RED.eth

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RED.eth

RED.eth

@redeth_

#Web3 enthusiast decoding crypto’s chaos. Holder of conviction, believer in builders, and storyteller shaping narrative around blockchain and decentralization..

Katılım Ağustos 2025
48 Takip Edilen21 Takipçiler
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RED.eth
RED.eth@redeth_·
Good Morning Everyone Can I get a Gm?
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RED.eth
RED.eth@redeth_·
@DamiDefi freeCodeCamp dropping heat again. Bookmark this
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Dami-Defi
Dami-Defi@DamiDefi·
Junior developers are being replaced by AI agents that run directly in the terminal. Google just built one and freeCodeCamp turned it into a free 3-hour course. The results are wild. freeCodeCamp just dropped a free course on Gemini CLI, Google's agentic coding tool that runs directly in your terminal. Here is what it covers: → Setting up Gemini CLI and integrating Google's Gemini models into your workflow → Advanced context management for deep repository understanding → Automating complex development tasks without touching the GUI → Safety frameworks for agentic code execution → Extensibility and automation for repeatable workflows This is not a chatbot tutorial. This is how to build an AI agent that understands your entire codebase, plans changes, and executes them from the terminal. This is the same workflow pattern used by Claude Code, Cursor, and every serious agentic coding setup in 2026. Software development is shifting from manual coding to agent-driven workflows. The developers who understand how to orchestrate these tools are the ones getting the $250K+ offers. The course is free. Andrew Brown from ExamPro built it. It is on the freeCodeCamp YouTube channel right now. 3 hours. Free. Zero excuses
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RED.eth
RED.eth@redeth_·
@DamiDefi Stanford just handed you a $60K education
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Dami-Defi
Dami-Defi@DamiDefi·
STANFORD ACCIDENTALLY GAVE AWAY THE EXACT CURRICULUM THAT PRODUCES $500K AI ENGINEERS - AND ALMOST NOBODY IS WATCHING IT. CS221. Stanford's flagship Artificial Intelligence course. The same lectures that trained the people now running AI labs, shipping frontier models, and negotiating half-million dollar compensation packages at Anthropic, OpenAI, and Google DeepMind. It is sitting on YouTube right now. Free. Unwatched by most people who claim they want to break into AI. Here is what separates this from every AI tutorial you have ever seen: → Search algorithms: the mathematical foundation behind every AI that finds optimal solutions in environments too complex for brute force → Constraint satisfaction: how AI reasons through thousands of interdependent variables simultaneously, the engine behind scheduling, planning, and logistics AI → Markov decision processes: the probabilistic framework powering every AI agent that makes sequential decisions under uncertainty, the backbone of modern reinforcement learning → Machine learning from first principles: not how to call a sklearn function, how the math underneath it actually works → Neural networks built from scratch: before jumping to applications, before touching PyTorch, before anything → Logic and knowledge representation: how AI systems reason about the world formally → NLP foundations: the bedrock of everything happening in LLMs right now → Robotics and computer vision: how AI perceives and acts in physical environments This is not a bootcamp. This is not a course about prompting. This is not how to use AI. This is how to build it. Every concept powering every AI product you use daily is in this curriculum. The actual mathematics. The actual algorithms. The actual reasoning that separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube for free. The people who watch it this month will understand AI at a level most self-proclaimed AI experts never reach. Search CS221 Stanford. Start tonight
CyrilXBT@cyrilXBT

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today. Follow @cyrilXBT for more elite resources that build real depth the moment they drop.

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RED.eth
RED.eth@redeth_·
@DamiDefi One session to build, reviews flow forever
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Dami-Defi
Dami-Defi@DamiDefi·
Top 10 Sectors by Funds Secured in 2026 Where the smart money is actually going: - Prediction Markets: $1.7B+ in Q1 - Infrastructure: $1.18B+ - RWA: $784M+ - CeFi: $710M+ - AI: $500M+ - Payments & Fintech: $423M+ - Blockchain Services & Tooling: $400M+ - DeFi: $350M+ - Gaming: $200M+ - DePIN: $100M+ Prediction Markets are running away with Q1. Kalshi alone raised $1B at a $22B valuation. Polymarket hit $15B MC. This sector came from nowhere to lead the entire space in 12 months. RWA quietly pulling in $784M with JPMorgan, Nomura, and Coinbase all actively building. AI at $500M+ confirms the biggest VC trend in traditional tech is now flowing directly into crypto-native AI projects with real revenue. Capital does not lie. It flows to where the real opportunity is. Are you positioned in the right narratives?
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Dami-Defi
Dami-Defi@DamiDefi·
Life after discovering MIT put a world class AI education online for free. This is what happens when you actually feed all 12 into Claude. A completely rebuilt research system.
Dami-Defi@DamiDefi

