I built this game, this website and this app without writing a single line of code. How. It's called vibe coding.You just describe what you want. Like you're texting a friend and Google AI Studio builds it for you. If you're not familiar with AI Studio, it's Google's vibe coding platform.Where you can turn ideas into apps with just a prompt. One sentence is all you need to get started. Let me show you.Build me a pixel-style infinite runner platformer game where the main character is a cat. I'm speeding this ...

Core Viewpoint - Alphabet's stock is experiencing significant momentum driven by new product offerings and favorable macroeconomic conditions [1][3]. Product Developments - Google has launched Veo 3.1 Lite, a cost-effective video model for developers, which supports text-to-video and image-to-video creation at 720p and 1080p resolutions [1][2]. - The pricing for Veo 3.1 Lite is set to be less than half that of Veo 3.1 Fast, with adjustable clip lengths of 4, 6, or 8 seconds [2]. Market Conditions - Semiconductor and tech indexes have risen by 2% to 3%, influenced by easing tensions in the Middle East, particularly regarding U.S. military actions [3]. - President Trump's comments about potentially winding down military campaigns have contributed to a positive market sentiment [3]. Technical Analysis - Alphabet's stock is currently trading 4.1% below its 20-day simple moving average (SMA) and 8% below its 100-day SMA, indicating short-term pressure despite a recent bounce [4]. - Over the past 12 months, shares have increased by 83%, positioning them closer to the 52-week high [4]. Momentum Indicators - The Relative Strength Index (RSI) is at 23.56, indicating an oversold condition, while the Moving Average Convergence Divergence (MACD) is at -8.6663, suggesting bearish momentum [5]. Analyst Consensus - The stock holds a Buy Rating with an average price target of $274.71, reflecting a generally positive outlook among analysts [6]. - Recent analyst upgrades include targets raised by UBS to $348.00, Scotiabank to $400.00, and JP Morgan to $395.00 [8]. Price Action and Resistance Levels - Alphabet shares were reported at $286.03, up 4.72% at the time of publication [7]. - Key resistance is identified at $311.00, while key support is at $271.50 [8].

I'm going to show you how I use Google AI Studio to vibe code a website in ten minutes. For this video, let's say I need a website for my candle making business. Now, the quickest way to do this is to just type in I want a website for my candle company, but I'm going to show you a few extra steps that can make it more personalized to your brand or aesthetic.Start by opening Google AI Studio and clicking on playground. This is AI studio's chat feature, and you can use it to brainstorm the structure and visua ...

Perfect background music for flow state at 2am - made with the new Lyria 3 Pro. Google AI subscribers can try it in the @GeminiApp and developers can build with the API in @GoogleAIStudio - have fun!! https://t.co/ss5le18ElkGoogle DeepMind (@GoogleDeepMind):You can now create longer tracks with Lyria 3 Pro. 🎶Map out intros, verses, choruses, and bridges to build high-fidelity compositions up to 3 minutes long. 🎹 https://t.co/wVBdewyeNg ...

Group 1: Drone Delivery Expansion - Wing, Alphabet's drone delivery subsidiary, plans to expand its high-speed residential drone delivery service to the San Francisco Bay Area in the coming months, having already completed over 750,000 home deliveries and reaching over two million customers across major U.S. cities [2][3] - The expansion into the Bay Area is part of Wing's strategy to build a nationwide drone delivery network, collaborating with partners like Walmart and DoorDash [3] Group 2: AI Coding Experience Revamp - Google has redesigned its coding experience within Google AI Studio, introducing the Google Antigravity coding agent, which transforms simple prompts into production-ready applications [4] - The updated system can handle more complex tasks, such as building multiplayer features and integrating databases and authentication systems automatically, enhancing the development process for users [5] Group 3: Stock Performance - Alphabet shares were trading at $298.88, reflecting a slight increase of 0.03% at the time of publication [6]

RT Logan Kilpatrick (@OfficialLoganK)Introducing the all new vibe coding experience in @GoogleAIStudio, feating:- One click database support- Sign in with Google support- A new coding agent powered by Antigravity- Multiplayer + backend app supportand so much more coming soon!https://t.co/G0m9hRnoIS ...

🚨 UPDATE: Google AI Studio launches a full-stack vibe coding experience that turns prompts into production-ready apps, powered by the new Google Antigravity coding agent. https://t.co/E4nSu9E49w ...

