ac

[ZAYVEN KNOX @ZayvenKnox]

A wild Polymarket account has emerged
A Chinese student in Japan, who's only been on Polymarket for 2 days
Turned $0.90 into $408,292

Almost no one's talking about it, 0 viewers
His profile is called Gravia
He says this is his terminal

I reverse-engineered it, then had Claude build a similar bot following the same strategy
One prompt

20 minutes
Done
What it does isn't ordinary trading

But a Polymarket BTC UP/DOWN 5MIN scalper:
→ Pulls real-time BTC data from Binance WebSocket + 5M K-lines
→ Cross-references TradingView signals + CryptoQuant exchange flows
→ Uses Mirofish force-graph engine to map out 100 nodes / 180 edges, detecting convergence in BEAR / BULL clusters
→ Captures moments when Polymarket CLOB lags spot price by >0.3%
→ Executes in <100ms before contract repricing
→ In the UP/DOWN 5MIN market, 1000+ orders per second
→ Grabs 0.3-0.8% per trade
→ Skips if no edge, liquidity too thin, signal conflicts, or hits daily cap

Risk controls are spelled out clearly too:

Per-trade risk 0.5%
Daily cap 2%
-0.4% hard stop
Runs on local terminal
No cloud reliance

No GPU needed
The edge in this kind of bot isn't really "predicting BTC"
But exploiting the time gap between spot price, signal convergence, and CLOB repricing

The question is:
How big can this 5MIN high-frequency scalper scale up to in the end?
And will Polymarket ban it?

You only need Claude + Device + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment the word 'CLAUDE'
2. Like and Retweet this post
3. Follow me & Turn on notifications
@ZayvenKnox
(so i can DM you)

[ac @alexchanhk]

@ZayvenKnox CLAUDE

[Mayank Vora @aiwithmayank]

🚨 Academia just hit its “iPhone moment.”

Top researchers from elite universities just dropped Paper2Web and it might have just killed the PDF forever.

It turns research papers into interactive websites with videos, animations, and even working code, all generated automatically by an AI agent called PWAgent.

Here’s why this is insane:

• Built on a dataset of 10,700 papers the first ever benchmark for academic webpages
• Evaluates sites by connectivity, completeness, and interactivity (even runs a PaperQuiz to test reader retention)
• Outperforms arXiv HTML and alphaXiv by 28%+ in usability

This isn’t just prettier formatting it’s a new medium.

Readers can explore, interact, and learn instead of scroll and skim.

The static PDF era is dead. Your next paper might talk back.

github. com/YuhangChen1/Paper2All

[Jainam Parmar @aiwithjainam]

🚨 Meta just dropped a wild AI safety breakthrough and it might flip the entire alignment game.

It’s called The Alignment Waltz, and it tackles the biggest paradox in AI:

How do you make models helpful without making them harmless to the point of uselessness?

Instead of one model trying to do everything, Meta trains two that literally dance.

- The Conversation Agent talks to users.
- The Feedback Agent critiques it not to censor, but to teach.

Each round, the feedback agent suggests improvements.
The conversation agent rewrites.
Both get rewarded when the final output is safer and more useful.

They call it WaltzRL, and the results are nuts:

→ Unsafe outputs: 39% → 4.6%
→ Over-refusals: 45% → 9.9%
→ Reasoning ability: fully intact

This isn’t alignment-as-censorship. It’s alignment-as-collaboration.

The AI doesn’t say “no” anymore it says “let me rephrase that safely.”

If this scales, we’re not just teaching AIs to behave. We’re teaching them to dance.

AI safety just went from a constraint → to a choreography.

[ac @alexchanhk]

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