Wow that's crazy! You are using 3.5 right?
GENERATIVE AI
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Telecom Leaders Leverage GenAI with NVIDIA for Network Operations
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At #MWC24, learn how leading #telecom companies are working with NVIDIA to enhance customer experiences and improve network operations with #GenAI, transform RANs, and build sovereign AI factories. Explore featured sessions, demos, and an AI showcase: https://
nvda.ws/4bq2wsi -
Optimizing metadata in AI-generated image pipelines
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1. Metadata can be removed from the image 2. Example: 287k → 381k for WebP through ChatGPT (32% increase) – image files will become 3-30% bigger So… AI Image content generation will require one extra step in the pipeline to strip this metadata.
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Meta and OpenAI implement C2PA metadata for AI-generated images
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Both Meta and OpenAI are announcing C2PA spec support. DALL-E-generated images will include new metadata which other big platforms can detect and use to label as "AI generated"
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Luma Labs Announces Native App Launch Excitement
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This is so much fun! I'm excited for a native Luma app! (Which @LumaLabsAI has hinted is coming!)
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Deepfake Detection Industry Boom Amid Growing Threats
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Unfortunately, It’ll only get worse. There’s also a massively booming industry build around bot/deepfake detection right now
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Establishing Image Provenance and Digital Trust Signals
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Since the metadata can be removed, its absence doesn’t mean an image is not from ChatGPT or our API. Broader adoption of methods for establishing provenance and encouraging users to look for these signals are steps towards increasing the trustworthiness of digital information.
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ChatGPT and DALL-E 3 now include C2PA metadata specifications
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Images generated in ChatGPT and our API now include metadata using C2PA specifications. This allows anyone (including social platforms and content distributors) to see that an image was generated by our products. https://
help.openai.com/en/articles/89
12793-c2pa-in-dall-e-3
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Generative AI Accelerates Semiconductor Chip Design Process
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The semiconductor industry is using generative artificial intelligence to accelerate chip design—a process that has become more time-consuming and complex just as demand picks up, @bellelin_ reports.