Liang Wenfeng’s AGI Strategy Unveiled

Liang Wenfeng’s AGI Strategy Unveiled | Generated by AI

Home 2026.07

Question: What did Liang Wenfeng say recently in the fundraising meeting?

Answer:

The “4-hour investor meeting” refers to a private DeepSeek investor communication session that circulated recently. According to reports, Liang Wenfeng discussed DeepSeek’s vision, AGI strategy, open-source philosophy, commercialization, and why the company chose a different path from typical startups. The authenticity of all circulating transcripts is not independently verified, but multiple Chinese tech media reported similar themes. (Sina Finance)

The main ideas attributed to him:

1. DeepSeek is not trying to maximize profit first

His core argument:

DeepSeek’s goal is not “becoming a rich company”; the goal is AGI.

He reportedly said the company’s original motivation was not IPO, valuation, or making money. The early team joined because they wanted to push AI forward, not because of financial incentives. (Sina)

The logic:

AGI success
    ↓
huge value created
    ↓
even a small share of value is enough
    ↓
don't optimize for short-term profit

2. “克制 (restraint) is a strategy”

One of the most repeated ideas:

Giving up some opportunities increases the probability of achieving the bigger goal.

He reportedly argued DeepSeek intentionally avoids:

chasing user numbers
building many consumer products
closing models
entering every AI application market
making video generation / 3D / world models immediately

The idea:

Limited team + limited attention
        ↓
focus on the hardest problem
        ↓
better chance of AGI breakthrough

(Ifeng Finance)

3. Open source is strategic, not charity

His view:

Closed source:

company owns model
company captures application layer

Open source:

everyone builds applications
ecosystem grows
model becomes infrastructure

He reportedly believes DeepSeek should focus on the foundation model layer and let others create applications. (Reddit)

4. AI progress path: reasoning → agents → self-improvement

The reported roadmap:

2024:
reasoning / chain-of-thought

2025:
agents

future:
continuous learning

later:
AI improving AI

The important point: he sees today’s chatbots as only an intermediate stage. (Ifeng Finance)

5. He rejected the “AI genius founder” narrative

Another interesting point:

He reportedly pushed back against the idea that DeepSeek is created by a few “geniuses.”

The message:

not genius hero story

=
long-term engineering culture
+
many researchers
+
patient experimentation

(Ifeng Finance)

6. Fundraising philosophy

The reported financing was unusual because DeepSeek had previously emphasized independence. The new funding was described as carefully selecting partners whose interests align with DeepSeek’s long-term goals rather than simply taking the highest valuation. (Reddit)

My interpretation:

Liang’s strategy is very close to the “research lab + open ecosystem” model:

OpenAI early:
research → GPT → ecosystem

DeepSeek:
research → open models → ecosystem → AGI

The bet is:

The company that discovers the next intelligence paradigm captures more value than the company that optimizes today’s AI products.

This is why his thinking resonates with people like Karpathy / early OpenAI: the bottleneck is not making another SaaS wrapper; it is solving the intelligence problem. (Elsewhere News)

References:

Back Donate