Twinnin launches tools for AI likeness consent and takedowns
Twinnin announces in a press release the launch of Human Verified and Defend Twinn, two services for managing AI use of human likenesses.
Defend Twinn lets people verify their identity, record a timestamped objection to AI use of their likeness, and initiate and track takedown requests.
Human Verified accredits businesses that use human likenesses with consent. Model Management is the first partner and will provide access to the service across its network of more than three million models under an exclusive agreement. The Human Verified mark will also appear on the Model Management website.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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