x.com/i/article/2048…

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Dami-Defi
Dami-Defi@DamiDefi·
$SUI Protocol & Ecosystem Update Here’s a comprehensive breakdown of the major catalysts that have defined Sui’s journey this year: Technology & Protocol → Zero-fee transfers incoming for ALL transactions, first high-speed public blockchain to offer this, covering USDC, USDT, and Sui Dollar with bank-grade compliance built in → Hashi Bitcoin lending primitive launched on Devnet, unlocking idle value from the $1.4T BTC market for DeFi → Mysticeti v2 live, handled a $60M token unlock smoothly at 866 TPS without breaking a sweat → S2 (Sui Stack) incoming - full evolution from L1 to unified developer platform in 2026 → Private transactions coming - full privacy with built-in compliance, sender and receiver only Institutional Infrastructure → SEC approved a spot SUI ETP in February 2026 - fifth crypto asset ever to receive this approval → CME Group SUI futures launching May 4 - standard and micro-sized contracts → 21Shares, Grayscale, Bitwise, and Canary Capital all launched spot products including staking vehicles → DeepBook expanded into full on-chain margin trading in Q1 Ecosystem Scale → USDsui (Sui Dollar) live on mainnet - developed by Stripe-acquired Bridge → On-chain stablecoin transfers crossed $1 trillion in cumulative volume in March → Monthly active developers up +219% year-over-year → 500+ active projects in ecosystem → Moonshot Program offering $500K grants to top financial apps building on Sui Zero fees. Trillion dollar stablecoin volume. CME futures. SEC-approved ETP. 219% developer growth. $SUI is not building toward institutional adoption. It already has it
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Dami-Defi
Dami-Defi@DamiDefi·
RWA Tokens If You Invested $10K on April 1st, Here is what you would have today: $LUMIA: $22,914 | +129.14% $ALGO: $14,064 | +40.64% $INJ: $12,843 | +28.43% $PLUME: $12,112 | +21.12% $LINK: $10,892 | +8.92% $AVAX: $10,535 | +5.35% $XAUT: $10,320 | +3.20% $PAXG: $10,293 | +2.93% $HBAR: $9,973 | -0.27% $XLM: $9,822 | -1.78% $ONDO: $9,762 | -2.38% 8 in the green. 3 in the red. $LUMIA quietly more than doubled your money in less than 30 days while most people were not watching. $ALGO and $INJ both delivering strong double digit returns while the broader market struggled. The RWA sector is recovering. Just not all of it equally 𝘋𝘢𝘵𝘢: 𝘊𝘰𝘪𝘯𝘔𝘢𝘳𝘬𝘦𝘵𝘊𝘢𝘱
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RED.eth
RED.eth@redeth_·
@DamiDefi One dev just killed the API bill 🔥
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Dami-Defi
Dami-Defi@DamiDefi·
Someone just killed Claude Code subscription fees. And it is completely open source. A developer built a proxy called free-claude-code that runs Claude Code for free using a free NVIDIA API key pointed at localhost. That is literally the entire setup. Here is what it does: → Converts Anthropic API calls to NVIDIA NIM format automatically → Unlocks 40 requests per minute at zero cost → Supports Kimi K2, GLM 4.7, MiniMax M2, Devstral, and more → Streams thinking tokens and tool calls live in real time → Includes a Telegram bot so you can run Claude Code directly from your phone No API bill. No rate limit panic. No vendor lock-in. This goes beyond tools like OpenRouter too. OpenRouter just swaps the model. This turns Claude Code into a free autonomous agent you can control remotely from anywhere. The people paying $20 a month for API access did not know this existed yet. Now you do. Open source on GitHub. Search free-claude-code and get started today t.co/eW8XeKdhNb
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Tuncok
Tuncok@CryptoTuncok·
FOMC + Powell + Google/Meta/Amazon earnings + GDP all hit this week. 🚀 Most volatile week of April. Position wisely.
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Dami-Defi
Dami-Defi@DamiDefi·
Crypto Watchlist, Week of Apr 27, 2026 Here's what's moving the market this week: → $BNB: Osaka/Mendel hard fork activates April 28, 9 BEPs targeting sub-second block times, hard gas cap, and in-memory voting pool for faster finality → $KALSHI: Major announcement teased for April 27, community speculation pointing to perpetual contract product launch → $RLS: Rayls public blockchain mainnet launches April 30, staking, native stablecoin $USDr, and partial fee burns creating deflationary pressure → $MEGA: MegaETH TGE confirmed for April 30 with Coinbase PreLaunch market; Polymarket giving 88% odds its FDV exceeds $1B on day one → $XRP: XRP Las Vegas conference April 30 to May 1 - Brad Garlinghouse attending, $1.5B in ETF inflows to date, major announcement speculation → $SEI: v6.4 mainnet upgrade live, first milestone in full transition from Cosmos to pure EVM under SIP-3 → $AAVE: Babylon Foundation deposited $3M USDT into Aave V3 + V4, interest reinvested through the Aave x Babylon program → $HYPE: 100% of fees going to buybacks and permanent burns, $700M annualized revenue, trading near 60-day highs around $43 → $SUI: ~42.6M tokens unlocking May 1 ($40M, 1.08% of circulating supply) → $KITE: ~215M tokens unlocking May 1 ~ circulating supply pushing toward 2.02B $MEGA TGE and $XRP Las Vegas are the two highest-impact events to watch this week. $SUI and $KITE unlocks hitting simultaneously on May 1 watch liquidity carefully. Busy week ahead. Eyes open
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Dami-Defi
Dami-Defi@DamiDefi·
Using Claude daily without a system is like going to the gym every day with no program. You're actually putting in effort but the results are not compounding. There is a difference between using Claude and having a Claude setup. Most people have never crossed that line. This is what crossing it looks like.
Dami-Defi@DamiDefi

