Could OpenAI’s ‘Sora’ Be Released Today?

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Today’s trending AI news stories

OpenAI Signals Imminent Release of Sora Video Generator

OpenAI is on the cusp of unveiling an enhanced version of its Sora video generator, integrating sophisticated capabilities like text-to-video, text-and-image-to-video, and text-and-video-to-video generation, accommodating clips up to at least one minute in duration.

Sora v2 release is impending:

* 1-minute video outputs
* text-to-video
* text+image-to-video
* text+video-to-video

OpenAI’s Chad Nelson showed this on the C21Media Keynote in London. And he said we are going to see it very very soon, as @The identical has foreshadowed.

— Ruud van der Linden (@RuudNL)
3:57 PM • Dec 7, 2024

OpenAI’s Chad Nelson revealed these details in the course of the C21Media event in London, corroborated by recent API leaks indicating a faster, more efficient design. The rollout, potentially aligned with OpenAI’s winter event, could also introduce GPT-4.5 and advanced image-generation updates for GPT-4o. If realized, this suite of enhancements would further consolidate OpenAI’s standing in generative AI. Read more.

𝕏 adds, then quickly removes, Grok’s latest ‘Aurora’ image generator

Elon Musk’s 𝕏 briefly debuted Aurora, a photorealistic image generator integrated into the Grok assistant, only to remove it shortly after. Listed as “Grok 2 + Aurora (beta),” it was replaced by “Grok 2 + Flux (beta)” inside days. Musk admitted the tool’s beta status, promising swift upgrades. While Aurora’s ability to conjure images of public figures and copyrighted characters caught eyes, flaws like anatomical distortions and provocative outputs sparked scrutiny over content moderation and technical maturity.

Aurora’s rollout aligns with Grok’s pivot to a freemium model, offering 10 prompts and three image analyses every two hours, expanding access beyond its initial paywall. Developed by xAI, which recently secured $6 billion in funding, these shifts suggest a calculated push to broaden AI adoption while grappling with thorny challenges of compliance and refinement. Read more.

Meta Launches Open Source Llama 3.3, Shrinking Powerful Model Into Smaller Size

Meta’s Llama 3.3 is a leaner, meaner version of its predecessor, packing the punch of a 405-billion-parameter model right into a way more efficient 70 billion parameters. This upgrade slashes GPU memory needs—as much as 24 times less load for a similar performance—making it a cheap selection for developers.

At just $0.01 per million tokens for generation, it’s a competitive alternative to GPT-4 and Claude. Llama 3.3 shines in multilingual reasoning with a 91.1% accuracy on MGSM, outdoing Amazon’s Nova Pro in key NLP benchmarks. Trained on 15 trillion tokens and fine-tuned on 25 million synthetic examples, it encompasses a 128k token context window and Grouped Query Attention for enhanced scalability.

Meta also made strides in sustainability, ensuring a net-zero emission footprint despite the hefty computational demands. Llama 3.3 is a strong, budget-friendly tool with an environmental conscience. Read more.

OpenAI’s ‘Ship-Mas’ Continues with Reinforcement High quality-Tuning for Expert Models

OpenAI’s latest Reinforcement High quality-Tuning (RFT) method gives its o1 models the flexibility to tackle complex tasks with minimal training data. Unlike traditional fine-tuning, RFT allows models to explore potential solutions before evaluation, reinforcing effective reasoning and penalizing mistakes.

In collaboration with Thomson Reuters, RFT demonstrated its prowess, with the o1 Mini model outperforming standard versions in legal tasks. RFT also proved priceless in bioinformatics, hitting 45% accuracy in gene identification for rare genetic diseases.

OpenAI is now inviting select organizations to take part in an early access research program, with wider availability slated for 2025, cementing RFT’s potential in expert systems and area of interest AI applications. Read more.