dumpling.sol

I have felt like the shoemaker wearing no shoes for the past 8 years. A designer without a portfolio. Check it out and lmk what you think. Showcasing design for these guys @reaversnft @MoneyBoysNFT @Ghions_ @duelarenasol @LaunchLabs_sol 🤝 LINK: dumpling.wtf

@MoneyPrinter0x Am I too late for this

re: "Project Higherliquid" - $HIGH gm fellow $HYPE maximalists currently, I am betting my career on building a first-of-its-kind Equity Perps & Equity Options infrastructure on the Hyperliquid ecosystem, with OG status (100% revshare & five 80% revshare invite links per OG user) for our first 1000 users, in true hyperliquid fashion codename: "Higherliquid" project higherliquid will be exiting Stealth Mode in coming Tuesday, April 14 early access invites will start being sent out at 9:00AM PST tomorrow - dms are open. Hyperliquid.

@TomBilyeu @bryan_johnson You have been outside. You have shit on your shoes. You don’t want that shit inside your home. It’s not rocket science.

@bryan_johnson No shoes? What's the impact?

This is it. Everything learned spending millions on longevity. From: Your Immortal Unc and Auntie. To: Our Immortal nieces and nephews. 0. Sleep is the world's most powerful drug. 1. Be in your bed for 8 hours 2. Same bedtime every night, any time before midnight 3. Don’t eat right before bed 4. Calm foods for dinner 5. No screens 1 hour before bed 6. Avoid added sugar (be aware it’s in everything) 7. Avoid all things in an American convenience store 8. Avoid fried foods 9. Shoes off at the door 10. Eat whole foods, particularly veggies fruits nuts legumes berries 11. Walk a little after meals or air squats 12. Get your heart rate high routinely 13. Lift heavy things 14. Stretch daily 15. Water pik, floss, brush, tongue scrape, morning and night 16. Make an effort to drink water 17. Get sunlight when you wake up (UV is low) 18. Protect skin in midday sun 19. Stand up straight 20. See at least one friend once a week 21. Avoid plastic where you can (in all things) 22. Circulate air in rooms 23. When stressed, breathe, learn to calm your body 24. Go to the dentist 25. Avoid sitting for long times 26. Protect your hearing, the world is too loud 27. Alcohol is bad for you 28. Finish coffee before noon 29. Avoid bright lights after sunset 30. If obese, look into a GLP 31. Sleep in a cold room 32. Texting while driving is dangerous 33. Turn off all notifications 34. Limit social media use 35. Don’t smoke anything 36. If you struggle to sleep, read a physical book before bed 37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music 38. The body is a clock and loves routine. Have a daily morning and evening schedule. 39. Avoid long distance travel where you can 40. Baby steps first: incorporate new things slowly 41. Do less… most things don’t work. Bonus points if you get your blood checked. Start here, it will change your life.

HOLY FUCKING SHIT OMG CLAUDE JUST CRACKED THIS SHIT, THANK YOU @AnthropicAI THANK YOU @DarioAmodei NAMING MY KID AFTER YOU 😍 blockchain.com/explorer/addre…

@_shalinshah_ @heyhyperai Looks like a non-designer vibe coded it in claude design. It does look good for that level tho

our website is so good you'll wanna lick it heyhyper.ai

@addyosmani archon.diy flueframework.com It surprises me these articles never send any useful tools based on the vast amount of text they contain

@nothiingf4 Can recommend you checking out archon/ archon.diy

@0xMovez Complete bs.

ex. Jane Street quant built a Polymarket bot with a 99.3% win rate and turned $1.2K → $865K in 6 months I analyzed his 29K trades with Opus 4.7 → reverse-engineered strategy based on 72M trades dataset rented VPS + connected Hermes agent + Binance API result 363% ROI in 3 days run your agent in 5 simple steps: • rent a VPS on Hetzner - $6.00 • install Hermes CLI using one-liner code - free • plug Opus 4.7 + TG bot + Polymarket API • run paper trading on 72M trades (John Backer) dataset • sent Hermes step-by-step prompts from article apply Kelly Criterion sizing & give agent at least $100 to run {50-100} trades for self-learning bot profile: polymarket.com/0x751a2b86cab5… start copy-trading in 2 clicks using Ares: t.me/AresProTrading… self-learning agents combined with quant models are the best setup for Polymarket crypto trading.

