《Lovable vs. AIStudio Quick Review》 Demo Task: Create a chart of trending Twitter topics. The size of each topic represents its popularity, i.e., its frequency of appearance in tweets. Data Source: Cryptohunt Deployment: Web-based Lovable: Takes 5 minutes, encountered 1 bug, which Lovable fixed on its own after one attempt. AIStudio: Takes 1 hour, encountered 2 bugs, each requiring multiple fixes with my assistance before success. Conclusion: AIStudio still needs improvement. AI Studio: Lovable: Cryptohunt:

@Web3SisterA Just to clarify, it's @Web3SisterA who will follow back.

Urgent Notice: Do not store excessive amounts of credits on the OpenAI API. They frequently suspend accounts without reason, and once suspended, the money deposited is non-refundable. My several hundred dollars just vanished! Is this how they generate revenue?? Their original reply: Thank you for reaching out! Our policy does not allow refunds for API prepaid credits. For more detailed information, please review our Service Credit Terms. Thank you for your understanding. This is extremely unreasonable! @OpenAI @OpenAIDevs

Top 10 Essential AI Tools for 2026 1. Chatgpt Deep Research @OpenAI - In-depth Reports 2. Google AI Studio @GoogleAI - Vibe Coding for Beginners 3. Claude Code @claudeai - AI-Driven Programming (Humans as Co-pilots) 4. Nano Banana @NanoBanana - Image Generation 5. Sora2 @OpenAI - Text-generated Videos 6. Grok @grok - Large Language Model Based on Real-Time Twitter Information 7. NotebookLM @NotebookLM - Knowledge Management Tool 8. Cursor @cursor_ai - AI-Native Programming 9. Lovable @Lovable - App Creation for Beginners 10. Manus @ManusAI - General-Purpose AI Agent for Computer Operation Web3 Enhancement 11. Surf AI @SurfAI - Web3 Version of Chatgpt 12. XHunt @xhunt_ai - Social Influence Assessment and Monetization Anything else to add? Feel free to leave a comment below.

"Analysis of the 15 Most Profitable Unlisted AI Companies in 2025" AI companies now use ARR (Average Revenue Count) for valuation in financing and acquisitions. Here is a ranking of AI companies by ARR: 1. OpenAI - ARR: $13 billion - $15 billion Developer of ChatGPT, a global standard setter for large models and APIs. 2. Anthropic - ARR: $7 billion - $9 billion Parent company of the Claude model, specializing in enterprise-grade long text and secure AI. 3. Databricks - ARR: $4.8 billion - $5.5 billion Big data unicorn, providing enterprise-level private AI development and storage platforms. 4. Canva - ARR: $3 billion - $3.5 billion Creative design platform, fully empowered by the Magic Studio AI suite. 5. Scale AI - ARR: $1.8 billion - $2.5 billion The largest data annotation provider, the "data factory" behind large models. 6. Midjourney - ARR: $1 billion - $1.2 billion A leading AI image generation tool, achieving high profits through a pure subscription model. 7. Cursor - ARR: $800 million - $1.2 billion The hottest AI-native programming editor, a rapid replacement for traditional IDEs. 8. xAI - ARR: $500 million - $700 million Elon Musk's company, developing Grok models based on X platform data. 9. Perplexity - ARR: $300 million - $500 million A leader in AI search, providing a precise answering experience with source citations. 10. ElevenLabs - ARR: $200 million - $400 million A global benchmark for audio AI, focusing on extremely realistic voice cloning and translation. 11. Glean - ARR: $200 million - $350 million An enterprise-grade internal search agent, providing one-stop access to all company documents. 12. Lovable - ARR: $200 million+ A pioneer in democratizing programming, allowing beginners to create apps simply by speaking. 13. Hugging Face - ARR: $150 million - $250 million The GitHub of AI, the world's largest community for hosting models and computing power. 14. Synthesia - ARR: $150 million - $200 million A virtual human video generation platform, focusing on corporate training and digital human broadcasting. 15. Manus - ARR: $125 million+ The world's first general-purpose AI agent, capable of autonomously operating computers to perform complex tasks. Thoughts on AI Business Models - Revenue is concentrated in leading large model companies, such as OpenAI and Anthropic. - Vibe coding is on the rise, with companies like Cursor and Lovable. - In the AI era, data remains a lucrative business, as exemplified by Data Bricks and Scale. - Besides 2C subscriptions, enterprise services are also a source of AI revenue, such as Anthropic's enterprise long-text service, Databricks' private platform, and Glaan's enterprise search. - Revenue from visual/video/audio services is also substantial, and companies that excel in vertical sectors can even outcompete general-purpose large model companies, such as Canva, Mid Journey, ElevenLabs, and Synthesia. - Real-time information acquisition and analysis are crucial, such as Perplexity's accurate search-based answers and xAI's real-time Twitter data. - Open source is also a business, and it will continue to grow, as exemplified by Hugging Face's open-source model hosting. - The era of agents is dawning, with companies like Manus, the world's first general-purpose AI agent, and Glaan, an enterprise-grade internal search agent. What other AI companies do you think are worth paying attention to?

