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9 quotes from 2 episodes on TBPN, each with a timestamped link to the source.
Dylan Patel stated that engineering optimization drives the bulk of enterprise AI compute spend. Dylan Patel noted that physical engineering disciplines require far more compute investment than white-collar task automation.
Elon Musk diverted compute capacity from xAI to sell to Anthropic and Google.
“…ripped some compute out of the XAI's team to sell it to Anthropic and Google.”
From Elon Musk Ripped Compute from xAI to Sell at $15 an Hour
American open-source AI relies on Jensen Huang and direct backing from Nvidia for startups Reflection and Thinking Machines.
“Open source in America would not exist without Jensen. Both Reflection and Thinking Machines are pushing the open-source frontier in America and both of them have massive investments in backing from Nvidia.”
Dylan Patel said scientific engineering accounts for the bulk of spending rather than discovery. Automating white-collar work will happen, but engineering optimization will drive the first trillion dollars of AI spend.
“Replacing white collar work is something that will happen. But that's not something that's going to drive the first trillion dollars of AI spend.”
From SemiAnalysis on Where the First Trillion in AI Spend Goes
“There's two domains, right? When you think about science, there's discovery and there's engineering. And everyone always talks about the discovery side of things, but actually the bulk of the spend is on the engineering side of things.”
From SemiAnalysis on Where the First Trillion in AI Spend Goes
Dylan Patel warned that committee decision-making will make Nvidia slow and could cause Nvidia to fall behind technically. Dylan Patel favors selecting an external candidate for the chief executive position.
“I think that's the biggest worry for Nvidia is that now it's like a committee of people doing stuff and that's just going to make decisions slow. Technically they could fall behind because of this.”
“My favorite picks for CEO would be from an external perspective…”
OpenAI works more closely with Nvidia, giving Anthropic an edge as open source stumbles. Dylan Patel noted Anthropic hired chip specialists to design chips and build models in unique environments to scale quality.
“OpenAI works more closely with Nvidia than Anthropic does. Hey, this is a positive for Anthropic versus OpenAI. Anthropic pushing back open source and open source being weaker now: this is great for Anthropic. The closed source is winning.”
“If you do not have unique data and environments in certain spaces, you will not scale quality of model in those places. And so chip design drastically improved. What is Anthropic focus? Well, we just hired a bunch of chip people and we're making a chip and we're making model way better than a chip.”
“When we look at software engineering everyone's like used to pretty advanced software engineering techniques…”
From SemiAnalysis on Where the First Trillion in AI Spend Goes
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