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DeFi Teddy
@DeFiTeddy2020
Cooking XHuntAI&Biteye AI&Web3 Researcher 欢迎大家加入tg群
Joined September 2020
1.3K Following    51.3K Followers
David Sacks也出来喷大模型公司了,我个人总结了大模型公司的七宗罪 1. 数据盗窃:未经授权狂抓个人隐私训练(大模型公司说穿了,就建立在是全人类的数据+几千年人类的技术进步) 2. 企业掠夺:偷偷获取企业数据,构建替代品(大家可以研究一下claude design如何“偷偷学习” fimga,然后推出取代产品) 3. 价格垄断:token费收割用户(模型训练靠用户数据,反过来还向用户收高额费用?) 4. 贫富分化:红利全进巨头口袋(普通人付不起token费用,但是大模型公司人均资产过亿) 5. 就业屠杀:大规模替代人类工作(互联网公司替代了部分人类,但是带来了新的就业机会,但是大模型公司则是单方面的消灭人类就业机会) 6. 权力集中:AI寡头掌控一切 ( 中心化的风险非常大,建议政府反垄断调查介入) 7. 黑箱欺诈:模型不透明(如果模型失控,会带来全人类的威胁) 这或许是对全人类的新殖民主义。 大家怎么看?
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Legacy Media types are calling this Alex Karp interview a “crash-out” so that’s your first clue that he is actually saying something extremely insightful. He is articulating what real “AI safety” looks like in the enterprise. Not abstract alignment research or certification by a government-run DMV for AI. Real AI safety for businesses is the ability to control their own data, model weights, and compute — so a frontier lab can’t hoover up their proprietary knowledge and turn it into their next product. As Karp explains, technical customers want “control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it’s not being transferred to someone else.” Don’t think that can happen? Just look at Figma. According to The Information, Anthropic “blindsided” its then-business partner with the launch of Claude Design. Figma’s founder said Anthropic had not been “consistently honest” with them. Anthropic’s chief product officer had even served on Figma’s board until three days before the launch of Claude Design. Figma’s stock has fallen sharply this year while Anthropic’s valuation has surged. This isn’t an isolated example. Anthropic has launched Claude Science, Claude Security, Claude Legal, and of course Claude Code — each expanding into categories previously served by companies building on top of their models. The pattern is consistent: watch where value is being created, then move in directly. Dominate the model layer, then use that position to capture the most lucrative verticals. Dario has argued that open source models powerful enough to compete with Anthropic are “dangerous.” But dangerous to whom? Not to enterprises that want to retain control over their data and workflows. Dangerous to a business model that benefits from customers having few real alternatives at the model layer. As Karp exposes, true enterprise safety isn’t trusting that a lab’s future roadmap won’t include your business. It’s retaining the ability to choose — at the model layer — who gets to see and use your alpha.
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