汽车间人
1.1K posts


做过 R3ORDR 抽奖白单的可以查询了!
- 我是一个也没中😂,还想做的,可以继续做。
要求:
🟢 绿色 = 已验证,WL 第一阶段已获批准
🔵 蓝色 = 已验证,WL 第二阶段已获批准
🔴 红色 = 继续向系统发送信号
查询入口:r3ordr.com
@R3ORDR #R3ORDR

中文

Chapter 2 🦄
Want to move from FCFS to WL, or to GTD?
UniPix now has a simple rating system for everyone who supports the project.
If you really want to be part of UniPix, prove it.
unipix.pro

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Own & Trade Challenge Rides.com 🚘
How to enter:
1️⃣ Own or Trade $RIDES.COM
2️⃣ Post a screenshot + your wallet in the replies
🎁 5 Winners get 250 Doma Points + 25 USDCe each
Winners drawn Friday evening.
app.doma.xyz/domain/rides.c…
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Just joined the @RAXFinance waitlist.
RAX is building the full-stack RWA layer for AI infrastructure — from compute to power.
Not just renting GPUs, but owning the grid that powers intelligence.
Early access 👉 app.rax.finance/waitlist/?ref=…
#RAXFinance #AIInfrastructure #RWA
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1% synthetic data in your training set is enough to break your model. Most pipelines don’t even realize they’ve already crossed that line.
Here’s what’s actually happening inside AI training today:
Every time a model trains on its own outputs, it loses something — rare knowledge, edge cases, the hard-to-capture signals that actually matter in the real world.
Researchers call this model collapse, and the math is unambiguous.
Most pipelines today are built on:
• Data with no clear provenance
• Black-box annotation workflows
• Models training on synthetic outputs
• Bias that compounds with every generation
That’s not a data strategy. It’s a feedback loop with a predictable outcome.
The fix isn’t more data. It’s better data.
Human-verified training data:
• Preserves long-tail and edge-case knowledge instead of compressing it
• Provides verifiable, audit-ready data lineage
• Routes tasks to credentialed experts, not the lowest-cost annotators
• Reduces systemic bias through structured, diverse expert pools
The models winning in high-stakes domains — medicine, law, finance — aren’t the ones trained on the most data.
They’re the ones trained on the most trustworthy data.
That’s what Perle is building.

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Welcome to @xAI and 𝕏, Benji!
Benji Taylor@benjitaylor
I’m honoured to be joining 𝕏 to lead design. I believe this is the most important platform in the world, and I can’t think of a more exciting place to help shape the future. I’m looking forward to working closely with @elonmusk, @nikitabier, and the rest of the team. I’m grateful for the opportunity, humbled to be part of it, and can't wait to get started!
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Perle Labs Season 1 Snapshot: Locked In 🔒
This milestone showed the true scale of the community building sovereign, human-verified AI data infrastructure.
Final points are now recorded and secured. You can check yours on the leaderboard: app.perle.xyz
Thank you to everyone who showed up, completed tasks, and helped shape this transformative season.
Details on contributor rewards and the next chapter for Perle are coming soon 🫡
GIF
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Element Lucky Draw 🎁
Introducing The Hollow @TheHollow_NFT — a raffle platform for community engagement on @Katana.
Early supporters who hold the NFT Pass may unlock future benefits, including potential airdrops and more.
🎟 200 FREE MINT spots on Element up for grabs!
📅 Feb. 15–17, 14 PM (HKT)
🔗 Join here: element.market/launchpad/even…
#ElementNFT #LuckyDraw #Giveaway

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@PerleLabs right
reason:Background depth sharpness consistent with aperture.
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Perle Human CAPTCHA #6 🏎️
One of these sports car photos is real. The other was generated by AI.
Comment “left” or “right” with your guess, and tell us why 👀
Submissions close Sat, Feb 21 at 11:59pm UTC. Answers revealed Sunday.

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Perle Human CAPTCHA #5 📸
Let’s keep your captcha streaks alive. One of these vacation photos is real, and one was generated by AI.
Which one is real? Reply "left" or "right" and explain why ↓
This week's submissions close Sat, Feb 21th at 11:59pm UTC. Both answers will be revealed on Sunday.

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