- Crypto is now a $1T industry
- Bitcoin and Ethereum have enabled >$1T in annual transaction volume
- Decentralized finance has ~$30B in assets
- Coinmarketcap.com is more popular than the Wall Street Journal!
It is now a global phenomenon.
NATIONAL SECURITY
Crypto defends India's national security by foiling deplatforming.
Bitcoin prevents financial deplatforming. Digital gold is a rail of last resort for crises like 2008.
And Ethereum prevents social deplatforming. Create social networks the US can't shut down.
FOREIGN INVESTMENT
A favorable crypto policy would attract billions in investment to India, causing capital landing rather than capital flight.
Bitcoin is very popular among CEOs and investors. And at $200k per BTC, an estimated 50% of global billionaires will come from crypto.
REMITTANCES & REMOTE
- 400M Indians are newly online
- COVID has created a remote economy
- India earns $150B+ from BPO
- And receives $80B+ from remittances
So: India is poised for an absolutely massive boom in remote work & remittances, with crypto serving as the catalyst.
MONETARY POLICY
Why does India hold 600 tons of gold? Because in a crisis the rupee may need to be gold-backed. By analogy, a digital rupee may need to be *digital-gold backed*.
Gold is not a threat to India, gold has historically been an *asset* for India. Digital gold is too.
TRUSTWORTHY ACCOUNTING
Here's a little known fact: major accounting firms now use blockchains as a gold standard in audits, because they can't be falsified.
India could use on-chain accounting to build a financial system that leapfrogs the world. The next step for IndiaStack?
A FINANCIAL INTERNET
Just like the internet digitized movies, music, and all types of media, blockchains enable a *financial internet* that is digitizing currencies, stocks, bonds, and all types of assets.
It's imperative that India have access to the financial internet!
CRYPTO APIS > CORPORATE APIS
India already encourages the use of open source over proprietary code when available.
It should prefer crypto APIs over corporate APIs for the same reason, because blockchains aren't just open source: they're also open state & open execution.
FOREIGN POLICY
A renewed non-aligned movement will play a balancing role in the US/China Cold War.
India should reposition it as a *decentralized movement* that advocates crypto protocols as a successor to the rules-based order, starting with finance. balajis.com/why-india-shou…
BECOME A GLOBAL LEADER
As the world's 3rd largest economy in PPP terms, India could lead a decentralized movement to develop provably fair crypto platforms, neutral systems outside both American and Chinese control that all countries can embrace.
It's time for a bold move.
RECOMMENDATIONS
1) Ship digital rupee backed by digital gold 2) Add on-chain accounting + "stockchain" to IndiaStack 3) Attract crypto capital with smart laws 4) Build decentralized protocols for the world
Crypto is a $1T industry on track to become a $10T industry.
India’s entire GDP is $3T.
A crypto ban would cost India trillions in growth. Economic growth is also a national security issue; whatever the ban hopes to achieve may be done more cheaply another way.
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AI prompting scales, because prompting is just typing.
But AI verifying doesn’t scale, because verifying AI output involves much more than just typing.
Sometimes you can verify by eye, which is why AI is great for frontend, images, and video. But for anything subtle, you need to read the code or text deeply — and that means knowing the topic well enough to correct the AI.
Researchers are well aware of this, which is why there’s so much work on evals and hallucination.
However, the concept of verification as the bottleneck for AI users is under-discussed. Yes, you can try formal verification, or critic models where one AI checks another, or other techniques. But to even be aware of the issue as a first class problem is half the battle.
For users: AI verifying is as important as AI prompting.
I love everything @karpathy has done to popularize vibe coding.
But then after you prototype with vibe coding, you need to get to production with right coding.
And that means AI verifying, not just AI prompting. That’s easy when output is visual, much harder when it’s textual.
@karpathy The question when using AI is: how can I inexpensively verify the output of this AI model is correct?
We take for granted the human eye, which is amazing at finding errors in images, videos, and user interfaces.
But we need other kinds of verifiers for other domains.
