
LolloL🙂
415 posts


@SummerInNP @labstamil Har chiz mein physics chahiye tho documentary dekhle 🤡
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@labstamil Don't bring Bahubali in the same sentence as Dhurandhar. Bahubali was horrible, over the top, physics defying action movie
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Such a reaction from the flagbearer of Dravidawood shows that Dhurandhar has definitely hit a nerve. Even Aditya may not fully grasp the magnitude of his impact. Tamils have never watched a Hindi cinema in such droves, with such craze, ever before. Indian cinema shall no longer remain the same. What Baahubali did for civilizational consciousness, Dhurandhar has done for national consciousness. Jai Hind.
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@JaiSaini3008 Offcourse it's a shithole, why did u even go to dumeel land 😭😂
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@prakash_pov Srilankans should have completed their job, sambaars r getting too brave 🤡!!!
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Southern Andhra, everything below Pennai Aaru, should be annexed with Tamil Nadu. Do whatever you want with the remaining forbidden land.
Indian Tech & Infra@IndianTechGuide
🚨 Telugu scholar Garikapati Narasimha Rao urges renaming Andhra Pradesh to ‘Telugu Nadu,’ similar to Tamil Nadu.
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@viratveer039 Absolute facts and also all major kingdoms like Rastrakutas, Rattas, chalukya, Hoysala and vijayanagara are from North Karnataka , south kannadigas only have Tippu Pappu 🤡
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@viratveer039 @PMOIndia Ur doing a great job owning dumeels bro @viratveer039 though u need not to fight against kannada
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As a Telugu from Andhra, I’m proud that linguistic reorganisation shaped India.
#Tulunadu ~ once part of the #MadrasState - has its own language, Tulu, & rich coastal identity around Mangaluru.
If language was the basis for states, doesn’t Tulunadu deserve a separate state too?

Vije@vijeshetty
@VarierAravind #TulunadState is the need of the hour to protect the antiquity and heritage of Tulu culture, langauge and the land Tulunad. @MinOfCultureGoI @AmitShah @AmitShahOffice @PIBHomeAffairs
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AI is transforming India's IT sector, not ending it. While it automates routine tasks like coding and testing—potentially displacing entry-level jobs (e.g., reports show 25-35% productivity gains and reduced fresher hiring)—it creates new roles in AI development, data science, and ethical AI. India ranks 3rd globally in AI competitiveness, suggesting net job growth with upskilling. Diverse experts see both risks and opportunities ahead.
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"The Indian IT Sector will face mass unemployment by 2029-30."
When Dr. Ankit Shah said this on my podcast, I paused.
India runs on IT. It sounds impossible.
Let's look at his logic:
Who pays the IT salaries? - It's mostly Western Clients through their Banks & Financial Institutions.
But now the West is moving toward Digital Currencies (CBDCs).
So when the Digital Dollar/Euro arrives, the traditional banking layer vanishes & the margin for outsourcing work to India goes away.
Anki predicts that your clients & the traditional playbook won't exist because of this change.
So the projects won't exist.
He argues the West kept India busy with the Service Sector using the Dollar arbitrage.
They paid us in Dollars to stop us from building our own Manufacturing, Defense, and Space sectors.
This has led to us having engineers coding apps for US banks instead of building jet engines for India.
By 2030, he believes that the English language advantage dies.
The Dollar arbitrage dies. And the Indian IT hub faces its biggest shock.
Do you agree? Let me know in the comments.
Disclaimer: These opinions have been shared by the guest & do not represent my personal views.
#ITSector #Recession #AI #AnkitShah #Geopolitics #CareerAdvice #Podcast #KushalLodha
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The reason this feels so good is because your brain was taxing you for a week straight and you didn’t even notice.
Every time that undone task crossed your mind, your anterior cingulate cortex fired a conflict signal. Small. Subtle. But metabolically expensive. Your brain was running a background process on that 5-minute task 24/7 for 7 days, burning glucose and generating low-grade cortisol each time it surfaced.
Neuroscientists call this the Zeigarnik Effect. Incomplete tasks occupy more mental RAM than completed ones. Your brain literally cannot let go of open loops. So that “5 minute task” was never 5 minutes. It was 5 minutes of execution plus 168 hours of ambient cognitive load.
That relief you feel when you finally do it? That’s a dopamine spike from closing the loop combined with a cortisol drop from removing the threat signal. Your body just stopped paying a week-long neurochemical tax on a debt of 300 seconds.
This tells you everything about how procrastination actually works. The loop runs like this: task feels slightly aversive → amygdala flags it → you avoid it → avoidance provides immediate relief → brain learns avoidance = reward → task stays open → background stress accumulates → task feels MORE aversive than it originally was.
The fix is stupidly simple and Huberman talks about this constantly. You don’t need motivation. You need a forcing function that bypasses the amygdala’s threat assessment. Set a timer for 90 seconds. Tell yourself you’ll stop after 90 seconds. Your prefrontal cortex can override 90 seconds of discomfort. Once you start, the dopamine system switches from avoidance to pursuit, and the task completes itself.
The 5-minute task was never hard. The starting was hard. And every hour you waited made starting harder.
bridget@pacinocrave
just finished a 5 minute long task I could have done a week ago
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@naveenkopparam Everybody knows bangalore is run by outsiders, kannadigas can't even build a tier - 2 city, NK is in shambles, there's nothing in Karnataka apart from Bangalore 🤡🤡
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Everything islam touches, it turns to dust
InfantryDort@infantrydort
Damn. Iran used to look like this?
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Rest of India knows very little about Telugu psychology and temperament. It is a Good thing, If India needs Best Administration and Stewardship, Choose Telugu Leaders.
We put people in line. Taata Teestam.
Telugus Are Born Rulers. Beware. ⚔️
I Like This Map ♥️
( Copy pasted for reach @LibtardKillerX ). Hope OK. Adding my image too.
Akhanda Andhraka Resonating 🔥
#Telugu #AndhraPradesh #Andhra #Telangana #TFI #OG #Culture #India #History


