以家长会提问的"孩子有脊柱侧弯怎么办"为例,夸克首先会分析这是孩子生长过程中出现的问题,那 么大概率可能特发性侧弯。夸克会首先建议到附近的医院做专业评估,其次针对特发性侧弯不同的情况 如何应对,康复治疗时在家可以做什么帮助恢复等,都给出了非常明确的建议。 蒋继乐认为,这样的信息平权能够有效提升医疗效率,大众有了解医学知识的权利和参与医疗决策的权 利。大众提前科学了解各种可能性,对医生来说也会降低他们很多负担,节省解释时间,极大减少非必 要的医疗需求。 蒋继乐还提到得益于夸克健康大模型的进步,在夸克上搜索医疗问题不需要刻意去考虑搜索词,简单输 入问题就能得到很好的回答。"这也是另一种类型的信息平权",他指出,就是它不再需要你有特别深的 文化背景才能问出合适的问题,降低了普通人获取信息的门槛。(勃潺) 积水潭医院脊柱外科副主任医师蒋继乐在测评后指出,过去很多医生反对大众去搜索平台找信息,原因 是传 ...
360 起诉索赔 500 万,被告程序员自称无盈利,诉讼成本一两百万,欲哭无泪…
程序员的那些事· 2025-05-24 14:26
算法爱好者 . 算法是程序员的内功!「算法爱好者」专注分享算法相关文章、工具资源和算法题,帮程序员修炼内 功。 近日,已停止运营的聚合搜索引擎 F 搜陷入法律风波,其开发者在 V 站发帖透露,F 搜被 360 起诉并索赔 500 万元。 这一消息引发了众多关注,也让人们再次将目光聚焦于搜索引擎领域的竞争。 以下文章来源于算法爱好者 ,作者小蒜 开发者自称咨询律师后发现,应对诉讼可能需要 1-2 年时间及 100-200 万元费用,而 F 搜本身并非营利项 目,无力承担这一成本。 F 搜主要通过调用谷歌和必应的搜索结果,运用自身算法进行整理,帮助用户高效获取所需内容,同时过滤掉 一些垃圾站点。2022 年,F 搜因域名被暂停解析,最终停止运营。 360 的诉求 此次 360 起诉 F 搜,一共提出了四项诉求。 F 搜开发者的回应 首先,要求 F 搜两被告立即停止不正当竞争行为,即停止实时访问、抓取、储存并使用 360 的图片搜索 数据。 其次,判令被告一在(早已关闭的)F 搜网站、(实际并不存在的)F 搜官方微信公众号以及官方新浪微 博的显著位置刊登声明消除影响,刊登时间不少于 30 日,字体为五号,显示范围全 ...
Google不革自己的命,AI搜索们也已经凉凉了?
创业邦· 2025-05-24 03:10
Core Viewpoint - Google is transitioning to AI-driven search modes to address the competitive threat posed by AI chatbots, which have significantly reduced its market share in search from over 90% to an estimated 65%-70% [7][9][31]. Group 1: Google and AI Search Transition - Google announced the launch of its AI Mode, powered by Gemini, which allows for natural language interaction and structured answers, moving away from traditional keyword-based searches [4][7]. - In 2024, Google's search business is projected to generate $175 billion, accounting for over half of its total revenue, highlighting the financial stakes involved in this transition [7]. - The urgency for Google to adapt stems from the increasing competition from AI chatbots that are capturing user traffic, prompting a strategic shift in its search approach [7][9]. Group 2: Market Dynamics and Competitor Analysis - The AI search engine Perplexity saw its user traffic grow from 45 million to 129 million, a 186% increase, but faced significant financial challenges, including a net loss of $68 million in 2024 [9][12]. - The overall funding for AI search products has decreased, with only 10 products raising a total of $893 million from August 2024 to April 2025, compared to 15 products raising $1.28 billion in the previous period [15][16]. - The competitive landscape is shifting, with established players like Google and Perplexity facing pressure from new entrants and the need for differentiation in a crowded market [31][32]. Group 3: Emerging Trends in AI Search - The trend is moving towards smaller, more specialized AI search engines that cater to specific industries or use cases, rather than attempting to replicate a general search engine like Google [17][31]. - New AI search products are focusing on niche areas such as health, law, and video content, which may provide a competitive edge against generalist platforms [34][51]. - The integration of reasoning models in AI search products is expected to enhance user experience and reduce inaccuracies, a significant improvement over previous models that struggled with "hallucination" issues [26][30]. Group 4: Financial and Operational Challenges - The financial viability of AI search startups is under scrutiny, as many are unable to convert user engagement into sustainable revenue, leading to a cautious investment environment [31][53]. - Google is exploring monetization strategies for its AI search, but there are concerns that the new AI formats may reduce click-through rates for traditional search ads [53].