x.com/i/article/2047…

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Dami-Defi
Dami-Defi@DamiDefi·
AI keeps getting easier to use. Telegram just proved it, no code required. Telegram just launched drag-and-drop AI bot building for everyone. Zero programming skills needed. Here is what just dropped: → Build a fully functional AI bot on Telegram in minutes using visual tools like Telewer, GPTBots, or Lazy AI, just pick options from a list → Choose your AI model - GPT, Llama, or others - and set it to answer questions, moderate groups, or share market news → Master Bots now let you create and control multiple sub-bots simultaneously, one bot managing an entire network of assistants across different chat groups → Built-in AI text editor incoming: rewrite or fix messages directly inside Telegram using AI models The barrier to entry just collapsed. Anyone with a Telegram account can now deploy a professional AI assistant in the time it takes to watch a YouTube video. The people building AI bot networks today are the ones charging for access tomorrow. Are you building or waiting?
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Telegram Messenger@telegram

On Telegram, anyone can utilize AI bots to easily develop, launch and manage their own bot – with no coding required. #TelegramTips More information for developers is available here: #managed-bots" target="_blank" rel="nofollow noopener">core.telegram.org/bots/features#…

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RED.eth
RED.eth@redeth_·
@DamiDefi Really solid workflow setup here
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CyrilXBT
CyrilXBT@cyrilXBT·
ANTHROPIC JUST PROVED MOST PEOPLE HAVE NO IDEA HOW TO PROMPT CLAUDE. Their applied AI team dropped a 24 minute free workshop. Not a creator who reverse engineered it. Not a Reddit thread. ANTHROPIC. The people who wrote the weights. And what they showed is uncomfortable. There are 6 elements to a properly structured Claude prompt. Most people are using 1. Maybe 2. That is not a skill issue. That is an information issue. And it has been quietly costing you every single day. The outputs that felt slightly off. The responses you had to rewrite 4 times. The prompts that worked once and never again. All of it traces back to the same 6 missing elements. The people who watch this 24 minute workshop tonight will understand something about Claude that most daily users still do not know exists. The people who skip it will keep getting 30% of what the tool is actually capable of and wonder why the results never quite land. I watched it twice. Then I built a Claude Skill that applies all 6 elements to every prompt automatically. No more thinking about structure. No more guessing what Claude needs. The framework runs in the background every single time. Full breakdown and skill setup is below. Bookmark this now. Watch the workshop first. Then read the guide. This is the one that compounds. Follow @cyrilXBT for the exact prompt architecture, Claude skills, and systems I use to get outputs most people do not believe came from one person working alone.
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Dami-Defi
Dami-Defi@DamiDefi·
Claude + Obsidian Have to Be Illegal. Here's Why. Your AI Forgets Everything the Moment You Close the Chat. Here's the Permanent Fix. Most people are using AI wrong. They re-explain everything in every new chat. Here is the fix nobody is talking about. Build a Second Brain in Obsidian. Connect it to Claude. Watch your AI get smarter every single day without you doing anything extra. Here is exactly how it works: → Obsidian is just a folder of markdown files on your computer → You point Claude Cowork, Claude Code, or any AI agent to that same folder → A single claude.md file acts as the instruction layer, telling your AI where to find and save everything → Your AI can now read AND write back to your second brain in real time The 5 advantages nobody is talking about: → Persistent context, no more re-explaining your business, projects, goals, and workflows in every new chat → Self-updating memory, tell Claude to "remember this in my second brain" and it saves rules, decisions, and updates automatically → Faster skill building; point your skills to shared reference files instead of copying the same context into every skill you build → Works across every AI; Claude Code, Codex, any agent gets the same context from the same folder → Scales across your entire team; share one second brain so every team member's AI has the same business context instantly The real insight here is not the tool. It is the compounding effect. Every decision logged. Every rule saved. Every project documented. It all stacks. The AI agent you have after 6 months of this is not the same one you started with. And if your competitor starts 6 months after you — they are not just behind on the tool. They are behind on 6 months of intelligence that makes the tool actually work. Start with 5 files. Let it grow naturally. The context is your real competitive advantage. Download Obsidian for free. Point it to Claude. Start today.