Libtard KillerX@LibtardKillerX
This is our territory now! 🦁
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@mukasareef8 Please check your DM. I paid for signals but struggled to get the link to join
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Join the official telegram channel for all my trade drops
Trade Insights| Videos| Signals | mentorship
t.me/reefforexacade…
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The entire robotics industry is about to compress a decade of progress into 18 months, and nobody’s pricing it in.
The hardware has been ready for years. Boston Dynamics had Atlas doing backflips in 2018. The bottleneck was never motors or actuators. It was that every robot behavior had to be hand-coded. Pick up a box? That’s one program. Pick up a bottle? Different program. Move the box from shelf A to shelf B in a warehouse with slightly different lighting? Start over.
Foundation models broke this completely.
Before VLAs, teaching a robot one skill gave you exactly one skill. Zero compounding. Zero transfer. A robot trained to fold shirts couldn’t fold towels without starting from scratch. The labor intensity of data generation meant robotics datasets stayed narrow, robots overfit, and small variations like object weight or table height caused failures.
Now a single Gemini Robotics model handles tasks it has never seen in training. Google’s On-Device model learns new behaviors with 50-100 demonstrations. Not 50,000. Fifty. That’s a 1000x reduction in the data requirement for new capabilities.
The speed implications cascade through everything.
First order: deployment timelines collapse. What took robotics teams 6-12 months of custom programming now takes days of fine-tuning. Second order: the addressable market explodes. Tasks that were never economical to automate suddenly are, because the integration cost dropped by orders of magnitude. Third order: the data flywheel accelerates. Every robot running Gemini Robotics feeds learning back into the foundation model. More deployments means faster improvement means more deployments.
Physical Intelligence raised at $2.4B because investors finally understood this. Boston Dynamics partnered with Toyota Research Institute to bolt Large Behavior Models onto Atlas. Every humanoid company is scrambling to either build or license the intelligence layer they don’t have.
The market is still valuing robotics companies on their hardware differentiation. But hardware is commoditizing. Boston Dynamics spent a decade perfecting locomotion, and now that’s table stakes. The value is migrating entirely to whoever owns the foundation model that generalizes across embodiments.
Google trained Gemini on the largest multimodal corpus ever assembled. Then they added physical actions as an output modality. That’s not a robotics company bolting on AI. That’s an AI company whose models now output motor commands.
The companies pricing this correctly are building around foundation model access, not around proprietary hardware. The companies pricing this wrong are still acting like the moat is in the mechanical engineering.
AGI moving into the physical world isn’t a 10-year prediction. Gemini Robotics shipped in March. The 1.5 version with chain-of-thought reasoning shipped in September. They’re iterating on a 6-month release cycle while hardware companies iterate on 3-year cycles.
The gap between software intelligence timelines and hardware development timelines is the entire trade.
Jon Hernandez@JonhernandezIA
📁 Demis Hassabis, CEO of DeepMind, says robotics didnt fail because of hardware. It failed because intelligence was missing. Gemini level models finally give robots the software brain they needed. When intelligence works, hardware follows. AGI doesnt live behind a screen. It moves.
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