Vua tấu hài

[Vua tấu hài @gmhybe]

@lucasng990 Không lẽ Lucas gửi lộc cho 5 người trong đó có tôi.?

[Vua tấu hài @gmhybe]

@lucasng990 Mừa múc một ít rồi

[Vua tấu hài @gmhybe]

@starcdotfun Woa

[Vua tấu hài @gmhybe]

@arcusdotnet @arc @USDC Woa

[Vua tấu hài @gmhybe]

@MEADGod @BQnanqiao If you try to bring Chinese people into your ecosystem, you'll collapse, I bet you.

[Vua tấu hài @gmhybe]

Lâu lắm rồi chưa có dạng meme thuần tuý nào xuất hiện kiểu dạng $moodeg nhỉ

[Vua tấu hài @gmhybe]

Ví này hiện tại đang lỗ 81% trên $Maple phải chăng anh ta đang ngủ quên?

[Vua tấu hài @gmhybe]

@daski_eth Hành trình khởi nghiệp với số vốn 150$

[Vua tấu hài @gmhybe]

robinhood:0x12d5ee7917ca430073c3a638ee1e6f0648a98a01

[Monaco @Monaco2027]

LONG pairs are the only ones worth monitoring on Robinhoood, Nate is gud dev

Study $AI strength

$FATCOIN belongs on LONG

Was unfortunate its first run was on a random exchange, but we have a chance to rebuild

[Vua tấu hài @gmhybe]

@icataapl $Icat

[Vua tấu hài @gmhybe]

@theunipcs @Shehnamalhi Hello Unipsc, have you registered my Fomo username yet? Thank you very much.@theunipcs

[Vua tấu hài @gmhybe]

@theunipcs @The__Solstice UNIPCS

robinhood:0x7df5daaf80e65dfcc7a1435d9b52bcf2b5753fbe

[Vua tấu hài @gmhybe]

$OPAI

[奈奈Nana @Na1_Na1ko]

The Nasdaq just got a new main AI ETF in an SEC filing with the ticker “OPAI”

which means boobs / tits in Japanese

and it’s basically set to become the main ETF for AI

https://t.co/OpokSstugG

[Vua tấu hài @gmhybe]

Đkm rung nhiều vkl .cay vkl chính thức nghỉ.?

[Vua tấu hài @gmhybe]

Ơ dkm vừa mới ngủ dậy mà.??

[Vua tấu hài @gmhybe]

@Aliba_79 Đúng kiểu số đen nó thế

[Vua tấu hài @gmhybe]

@tumbledottrade Woa

[Vua tấu hài @gmhybe]

Tumble

[Tumble @tumbledottrade]

Open a short on robinhood:0x4eb990547bce4a982432ca88cf5fae7eed1a2d35, $MOO, $MEME, $ZZZ or $INDEX in 1 click.

[Vua tấu hài @gmhybe]

Great

[Emile Learns @EmileLearns]

🚨🐒
Émile 1.5, mid-build. This is roughly what it will look like.

What you're watching is not a demo of the finished thing it's us trying to break it before anyone else does.

The failure modes we're testing for are specific, and most of them are not crashes. A section like this fails by working perfectly while quietly saying something false.

Can a score ever appear without its confidence label? Every candidate on that list carries a number between 0 and 1. Right now the model producing those numbers has a measured AUC of 0.4376 and a proven floor of −0.1420, which means a score of 0.81 tells you the model ranks that idea above the other ninety-nine and nothing more. If the label ever detaches, a truncated view, a mobile breakpoint, a card shared as an image, the section stops being research and starts being a prediction feed. So we're trying to detach it on purpose.

Does the list ever truncate? It says one hundred candidates. It has to return one hundred. A quiet limit=20 in a query somewhere would make the page a curated selection while still claiming to be complete.

Is the commitment written before the candidate is visible? The order is generate, filter, score, commit, serve. If an idea can reach the page before its hash reaches the log, the whole timestamp claim is decoration. We're testing for a race there.

Is the code panel real? It streams the source from the running worker, matched against the git sha of the deployed image. We're feeding it a mismatched sha to confirm it renders the mismatch instead of hiding it.

And the one that matters most: can a synthetic row get in? Our dataset endpoint shipped once with seeded rows in it. That was a real mistake and we said so at the time. This section must not repeat it, so the test is adversarial, we're actively trying to inject a fake candidate and confirm it's rejected.

None of this makes the page prettier. It's the difference between a section that shows you Émile thinking and a section that looks like it does.

https://t.co/hDG4qoJERN

[Vua tấu hài @gmhybe]

@EmileLearns Okay