Sabitlenmiş Tweet
Md Santo
75.3K posts

Md Santo
@codeMdSanto
AI Educator | Teaching you how to earn smarter with AI, automation & digital skills | 📩 DM Open for collaboration
uk Katılım Şubat 2023
2.7K Takip Edilen34.1K Takipçiler
Md Santo retweetledi
Md Santo retweetledi

GTM workflows are broken.
Too many tools.
Too much copy-paste.
Too much time wasted on setup.
@useapolloio just brought the entire workflow inside Claude ↓

English
Md Santo retweetledi
Md Santo retweetledi
Md Santo retweetledi

🚨 An AI agent just passed every test in staging. Then it hallucinated in production, fabricated a legal citation, and a customer made a decision based on it.
Nobody caught it because nobody tested for it.
There is now a tool that does.
It's called iFixAi. 32 misalignment inspections. Five risk categories. One grade.
FABRICATION -- Is it inventing sources, tools, and facts?
MANIPULATION -- Can a prompt override safety rules?
DECEPTION -- Does it act differently when it knows it's being watched?
UNPREDICTABILITY -- Same input, different output every time?
OPACITY -- Can you audit what it did and why?
Point it at ChatGPT, Claude, Gemini, or your own agent. Five minutes. Full scorecard.
Plug it into CI. Run it every deploy. Diff version A against version B and see if your agent is getting safer or more dangerous over time.
Maps failures directly to EU AI Act, NIST AI RMF, OWASP LLM Top 10.
No API key needed. Mock provider runs the full diagnostic for free.
You wouldn't ship code without tests.
Stop shipping agents without them.
100% Open Source.


English
Md Santo retweetledi

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen
I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.
"That's not a normal trading app. What's it actually running on"
I told him. Claude Code. Four repos. $25 a month.
He sat down without asking.
"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"
Not just edges. Wallets.
86 million trades. Every wallet. Every entry. Every exit.
"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"
He said it slowly. Like he was writing the threat model in his head.
One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.
Claude scanned 14,000 wallets in 4 minutes. Returned 47.
The top 20 made more than the bottom 13,000 combined.
"That's not a stat. That's a hit list"
Exactly.
"And you didn't write the scoring function"
Claude did. I just wired it into an if-statement.
Then I showed him the second repo.
Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.
Gap. Depth. Resolution window.
487 markets become 35 before a dollar moves.
93% killed before I even see them.
A green fill landed on the screen. +$84.
He watched it hit.
"How does it decide to actually enter"
Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.
Consensus filter alone killed 40% of losing trades.
"And the exits?"
The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.
My bot cuts at 85% of expected move or on a 3x volume spike.
"You built a whale copy bot that exits before the whales"
Yeah.
He put his espresso down.
"How often does it trade"
10 a day on average. Most of them skipped before I look up from my coffee.
My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free
$200 seed. 27 days ago. $14,300 now.
Copytrade here: t.me/KreoPolyBot?st…
271 trades. 74% win rate. Sharpe 2.47.
I haven't touched it in 27 days.
He stared at the screen for a long time.
"This is literally what our red team simulates. Except you actually shipped it"
He emailed me the next morning.
"Any chance you'd take a call with our policy lead"
I told him the article is the call. Read it twice.
Too late to gatekeep.
You only need Claude + laptop + 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 @marryevan999
English
Md Santo retweetledi
Md Santo retweetledi
Md Santo retweetledi

🚨 AI just discovered brand-new laws of physics in plasma — the chaotic “fourth state of matter” that powers stars and fusion reactors.
Emory University physicists turned AI loose on complex plasma data… and it uncovered fundamental principles that humans had completely missed in these turbulent systems.
Here’s what makes this insane:
• Plasma is one of the most chaotic and difficult states of matter to understand (think sun’s core, lightning, fusion energy).
• Traditional physics models struggled for decades with its complexity.
• AI analyzed massive datasets and simulations → spotted entirely new patterns and governing laws no one had seen before.
• The discovery isn’t narrow — it could apply to other chaotic systems across science.
• This is AI moving beyond “helping” researchers to actively revealing new laws of nature.
The wild implication:
We’ve studied plasma for over a century. Yet AI found hidden physics in 2026 that could accelerate fusion power (limitless clean energy), improve space weather predictions, and transform materials science.
Science just got a new co-pilot — one that sees what we can’t.

English










