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OpenAI embarks on a 12-day livestream marathon, promising the debut of Sora’s text-to-video technology and a novel reasoning tool, offering a tantalizing glimpse into AI's creative and cognitive future.
OpenAI is set to kick off a series of 12 livestreams starting tomorrow, where they will announce new features and demos over the next 12 days. According to sources familiar with the matter who spoke to The Verge, these announcements are expected to include Sora, OpenAI’s highly anticipated text-to-video model, and a new reasoning tool.
Sora is a text-to-video generation model that has been in development for some time. Initially revealed earlier this year, it was shared with a select group of testers but faced controversy when several artists leaked the model to protest "unpaid labor." This leak raised significant concerns about data provenance and usage rights.
OpenAI is also rumored to be launching a new reasoning model. While details are sparse, this could significantly enhance the capabilities of their existing models like GPT-4 by improving logical and contextual understanding.
Sora:

New Reasoning Model:
OpenAI isn’t the only player in the text-to-video space. Google’s Veo, announced three months after Sora’s initial unveiling, is now available to Google Vertex AI users via private preview. Veo is designed to generate high-quality videos from text prompts, similar to Sora, but with a focus on enterprise use cases.
The controversy surrounding Sora highlights the ongoing debate over data provenance in AI models. OpenAI has faced criticism for the way it sources training data, particularly regarding the scraping of public content without explicit consent. This issue is not unique to OpenAI; it affects many AI companies that rely on large datasets for model training.
The upcoming 12-day livestream event from OpenAI promises to be a significant moment in the AI landscape. The launch of Sora and the new reasoning model could push the boundaries of what’s possible with text-to-video generation and logical reasoning, but it also brings to the forefront important ethical and legal questions that need to be addressed.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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9 December 2024
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