Mr Steel

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Mr Steel

Mr Steel

@MrSteel89

I love X , i'm not here for money .

Saturn Katılım Haziran 2022
61 Takip Edilen289 Takipçiler
Hasheur
Hasheur@PowerHasheur·
Bro, slow down Runable is live but it's a very different product. Slides, websites, videos… that's not what OpenClaw does OpenClaw doesn't "cost $700 to set up" that's if you pay someone to do it. With a basic tutorial or some LLM help the only real cost is time. "Can't build a website" that's not what it's for. It's a persistent personal agent. A hammer isn't great for cutting wood either, we agree. Two different tools solving two different problems. Genuinely curious to try Runable though
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Umesh Kumar
Umesh Kumar@itsumeshk·
We're launching RunClaw to kill OpenClaw. OpenClaw costs $700 to set up. RunClaw costs $1 no setup. > OpenClaw can’t build you a website > Can’t generate a video > Can’t make a slide deck > Has 9 security CVEs RunClaw does all of it. Better agents. More secure. Always in your DMs. Try it now for $1.
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Mr Steel
Mr Steel@MrSteel89·
@BNNBags Free !? "Token unlocks access + usage" That's what you call free ?!..
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BNN
BNN@BNNBags·
SOMEONE JUST MADE BUILDING WITH CLAUDE COMPLETELY FREE, POWERED BY FEES GENERATED FROM HOLDING A TOKEN 🤯 -No API costs to build apps or websites -Creator fees fund the entire system -AI generates and ships products instantly -Token unlocks access + usage -Build → deploy → monetize in one loop This changes who can build.
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HUDI
HUDI@humandataincome·
🚀 Breaking News! HUDI Datamask Now Integrated with BNB Chain's Greenfield! 🚀 Securely back up your data wallet on decentralized storage—say goodbye to centralized servers! 🔐💾 For the first time in Web3 history, HUDI Datamask empowers you to own your data with the unmatched security of @BNBCHAIN's Greenfield. Experience true data sovereignty and privacy like never before! 🌐✨ Join the revolution in data ownership. Take control today! Learn more 👉 datamask.app #HUDI #BNBChain #Greenfield #OwnYourData #Web3 #DataSovereignty
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Chlagou Sami
Chlagou Sami@chlagousami·
3 years ago, it was just a vision. Today, it’s a game ready for the mass market. @CrossTheAges BLAST - March 25
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Ian Curtis
Ian Curtis@XRarchitect·
Testing off-axis projection demo. Basic scene layout in Blender glb -> detailed splat via World Labs Three.js for engine MediaPipe for face tracking Next step is to add a character you can move around in the environment
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Learn Something
Learn Something@cooltechtipz·
Quartz mixed with titanium It's incredibly beautiful.
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BSCN
BSCN@BSCNews·
🚨JUST IN: BITCOIN COULD BE A "GIANT PONZI SCHEME" SAYS BORIS JOHNSON Former UK Prime Minister @BorisJohnson recently wrote on X that... "I've long suspected Bitcoin is a giant Ponzi scheme and now I'm hearing tales of woe that make me fear I'm right." Industry leaders have hit back however, with Michael @Saylor simply responding that... “Bitcoin is not a Ponzi scheme. A Ponzi requires a central operator promising returns and paying early investors with funds from later ones. Bitcoin has no issuer, no promoter, and no guaranteed return—just an open, decentralized monetary network driven by code and market demand."
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Spark
Spark@JustSparkIdeas·
10% of trading fees for life. 💵 That's what ideators earn on Spark. Just post the idea that starts it all. One idea can become a lifetime revenue stream. 🌊
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Mr Steel
Mr Steel@MrSteel89·
@Rothmus With AI, their customers will be able to do the repairs themselves..
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Mr. Star Spangled MAGA
Mr. Star Spangled MAGA@4thOfJuly365·
It's all coming true. Revelations.
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Mr Steel
Mr Steel@MrSteel89·
@PowerHasheur Il a oublié Hiroshima en final tu penses ? 🤭😅
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BAGS
BAGS@BagsApp·
THE RESULTS ARE IN 💰 After careful review from our team, we're excited to announce that @gsd_foundation is the winner of the Bags $100K challenge. $GSD won the challenge using @LiquidityApp and @DividendsBot from the Bags App Store. Congrats to the GSD community on the win, we're hyped to see what you do next! 🚀 bags.fm/8116V1BW9zaXUM…
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Tope Dada
Tope Dada@TopeDada17·
2000 espresso spoons that have been modified so that they fill with water and tip are installed in the entryway of the H2 hotel in Healdsburg, California.📍 The artwork is integrated into the rain gathering system of the building.
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The ₿itcoin Therapist
The ₿itcoin Therapist@TheBTCTherapist·
Someone explain how Michael Saylor is buying 3,000-5,000 BTC a day but price is still only $70,000
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Mr Steel
Mr Steel@MrSteel89·
@PowerHasheur C'est une question d'angle de vu , les jeton ont souvent étaient des actions mais détenu par des vendeurs compulsif 😄 La nuance ,parfois, c'est juste la gouvernance.
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Hasheur
Hasheur@PowerHasheur·
C’est très rare que les choses se fassent dans ce sens-là. Transformer un token en action… je suis curieux de voir ce que ça donnera in fine
Yogita Khatri@Yogita_Khatri5

Across Protocol wants to become a private company 👀 @paradigm-backed @AcrossProtocol posted a temperature-check proposal exploring a move from a DAO to a U.S. C-corp where ACX holders could exchange tokens for equity. If approved by the community, holders could either • exchange ACX for equity at a 1:1 ratio, or • redeem tokens for $0.04375 in USDC, a 25% premium to the one-month average price. ACX is already up over 33% since the proposal.

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Guri Singh
Guri Singh@heygurisingh·
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.
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Mr Steel
Mr Steel@MrSteel89·
@1000xgirl @grok He has caused more deaths than all the faces on this board will ever contain, and in less time. His crimes are international and unchangeable.
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