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พวกเรารักพี่บอยมากๆค่ะ😢💓 ตอนได้ไปทำงานกับพี่บอยรินะสนุกมากๆทุกครั้งค่ะพี่บอยใจดีมาก รินะเป็นคนญี่ปุ่นก็เลยพูดภาษาไทยไม่เก่ง แต่พี่บอยคุยกับรินะและสอนภาษาไทย,ช่วยเราตลอดขอบคุณมากๆที่สนับสนุนพวกเราตลอดค่ะ รักพี่บอยมากค่ะ💓 รินะรอCGM48ได้ไปรายการhitz karaokeอยู่นะคะ♪ #saveพี่บอย#

A trading platform becomes truly valuable when users can make better decisions without becoming dependent on it. That's an idea I've been considering while following @Hypesium. In Web3, platforms often compete by offering more features, faster execution, and access to additional markets. Those improvements can make trading more convenient. But there's another question I think deserves attention. Does a trading tool make its users more capable, or simply more dependent on its interface? Imagine someone who has spent months trading through a single application. They understand where to click, how to place orders, and how to navigate its features. But if that application suddenly becomes unavailable, can they still evaluate opportunities and manage their positions independently? If the answer is no, convenience may have created an unexpected weakness. Hypesium offers a Telegram-based trading workflow focused on the Elysium ecosystem, connecting activity across multiple launchpads. I see this as an interesting example of how specialized infrastructure can simplify market participation. However, I believe the strongest trading products should preserve user independence. Traders should understand the assets they hold, the networks they use, and the risks associated with their transactions. They should also know how to verify important information outside any single interface. This isn't an argument against trading bots. It's an argument for using them as tools rather than treating them as substitutes for knowledge. For me, @Hypesium is worth examining through this perspective because accessibility and independence should develop together. A convenient trading experience can save time. But genuine confidence comes from understanding the process well enough to operate without that convenience when necessary. The best infrastructure shouldn't make users feel trapped inside one workflow. It should make them more capable wherever they choose to participate. Would you trust a trading platform more if it helped you become less dependent on it?

Young people in China are, without a doubt, some of the hardest-working and most resilient people in the world. The economy has been driven into this fucking mess, yet people aren’t even taking to the streets to protest. They just quietly get on with their lives. If they find a job, they go out and work, even if it probably means working 996 hours, just enough to survive, but with little or no money left to save. If they can’t find a job, they stay home and lie flat. They’re not hurting anyone. What the hell have they done wrong? You have to understand that choosing to lie flat is also a personal freedom! And yet, even that isn’t good enough for some people…

This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer: "AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting We can't deny that it will also eliminate jobs, and probably a large number of them" In a few minutes he names which jobs go first and the one skill that keeps you in the game His own prediction: 50 percent of entry-level white-collar jobs disrupted in the next 1 to 5 years Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI Farming to factories took generations. This time AI hits every step of a career at once His advice fits in one line: "Of course, learn to use AI" The people who start this year won't be competing with AI, they'll be the ones running it Everything below is free. Start today: Anthropic - Prompt Engineering Interactive Tutorial: the fastest way to learn to direct a model Anthropic Courses: from your first prompt to running agents Anthropic Cookbook: real task recipes you can copy today Microsoft - Generative AI for Beginners: 21 lessons, no degree required Microsoft - AI Agents for Beginners: build agents that do the entry-level work for you Hugging Face - Agents Course: free and certified, start to finish Google Cloud - Generative AI: Google's own hands-on notebooks OpenAI Cookbook: code for every common task - Prompt Engineering Guide: the reference everyone links to Andrej Karpathy - Neural Networks Zero to Hero: understand what is under the hood CrewAI: run a small team of AI workers Microsoft - AutoGen: put several agents on one job Awesome LLM Apps: hundreds of real builds to learn from - Short Courses: free 1-hour courses from the people who teach this Total cost: $0 You don't need another year of tuition to learn this. You need to start telling AI what to do 95% will graduate and compete with AI for the same entry-level job The 5% who learn to run it this year will manage the agents doing that job Save this and send it to someone graduating this year

