Gurley finds it suspect that incumbents, not academicians, are leading the charge to regulate open source AI.
“The people that are leading the charge calling for the regulation and calling and some of them raising this question of whether open source should be allowed are the incumbents.”
Gurley argues regions that shut down open source AI will fail to innovate relative to regions that allow it.
“So if you shut it down in a particular region, that region is gonna fail to innovate relative to the other regions that are out there.”
Gurley reports open source models like Llama 2 are gaining market share among portfolio startups using AI tools.
“What I'm hearing internally from our portfolio is this specifically the ilama too, Sunny sent me another one today, are really starting to gain market share amongst the startups that are using these tools.”
Gurley notes OpenAI wouldn't exist if Google's attention mechanism had been patented instead of open-sourced.
“This concept was done inside of Google as an open source concept, immediately copied by all the other players. So OpenAI doesn't exist today if that's patented and controlled.”
Gurley says OpenAI only exists because Google's attention mechanism was open-sourced, not patented.
“OpenAI doesn't exist today if that's patented and controlled. There's it just doesn't, which is another irony around this open source argument because they've been infringed from massively from a major but the idea of being shared, and this is also why I'm such a massive open source proponent”
Gurley says big AI model companies and Vinod Khosla openly advocated for making open source illegal or blocked.
“And then Vinod started basically saying that literally, like, yes, we should block open source.”
Gurley predicts restricting open source AI in US while leaving it available elsewhere will shift innovation abroad.
“if you pull up and say there's no open source here and you leave open source there, guess where it's going to be the most innovative, where where you're going to have the most entrepreneurs, where you're going to have the most innovation. It's gonna be over there,”
Gurley says Zuckerberg described Apple blocking product improvements as soul crushing, motivating Meta's open source commitment.
“Great word. When you develop, work really hard on a product improvement, and then you have a company that says, no.”
Gurley praises Anthropic's decision to open source their MCP data connection tool with GitHub and Slack integrations.
“They released several integrations already in the initial pack, with good GitHub and Slack and a few others so that you can start having your agents interact with these things.”
Gurley reports 1,300 variants of DeepSeek R1 appeared on Hugging Face within days of release.
“forty eight hours after r one was posted, they had 500 variants on Hugging Face. And today I pinged them this morning before we started, they're up to 1,300.”
Gurley reports 1,300 variants of DeepSeek R1 appeared on Hugging Face within days of its release.
“And so, like, forty eight hours after r one was posted, they had 500 variants on Hugging Face. And today I pinged them this morning before we started, they're up to 1,300.”
Gurley notes Chinese companies are among the leading donors to major open source projects like Linux.
“If you look at all of the major projects like Linux or MySQL, and most of these open source projects have a website and you can see who the leading donors are.”
Gurley notes China now has four deep-pocketed open source AI models including Baidu's upcoming release, creating competitive innovation advantage.
“this will be the fourth deep pocket funded model in China that are all open source. And when you consider I mean, this is a competitive dynamic, right, that leads to that.”
Gurley notes DeepSeek triggered Alibaba and Xiaomi releasing open source models, with Baidu announcing June open source release.
“What happened in China, however, is Alibaba made Twin open source. Xiaomi has a model out now.”
Gurley predicts four deep-pocketed Chinese open-source AI models will create massive experimentation advantage over US.
“And so that level of competition, if it leads to four deep pocketed all open products is gonna be ultra powerful.”
Gurley argues community sharing best practices achieves higher global output than proprietary competition alone over time.
“I don't know who would force them, but they're forced to share all their best practices from that week with everybody and everyone does it and everyone shares their best practice.”
Gurley argues seven to eight deep-pocketed Chinese open-source models can distill each other to accelerate improvement.
“I think there may be seven or eight dig pocketed players with open models in China, they all learn from each other extremely fast.”
Gurley introduces farming analogy to explain competitive dynamics between open and closed innovation communities.
“I came up with a little analogy for people. I'll try and do it quickly, but imagine you had two communities. They're both farming communities and let's say there's 10 to 20 farms in each.”
Gurley says Mistral should be distilling Chinese models right now if they want to compete.
“I do expect to see that. And if I'm the Mistral team, if you're not distilling on these Chinese models, I don't know what you're doing right now.”
Gurley predicts new US entrants will co-evolve with Chinese models without national identity like Linux.
“I think you're gonna see new entrants pop up that try to co evolve with the Chinese models. You know, is Linux American? Is Linux Chinese?”
