Tell me why you are not holding any $TAO! Nvidia just proved AI infrastructure spending is alive. Bittensor's halving is already constraining supply. The demand is there. The supply is shrinking. The math is simple. The psychology is hard.

August Was a Landmark Month for DeFi, With Aave Crossing $30B in Deposits and Sanctum Overtaking Jupiter to Become Solana's Largest Protocol. Here's Every Major DeFi Milestone in August. $AAVE: V4 deposits hit $350M on Aug 3, surpassed $400M for a new all-time high by mid-August, and total protocol deposits crossed $30B on Aug 22 — confirmed directly by founder Stani Kulechov ("liquidity is back") — a 30% quarterly jump $NAVI: launched NAVI Prime on Aug 17, the first curator lending vault on Sui, described as the largest product overhaul in three years and the first isolated risk pool DeFi product in the Move ecosystem $COMP: DAO approved a $52M two-year development program targeting institutional credit and RWA on Aug 17, alongside announcing new leadership with Aaron Schnarch as Executive Director $CRV: Llamalend V2 launched on Optimism first (June 10), then completed a ChainSecurity audit and deployed on Ethereum mainnet Aug 13, supporting LP Token and PT as collateral and introducing new admin fee revenue for the DAO $UNI: recorded its largest single-day burn value at $590,000 on Aug 21; Robinhood Chain's tokenized stock volume figures for Aug 22 are unconfirmed; weekly UNI burn reached an elevated annualized rate, though reported estimates cluster nearer 16M UNI (~$74M) rather than 31M/$113M $JUP: launched Lend v2 on Aug 10, introducing Smart Vaults that let supplied collateral earn both lending yields and DEX trading fees simultaneously Sanctum: TVL hit an all-time high of ~$1.28B by end of Q2, climbed to ~$1.66B in Validator LSTs by late August, and surpassed Jupiter on Aug 28 to become Solana's largest protocol by TVL at ~$1.66B $HYPE: HIP-3 market open interest hit an all-time high of $4.3B on Aug 17, platform-wide OI approaching $11B; RWA perpetuals OI hit its $3.6B record on July 13, not August; Builder Code and monthly HIP-3 volume figures for August are unconfirmed $PENDLE: partnered with Valantis (Aug 27) to launch the first open market for Hyperliquid trading fee discounts; its USDD incentive program on Pendle ran May 28–Aug 27, and framing Aug 27 as a fresh "second phase" is unconfirmed $CCC (CashCow) and $FOLD (Interfold): both drafted with specific launch details, but neither returned independent coverage — treat as unconfirmed until a primary source surfaces

SpaceXAI engineer, formerly of Cursor: "At the moment, I have 10–20 GrokBot agents taking care of roughly 90% of my recurring tasks. I’m not coordinating them one by one. A Chief of Staff agent understands what each bot does and oversees the entire operation." In a 50-minute session, a SpaceXAI engineer walks through how to create an agent team that keeps working around the clock. It delivers more practical value than many $700 courses on agentic engineering. Watch the session, then follow the free step-by-step guide below to build your own Grok agent team with prompts you can copy and use.

Chainlink for Agents launched mid-August. $LINK: +22% in one week to $11.45. Project Pangea: 50+ banks, $10T+ AUM. Institutional AI and RWA adoption is accelerating through Chainlink.

Stellar's || $XLM RWA market: $3.996B, up 360% YTD. Spiko: $1.55B. Realiz: $559M. Tradable: $548M. Franklin Templeton: $546M. Ondo: $535M. Top 5 issuers on Stellar alone hold $3.7B+. Do you know what that means?

MOST PEOPLE ARE WATCHING BTC LIQUIDITY. SMART MONEY IS WATCHING WHO CONNECTS IT. $LINK is becoming that connection layer. Coinbase’s $7.5B+ cbBTC is expanding to Robinhood Chain, with Chainlink CCIP as its exclusive cross-chain infrastructure. That opens the door to lending, DEX liquidity, vaults, derivatives, and BTC-based yield strategies. The bigger thesis: every major asset moving across chains strengthens the case for Chainlink’s interoperability stack.

