ARC

[ARC @Arc1111Armor]

महादेव से बड़ा बैरागी कोई नहीं और उनसे बड़ा दानवीर भी कोई नहीं 🙌🏻। महादेव से प्रार्थना है की उनकी कृपा बनी रहे 🙏🏻

ॐ नमः शिवाय 🌼🙏🏻
हर हर महादेव 🕉️🔱🙏🏻

@ElvishYadav #ElvishYadav #ElvishArmy

[ARC @Arc1111Armor]

@The_AbhijeetAg

[ARC @Arc1111Armor]

@ARocketsingh @The_AbhijeetAg @ElvishYadav Wahi kar raha hai 😬

[ARC @Arc1111Armor]

Imposter idolising Triggered & also who self proclaiming to be Elvish fan through main account @The_AbhijeetAg posting weird demeaning tweets in name of sarcasm. His 2nd account Yamantwitts meant only to rt his self tweets & abuse Elvish.
@ElvishYadav #ElvishYadav #ElvishArmy

[Yaman @Yamantwitts]

@The_AbhijeetAg paiso ka bhukha gaylvish

[PRIYANSHU AGARWAL @prizzzedagarwal]

Rao Sahab in the house 🐐 #ElvishYadav

VC: bhargav

[ARC @Arc1111Armor]

💯

[ARC @Arc1111Armor]

Nothing good comes from trusting spineless backstabbers & hypocrites. Stay away!

@ElvishYadav #ElvishYadavv #ElvishYadav #ElvishArmy

[ARC @Arc1111Armor]

@HarshY0008 💯

[Peace Out @saffronsentry]

Poori duniya ki aisi ki taisi, sab jaaye bhaad mai, now I have a dope updated Apple music playlist with all these new song additions and app’s inherent music recos. Lots to learn and vibe to.

Now it’s me and my music against the world !

[ARC @Arc1111Armor]

Elvish’s latest snapchat story ✌️!

Stay safe @ElvishYadav 🧿

#ElvishYadav #ElvishYadavv #ElvishArmy

[ARC @Arc1111Armor]

@hardik1839 💕🧿

[Omkar🤍 @CreativeOmkar]

I wish everyone would quietly disappear like him—staying focused on their work and contributing to society in every way they can. 😊🤍
Radhe Radhe 🩵
#ElvishYadav #ElvishArmy

[Desh_Bhakati🇮🇳 @Desh_bhakati]

Finally, IB officer Ankit Sharma got justice🙏🏻

[The Scientific Lens @LensScientific]

“The job of a scientist is to listen carefully to nature, not to tell nature how to behave.”

[ARC @Arc1111Armor]

@saffronsentry Yup 🫶🏻🤞

[ARC @Arc1111Armor]

@saffronsentry Thanks so much sis. Wishing same to you. This clip I found quite relevant, considering whatever news making rounds. Clip just reminds of points which we miss to recollect during tough scenario 🙌🏻

[ARC @Arc1111Armor]

Wonderful read! 1 key addition: China’s low-cost mfg ecosystem attracted global investments enabling sustained spending on R&D,AI talent,chips,data infrastructure&computer capacity combined with domestic competition lead to development of high-quality #GenerativeAI at lower costs

[Swaminathan Padmanabhan @swaminathankp]

The Economics of Affordable AI (Part 1)

Something remarkable is underway in the world of AI — the price of machine intelligence is falling fast. Chinese open-weight models are today priced 60 to 90 percent below leading US models. An intense pricing contest between American and Chinese AI companies is rewriting the economics of the industry.

This shift did not occur overnight — and that is the central thesis of this series. The affordable AI we have today, rests on macroeconomic forces that have been compounding for decades. Through this series, we will trace the historical factors behind this scenario, examine how China built the scale to compete with the US in the AI race, assess the implications for India's IT sector, and explore how India can exercise its innovation potential in AI and other emerging areas in the years ahead.

China's present R&D capabilities have their origins in the low-cost dollar capital that was available during the past decades. Twice in the last 20 years — from 2008 to 2015 after the global financial crisis, and from 2020 to 2022 through the pandemic — the US Federal Reserve chose to hold its policy rate near 0 percent. As a consequence, borrowing costs in the US remained low for an extended period of time.

Even through the 2000s, US interest rates moved between 1 and 5 percent, while borrowing costs in the emerging markets remained considerably higher. China's benchmark lending rates ranged from roughly 5 to 7.5 percent, and India's policy rates hovered between 6 and 8 percent. A difference of 3 to 6 percentage points in the cost of capital between the US and these emerging markets (China and India) prevailed consistently during these years. Today, this gap has narrowed sharply — India's repo rate is now only 1.5 percentage points ahead, while China's benchmark rates have actually fallen below the US' rate.

This interest rate differential created a significant global arbitrage in the past decades. US firms could access relatively inexpensive dollar capital, then deploy that capital into countries where labour costs, land costs, industrial infrastructure, and supplier ecosystems offered better production economics. In simple terms, low-cost capital from the developed world met large-scale production capacity in emerging markets.

What does such a persistent differential in the cost of capital mean for the economic growth and development of these nations? And how did it influence, in later years, the development of AI and other modern technologies?

Much of the answer lies in where this low-cost dollar capital travelled — it encouraged US firms to invest overseas and set up manufacturing outside the US mainland. China emerged as the main beneficiary of this shift for more than two decades. Its nominal GDP grew from about $2.3 trillion in 2005 to nearly $19.5 trillion in 2025 — roughly a ninefold expansion that has taken it to almost two-thirds the size of the US economy.

The real GDP numbers are even more striking. Nominal GDP measures output at current prices. Real GDP measures it at constant prices, adjusting for inflation. In dollar terms, i.e., nominal GDP, the US nearly kept pace with China this past decade, growing about 68 percent against China's 74 percent. In real terms, interestingly, the US grew just 27 percent, while China was able to expand its economy at a much higher rate, by about 71 percent. For comparison, India's real GDP expanded by about 77 percent over the same period. In China's case, the nominal and real growth figures are similar because their domestic inflation and currency depreciation nearly cancel each other out.

This brings us to the next question in the series. How did this compounding economic scale translate into research and development capability, and into the price competitiveness China displays in generative AI today? We examine this in detail in our upcoming post — which is part 2 of this series on the economics of affordable AI.

[ARC @Arc1111Armor]

@GauravRaj22712 @ElvishYadav हर हर महादेव 🙏🏻

[ARC @Arc1111Armor]

महादेव से बड़ा बैरागी कोई नहीं और उनसे बड़ा दानवीर भी कोई नहीं 🙌🏻। महादेव से प्रार्थना है की उनकी कृपा बनी रहे 🙏🏻

ॐ नमः शिवाय 🌼🙏🏻
हर हर महादेव 🕉️🔱🙏🏻

@ElvishYadav #ElvishYadav #ElvishArmy

[Aditya Raj Kaul @AdityaRajKaul]

#BREAKING: Delhi Court has convicted Tahir Hussain in the murder of India’s Intelligence Bureau (IB) staffer Ankit Sharma during Delhi riots. Justice prevails finally Tahir Hussain has been convicted for the offences under Section 188, 153A, 147, 148, 149, 365 & 302 of IPC.

[Milton Friedman Quotes @MiltonFriedmanW]

“The essence of a capitalist system in its pure form is that it’s a system of cooperation without compulsion, of voluntary exchange, of free enterprise.”

— Milton Friedman

[ARC @Arc1111Armor]

Agree with every word said !