Elon Musk Commits to Tesla. Is That a Good Thing?
The Motley Fool· 2025-05-24 03:01
Group 1: Tesla - Elon Musk plans to remain CEO of Tesla for at least the next five years, which is seen as positive news for shareholders [2] - Musk intends to reduce political spending, which may help mitigate brand damage Tesla has experienced due to his political involvement [2][6] - Tesla's stock has nearly doubled in the past 12 months, highlighting the importance of separating political beliefs from investment decisions [6] - The company benefits from having a singular leader like Musk, who has significant voting rights and a strong vision for the company [6] Group 2: Home Depot - Home Depot reported a 9% increase in total sales, although comparable sales were slightly down overall [8] - The company reaffirmed its full-year guidance, indicating confidence in its business despite market uncertainties [9] - Home Depot's operating margin decreased to 12.9% from 13.9% a year ago, with inventories up about 15% [9] - The company sources over 50% of its purchases from the US, providing it with flexibility in pricing amid tariff concerns [10][11] - Home Depot has a long-term track record of outperformance, with total returns up approximately 330% over the past decade [12][13] Group 3: Investment Strategies - The discussion includes the idea of creating a stock basket focused on companies that cater to consumer convenience and efficiency, such as DoorDash and Amazon [14][17] - The importance of understanding the underlying assets and strategies of ETFs, such as Vanguard's high-dividend yield ETF, is emphasized for potential investors [25][26] - The risks associated with investing in start-ups through self-directed IRAs and SAFEs are highlighted, noting the high-risk, high-reward nature of such investments [20][22]
谷歌AI反攻:股价两连涨 搜索帝国逆风翻盘?
Jin Shi Shu Ju· 2025-05-23 09:49
Core Viewpoint - Alphabet is leveraging artificial intelligence (AI) as a strategic advantage, contributing to its stock price strength, particularly following positive reactions to AI announcements at the Google I/O developer conference [2]. Group 1: Stock Performance - Alphabet's stock became one of the best performers in the S&P 500, with a notable increase of 1.9% on Thursday after initial declines earlier in the week [2]. - Following a drop of over 7% after Apple hinted at challenges to Google's search business, Alphabet's stock has recovered and is now approximately 6% above its pre-drop levels [2]. Group 2: AI Developments - Google introduced "AI Mode" at the I/O conference, described as the "most powerful AI search," featuring advanced reasoning and multimodal capabilities, which is a response to competition from OpenAI and Perplexity [2]. - Analysts from Melius Research noted that while there were initial concerns about how AI Mode would generate advertising revenue, subsequent reports highlighted its potential in various monetizable scenarios such as shopping and travel bookings [3]. Group 3: Monetization Strategies - Baird's research team expressed optimism about Google's rapid innovation in search and its focus on commercialization, suggesting that new advertising products and "agent" capabilities could enhance revenue streams [4]. - The introduction of AI Overviews and AI Mode is expected to provide more meaningful context for ads, countering concerns that AI formats might weaken core search revenue [4]. - Melius analysts raised questions about the viability of Google's subscription model for AI tools, emphasizing the need for clarity on how much users are willing to pay for AI services [5]. Group 4: Competitive Position - Evercore ISI emphasized that while there may not be a single winner in the AI race, Google has demonstrated its ability to maintain a leading position, with a reported increase of over 10% in queries containing AI Overviews in major markets [4].
