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Industry
United States· TechCrunch AI· 12 Aug 2026

Amazon will train on Twitch streamers’ content by default, unless they opt out

Amazon has announced that it will use content from Twitch streamers—such as gameplay, chat, and video—to train its AI models by default, requiring creators to actively opt out if they wish to exclude their material. The decision follows internal discussions and user feedback, with Twitch’s Chief Product Officer Mike Minton acknowledging on a livestream that an opt-in system would likely see near-zero participation, implying that most streamers would not voluntarily contribute their data. This move raises concerns about consent, intellectual property, and the ethical use of creator-generated content in AI development, particularly as streamers may not be aware their broadcasts are being harvested for model training without explicit agreement.

What this means for you

Streamers should review Twitch’s updated terms and opt out of AI data usage if they wish to retain control over how their content is used, while professionals and businesses must scrutinize data sourcing practices when adopting AI tools trained on user-generated content.

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Products
United States· The Verge AI· 3h ago

Anthropic CEO says it’s time to pump the brakes on AI

Anthropic CEO Dario Amodei has proposed a strategic shift in AI development, advocating for a measured pace rather than an unchecked race for intelligence. By inviting independent third-party assessors like METR to audit their systems, the company aims to establish a new standard for transparency and safety. This move signals a significant departure from the 'growth-at-all-costs' mentality, suggesting that the industry must prioritize verifiable safety protocols before deploying more powerful models to the public.

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Industry
United States· TechCrunch AI· 3h ago

Anthropic CEO outlines plan to ‘pace the frontier’

Anthropic CEO Dario Amodei has proposed a strategic shift aimed at decelerating the breakneck speed of artificial intelligence development. By advocating for a more deliberate 'pacing' of innovation, the company suggests that industry leaders should prioritize safety evaluations and societal impact assessments over mere technical capability benchmarks. This shift marks a significant departure from the competitive race between major AI labs, highlighting growing concerns that rapid deployment without adequate guardrails could pose existential or systemic risks to global infrastructure.

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Industry
United States· TechCrunch AI· 22h ago

Y Combinator’s Garry Tan wants U.S. open-weight AI labs to ‘distill’ frontier models, too

Y Combinator leader Garry Tan is advocating for a shift in how leading artificial intelligence developers share their technology. He contends that since foundational models are built upon vast repositories of human-generated information, the resulting capabilities should be accessible as a public benefit. By encouraging labs to create smaller, distilled versions of frontier models, Tan hopes to democratize access to high-performance AI, moving away from closed-off ecosystems toward a more equitable distribution of innovative tools.

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