Core Viewpoint - Figma shares are experiencing a decline due to increased competition from Google's AI Studio and its revamped Stitch platform, which poses a threat to Figma's market position in design and prototyping tools [2][3][4]. Group 1: Competitive Landscape - Google's AI Studio roadmap includes features that integrate Figma, indicating a shift towards deeper design tooling and raising concerns about Figma's ability to maintain its competitive edge as AI-native design tools become more prevalent [2][4]. - The Stitch platform, now positioned as an AI-native design tool, overlaps with Figma's core offerings, such as voice-driven design and agent-style workflows, further intensifying competition [3]. Group 2: Market Performance - Figma's stock (FIG) was down 1.58% at $24.86, nearing its 52-week low of $18.41, reflecting investor concerns amid increasing competition [6]. - The average analyst price target for Figma is $33.40, with recent adjustments from various analysts indicating a cautious outlook, including RBC Capital lowering its target to $31.00 and Stifel to $30.00 [6]. Group 3: Technical Indicators - Figma's Relative Strength Index (RSI) has remained mostly neutral over the past year, with recent movements suggesting a rebound from oversold conditions, indicating potential stabilization in momentum [5].

Investment Rating - The report maintains a "Buy" rating for the computer industry [4] Core Insights - The "14th Five-Year Plan" emphasizes the core strategic position of artificial intelligence (AI) in national development, with the term "artificial intelligence" appearing 30 times, compared to only 6 times in the previous plan [6][8] - The next five years will see AI Agents as the driving force for economic transformation, with a focus on high-value AI Agent growth leading to significant value creation [6][10] - The demand for intelligent computing power is expected to rise significantly, with projections indicating that by 2028, intelligent computing power will account for over 95% of total computing power in China [6][12] - The report highlights the emergence of "Token inflation" due to the rapid growth in AI model usage, with a projected annual Token consumption increase from 0.0005 PetaTokens in 2025 to 152,667 PetaTokens by 2030, reflecting a CAGR of 3418% [6][24] - Investment opportunities are identified in AI-native application companies, edge AI technologies, domestic computing power chain replacements, and collaborative infrastructure for computing and electricity [6][38] Summary by Sections Section 1: The "14th Five-Year Plan" as a Key Period for Intelligent Economy - The plan introduces the concept of "intelligent native," suggesting AI may become a new production factor [11] - The intelligent economy will drive the reconstruction of AI factor value [13] Section 2: Outlook for the "14th Five-Year Plan" - The intelligent economy is set to initiate a rapid explosion in Token usage, with AI Agents transitioning from cost centers to profit centers [17][38] - The report anticipates a significant increase in the number of active AI Agents, from approximately 28.6 million in 2025 to 2.216 billion by 2030, with a compound annual growth rate (CAGR) of 139% [24] Section 3: Comprehensive Upgrade of AI Factors During the "14th Five-Year Plan" - The report emphasizes the importance of high-quality data sets as a core barrier for building irreplaceable AI Agents [16] - The demand for high-quality, proprietary data sets is expected to surge, with a focus on transforming data resources into valuable assets [16] Section 4: Investment Recommendations - The report suggests focusing on AI-native application companies capable of generating scalable revenue, as well as companies that integrate AI Agents with vertical industry know-how [6][38] - Specific companies to watch include Horizon Robotics, JingTai Holdings, Meitu, and others [6]

Core Viewpoint - The article emphasizes the accessibility of AI tools for non-technical individuals to create software products, demonstrating that even those without coding knowledge can successfully develop functional applications with minimal investment and time [5][6]. Group 1: Motivation and Initial Steps - The motivation for creating a software tool stemmed from the author's frustration with video cover images and the high costs associated with existing AI image generation tools [7][11]. - The author suggests that before diving into development, it is crucial to clearly define the project requirements, as vague ideas can lead to ineffective outcomes [12][14]. Group 2: Development Process - After clarifying the requirements, the author utilized Google AI Studio to create a basic webpage layout using natural language, which allowed for quick iterations and adjustments [19][23]. - For more complex functionalities like user registration and payment processing, the author transitioned to using Claude Code, which provided a more robust solution compared to other tools [28][29]. Group 3: Implementation and Learning - The development process involved a collaborative approach with AI, where the author provided input and received detailed plans for implementation, including database setup and payment integration [34][35]. - The author highlighted the importance of hands-on learning, as interacting with AI during the coding process not only facilitated project completion but also enhanced understanding of the underlying concepts [43][44]. Group 4: Finalization and Deployment - Once the coding was complete, the author deployed the application to a cloud server and purchased a domain name to make the software accessible to users [46][49]. - The article concludes with two key recommendations: clearly define project goals and start by solving personal problems, which can lead to the development of useful tools [54][56].