Use of AI-generated Characters for Different Fields
To boost the potential of the technology, the researchers at MIT Media Lab and their colleagues at the University of California at Santa Barbara and Osaka University have built an open-source, convenient character generation pipeline that integrates AI models for facial gestures, voice, and motion. It can be used to create a variety of audio and video outputs.
The pipeline also connects the resulting production to a traceable, comprehensible watermark to differentiate it from original video content, and to demonstrate how it was created.
The technology itself suggests a way for instruction to be customized for your interest, context, idols, and possibility for change over time.
Jeff Bezos's physical AI startup Prometheus has raised $12B at a $41B valuation to build AI tools that automate the design and manufacturing of complex physical products.
Niteshift, founded by two Datadog veterans, has raised $7M to build a model-agnostic cloud infrastructure layer for AI coding agents, betting that enterprises will want to avoid vendor lock-in with the major AI labs.
PhysicsX, a London-based AI engineering startup, has raised $300M at a $2.4B valuation to scale its physics simulation platform across industries like aerospace, semiconductors, and automotive.
Suno raised $400 million at a $5.4 billion valuation—more than doubling its worth in seven months—despite facing copyright lawsuits from Universal Music Group and Sony alleging unauthorized use of over 61,000 copyrighted works in its AI training data.
OpenAI expanded Codex with six role-specific plugins for jobs like sales and investment banking, a Sites feature for sharing work as hosted interactive webpages, and inline Annotations for targeted edits, as non-developer users grow three times faster than developers on the platform.
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