Taking AI Back from the Megacorps | Eric Yang, Gradient Network

Описание: AI should be a public good, not something gatekept by a handful of megacorps

We had Eric Yang, co-founder of Gradient Network, on the pod this week to talk through exactly that.

Gradient's "Open Intelligence Stack" includes:
i) Parallax for distributed model serving
ii) Echo for decentralized reinforcement learning

The whole thesis is that anyone should be able to run large models on consumer hardware (yes, including your Mac Minis + OpenClaws)

Eric breaks down their $10M seed round led by Pantera, Multicoin, and HSG; where he sees the industry heading; and why post-training is going to be the dominant force in enterprise.

Timestamps:

00:00 Intro
01:15 AI market is booming
02:29 Local compute is a hot topic
03:02 Parallax Inference Engine
04:34 Intelligence as a public good
05:46 AI models will become a commodity
07:32 Bottlenecks in AI models accessibility
09:34 Smaller AI models are catching up
11:01 How Gradient's Infrastructure Enables Model Development
12:15 Model post-training
14:24 How does reinforcement learning work?
17:35 AI going rogue
19:20 Gradient's token
23:02 AI entrepreneurs that Eric admires
26:11 Use cases on chain for AI
31:34 The trade-offs of coming to crypto
35:09 How low-spec GPUs will work on Gradient Ecosystem
38:08 Post-training will be the dominating force for enterprise
38:43 Open source models are way cheaper
41:39 Eric's founding story
49:07 Empowering researchers globally
53:37 Why did Multicoin Capital and Pantera Capital invested in Gradient
55:08 One-click deploy agent
58:16 Gradient in 3 years

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