Hello Haven launches personal AI twin with $15 million
Hello Haven launched Haven in a press release, alongside a $15 million pre seed funding round led by Mayfield. The personal AI assistant creates a private memory graph containing a user's preferences, relationships, history, decisions, permissions and boundaries.
Haven uses that context to select AI models and tools, then complete tasks through phone, text, email, voice, the web and its app. It can prepare daily briefings, sort email, send follow ups, process returns, place orders, make calls and run recurring tasks.
Hello Haven says the service can access more than 500 AI models and over 100 app integrations. Private beta users have interacted with Haven more than 2 million times. The service is available through its website, the Apple App Store and Google Play, while a developer platform is planned.
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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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