At @SpaceXSI, Lauren Tan (@poteto) and Roman Ugarte (@romanugarte_) are on the core team that took Grok Bot from first line of code to launch in seven weeks. It lets you spin up AI teammates with their own identities and logins, and they just keep working in the background. Their marketing team gave a bot its own ad budget. Lauren built an entire feature with her bot in one Slack thread without ever opening Cursor. They joined us on the @LightconePod to talk about what it’s actually like working next to bots every day, and how the hard part is shifting from doing the work to figuring out what to do and why. 03:36 — Giving Bots Real Jobs 06:49 — One Bot or a Team of Specialists 10:39 — Sharing Bots Across the Company 14:46 — Identity and Permissions for AI Coworkers 18:37 — Bot-to-Bot Collaboration and Trust 22:35 — The Workflow Behind 4,000 PRs a Month 26:00 — Teaching Agents to Write Code You Trust 29:01 — Building a Personal Software Factory 33:44 — The Future of AI Coworkers 36:47 — Rethinking the AI-Native Company 40:13 — Teaching Agents to Check Their Own Work 43:56 — How Much Code Review Is Enough? 47:33 — Codebase Guardrails That Save Tokens 52:20 — When Product Judgment Becomes the Bottleneck 56:29 — From Finance to AI Engineering

🚨 BREAKING NEWS! The engineer who created Claude Code from scratch just posted a 28-minute video that's pure gold: how to write prompts that actually deliver ridiculously good results. I've seen $300 courses that don't even come close to what he explains in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns that almost no one uses… All in one video. Completely free. No fluff. Whether you're a developer, just starting out now, or already using Claude for months: this changes the game for you starting today. Save. Watch. Share.

50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) → Current portfolios of famous investors 2.) → Quarterly fund trades 3.) → Stock transactions of US politicians 4.) → Executives' own company stocks 5.) → Making fund filings readable 6.) → Companies' official reports 7.) → Buffett's letters since 1977 8.) → Video archive of Buffett meetings 9.) → Howard Marks' investor memos 10.) → Research from Ray Dalio's firm 11.) → Dalio's principles for free 12.) → Jeremy Grantham's market notes 13.) → Quantitative fund research 14.) → Damodaran's valuation data 15.) → Valuation professor's blog 16.) → Morgan Housel's money writings 17.) → Mental models for decision-making 18.) → JPMorgan's free market guide 19.) → Innovation-focused fund research 20.) → Venture capital essays 21.) → Value investing lecture notes 22.) → Columbia's value investing archive 23.) → Fed's economic data archive 24.) → Fed decisions and statements 25.) → European Central Bank data 26.) → Reports from the central bank of central banks 27.) → Countries' economic indicators 28.) → Companies' long-term charts 29.) → Company financials for free 30.) → Companies' market cap rankings 31.) → Stock screener and heat map 32.) → Portfolio backtesting 33.) → Charts and market analysis 34.) → Professional market screener 35.) → Company activity reports archive 36.) → SEC's investor education site 37.) → Passive investing encyclopedia 38.) → Financial terms dictionary 39.) → Free finance guides 40.) → CFA research publications 41.) → Fund and stock evaluations 42.) → Companies' visual analysis 43.) → Archive of selected investment theses 44.) → Seeing what's inside funds 45.) → European fund backtests 46.) → Investment writings with data 47.) → Market history notes 48.) → Investor psychology writings 49.) → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @Liyana_Coder you'll need it. Not investment advice. @Liyana_Coder

YOUR AI ASSISTANT CAN NOW FIND ANYONE'S EMAIL AND PHONE NUMBER wiza plugged 800M+ contacts into grok, claude, chatgpt and any mcp client the best b2b contact data for sales and marketing - now one prompt away you type who you need, it comes back with names, work emails and phone numbers here's how to put wiza mcp into a real workflow: > find new leads "find vps of sales at us software companies with 51-200 employees" your icp turns into a list of real people > map the account "get company info for [company], then find its sales leaders" you know the whole buying committee before the first call > enrich before you reach out "find the work email and phone number for [name] at [company]" no more jumping between linkedin and 5 tabs > source candidates "find senior backend engineers in seattle with available work emails" a recruiting pipeline without a sourcing agency > build a marketing list "save these prospects as conference follow-up and find their work emails" wiza saves the list and finds the emails in the background > chain it search companies, find the decision makers, enrich them, save the list one conversation instead of an afternoon of manual research setup: 1. add to your ai assistant 2. sign in with your wiza account 3. ask for what you need building your own tools? the same data is in the wiza api start here ↓