Most people are trying to build AI agents before understanding what powers them. this free tutorial takes you from zero to building production-ready AI systems : • 00:40 - How LLMs actually work • 04:56 - Embeddings and vector representations • 21:21 - Build a semantic search engine • 35:15 - Build your first RAG system • 42:14 - Create stateful AI workflows with LangGraph • 48:51 - Connect agents to external tools with MCP the progression is what matters: LLMs → Embeddings → RAG → Workflows → Agents → Tools you don't just learn the concepts. you build them through hands-on labs. the final goal: a real-world AI assistant that can search massive document sets in seconds. bookmark this, build along with it, and stop treating AI agents like a black box.

Most people are using AI without understanding what comes after ChatGPT. this is the simplest breakdown of how AI evolves from a chatbot into an autonomous agent : • 01:04 - Level 1: LLMs like ChatGPT • 02:17 - Level 2: AI workflows • 05:26 - Level 3: True AI agents • 07:48 - Real-world agent example • 09:10 - The key differences explained the progression is simple: LLM → Workflow → Agent LLMs generate answers. workflows follow predefined steps. agents can reason, choose actions, use tools, and adapt. once you understand that shift, AI agents become far less intimidating. watch it today, then learn how RAG and ReAct fit into the next generation of AI systems.

SHE’S 18, BUILT A GAME USING 4 AGENTS, THEN SOLD IT TO MICROSOFT FOR $2.4M. And at Stanford, she explained how anyone can recreate the process from zero: [00:09] - how Claude Code + Opus 5 created a game generating $100K/month [23:34] - how 4 AI agents replaced a software team costing $200K/year [59:47] - how to go from idea to your first game in just 60 minutes After watching, I gave Claude Code a game concept I'd been sitting on for 2 years. 60 minutes later, it was already live on the App Store and generating revenue. Save this + watch it. The article below breaks down how AI agents and Claude Code can replace a dev team successfully and really sell.

$ONDO is putting Treasury-backed yield directly into payments infrastructure. USDY is now live on Tempo, bringing daily yield backed by short-term U.S. Treasuries to a payments-focused L1 incubated by Stripe and Paradigm. → 24/7 transfers → Stargate bridging → Payments + DeFi utility → Treasury-backed yield The bigger play: yield-bearing RWAs are moving from investment products into the infrastructure powering everyday onchain finance.

Sentiment on This List Is So High Across the Board That Even the Lowest-Ranked Coin Is Sitting Above 87%. Here's where conviction sits on CMC right now: $WLD: 99.6% bullish (-0.89%) $PENGU: 99.4% bullish (+1.55%) $PI: 96.6% bullish (+2.56%) $VET: 95.7% bullish (+3.14%) $KAS: 94.4% bullish (+4.14%) $XRP: 92.6% bullish (+1.23%) $PEPE: 91.4% bullish (-0.08%) $ADA: 87.7% bullish (-0.26%) $BTC: 87.7% bullish (+1.17%) $SOL: 87.4% bullish (+5.79%) $WLD and $PENGU are nearly maxed out at 99%+, an extraordinary level of one-sided conviction rarely seen across this many names simultaneously. $SOL stands out on price action too, up nearly 6% while still holding strong sentiment near 87%. Only $WLD, $PEPE, and $ADA are trading slightly red today, and even then the declines are minor, under 1% in each case, while sentiment stays firmly bullish regardless. With conviction this uniformly high and price mostly following suit, is the market entering a genuine high-confidence stretch, or is sentiment this extreme usually a signal that a pullback is close behind? || Source: CoinMarketCap