XHunt Launches KOL Fan Interaction Ranking How to tip and follow back fans? I currently use XHunt's fan interaction ranking data. I check the ranking every 1-2 weeks, then follow the top 3-5 and tip the top 5-10. Today, I'll tip the top 5, 15U each, and follow the top 3. The top 5 users below, please bind your EVM address to the @xhunt_ai plugin. Payment will be made in 48 hours. @gushanjishui @zhuren1992 @blockTVBee @supermao @ethanye111 Currently, the fan ranking is a VIP feature. If any KOLs would like to activate the fan ranking, please leave a message in the comments section. We will prioritize those with high XHunt rankings.

How intelligent will large-scale models become in the foreseeable future? The intelligence of large-scale models is approximately equal to Moore's Law of computing power plus the scaling law of models. Moore's Law of computing power increases fourfold every 18 months. One explanation of the scaling law is that existing training data can support two such cycles. So, in three years, in 2029, large-scale models will be 16 times smarter than they are now. Do you find this surprising or alarming?

"Zuckerberg's Last Piece of the Puzzle: Why Meta Must Acquire Manus for $2 Billion by 2025" Understanding Meta's four major strategic moves for 2025 will give you insight into the trajectory of AI development: 1️⃣ Underlying Data: Hiring the best talent and investing heavily, acquiring a 49% stake in Scale AI for $14.3 billion and bringing in the genius Alexandr Wang to lead the team! Large models don't lack algorithms, they lack high-quality "fuel." 2️⃣ Large Models: Llama's "Midlife Crisis" While Llama 4 was powerful, it was squeezed between DeepSeek and Claude. Zuckerberg said he wanted to run sprints, and if a model lagged behind, he would immediately poach talent at exorbitant prices, emphasizing "money power." 3️⃣ AI + AR: Wearing AI on your face. Acquiring Limitless is about putting that $99 "second brain" into smart glasses. The future of AR isn't about watching movies; it's about remembering every second of your life. 4️⃣ Agent: Giving AI a pair of hands. OpenAI has Operator, Anthropic has Computer Use, but Meta only has a chat window? The addition of Manus fills Meta's last gap. Leveraging GAIA's world-leading product testing capabilities, Manus is the "digital employee" that can help you book flights, conduct research, and write code. 💰 Valuation Discussion: Is PS=30 expensive? ARR of $100 million in 8 months, a valuation of $2-3 billion.

Top 10 US Stock Market Gains in 2025 While Bitcoin fell 6% for the year, the S&P 500 rose +17%, and the following component stocks significantly outperformed the market: 1️⃣ SanDisk ($SNDK) +587% Explosive demand for flash storage in AI data centers, the biggest dark horse of the year 2️⃣ Western Digital ($WDC) +283% The era of AI inference has led to a surge in high-capacity storage prices 3️⃣ Seagate ($STX) +226% One of the HDD duopoly, with a full recovery in the storage cycle 4️⃣ Micron ($MU) +222% HBM memory shortage, a key beneficiary of AI accelerators 5️⃣ Robinhood ($HOOD) +222% Retail investor return + crypto recovery 6️⃣ Newmont ($NEM) +184% Gold prices hit record highs, the world's largest gold miner 7️⃣ Palantir ($PLTR) +156% Government + Enterprise AI Contracts Accelerate 8️⃣ Warner Bros ($WBD) +180%+ M&A Expectations Rebound 9️⃣ Lam Research ($LRCX) AI Chip Production Expansion Benefits Semiconductor Equipment 🔟 AppLovin ($APP) / Comfort Sys ($FIX) AI Advertising / Data Center Infrastructure Demand Explodes Analysis: AI concepts account for 70% (mainly in the storage sector), encryption concepts 10%, gold concepts 10%, and M&A expectations 10%. Trend: AI is engulfing the world. Encryption concepts and gold as a hedge against risk have a small place, while others are disappearing. What do you think?

"Humanity on the Eve of a Productivity Explosion" Two Shocks for a Retired Programmer and Machine Learning Researcher The first was the 2023 ChatGPT, which showed me that AI intelligence surpassed my imagination. The second was a few days ago using Vibe Coding (cursor, Lovable). The smoothness of writing and deploying front-end and back-end code in natural language left me speechless. Basically, what a team does in a week can be done by one person in two hours. Productivity increased by nearly 100 times—isn't that terrifying?