mahendradevireddy

Lead Product Manager - Interested in Tech, Cricket, Movies, Stocks!!!

[Sakana AI @SakanaAILabs]

Use Case 4: Computer Aided Design of Mechanical Iris

Can an AI generate precise, functional mechanical designs?

We tasked Fugu Ultra with creating a mechanical iris in CAD, similar to a camera aperture where multiple blades must move together to cleanly open and close a central hole.

Watch the animation below. We show both the detailed CAD and a simplified structural view for Fugu and the three frontier baselines.

The Results:

• Fugu Ultra generated a highly functional design. The blades rotate correctly around outer pins to fully open and close the aperture.
• Models A, B, and C failed the physical logic, resulting in gaps, weak linkages, and incomplete closure.

When a task demands exact spatial precision and structural reasoning, relying on a single model is simply not enough.

[WorldofAI @intheworldofai]

🚨BREAKING: OpenAI's Codex is now completely FREE to run locally with Ollama.

No API costs. No rate limits. 100% private on your machine.

You can now use both the Codex App and Codex CLI with powerful open-source models like DeepSeek V4, Gemma 4, and Qwen 3.6.

Here's how to set it up in minutes:

[Selina @selinatasnim1]

An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen.

I was sitting there testing my Polymarket AI system.

He glanced once.
Then again.

Finally he asked:

“Wait… what exactly is this setup?”

I told him:

• Claude Code
• a few open-source repos
• less than $25/month

That’s it.

He pulled up a chair immediately.

Turns out he worked on Anthropic’s agent team.

Then I showed him what the system was doing.

86 MILLION trades analyzed.

Every wallet.
Every entry.
Every exit.
Every profitable behavior pattern.

One simple prompt:

“Find wallets with 100+ trades and 70%+ win rate. Rank them by profit.”

Claude scanned 14,000 wallets in minutes.

Returned only 47.

The top wallets outperformed almost everyone else combined.

He looked at the screen and said:

“This isn’t normal analytics anymore.”

And that was only phase one.

The second system scraped hundreds of live Polymarket markets in real time.

Claude filtered:
• liquidity gaps
• timing opportunities
• whale activity
• spread inefficiencies

500 markets instantly became 35 high-quality setups.

Most trades were rejected automatically before I even saw them.

Then one trade closed live.

+$84.

He asked:

“How does it decide entries?”

3 separate AI agents:

• arbitrage
• convergence
• whale-copying

No shared memory.

2 agents agree = full position
1 agrees = smaller size
No agreement = no trade

That consensus logic alone removed a huge percentage of bad trades.

Then came the exit strategy.

The smartest wallets almost never hold until settlement.

So the bot exits before they do.

Profit targets trigger on:
• expected move completion
• unusual volume spikes

Basically:

It follows smart money…
then exits ahead of the crowd.

He stared at the terminal for a second.

“How much did you start with?”

$200.

27 days ago.

Current balance:
$14,300.

271 trades.
74% win rate.

Fully automated.

Before leaving he said:

“This is extremely close to the scenarios our internal teams simulate.”

The craziest part?

The entire stack costs less than Netflix.

AI isn’t just replacing workflows anymore.

It’s replacing entire trading teams.

Comment “Claude” and I’ll send the framework.

[mahendradevireddy @imahendrareddy]

6 catches dropped by the same player in one season! something to work upon!!
#IPL #PunjabKings

[shirish @shiri_shh]

we are so cooked 😭

these guys let Claude run wild on Wall St.

Look at this insider trades scanner it built in 4 mins that:

> reads every SEC filing where execs buy their own stock
> flags clusters where multiple execs buy at once
> emails me the top 3 trades every morning before the open

[mahendradevireddy @imahendrareddy]

#ComebackOfBhuvi

[Pietro Schirano @skirano]

In this example, it created apps for my Flipper Zero through a USB connection and pushed them successfully to the device.

Just an idea, a cable, and a model that could actually make it real.

[Sunil Gurjar, CFTe @sunilgurjar01]

Breakout Soon Candidate!
#AETHER

• Tight Range Action
• Holding Up-Well
• Strong Relative Strength
• Specialty chemicals + CRAMS (high entry barrier business) 🧪
• EBITDA ~25–30% | ROCE ~10.2 %| Almost debt-free 🟢
• Strong order visibility via long-term contracts 📦
• Expansion at Site 3++ & Site 4 → future growth trigger 🚧
• Export-focused, high-margin molecules driving growth 🌍

👉 Niche chemistry player — high potential if execution stays strong

Keep on Radar.
Potential Upside Stocks!
#stocks #trading #investing

[mahendradevireddy @imahendrareddy]

Could you please look into this? 🙏📉 #YouTubeShorts #YouTubeCreators (2/2)
Channel link :

https://t.co/wRHJa0SfAr

Our Panda (Pannu) and Monkey (Monu) Images for checking IP issue:

@YouTube @YouTubeIndia

[mahendradevireddy @imahendrareddy]

Hey @TeamYouTube @YouTubeCreators, I need some help! 🆘 I’ve posted 45 Shorts consistently, and the core metrics (Swipe-to-View ratio & Average View Duration) are really solid. However, the Shorts Feed hasn't pushed a single video yet. Is my channel stuck in a glitch? (1/2) 🧵

[mahendradevireddy @imahendrareddy]

The Core Suspicion (The IP Issue)
Or is there a chance my channel is shadowbanned? My main 3D animated character is a Panda, fully originally branded as "Pannu." I'm worried the algorithm is mistakenly flagging it as a copyright or reused IP issue and restricting my reach.

[Sunil Gurjar, CFTe @sunilgurjar01]

Father of Trading Psychology. Mr. Mark Douglas- Author of Trading in the zone, Disciplined trader. A must watch video.

Save it for later!🔖

[Alphamojo @Alphamojo1]

Paragh Parikh Flexi Cap Fund Direct Growth!🎯📊

[Sunil Gurjar, CFTe @sunilgurjar01]

Prof: Jiangs Predictions For The Next 2-4 Years:👇

[Sunil Gurjar, CFTe @sunilgurjar01]

Rule of thumb for beginners for investment in fundamentally solid stocks:

1. If price drops 10%, just hold
2. If price drops 20%, add 10%
3. If price drops 30%, add 30%
4. If price goes up 10%, just hold
5. If price goes up 20%, still hold
6. If price goes up 30%, sell 10%
7. If price goes up 40%, sell 20%
8. If price goes up 50%, sell 30%
9. If price goes up 60%, sell 40%
10. If price goes up 100%, sell all

[Suryansh Tiwari @Suryanshti777]

This is insane 😳
Most people are just using AI tools
Very few actually understand how they work

So I collected Stanford’s complete LLM curriculum
and turned it into a step-by-step learning path

Worth over $500
Giving it away free for the first 4,500 people

Transformers → Training → Alignment → Agents → Evaluation

Study this once and you’ll stop guessing with prompts
and start thinking like a real AI engineer

How to get it:
Follow must (so i can dm you)
Rt and comment 'LLM'