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@WHoS_Whooo

Your success lies in your own hands 🤝 Passionate about all things Crypto 🔗 https://t.co/0VzzzEToMC

가입일 Mart 2022
3.4K 팔로잉757 팔로워
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Seeker
Seeker@WHoS_Whooo·
I started sharing about $GRASS back in July 2023 when few believed in it. I never stopped promoting because I trusted the team's vision. As an OG user, I've earned $50K+ not just through sharing, but by educating others about $GRASS potential. It's not too late to join, @grass is just beginning its mission to 'bring the Internet back to the people' Register: app.grass.io/register/?refe… Earn 2X by using a Desktop Node: app.grass.io/dashboard/stor…
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一川drive 🔴
一川drive 🔴@yichuan_drive·
People complaining about recent @ethos_network Score's Nuke... Here're my takes 👀 Honestly, this is more fair in the long run 👇 > Too many users had/have inflated Ethos scores without having real credibility or influence outside the platform. That is dangerous for the product itself > Let’s say a protocol wants to target 1800+ / 2000+ Ethos users for giveaway or campaign. If those users genuinely have strong reputation and real communities, the protocol gets real distribution: people post about it, their audience notices, and new users discover the product > But if User has 1800+ while barely having any reach, no influence n no real community behind them, then that score has little practical value. At that point, Ethos becomes a weak signal n protocols will stop relying on it... > So yes, the score nuke makes sense. If Ethos wants to be useful for protocols/space n Web3 itself long term, high scores need to mean real credibility, not inflated numbers > Even my own score is probably still overinflated at some point, same as many others 🫡
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Hub.xyz
Hub.xyz@hubxyz·
Real images. Real audio. Real environments Collected by real contributors, across 150+ countries, on their phones. The Hub Platform waitlist is open. Secure your spot → platform.hub.xyz
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MunaXBT ⚡️
MunaXBT ⚡️@MunaPRR·
X gave me balloons🎈🎈 Happy birthday to me🎂🎉 Another year added!! Thank you lord 🙏🏼 If this pops up’s on your tl, please say a prayer for 🙏🏼
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sara
sara@saradotxyz·
@ethos_network better than watching it drop every day 🤣
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Ethos
Ethos@ethos_network·
We had originally decided to make the score roll out happen over 60 days After talking to the community we decided most people wanted to see the score impact happen immediately rather than "slow death" EIP-14 score adjustments are rolling out IN FULL right now.
Ethos@ethos_network

x.com/i/article/2039…

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Seeker@WHoS_Whooo·
@hubxyz We are ready for what’s next 🤝
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Hub.xyz
Hub.xyz@hubxyz·
The Hub AI Agent is fully trained and the community made it happen ✅ 12 months. Half a million contributors. The groundwork is laid. What comes next is bigger. And this time, it pays. Waitlist opens soon. USDC rewards await ⏳
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O_o
O_o@Darkbloodstorm1·
@jjatan1 i feel its fake number
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AQW_Riddler
AQW_Riddler@jjatan1·
OGs are Back !
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Coinfessions
Coinfessions@coinfessions·
I shilled my entire class a presentation about crypto for a final project and convinced my professor to buy in basically at the top.
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Quai Network ⚡️💵
Quai Network ⚡️💵@QuaiNetwork·
Dr. K explains Qi UTXO transactions:
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RawnX
RawnX@rawnxweb33·
Infofi really hurt ct creators When it was time to grow our accounts we kept posting nonstop about a project In the end > Some people got slashed 
> Some did not receive rewards 
> Some were not get into the leaderboard So what did they actually get ? nothing ( except 🍌 ) Infofi gives rewards but mostly to large CT accounts 
Small creators get nothing and just get used
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ryandcrypto
ryandcrypto@ryandcrypto·
just bear market things any other TFT enjoyers in chat?
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一川drive 🔴
一川drive 🔴@yichuan_drive·
Since 25th of March close to 55 Verified on @ethos_network by me personally 🫡 Number 55 is including those who verified + those who I checked and marked as clean, but still didn't get respond from them...
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一川drive 🔴@yichuan_drive

Decided to help other people to get 'Human Verified' on @ethos_network, so more people can carry to Human Verified Tag 🫡 So, here's the way how it gonna be: 1⃣ I will verify from 2 to 4 Users per day, as I need dig before verify random dude. So, please be patience n don't over-tag me 2⃣ Drop your profile below 3⃣ I will check every profile manually, that's why it gonna take longer than needed (if u don't like the way, be my guest to find other Validator 😅) 4⃣ Video call preferable (if u were doxxed), but voice call is also alright 5⃣ If u have 2/3/4 accs on Ethos, better don't tag/don't drop profile Have a nice day ahead, folks 🤜🤛

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Quai Network ⚡️💵
Quai Network ⚡️💵@QuaiNetwork·
7.1M+ blocks. 70.5M+ transactions. 90K+ wallets. No downtime. No pivot. Same mission since day one.
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一川drive 🔴
一川drive 🔴@yichuan_drive·
Decided to help other people to get 'Human Verified' on @ethos_network, so more people can carry to Human Verified Tag 🫡 So, here's the way how it gonna be: 1⃣ I will verify from 2 to 4 Users per day, as I need dig before verify random dude. So, please be patience n don't over-tag me 2⃣ Drop your profile below 3⃣ I will check every profile manually, that's why it gonna take longer than needed (if u don't like the way, be my guest to find other Validator 😅) 4⃣ Video call preferable (if u were doxxed), but voice call is also alright 5⃣ If u have 2/3/4 accs on Ethos, better don't tag/don't drop profile Have a nice day ahead, folks 🤜🤛
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Seeker@WHoS_Whooo·
@hubxyz Data becomes the most legendary asset 🤑
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Hub.xyz
Hub.xyz@hubxyz·
AI models are eating faster than the internet can grow Epoch AI published one of the most important papers in the AI industry. They estimated the total stock of quality human-generated text at ~300 trillion tokens, and projected an 80% probability that frontier models exhaust it between 2026 and 2032. We are inside that window now. But the real crisis is worse than the paper predicted. The supply isn't just finite. It's shrinking. Over 74% of newly created web pages now contain AI-generated text. The internet is being contaminated by the very models it trained. Every generation of AI pollutes the training data for the next one. The industry tried synthetic data as a fix. The research killed that idea. Models trained on their own outputs degrade. They lose the nuance and variability that made human data valuable. Without real human data as an anchor, quality collapses. Meanwhile, training costs keep climbing. GPT-4 cost ~$40M. The current generation is approaching $1B. The next: $10B+. Every dollar spent scaling compute accelerates the depletion of the data these models depend on. Ilya Sutskever said it at NeurIPS: "We've achieved peak data. There's only one internet." And that's just text. The industry is shifting multimodal. Models now need real-world audio across hundreds of languages. Real images from real environments. Real video from natural conditions. That data doesn't live on the internet. It hasn't been collected yet. The race for compute is solved by capital. The race for data has no equivalent solution. You can't manufacture more internet. You can't synthesize what doesn't exist. And you can't scrape what was never captured. This is what @hubxyz is building. The data AI needs next doesn't exist online. It exists in the real world. And someone has to go collect it
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Epoch AI@EpochAIResearch

Are we running out of data to train language models? State-of-the-art LLMs use datasets with tens of trillions of words, and use 2-3x more per year. Our new ICML paper estimates when we might exhaust all text data on the internet. 1/12

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