Billionaire Investor Ray Dalio Breaks Down How China's Philosophy on AI Differs From the US

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Billionaire Investor Ray Dalio Breaks Down How China's Philosophy on AI Differs From the US

The billionaire investor visited China in April and met with members of the country's leadership.

TL;DR

China sees AI as a utility, similar to electricity and running water, meant for widespread access.
This approach contrasts with US AI companies focused on revenue and public market debuts.
China is channeling export profits into AI development to spur economic growth through productivity.
The country aims to get AI models into the hands of as many workers as possible, regardless of immediate profitability.
This strategy is compared to China's dominance in the electric vehicle industry.
Chinese executives and politicians do not fear job loss from AI, focusing instead on 'AI enablement'.
Robotics is identified as China's next target industry for global dominance, following EVs.

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clem 🤗 reposted

Harry Stebbings

“We have a crisis of open source models in the Western world.

Outside of China, there are no good open source models. We don't even have any in the US now.

The talent, the capital and the focus to be best-in-class at pre-training, mid-training, post-training is an extremely scarce skillset.

The answer for a lot of countries may just be to take an open weights model from China, post-train or fine-tune their own version, and have that be what they start from." @EverettRandle

Why does the West have such poor open source models and is it a national security threat to rely on open-source Chinese models @demishassabis @ylecun @aidangomez @lilianweng @janleike

clem 🤗 reposted

zerohedge

API prices of key AI models: US vs China https://t.co/ZOWMxcvhK0

Yann LeCun reposted

clem 🤗

- 2016-2024: 🇺🇸leads in open-source AI

- 2024-2027: 🇺🇸 leads in general AI & massively benefits

- 2024-2026: 🇨🇳 leads in open-source AI

- 2026-2030: ??

It's not open-source AI leadership OR general AI leadership, it's open-source AI leadership BEFORE general AI leadership!

Open-source AI is the foundation of all AI. It does not only creates more innovation, competition, jobs, and prosperity now, it's also the best (only?) way for a national tech ecosystem to accelerate and ultimately reach the frontier of AI in general.

Because open-source AI reduces siloes, shares learning and innovation, intensify emulation which all lead to an acceleration of the local ecosystem progress that no others can match if they're less open and collaborative.

Same seems to be true for companies btw, OpenAI/Google started with open science and open-source AI which led to their (and Anthropic who spun off from OAI) domination. Meta could have done the same but decided to change course for some reason.

clem 🤗 reposted

Lin Qiao

Britain didn't industrialize first by forcing its companies to use more expensive coal.

Why would we force American companies to use more expensive intelligence?

AI is rapidly becoming a foundational input to production. Open models are rapidly catching up, and companies everywhere are looking for ways to make intelligence more affordable, more abundant, and more directly in their control.

Restricting access to cheaper and customizable intelligence won't slow global competition. It will simply make American companies less competitive.

David Sacks

This is concerning. For the first time, a Chinese model Kimi K3 has taken #1 on the Frontend Code Arena and is scoring at or near the frontier on other benchmarks.

Meanwhile America is tying itself in knots: politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models.

This is how you lose the AI race. The rest of the world won’t play by our rules if we bog ourselves down. Permissionless innovation is how America won the internet and became the technological envy of the world. We can do it again with AI -- while addressing risks in a targeted way -- or we’ll watch our lead evaporate.

Yann LeCun reposted

Chamath Palihapitiya

Tricking the US Government to protect frontier labs’ business model by using a China boogeyman is a mistake.

It is protecting the equity of 5,000 people who are investors in OAI and Ant at the sale of everyone else. This would be a terribly stupid decision.

Let the market sort this out!

The events of the past few weeks may simply mean that the frontier labs’ business model is not good and that their revenues aren’t sustainable.

That’s ok. It’s ok to have a business model that worked for some time then all of a sudden didn’t (remember Groupon)!

This still leaves a lot of value for a lot of other American companies:

- CPUs

- GPUs

- hyperscalers

- neoclouds

- rack manufacturers

- electricity and power

- skilled trades

- application layer AI

None of this value goes away. In fact, if the model layers’ costs decrease by 10-100x, competition would accelerate and I would argue that the value to everyone else will go up more than what is lost.

Let the free market sort this out vs allowing two companies whose stock is owned by less than 5,000 people decide this for America.

Yann LeCun reposted

Daniel Jeffries

All Chinese AI company media: AI will be a wondrous and wonderful and give you back precious time in your life to do things you love.

All US AI company media: AI will take all your jobs, eat your children and it's already going rogue and taking over, muhahahahahahahahaha!

clem 🤗 reposted

Squawk on the Street

Is China winning the AI race?

@huggingface CEO @ClementDelangue thinks so – here's how he's utilizing foreign cybersecurity tools following the company's hack by rogue OpenAI agents:

https://t.co/PQRrGa7Wcm

Yann LeCun reposted

Peter H. Diamandis, MD

75% of Americans fear AI. In China, 80% are excited about it. We are facing a narrative gap, and are losing the fight for it.