搜索赛道步入“深水区”,现在的国内AI搜索玩家们都怎么样了
3 6 Ke· 2025-05-23 03:47
Core Insights - The AI search market in China has become increasingly competitive, with major players like Baidu, Quark, and Tencent entering the fray, leading to a significant shift in market dynamics [1][3][6] - Quark has emerged as a strong competitor, leveraging its association with Alibaba and achieving a daily active user (DAU) count of 34 million, challenging Baidu's long-standing dominance [3][4] - 360's Nano AI search has struggled to gain traction, with its peak DAU only reaching a few million, indicating a significant gap compared to Baidu and Quark [4][8] Market Dynamics - The AI search landscape has seen a resurgence of competition reminiscent of the past, with Quark and Baidu engaging in direct rivalry, while 360's entry has not significantly impacted the market [3][4] - Tencent has officially launched its upgraded QQ browser, incorporating AI features and positioning itself as a direct competitor to Quark, further intensifying the competition among the major players [6][7] - The lack of a clear technological barrier among the major players (Baidu, Alibaba, Tencent) suggests that differentiation will be challenging, as their underlying AI models do not exhibit significant differences [7][9] Company Strategies - 360's Nano AI search is focusing on integrating with DeepSeek and building its knowledge base, but it faces challenges in gaining visibility and user engagement [4][8] - Meita AI search and Tiangong AI are struggling to maintain relevance in the competitive landscape, with Meita's functionality being limited and facing potential exclusion from the market [4][8] - Companies like Meita are pivoting towards vertical search engines in specific sectors like law and finance, attempting to carve out niche markets to survive against larger competitors [16] Future Outlook - The AI search market is expected to continue evolving, with companies needing to establish technological barriers or focus on specialized niches to remain competitive [9][16] - The emphasis on marketing and user engagement will be crucial for companies like 360 and Meita, which are currently lagging behind in user acquisition and brand recognition [18] - The industry is moving towards a more agent-based model, with the potential for new entrants to disrupt the market if they can offer unique value propositions [17][18]
Google不革自己的命,AI搜索们也已经凉凉了?
Hu Xiu· 2025-05-23 03:23
Group 1 - Google announced the launch of an advanced AI search mode driven by Gemini at the Google I/O developer conference, moving from a "keyword + link list" approach to "natural language interaction + structured answers" [1] - In 2024, Google's search business contributed $175 billion, accounting for over half of its total revenue, indicating that the transition to AI search may impact this revenue stream [2] - Bernstein research suggests that Google's search market share may have dropped from over 90% to 65%-70% due to the rise of AI ChatBots, prompting Google to act [3] Group 2 - The entry of Google into AI search is seen as a response to the threat posed by Chatbots that are consuming traffic, indicating a challenging environment for new AI search players [4] - Perplexity's user traffic increased from 45 million to 129 million over the past year, a growth of 186%, but its actual revenue was only $34 million due to frequent discounts, leading to a net loss of $68 million in 2024 [9] - The funding landscape for AI search products has changed significantly, with only 10 products raising a total of $893 million from August 2024 to April 2025, compared to 15 products raising $1.28 billion in the previous period [12][14] Group 3 - The overall trend in AI search engines is shifting towards smaller, more specialized products, moving away from the idea of creating a new Google Search [17] - Major players like Microsoft, OpenAI, and Google have integrated AI search functionalities into their existing platforms, making it difficult for standalone AI search products to compete [18][26] - The introduction of reasoning models has improved user experience in search functionalities, but many AI search products have not differentiated themselves sufficiently, leading to a decline in user engagement [26][30] Group 4 - New AI search products are focusing on niche markets, such as health, legal, and video search, to carve out a unique space in the competitive landscape [50] - Companies like Consensus and Twelve Labs are developing specialized search engines targeting specific user needs, such as medical research and video content [32][43] - The commercial viability of AI search products remains a significant challenge, with Google exploring ways to monetize its AI search mode while facing potential declines in click-through rates for traditional ads [51]
高调公布“AI Mode”,谷歌向搜索引擎“开刀”
3 6 Ke· 2025-05-23 02:22
Core Viewpoint - The Google I/O developer conference showcased a lack of surprises, with the most significant change being the introduction of the "AI Mode" for search, which aims to fundamentally reshape how users interact with search engines [1][3]. Group 1: AI Mode and Search Engine Transformation - Google has introduced "AI Mode," allowing users to interact with Gemini AI for information retrieval, moving away from traditional blue search links [3][12]. - CEO Sundar Pichai emphasized that this represents a complete overhaul of the search process, marking a new phase in AI platform transformation [3][11]. - The shift to AI-driven search is a response to declining search usage, as users increasingly turn to AI tools for information [5][7]. Group 2: Market Dynamics and Competition - Google's search market share has reportedly fallen below 90% for the first time in a decade, prompting the need for significant changes to avoid obsolescence [5][7]. - The traditional search model, based on keywords and links, is becoming less relevant as users prefer direct answers rather than sifting through multiple links [9][11]. - The rise of AI chatbots is fundamentally altering how users seek information, with platforms like ChatGPT attracting significant user engagement [11]. Group 3: Technological Advancements - Gemini 2.5 Pro, supporting "AI Mode," offers advanced capabilities such as long context windows and enhanced reasoning, setting it apart from previous models [12]. - The core competitive advantage of "AI Mode" lies in its multimodal search technology, integrating text, images, voice, and video inputs [12][14]. Group 4: Advertising Strategy - Google plans to adapt its advertising model by labeling ads as "Sponsored" and placing them strategically within the AI dialogue to maintain user trust and engagement [14][16]. - The introduction of "Shopping Graph 2.0" aims to leverage AI for a seamless shopping experience, featuring 50 billion product nodes and real-time price updates [14][16].
