# Artikel Terkait Search

Pusat Berita HTX menyediakan artikel terbaru dan analisis mendalam mengenai "Search", mencakup tren pasar, pembaruan proyek, perkembangan teknologi, dan kebijakan regulasi di industri kripto.

Reddit Triples Profit to $253 Million, But Notes Search Query Volatility

Reddit reported second-quarter 2026 net income of $253 million, roughly triple the $89 million from a year earlier. Revenue surged 61% year-over-year to $805 million, marking the eighth consecutive quarter of over 60% growth. Advertising revenue jumped 64% to $762 million, driven by higher ad prices and increased impressions. The company's weekly active unique users surpassed 500 million for the first time, reaching 514.6 million. However, executives flagged a concern: traffic from search engines became volatile toward the end of the quarter, creating headwinds for converting its large audience into daily users. CEO Steven Huffman noted that "AI overviews have not yet had a similarly positive impact" on search referrals compared to traditional links. Other highlights include adjusted EBITDA rising 43% to $343 million, operating cash flow of $262 million for the quarter, and the launch of Reddit's first shareholder return program with $235 million spent on share repurchases. For the current quarter, Reddit forecasts revenue between $860 million and $870 million.

cryptonews.ru07/31 09:41

Reddit Triples Profit to $253 Million, But Notes Search Query Volatility

cryptonews.ru07/31 09:41

Earnings Beat Expectations and Cloud Business Soars, So Why Is Google Still Falling?

Despite reporting better-than-expected Q2 earnings and explosive growth in its cloud business, Alphabet's stock price fell. Key results included total net revenue of $103.6B, beating estimates, and Google Cloud revenue surging 82% year-over-year to $24.8B. However, the market reacted negatively to a significant increase in the company's 2026 capital expenditure guidance, now projected between $195B and $205B, up approximately $15B. This elevated spending is expected to result in negative free cash flow for 2026 and 2027. Other concerns include the lack of share buybacks in Q2 and a planned $40B at-the-market equity offering, which could dilute shares. While search and YouTube revenues met or slightly exceeded expectations, they showed some moderation compared to prior quarters. Bank of America maintains a "Buy" rating with a $430 price target, arguing that the increased capital investment is directly linked to strong cloud demand, as evidenced by a massive $514B backlog. At current levels, the stock's valuation is seen as attractive relative to its growth prospects.

链捕手07/24 06:54

Earnings Beat Expectations and Cloud Business Soars, So Why Is Google Still Falling?

链捕手07/24 06:54

ChatGPT Finally Can 'Search Itself': Nearly Four Years of Conversations, Retrieved with One Click

ChatGPT, nearly four years old, has long lacked a functional way for users to search their own accumulated history. This changed on July 14th, when OpenAI launched a comprehensive "Unified Search" feature across all platforms and plans. This new search allows users to find and instantly access past conversations, uploaded documents, generated images, and projects within their own ChatGPT account, all from a single sidebar entry. This update signifies a major shift in ChatGPT's role, transforming it from a transient chat tool into a personal knowledge base or "file system" for users' AI-generated content. It completes a critical missing piece as OpenAI expands ChatGPT's capabilities with features like Projects, Memory, Work, and Sites, aiming to make it a central hub for work and creativity. The ability to easily retrieve years of personal data makes that data more valuable as a unique, irreplaceable asset in the AI era. However, it also highlights the increasing weight and potential sensitivity of this data, given default settings that allow conversations to be used for model training and legal precedents involving user logs. While a significant improvement over the previous ineffective search, this move is seen as addressing an industry-wide oversight. As the competition between AI assistants (ChatGPT, Gemini, Claude) moves beyond raw model power, the new battleground is becoming which platform can best organize, retain, and leverage the valuable data co-created by users and AI.

marsbit07/20 00:29

ChatGPT Finally Can 'Search Itself': Nearly Four Years of Conversations, Retrieved with One Click

marsbit07/20 00:29

AI Search Gives Birth to an Angel Round

GenOptima, an AI marketing technology company specializing in Generative Engine Optimization (GEO), has raised tens of millions of yuan in an angel round from investors including Shanghai Intellectual Property Fund, Tiantu Capital, and individual investor Wei Wei, with previous backer 37 Interactive Entertainment participating again. Founded in May 2025, the Shanghai-based startup helps brands appear in AI-generated answers across platforms like ChatGPT and DeepSeek. Its proprietary GENO system monitors AI search trends, analyzes brand semantics, and optimizes content to improve visibility. The company has seen rapid growth, now serving nearly 400 enterprise clients across 22 industries and reporting annual recurring revenue exceeding 100 million yuan. The company positions GEO as the AI-era equivalent of SEO (Search Engine Optimization), with the domestic market projected to surpass 50 billion yuan by 2030. Investors are betting on GenOptima's potential to become key infrastructure for brand marketing as AI reshapes consumer decision-making, citing its technical capabilities, validated business model, and experienced founding team.

