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OpenAI introduces Sora, a large-scale text-conditional diffusion model capable of generating up to one minute of high-fidelity video content. The model uses transformer architecture on spacetime patches and represents a significant advancement toward building general purpose physical world simulators.
AI company terminated accounts linked to state-affiliated threat actors attempting to use AI models for malicious cybersecurity purposes. Investigation revealed that the AI models provided only limited incremental capabilities for such malicious activities.
NIST has issued a request for information regarding its assignments under sections 4.1, 4.5, and 11 of the Executive Order on Artificial Intelligence. This represents a formal step in implementing federal AI regulatory framework and standards development.
Researchers developed a framework to assess whether large language models could help create biological threats, testing GPT-4 with biology experts and students. The study found GPT-4 provides only mild assistance in biological threat creation, though results aren't conclusive and require further research.
Hugging Face and Google have announced a strategic partnership to advance open AI collaboration. The partnership aims to democratize AI development by combining Hugging Face's open-source platform with Google's cloud infrastructure and AI capabilities.
Multiple Ethereum client teams have released critical updates ahead of the Dencun upgrade activation on February 7th. Lodestar v1.15.0 is mandatory for Holesky users, while Prysm v4.2.1 and Nimbus releases are highly recommended for network participants.
The KZG Ceremony completed as the largest multi-party computation by participant count, creating a secure cryptographic foundation for EIP-4844. The ceremony used an open and accessible process to establish this crucial infrastructure for Ethereum's scaling improvements.
OpenAI is launching the GPT Store, a marketplace where users can discover and access useful custom versions of ChatGPT. This represents a significant expansion of the ChatGPT ecosystem by creating a centralized platform for specialized AI applications.
Ethereum's Dencun upgrade will activate on the Goerli testnet on January 17, 2024 at 6:32 UTC, introducing blob transactions. This will be Goerli's final upgrade before core teams discontinue support, with Sepolia and Holesky testnets following if successful.
A new $10 million grant program has been launched to fund technical research focused on aligning and ensuring the safety of superhuman AI systems. The initiative targets key areas including weak-to-strong generalization, interpretability, and scalable oversight methods.
Axel Springer has become the first global publishing house to partner on deeper AI integration in journalism technologies. This partnership represents a significant milestone in AI adoption within the media industry.
Hugging Face introduces Mixtral, a state-of-the-art Mixture of Experts (MoE) model that represents a significant advancement in AI architecture. The model demonstrates improved efficiency and performance compared to traditional dense models by selectively activating subsets of parameters.
Sam Altman has returned as CEO of OpenAI following recent leadership upheaval, with the company establishing a new initial board. Mira Murati continues as CTO while Greg Brockman returns to his role as President, signaling organizational stability after recent governance changes.
OpenAI has introduced GPTs, a new feature that allows users to create custom versions of ChatGPT with personalized instructions, additional knowledge bases, and specialized skills. This development enables users to tailor AI assistants for specific use cases and requirements.
OpenAI announced major updates at DevDay including GPT-4 Turbo with 128K context window and reduced pricing, new Assistants API, GPT-4 Turbo with Vision capabilities, and DALL·E 3 API access. These developer-focused releases significantly expand AI capabilities and accessibility for building applications.
OpenAI is developing its approach to catastrophic risk preparedness for highly-capable AI systems. The company is building a dedicated Preparedness team and launching a challenge to address frontier AI safety risks.
The Frontier Model Forum, comprising major tech companies including Anthropic, Google, and Microsoft, has announced a new Executive Director and established a $10 million AI Safety Fund. This initiative represents a significant collaborative effort among leading AI companies to address safety concerns in frontier AI model development.
Large language models like ChatGPT face security challenges from adversarial attacks and jailbreak prompts that can bypass safety measures implemented during alignment processes like RLHF. Unlike image-based attacks that operate in continuous space, text-based adversarial attacks are more challenging due to the discrete nature of language and lack of direct gradient signals.
The article appears to be from an Ethics and Society Newsletter discussing Hugging Face's engagement with Washington policymakers during summer 2023. However, the article body content was not provided, limiting the ability to analyze specific details or implications.
ChatGPT is rolling out new multimodal capabilities that enable voice conversations and image recognition. These features represent a significant advancement in AI interface design, making interactions more intuitive and natural.
Geth v1.13.0 has been released, following closely after the v1.12 release family. The main feature of this version has been in development for approximately 6 years, representing a significant milestone for the Ethereum client software.
OpenAI announces its first-ever developer conference scheduled for November 6 in San Francisco. The event will offer both in-person attendance with registration opening soon and live streaming of the keynote for global developer access.
OpenAI has released fine-tuning capabilities for GPT-3.5 Turbo, allowing developers to customize the model using their own datasets. This update enables more tailored AI applications by training the model on specific use cases and domain-specific data.
The article title suggests Apple has released Swift Transformers, a framework for running large language models locally on Apple devices. This would enable on-device AI inference without requiring cloud connectivity, potentially improving privacy and performance for iOS/macOS applications.
The article discusses the development of encrypted large language models using Fully Homomorphic Encryption (FHE) technology. This approach would allow AI models to process data while keeping it encrypted, potentially addressing privacy concerns in AI applications.