国内60%AI应用背后的搜索公司,怎么看AI幻觉问题?|AI幻觉捕手
Core Viewpoint - The concept of "AI hallucination" refers to AI generating inaccurate information, which is attributed to limitations in model generation and training data, but the role of search engines in providing accurate information is often overlooked [1][3]. Group 1: AI Hallucination and Search Engines - AI hallucination is a persistent issue that cannot be completely eliminated, primarily due to the inherent problems with information sources [3][4]. - The accuracy of AI-generated responses is influenced by the quality of the information retrieved from search engines, which can also contain inaccuracies [4][6]. - The search engine's role is likened to that of a supplier of ingredients for a chef, where the quality of the ingredients (information) directly impacts the final dish (AI output) [1]. Group 2: Company Insights and Technology - Bocha, a startup based in Hangzhou, provides search services for over 60% of AI applications in China, with a daily API call volume exceeding 30 million, comparable to one-third of Microsoft's Bing [1][2]. - The company employs a dual approach of "model + human" to filter information, using a model to assess credibility before human intervention for verification [4][5]. - Bocha's search engine prioritizes "semantic relevance," allowing it to return results based on the full context of user queries rather than just keywords [6][7]. Group 3: Challenges and Future Outlook - The company faces challenges in building a large-scale index library, with a target of reaching 500 billion indexed items, which requires significant infrastructure and resources [14][15]. - The anticipated future demand for AI search services is expected to exceed human search volumes by 5 to 10 times, indicating a growing need for robust search capabilities in AI applications [14]. - Bocha aims to establish a new content collaboration mechanism that rewards high-quality content providers, moving away from traditional paid ranking systems [9][10].
评论丨AI智能体如何重构搜索战场
Core Insights - AI agents are redefining the search landscape, shifting from "machines adapting to humans" to "humans adapting to machines" [2] - The emergence of AI large models has disrupted the traditional search market, previously dominated by giants like Google and Baidu [2][3] - The competition in the search industry is evolving towards "mind share" rather than just "traffic share" [3][4] Industry Dynamics - The competition is characterized by intensified technological stratification, with leading firms leveraging computational power and data advantages to create barriers [3] - Ecosystem competition is heating up, as traditional search engines integrate their content ecosystems to maintain dominance [3] - The value of entry points is being redefined, with AI search evolving from a tool to a traffic entry point [3] User Behavior Changes - Google search volume in Safari has declined for the first time in 20 years, while user numbers for startups like Perplexity are surging [4] - Apple's plans to integrate third-party AI search in Safari indicate a potential erosion of traditional search engine dominance [4] Business Model Evolution - The traditional advertising model in the search industry is being challenged, with subscription and enterprise services emerging as new directions [5] - Search results are evolving from "webpage lists" to "knowledge products," enhancing the added value of AI search [5] Challenges Ahead - There are significant challenges, including technical bottlenecks, ethical risks, and the need for ecosystem collaboration [6] - AI hallucination issues persist, particularly in handling ambiguous semantics [6] - Data privacy and algorithmic bias are critical ethical concerns as AI agents become more proactive in user environments [6]