Democracy is creating startup cities.
Moving to Starbase was voting with feet.
Building up Starbase was voting with wallet.
And incorporating Starbase was voting with ballot.
This is the future of democracy.
Not a two-party system with the illusion of choice.
Instead, a 1000-city system with the reality of choice.
This thread from @dpoddolphinpro has details on the new city limits & vote results. Elon's side won 212-6.
This is 97% democracy, rather than the 51% democracy of the legacy system. Because everyone who moved to Starbase was already spiritually aligned.
Ironically, one symptom of deindustrialization is that many commenters have never actually managed a physical business.
So. Suppose your US company imports $1M of high quality parts, and adds in its own components to produce finished goods sold for $1.2M per batch. Your gross profit is $200k per batch.
But wait! Suddenly a new 30% tariff is imposed on that $1M of parts. You now have to fork over $300k to customs before you sell anything. That’s cash you probably don’t have. Oh, and even if you do sell everything, you’re now losing $100k per batch.
With a sinking feeling, you realize your profitable business which you somehow managed to keep in America all these years has suddenly become unprofitable.
You post online about how bad this is but get shouted down by an angry mob, convinced that capitalists like you should die. You can’t tell nowadays if they’re on left or right.
Moreover, you don’t have the time, money, skills, or tools in house to build that $1M of parts yourself. You are being asked to do the equivalent of growing a maple tree when all you needed was a little maple syrup. So now you are faced with several tough choices.
(1) First, you may need to go into debt or fire people to quickly come up with the $300k in cash to pay for these surprise tariffs at customs. Even if the tariff might go away, it might not, so you have to get the cash somehow or risk having your shipment impounded.
(2) Next, you might need to reduce quality to stop losing $100k on each batch. You could order the lower quality $750k parts, grimace and pay 30% tariff at customs, and hope you can build and sell for the same price of $1.2M per batch despite the lower quality.
(3) Alternatively, you could keep the quality parts at $1M and instead raise prices to $1.5M per batch to get back your original margins of $200k per batch, which you need to pay employees after all. But that’s a big hike that your customer will probably not welcome, given that he’s likely dealing with his own tariff shock.
So: these tariffs don’t really give an incentive to build in the US. Because it’s far more expensive to build a screw factory than to pay even high tariffs on a foreign screw.
Instead what they likely mean is debt, layoffs, lower quality, and higher prices for any US company that buys parts abroad.
Just to understand how common that is:
Ok, say you do.
It’s a 25% hike to go from $1.2M to $1.5M. You will lose customers. Maybe a lot. Maybe they go out of business at that price too.
Moreover, you aren’t making more money. That extra $300k is going straight to Uncle Sam. It’s a tax on the manufacturing sector.
China seeks to commoditize their complements. So, over the following months, I expect a complete blitz of Chinese open-source AI models for everything from computer vision to robotics to image generation.
Why? I’m just inferring this from public statements, but their apparent goal is to take the profit out of AI software since they make money on AI-enabled hardware. Basically, they want to do to US tech (the last stronghold) what they already did to US manufacturing. Namely: copy it, optimize it, scale it, then wreck the Western original with low prices.
I don’t know if they’ll succeed.
But here’s the logic:
(1) First, China noticed that DeepSeek’s release temporarily knocked ~$1T off US tech market caps.
(2) Second, China’s core competency is exporting physical widgets, more than it is software.
(3) Third, China’s other core competency is exporting things at such massive scale that all foreign producers are bankrupted and they win the market. See what they’re doing to German and Japanese cars, for example.
(4) Fourth, China is well aware that it lacks global prestige as it’s historically been a copycat. With DeepSeek, becoming #1 in AI is now something they actually consider possibly achievable, and a matter of national pride.
(5) Fifth, DeepSeek has gone viral in China and its open source nature means that everyone can rapidly integrate it, down to the level of local officials and obscure companies. And they are doing so, and posting the results for praise on WeChat.