"The Lex Fridman - Elon Musk 2027 AI Warning conversation was deleted..." An AI conversation involving Elon Musk and Lex Fridman left a lot of people unsettled… Because the deeper they went into the future of AI — the darker the implications started sounding. @LibertyLockPod

@Rob_Jones19 SOL ZCASH HYPE BTC

Haven’t had this many positions open in ages. I normally keep the portfolio super tight, usually just 1-3 majors. But the liquidity setup finally looks interesting enough to deploy more. Took a light leveraged position in solana:So11111111111111111111111111111111111111112 when the risk gauge turned. Currently in 4 alts (hyperliquid:native counts in my majors rotation) + bitcoin:native. What’s your current allocation looking like? Bullish enough to add, or still mostly cash? Keen to see where we are all at.

@Maninthebox235 @ashwingop @glean Tell me you don’t understand the post without telling me

@ashwingop Already exists @glean is leading the way!

@binance That’s the alpha fr

no word begins with A and ends with A

New Anthropic research: Natural Language Autoencoders. Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read. Here, we train Claude to translate its activations into human-readable text.

Today we're announcing the Legora aOS™. It's something we've been building toward for three years, and I think it's the most important thing we've ever shipped. The legal industry has had AI that assists with individual tasks. What it hasn't had is AI that drives entire work products from start to finish. The Legora aOS changes that. It's a single connected system – matter intake, research, drafting, review, service delivery – orchestrated by the new Legora Agent, running continuously, grounded in your organization’s own knowledge. The legal teams who use it won't just be faster. They'll operate at a scale that simply wasn't possible before. We've spent three years being told the legal industry moves too slowly to change. We've also spent three years watching it change faster than almost anyone predicted. The best time in history to be a lawyer starts today. @WeAreLegora is built to be the partner that makes it possible. Read the full announcement: legora.com/newsroom/legor…

@penguinVALORANT I feel most people has problems with neons ultimate and movement, but its also the movement that makes neon, well, neon. Removing movement means its just another agent that can run fast to rotate. Could have instead made neon lose all speed when hit etc. Useless nerf tbh

@VALORANT Horrible

Chat the day has come, Neon and Shotgun nerfs are HERE.

@gs_ai_ Play Beethoven virus

9/ And plays piano.

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.

SELL ALL GAMESTOP STOCK IMMEDIATELY

Just sayin bitcoin:native

@Shashikant86 @FredKSchott That is a lot of emojis

🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott @FredKSchott CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 + Harness 🧰 + Memory 🧠 Almost all the feature of Flue plugged with @LangChain Deepagents harness built by @hwchase17 and team @Vtrivedy10 @sydneyrunkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : super-agentic.ai/pyflue ⭐️ GitHub: github.com/SuperagenticAI… 📚Docs: superagenticai.github.io/pyflue/ 📙 Blog Post: super-agentic.ai/resources/supe… #HarnessEngineering #AgentHarnesses

@dan__rosenthal Built the same thing but as an actual system you can use directly on any platform. Employees just go to claude.ai or chatgpt.com and start using it. teamkit.ai

‘Service-as-a-software’ is here... We moved our entire company brain to GitHub and wired 25+ tools through MCPs. Any one of our 20+ team members can now spin up a contextualized AI assistant in seconds. The system has 5 layers: 1. Markdown company OS ↳ SOPs and campaign playbooks converted into .md files using research agents ↳ Most SOPs turned into agents that handle 70% of the task ↳ Output: 50+ actionable Claude skills 2. Context environment ↳ One Company OS GitHub repo propagated to every session via org-wide plugin ↳ Each client gets their own repo with Slack DMs, call transcripts, GDrive changes, and campaign data auto-synced through n8n ↳ Zero configuration needed per session 3. MCPs ↳ 25+ tools connected including InstantlyAI, HeyReach, Apollo, HubSpot, Slack, Notion, n8n, Supabase, Pinecone, Browserbase, Apify ↳ Not just research. Action through AI. ↳ We went from researching work to actually doing it 4. Self-improvement engines ↳ Pinecone database stores 1000s of LinkedIn posts and outbound campaigns with performance metrics ↳ Copywriting skills query this data to find winning formats to reuse ↳ Human corrections get fed back in so the system gets sharper over time 5. Operating principles ↳ Every repo has a safeguard file that prevents certain operations ↳ 100% AI outputs are not acceptable, everyone owns their work and every mistake ↳ Agent swarms split one task into 5-20 sub-agents when needed Our goal is to become the most advanced AI-native services company for our niche (GTM).