𝕊𝕠𝕝𝕖𝕊𝕥𝕣𝕚𝕕𝕖𝕣

opaldex.com/dexwaitlist $OPAL #OpalDEX #PrivacyPerps $OPAL @opal_dex #HouseBlind #DeFi #Perpetuals #Crypto

Out of 1,170 applicants, 12 were selected for @base Batches 003. We're one of them. Demo Day in San Francisco. May 20th. Up next: Public Beta.

They laughed at $TSLA. They ignored $BTC. They missed $DOGE. Now they’re scrolling past $RHEA. Big mistake. $RHEA isn’t just another ticker — it’s a signal. A shift. A quiet build while everyone’s distracted by noise. No hype. Just momentum. No promises. Just execution. The pattern is always the same: First they doubt. Then they watch. Then they chase. By the time it trends, it’s already too late. Stay early. Stay curious. $RHEA 🚀 $RHEA 🚀

Monthly buyback complete — 1M $RHEA added to the buyback pool. 490M $RHEA unlocked supply breakdown: > Staked — 156M > Cumulative buybacks since TGE — 16M > LP (NEAR) — 14M > LP (SOL) — 4M > LP (BNB) — 14M > Liquidity Provision — 25M > Lending & Farming Boost — 10M > Marketing Allocation (unused) — 30M NOTE The remainder is held by the community + ongoing token conversions.

@simplifyinAI AI can already write better AI algorithms than human scientists

🚨 BREAKING: Google DeepMind just built an AI that writes better AI algorithms than human scientists. And it’s evolving them entirely on its own. In a newly published paper, they introduce AlphaEvolve. It’s a system that doesn't just tweak basic hyperparameters.. it gives an LLM access to the actual source code of complex multi-agent learning systems. They treated the python code like a genome. and they told the AI to mutate it. The results are staggering. The AI invented completely novel, non-intuitive mathematical mechanisms that human researchers had never even thought of. Here is exactly why this changes everything: - Semantic code evolution: Old school genetic programming just threw random code mutations at a wall until something compiled. this LLM agent actually reads the existing algorithm, reasons about the logic, and writes semantically meaningful upgrades in python. - Non-human intuition: the agent discovered new algorithms (like VAD-CFR and SHOR-PSRO) that use weird, non-intuitive mathematical mechanisms that human researchers completely missed. - State-of-the-art results: the AI-written algorithms didn't just work.. they empirically outperformed the best human-designed baselines in complex game-theory environments. We are officially watching recursive AI self-improvement happen live in front of us.. Human intuition used to be the bottleneck for finding algorithmic breakthroughs. Now, you just point an LLM at a codebase, give it an objective, and let it autonomously evolve the math.

@elonmusk We are fam , X it's a beautiful place🚀

Stand By Me

@rhea_finance Timeline view: Product exists (merge done) ✅ Token launched ✅ Small exchange listings ✅ Binance.US listing → credibility phase ✅ TRON integration → expansion phase 🚀 ❓Major listings / narrative explosion (not yet)

RHEA 'EARN' coming soon👁️

Shorts are not forever.

@cz_binance @dinshoo12345 yeah… the “one big decision” is cute ,you’re one bold, stupidly brave choice away from a completely different life… literally every damn day

@dinshoo12345 you made the decision that changed your life. 👏

#BNB changed my life when I needed it most. Forever grateful. 🙏 Everything I have today is because of @cz_binance though I’ve never met him personally. I’ve only spoken about BNB, Launchpad projects, and Bitcoin by choice, never for money. #Binance #BNB #CZ ❤️♥️

Here you go

Today, March 23, 2026 — the SEC & CFTC finally admit what we've known since 2009: Bitcoin is NOT a security. It's a commodity. Like gold. Or oil. After 10+ years of regulatory FUD, we're officially allowed to HODL without fear of Gary Gensler appearing in our nightmares like the Boogeyman but with worse hair. #Bitcoin #CryptoClarity #FinallyNotASecurity 🚀"

8 transfers (80,000 × 8 = 640,000 $ETH) totaling roughly $1.33 billion moved in chunks to various unknown addresses from #OKX

OKX PoR has been solid historically (>100% for ETH) and large outflows often precede bullish moves

@AshCrypto My entire meme wallet after the latest Solana rug pull: $7 Bros we’re literally the same fr fr 💀😂

BREAKING: 🇮🇷 Iran has launched a new 10 million Iranian rial note. In dollar terms, this is worth just $7.

The two previous times ETH sat at this Fibonacci retracement level next move was a massive upside expansion (3–4x gains). The third time is playing out identically right now — if the level defends, history suggests we’re looking at another strong leg up toward the $7,900–$8,000 zone (and potentially beyond in the full cycle). Hold above $1,932 keeps the bullish extension alive.

@elonmusk @diana_dukic It's great, i like it! Will be better ? Yes

@diana_dukic What needs to be better?

Went from scrolling 24/7 to not even wanting to log in. X just hasn’t been hitting the same lately.

@stambouli_o1 @o1_exchange $OPAL DEX … where DDoS attacks go to cry in the corner. not just trading,we’re ghosting the entire internet. $OPAL DEX — the privacy king that laughs at downtime! #OpalDEX #PrivacyWins #DDoSWho? Opaldex.com

Apologize that @o1_exchange is down for 30 mins previously due to an unethical hacker DDOS attacking us. We'll fortify our security setup and rate limiting and ensure @o1_exchange traders with more stable trading setup.

🚨 $Opal DEX just crushed Base Crypto Builders and Investors - SXSW yesterday! 🔥 Rooftop penthouse takeover in Austin — Base builders, investors & the panel dropping straight alpha. Real vibes, privacy DEX energy maxed out! #OpalDEX #Base #Crypto 🚀

@NainsiDwiv50980 Impressive

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License

@DerrickEvans4WV Just like my wallet down 80% .This bullish?

🚨 JUST IN: Sec. Marco Rubio’s State Department cuts the fee to renounce U.S. citizenship from $2,350 to $450, an 80% reduction.