marsbit07/07 00:54

marsbit07/07 00:54

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit06/16 01:14

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit06/16 01:14

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit06/15 10:42

marsbit06/15 10:42

Google Cracks Down on 'AI Poisoning'

Google has taken a strong stance against "AI poisoning," a new form of manipulation where advertisers subtly feed information to influence AI-generated answers like those in Google's AI Overview. Unlike traditional SEO, which aims for higher website rankings, Generative Engine Optimization (GEO) seeks to have a brand or product recommended within the AI's response itself. This is particularly valuable as AI summaries, often perceived as neutral and comprehensive, can shorten the consumer decision path and directly influence purchases. The article illustrates the issue with a "hot dog experiment," where fabricated content was quickly picked up and presented as fact by AI. GEO exploitation is potent because AI models aggregate information from various sources—reviews, articles, forums—and can mistake coordinated marketing campaigns for genuine consensus. This threatens the core credibility of search engines. While Google's updated spam policy now explicitly covers attempts to manipulate AI-generated content, enforcement faces challenges. Google can leverage its long experience fighting SEO spam, using penalties like ranking demotion. However, sophisticated "gray area" tactics, such as sponsored third-party reviews or industry reports, are harder to distinguish from legitimate promotion. Other AI players, like Microsoft, have taken a more open approach to GEO, viewing it as a new channel for brands. Ultimately, as AI becomes a primary information source, maintaining the trustworthiness of its answers is a critical challenge for all platforms.

marsbit05/25 10:07

marsbit05/25 10:07

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbit05/24 08:28

Google CEO Admits Lagging Behind in Coding

marsbit05/24 08:28

Google's 2026 Roadmap is Hidden in This Keynote Speech

Google I/O 2026 was not merely a product launch, but a strategic unveiling of the company's decade-long roadmap. The core signal is that Google is evolving its AI, Gemini, from a feature within products into a foundational operating layer that integrates and reshapes its entire ecosystem—Search, Android, Chrome, YouTube, Workspace, XR, and developer tools. The traditional paradigms of digital interaction are being redefined. Search is shifting from finding links to understanding intent and completing tasks. Android is transforming from an app-centric OS into an AI-native platform that orchestrates workflows across services. Chrome is becoming an AI reasoning layer over the web, while YouTube is evolving into a conversational knowledge engine. Google is heavily investing in Agentic AI, aiming for AI to act as a digital operator that executes tasks autonomously. Underlying this vision is the integration of Gemini across all products, making it the central nervous system. Key developments include Gemini Omni for multimodal generation, deeper product integrations, and a push into XR glasses for contextual, ambient computing. Google is positioning AI not as an optional feature but as essential infrastructure, akin to electricity. The broader implication is a competition for the next computing interface. Google's goal is not just to win in chatbots or models, but to become the operating system for the AI era by controlling the primary entry points—search, assistant, OS, and browser—and weaving them into a unified, intelligent layer. This represents a fundamental shift in computing paradigms that will impact creators, developers, businesses, and how all users interact with technology.

marsbit05/21 04:22

Google's 2026 Roadmap is Hidden in This Keynote Speech

marsbit05/21 04:22

Google Using AI to 'Kill' Google: This Keynote Left People Breathless

Google's latest I/O event showcased a sweeping AI evolution, positioning Gemini as the core intelligence across its ecosystem. The launch of Gemini Omni pushes video generation towards a "world model," understanding physics and enabling complex edits through conversation. For developers, the ultra-fast Gemini 3.5 Flash model powers Antigravity 2.0, an agent-first platform capable of orchestrating tasks like building a basic OS from scratch. Google Search is being reimagined with AI Overviews, persistent information-gathering Agents, and generative UI components. A key consumer debut is Gemini Spark, a persistent personal AI Agent that runs tasks in the cloud even when a user's device is off, managing multi-step workflows. The Gemini App itself received a visual overhaul with a new Neural Expressive design and a "Daily Brief" morning summary feature. The company also announced a suite of creative tools (Pics, Stitch, Flow), upcoming AI-powered audio glasses, and expanded content verification with SynthID. Underlying these advances is a significant strategic shift: Google is transitioning from a free, ad-supported model to a future built on AI subscriptions and enterprise services, betting users will pay for deeply integrated, agentic assistance that handles complex tasks across work and life.

marsbit05/19 23:53

Google Using AI to 'Kill' Google: This Keynote Left People Breathless