(6) Finally, while DeepSeek was obscure before recent events, it’s now a household name, and the founder (Liang Wengfeng) has met both with Xi but also the #2 in China, Li Qiang. They likely have unlimited resources now.
So, if you put all that together, China thinks it has an opportunity to hit US tech companies, boost its prestige, help its internal economy, and take the margins out of AI software globally (at least at the model level).
They will instead make their money by selling inexpensive AI-enabled hardware of increasing quality, from smart homes and self-driving cars to consumer drones and robot dogs.
Basically, China is trying to do to AI what they always do: study, copy, optimize, and then bankrupt everyone with low prices and enormous scale.
I don’t know if they’ll succeed at the app layer. But it could be hard for closed-source AI model developers to recoup the high fixed costs associated with training state-of-the-art models when great open source models are available.
Last, I agree it’s surprising that the country of the Great Firewall is suddenly the country of open source AI. But it is consistent in a different way, which is that China is just focused on doing whatever it takes to win — even to the point of copying partially-abandoned Western values like open source, which seemed like the hardest thing to adopt.
On that point: they did build censorship into the released DeepSeek AI models, but in a manner that’s easily circumvented outside China. So, you might conclude they don’t really care what non-Chinese people are saying outside China in other languages, so long as this doesn’t “interfere with China’s internal affairs.”
Anyway —this is an area I’ve been watching, and my reluctant conclusion is that China is getting better at software faster than the West is getting better at hardware.
I think China is taking an asymmetric approach.
In a reversal of last century, the West is going closed: closed source, closed markets, closed borders. For understandable reasons.
But China is going open because it suits them. For similar reasons to why Meta open sourced Llama.
I have some ideas, but for at least the next several years the question will not be “what if Google does this” but “how can we ensure China’s best can’t easily compete with this.”
Bitcoin is likely one answer.
Community is another.
How did China go from Maoist to capitalist?
Well, Deng took power in 1978.
He inherited a brainwashed agrarian communist state.
And couldn't reform the whole country at once.
So...he set up a few key zones on China's coast.
He fenced them off, and introduced capitalism.
Of course, that worked.
With success, he gained political capital.
He used that to expand the special economic zones.
These zones had a new social contract.
He'd essentially refounded China — but fractally.
Those zones expanded till they took over the old China.
And that's how China went from Maoist to capitalist.
The idea that "Deng refounded China" is obvious yet non-obvious.
It's obvious because China failed under Mao & succeeded under Deng. It's non-obvious because many want to maintain China is on the communist left, when it's really on the nationalist right.
For different reasons, the Western left, Western right, and the Chinese Communist Party all want to maintain that there was ideological continuity between Mao and Deng. But there wasn't. It was a refounding moment, a total rewrite of the social contract.
Everyone wants to reindustrialize.
No one wants to remember why the US deindustrialized in the first place.
Basically, tradeoffs exist.
The real problems of pollution and industrial accidents led to the proliferation of environmental and labor laws.
And after generations in the farms, mines, factories, and fields, many welcomed higher-paying and healthier work.
Of course, the cost of offshoring manufacturing is now clear. But it is important to understand that there were at least medium-term benefits in terms of reducing accidents and pollution. Because those benefits will go away if you naively reindustrialize.
Basically, mining and manufacturing were tough jobs that are now romanticized in the abstract but that can be difficult to recruit for in the concrete, *especially* if the resulting product needs to compete with China in a global market on price.
Your people need to work really hard, really smart, and really cost-effectively to compete. That is tough.
(Some are kind of talking about sending the effete intellectuals to the mines, Mao style, which is a “romantic” regression that does have many unfortunate precedents in history.)
Anyway, yes you can maybe increase safety or reduce pollution today with modern techniques — but physical risk will always exist. And without taking some physical risk you won’t ship a globally competitive product at a globally competitive price.
I agree with Dhruva’s post below too.
It is possible to improve the tradeoff between productivity and safety, and many US regulations don’t do what they say on the tin.
But still. Physical risk does exist in the mines and the factory floors. Much more than at the keyboards.