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The Privacy Problem No One's Talking About in AI with George Zeng

The Privacy Problem No One's Talking About in AI with George Zeng

Published 1ย month, 3ย weeks ago
Description

Open Claw hit 163,000 GitHub stars in days, but most people are setting it up wrong and risking total financial ruin by having their data harvested.

George Zeng from NEAR breaks down why both OpenAI and Anthropic harvest your data, how to run AI agents securely, and why local models cost 90% less.

We cover:

- Why Anthropic's Super Bowl Ads Expose The Real Problem

- Open Claw's Vertical Growth (0 to 163K GitHub Stars)

- The Security Mistakes Everyone's Making

- How To Run AI Agents Without Losing Everything

- Why Local AI Models Are 90% Cheaper Than OpenAI

- NEAR Intents + AI Agents = The Agentic Economy

- When AI Agents Start Teaching Each Other


Timestamps:

00:00 Intro

01:07 George's Background at NEAR

02:15 Anthropic's Super Bowl Commercials

06:02 Data Privacy: The Glass House Problem

09:28 NEAR AI's Privacy-First Approach

13:03 Trezor, Halliday, Infinifi ads

13:45 How Private Chat Works with TEEs

18:16 Claude Bot to Open Claw Journey

22:38 Security Best Practices for Open Claw

25:47 Setting Up Open Claw with NEAR AI

29:15 YEET, Kalshi, Hibachi ads

29:41 NEAR Intents + AI Agents = Magic

34:18 George's Daily AI Agent Workflow

37:04 The Case for Local-First AI

42:21 AI Agents Creating Other AI Agents

45:03 Memory & Context Management

45:44 NEAR Token's Role in AI Infrastructure


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๐——๐—œ๐—ฆ๐—–๐—Ÿ๐—”๐—œ๐— ๐—˜๐—ฅ: ๐˜๐˜ฏ๐˜ท๐˜ฆ๐˜ด๐˜ต๐˜ช๐˜ฏ๐˜จ ๐˜ช๐˜ฏ ๐˜ค๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜ค๐˜ถ๐˜ณ๐˜ณ๐˜ฆ๐˜ฏ๐˜ค๐˜บ ๐˜ข๐˜ฏ๐˜ฅ ๐˜‹๐˜ฆ๐˜๐˜ช ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ด ๐˜ค๐˜ฐ๐˜ฎ๐˜ฆ๐˜ด ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ช๐˜ฏ๐˜ฉ๐˜ฆ๐˜ณ๐˜ฆ๐˜ฏ๐˜ต ๐˜ณ๐˜ช๐˜ด๐˜ฌ๐˜ด ๐˜ช๐˜ฏ๐˜ค๐˜ญ๐˜ถ๐˜ฅ๐˜ช๐˜ฏ๐˜จ ๐˜ต๐˜ฆ๐˜ค๐˜ฉ๐˜ฏ๐˜ช๐˜ค๐˜ข๐˜ญ ๐˜ณ๐˜ช๐˜ด๐˜ฌ, ๐˜ฉ๐˜ถ๐˜ฎ๐˜ข๐˜ฏ ๐˜ฆ๐˜ณ๐˜ณ๐˜ฐ๐˜ณ, ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ ๐˜ง๐˜ข๐˜ช๐˜ญ๐˜ถ๐˜ณ๐˜ฆ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ฎ๐˜ฐ๐˜ณ๐˜ฆ. ๐˜ˆ๐˜ต ๐˜ค๐˜ฆ๐˜ณ๐˜ต๐˜ข๐˜ช๐˜ฏ ๐˜ฑ๐˜ฐ๐˜ช๐˜ฏ๐˜ต๐˜ด ๐˜ต๐˜ฉ๐˜ณ๐˜ฐ๐˜ถ๐˜จ๐˜ฉ๐˜ฐ๐˜ถ๐˜ต ๐˜ต๐˜ฉ๐˜ช๐˜ด ๐˜ค๐˜ฉ๐˜ข๐˜ฏ๐˜ฏ๐˜ฆ๐˜ญ, ๐˜ธ๐˜ฆ ๐˜ฎ๐˜ข๐˜บ ๐˜ฆ๐˜ข๐˜ณ๐˜ฏ ๐˜ข ๐˜ค๐˜ฐ๐˜ฎ๐˜ฎ๐˜ช๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜ฐ๐˜ณ ๐˜ง๐˜ฆ๐˜ฆ ๐˜ข๐˜ด ๐˜ข ๐˜ด๐˜ฑ๐˜ฐ๐˜ฏ๐˜ด๐˜ฐ๐˜ณ๐˜ด๐˜ฉ๐˜ช๐˜ฑ, ๐˜ช๐˜ง ๐˜ต๐˜ฉ๐˜ช๐˜ด ๐˜ช๐˜ด ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ข๐˜ด๐˜ฆ ๐˜ธ๐˜ฆ ๐˜ธ๐˜ช๐˜ญ๐˜ญ ๐˜ข๐˜ญ๐˜ธ๐˜ข๐˜บ๐˜ด ๐˜ฎ๐˜ข๐˜ฌ๐˜ฆ ๐˜ด๐˜ถ๐˜ณ๐˜ฆ ๐˜ช๐˜ต ๐˜ช๐˜ด ๐˜ค๐˜ญ๐˜ฆ๐˜ข๐˜ณ. ๐˜ž๐˜ฆ ๐˜ข๐˜ณ๐˜ฆ ๐˜ด๐˜ต๐˜ณ๐˜ช๐˜ค๐˜ต๐˜ญ๐˜บ ๐˜ข๐˜ฏ ๐˜ฆ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต ๐˜ฑ๐˜ญ๐˜ข๐˜ต๐˜ง๐˜ฐ๐˜ณ๐˜ฎ, ๐˜ฏ๐˜ฐ๐˜ต๐˜ฉ๐˜ช๐˜ฏ๐˜จ ๐˜ธ๐˜ฆ ๐˜ฐ๐˜ง๐˜ง๐˜ฆ๐˜ณ ๐˜ช๐˜ด ๐˜ง๐˜ช๐˜ฏ๐˜ข๐˜ฏ๐˜ค๐˜ช๐˜ข๐˜ญ ๐˜ข๐˜ฅ๐˜ท๐˜ช๐˜ค๐˜ฆ. ๐˜ž๐˜ฆ ๐˜ข๐˜ณ๐˜ฆ ๐˜ฏ๐˜ฐ๐˜ต ๐˜ฑ๐˜ณ๐˜ฐ๐˜ง๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ๐˜ด ๐˜ฐ๐˜ณ ๐˜ญ๐˜ช๐˜ค๐˜ฆ๐˜ฏ๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฅ๐˜ท๐˜ช๐˜ด๐˜ฐ๐˜ณ๐˜ด.

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