THIS MIGHT BE THE MOST DANGEROUS AUTOMATION ONLINE RIGHT NOW. A trucking business owner taught xAI’s Grok Bot how to handle the work that used to consume his entire day. Finding loads. Reading rate confirmations. Sending invoices after deliveries. Following up with drivers and brokers. The Bot logs into the same platforms he already uses, runs those workflows from its cloud computer after he shuts the laptop, and only alerts him when something requires approval. The part worth copying: Pick one task you hate ➜ teach it once using Teach a Task ➜ schedule it ➜ require approval for money and outbound actions. DON’T SLEEP ON THIS ⭣

THIS GUY MAY HAVE JUST EXPOSED ONE OF THE EASIEST WAYS TO MAKE MONEY IN 2026. Claude Code and YouTube alone can give you over $60,000/MONTH. You don’t need to be an expert. You don’t need to invent the next big product. Just a simple system that most people are completely overlooking. He breaks down the entire strategy in just 13 minutes. Save this before it gets buried in your feed.

ANTHROPIC ENGINEER ANDREJ KARPATHY JUST SAID THE PART NOBODY WANTS TO HEAR: "Agents aren't magic. They're distillation at scale." Your agent loop might simply be producing useless output at massive scale, and you won't even notice. Most LLM capacity is still being burned on data that adds little value. In a 20-minute conversation, Karpathy breaks down the reasoning stack behind it all. Honestly, this is worth more than most $300 AI courses released this year.

THIS IS GETTING RIDICULOUSLY POWERFUL. A regular college student spent $2,200 on an iPad and Mac Mini. Then linked both to his MacBook. Three computers sitting on the same desk. His roommates assumed he was building some crypto mining rig. Instead, he configured an AI automation system and went to bed. By morning, it had already handled hundreds of leads, generated personalized outreach for each one, and updated the CRM automatically. The human team doing the same work? $7,000 every month. His setup? $2,200 upfront. There are hundreds of millions of businesses worldwide. Yet countless companies are still paying humans for repetitive work AI can handle nonstop. And the wild part? Very few people actually know how to build these systems properly.

SHE’S 18, BUILT A GAME USING 4 AGENTS, THEN SOLD IT TO MICROSOFT FOR $2.4M. And at Stanford, she explained how anyone can recreate the process from zero: [00:09] - how Claude Code + Opus 5 created a game generating $100K/month [23:34] - how 4 AI agents replaced a software team costing $200K/year [59:47] - how to go from idea to your first game in just 60 minutes After watching, I gave Claude Code a game concept I'd been sitting on for 2 years. 60 minutes later, it was already live on the App Store and generating revenue. Save this + watch it. The article below breaks down how AI agents and Claude Code can replace a dev team successfully and really sell.

WHOEVER EXPOSED THIS SETUP REALLY DOESN’T CARE SOMEONE CONNECTED 350 GROK BOTS TO BUILD A SOLO TRADING OPERATION. At first, I assumed it was another AI test. Then I saw how the whole system was wired. One agent monitors markets. Another searches for potential trades. Another processes headlines and market sentiment. Another watches whale movements and blockchain data. Another handles portfolio risk and position sizing. Then a DESK LEAD Grok oversees the entire network and forwards only the trades that require human approval. No analyst team. No sitting in front of charts for hours. Just 350 Grok agents exchanging data around the clock. And the wildest detail? The owner claims he barely interacts with the system anymore. FULL GUIDE ON BUILDING THIS BELOW

THIS IS GETTING RIDICULOUSLY POWERFUL. A regular college student spent $2,200 on an iPad and Mac Mini. Then linked both to his MacBook. Three computers sitting on the same desk. His roommates assumed he was building some crypto mining rig. Instead, he configured an AI automation system and went to bed. By morning, it had already handled hundreds of leads, generated personalized outreach for each one, and updated the CRM automatically. The human team doing the same work? $7,000 every month. His setup? $2,200 upfront. There are hundreds of millions of businesses worldwide. Yet countless companies are still paying humans for repetitive work AI can handle nonstop. And the wild part? Very few people actually know how to build these systems properly.

Two crypto apps generate 67% of all application revenue. Hyperliquid and Pumpfun. That's it. Add Ethena and three protocols control 80% of the entire sector's income. Everyone else is fighting over what's left.