Gurley notes China has ten open source AI models in hyper competition versus US proprietary approach.
“Wild. And by the way, I mean, not to divert too much back, but right now China has 10 open source AI models.”
Gurley predicts AI will shift from innovation to optimization like dot-com era Oracle-to-Linux migration.
“So there were you went from a period of innovation to a period of optimization where people are much more worried about cost.”
Gurley argues open source creates hypercompetitive dynamics politicians don't understand as competitive weapon.
“I don't think the world, especially the the the politicians understand how, like unbelievably powerful open source is as a a as a weapon, like, as a competitive weapon.”
Gurley argues open source creates hypercompetitive dynamics where innovations are immediately absorbed across competitors.
“And if you have 10 companies all doing open source, the minute an idea is shared, it's available to the other 10, and they absorb it immediately.”
Gurley warns that China's open source AI dynamic creates hypercompetitive weapon politicians don't understand.
“And I don't think the world, especially the the the politicians understand how, like unbelievably powerful open source is as a a as a weapon, like, as a competitive weapon.”
Gurley argues leading AI model providers seek regulatory protection as biggest threat to their billions is open source movement.
“And so people are putting billions of dollars in their pocket. And so there's also a huge incentive to from the two leading model providers to seek regulatory protection, which most people wouldn't think regulation is but they've been begging for regulation since they started from from three years ago.”
Gurley identifies open source as the biggest threat to leading AI model providers' businesses.
“the biggest threat to their businesses where they're cashing in billions of dollars is the open source movement.”
Gurley says AI leaders want regulation because open source is their biggest business threat
“And the reason I think they want it is the biggest threat to their businesses where they're cashing in billions of dollars is the open source movement.”
Gurley argues leading AI companies seek regulatory protection because their biggest threat is open source movement.
“They're leading the biggest secondary transactions for their employees in the history of venture capital, the history of the world.”
Gurley argues China's open-source AI models create a system capable of innovating faster than closed US models.
“And the other society, when the farmers come to market, they're forced to share best practices with all the other farmers. Which which one of those is gonna gonna evolve faster?”
Gurley argues that open-source AI projects are inherently safer than proprietary systems because they have more transparency and scrutiny, and that multi-company collaboration on AI safety is the right approach.
“ projects are already inherently safer than situations where proprietary large companies hold all the cards. More eyes, more transparency, more analysis. This collaboration - multiple companies all working to ensure AI safety together - is the exact right move. This is”
Open source AI projects are inherently safer due to transparency and multiple companies collaborating on AI safety is the right approach.
“ projects are already inherently safer than situations where proprietary large companies hold all the cards. More eyes, more transparency, more analysis. This collaboration - multiple companies all working to ensure AI safety together - is the exact right move. This is”
Gurley argues open AI projects are inherently safer than proprietary systems due to transparency and multiple reviewers, praising multi-company collaboration on AI safety.
“ projects are already inherently safer than situations where proprietary large companies hold all the cards. More eyes, more transparency, more analysis. This collaboration - multiple companies all working to ensure AI safety together - is the exact right move. This is the very best path to safe AI. Kudos. Jensen Huang @JensenHuang Jul 27 Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion. 2:53 PM · Jul 27, 2026 79.8K Views Bill Gurley @bgurley ”
Gurley predicted three years ago that AI incumbents would use regulatory capture against open models, but says he underestimated how aggressively they would pursue this strategy.
“Almost 3 years ago, I believed open-models would become the key threat to the AI incumbents & that unfortunately they would lean into regulatory capture as a response. I underestimated the fervor with which they would use this non-business approach. https://t.co/oFDclTqJDq”
Gurley says he predicted three years ago that open-source AI models would threaten incumbents who would respond with regulatory capture, but underestimated how aggressively they would pursue this strategy.
“Almost 3 years ago, I believed open-models would become the key threat to the AI incumbents & that unfortunately they would lean into regulatory capture as a response. I underestimated the fervor with which they would use this non-business approach. https://t.co/oFDclTqJDq”
Gurley proposes global open source standard for nuclear reactors to lower costs.
“And I wonder what if the globe had a standard for, you know, fission based nuclear reactor?”
Gurley argues NIH-funded research should be open source rather than becoming proprietary.
“Why wouldn't we say if you take NIH dollars, your research is open source? Why do we use government dollars to fund stuff that becomes proprietary? That doesn't make any sense to me.”