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CyrilXBT
CyrilXBT@cyrilXBT·
🚨 BREAKING. President Trump just got evacuated from the White House Correspondents' Dinner by Secret Service. In the middle of one of the most watched political events of the year. No confirmation yet on the threat. No details on what triggered the evacuation. Just agents moving the President of the United States out of the room in real time. The internet is going to have a lot of opinions about this in the next 60 minutes. Most of them before a single verified detail drops. Watching this closely. Will update the moment confirmed information comes through.
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Dami-Defi
Dami-Defi@DamiDefi·
Claude engineers earn over $500K to understand how models work. But most developers are using Claude Code at 20% of its potential. Here is everything the @AnthropicAI team actually uses internally, straight from one of the core contributors. What Claude Code actually is: A pure AI agent with powerful terminal tools that explores your codebase the same way a senior engineer would - using grep, glob, and find - not fancy indexing or RAG retrieval. Think of it as having the best terminal wizard on your team available 24/7. The CLAUDE.md file is everything → Drop a claude.md in your working directory and it loads automatically into every session → Use it for: how to run tests, project structure overview, style guides, team conventions → Put one in your home directory for things you always want Claude to know → Reference other files inside it using @ signs → Check it in to your repo so your whole team shares the same context → Claude follows claude.md instructions dramatically better than previous models, time to update yours Permission management nobody talks about: → Read actions run automatically by default, no interruptions → Write and bash commands prompt for approval → Press Shift+Tab to enter auto-accept mode for trusted sessions → Pre-approve repetitive commands like npm run test in settings to stop clicking yes 100 times a day The planning trick that saves hours: → Never just say "fix this bug" - say "search around, find the cause, give me a plan, don't write any code yet" → Read the plan. Verify the approach. Then let Claude execute. → Watch the to-do list Claude creates, if something looks wrong, press Escape and redirect immediately Context management before you hit the wall: → Watch the bottom-right warning as your 200K token window fills up → Run /clear to start fresh - claude.md persists automatically → Run /compact to summarize everything and continue the same session seamlessly Hidden features most people miss: → Press Escape to stop Claude mid-task and redirect, your most used key → Press Escape TWICE to jump back in conversation history and reset → Paste screenshots directly, Claude is multimodal, use it → Add "think hard" to any prompt to trigger extended thinking between tool calls, massive for complex bugs → /model to switch between Sonnet and Opus mid-session Advanced: run multiple Claude instances simultaneously → Power users at Anthropic run 4 Claude Code sessions at once → Use tmux or multiple tabs → Have agents communicate via shared markdown files, write state to ticket.md, fire up a second Claude and tell it to read it Use Claude Code for things nobody expects: → Git rebases and sticky situations, just describe what happened and let it fix it → Commit messages and PR descriptions, never write them manually again → Legacy codebase migrations, Java to modern stack, PHP to React, far more digestible with Claude → CI/CD pipelines and GitHub Actions via the Claude Code SDK → Understanding new codebases - ask it to read the git history and tell you the story of how the code evolved The one mindset shift that changes everything: Stop treating Claude Code as an autocomplete tool. Start treating it as a junior engineer you are actively managing. Plan together. Review the approach. Watch the work. Redirect when needed. Commit regularly so you can always roll back. The people running 4 instances simultaneously and shipping 10x faster are not smarter. They just learned when to press Enter and when to press Escape. Start there.
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