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A key aspect of the E.U.'s landmark AI Act could be watered down after the French, German, and Italian governments advocated for limited regulation of the powerful models--known as foundation models--that underpin a wide range of artificial intelligence applications. A document seen by TIME that was shared with officials from the European Parliament and the European Commission by the three biggest economies in the bloc over the weekend proposes that AI companies working on foundation models regulate themselves by publishing certain information about their models and signing up to codes of conduct. There would initially be no punishment for companies that didn't follow these rules, though there might be in future if companies repeatedly violate codes of conduct. They are some of the most powerful, valuable and potentially risky AI systems in existence. Many of the most prominent and hyped AI companies--including OpenAI, Google DeepMind, Anthropic, xAI, Cohere, InflectionAI, and Meta--develop foundation models.

In June I had a conversation with chief scientist Ilya Sutskever at OpenAI's headquarters, as I reported out WIRED's October cover story. Among the topics we discussed was the unusual structure of the company. OpenAI began as a nonprofit research lab whose mission was to develop artificial intelligence on par or beyond human level--termed artificial general intelligence or AGI--in a safe way. The company discovered a promising path in large language models that generate strikingly fluid text, but developing and implementing those models required huge amounts of computing infrastructure and mountains of cash. This led OpenAI to create a commercial entity to draw outside investors, and it netted a major partner: Microsoft. Virtually everyone in the company worked for this new for-profit arm.

Elon Musk needed fewer than 100 characters to add new chaos to the ongoing crisis swirling around OpenAI after the shock firing of CEO Sam Altman last week. In a post on X Tuesday Musk drew attention to an anonymous letter accusing Altman of various examples of underhanded behavior as CEO of OpenAI. The link shared by Musk was to a copy of the letter uploaded to Github, a resource for sharing code. That copy of the letter was removed less than an hour after Musk posted it. Sources familiar with Altman's tenure at OpenAI told WIRED they were not familiar with the accusations.

Evan Morikawa, an engineering manager at OpenAI, has said that 743 out of 770 employees at OpenAI have signed a letter calling on the board to resign - with staff themselves threatening to leave if their demands are not met.

Recent developments in Generative AI, Computer Vision, and Natural Language Processing have led to an increased integration of AI models into various products. This widespread adoption of AI requires significant efforts in deploying these models in production environments. When hosting machine learning models for real-time predictions, it is important to meet defined Service Level Objectives (SLOs), ensuring reliability, minimal downtime, and optimizing operational costs of the underlying infrastructure. Large machine learning models often demand GPU resources for efficient inference to meet SLOs. In the context of these trends, there is growing interest in hosting AI models in a serverless architecture while still providing GPU access for inference tasks. This survey aims to summarize and categorize the emerging challenges and optimization opportunities for large-scale deep learning serving systems. By providing a novel taxonomy and summarizing recent trends, we hope that this survey could shed light on new optimization perspectives and motivate novel works in large-scale deep learning serving systems.

This study looks at how generative artificial intelligence (AI) can revolutionize marketing, product development, and research. It discusses the latest developments in the field, easy-to-use resources, and moral and social hazards. In addition to addressing mitigating techniques for issues like prejudice and disinformation, the debate emphasizes the significance of responsible development through continual stakeholder communication and ethical principles.

It's been four full days since Sam Altman's shocking dismissal from OpenAI, and we still have no idea where he's going to land. There are suggestions that Altman, one of the most powerful figures in AI, could return to the company if the board changes significantly--talks are reportedly under way. But there is also an offer on the table from Microsoft to start a new AI research group there, which would be a cruelly ironic outcome for OpenAI, which was founded as a nonprofit with the goal of drawing talent away from Silicon Valley's biggest companies and developing AI safely. How Altman got to this moment is telling. In the days after his firing, he managed to prove that he is far more than a figurehead, winning over a majority of OpenAI employees (including Ilya Sutskever, the company's chief scientist and the reported architect of his dismissal--it's, uh, complicated) and some of the tech industry's biggest luminaries.

Talks continued Tuesday on the future of OpenAI, the artificial-intelligence company that has been roiled by turmoil and uncertainty since the nonprofit board that oversees the startup ousted Chief Executive Sam Altman last week. The company's board, senior leaders and Altman were discussing a way to "reunify" the company, according to an internal memo from Anna Makanju on Monday night. "Our number one goal remains to reunify OpenAI and discussions are actively ongoing," Makanju wrote in the memo, which was reviewed by The Wall Street Journal, and previously reported by Bloomberg News. "These intense discussions can drag out, and I know it can feel impossible to be patient," wrote Makanju, head of global affairs at OpenAI. "In the meantime, know that we have a plan that we are working toward. We will be sure to update you as soon as we have more details."

OpenAI rival Anthropic launched Claude 2.1 today. The latest version of the ChatGPT rival boosts its context window to 200,000 tokens, allowing you to paste the entirety of Homer's The Odyssey for AI analysis. The company said version 2.1 also halves Claude's hallucination rate, leading to fewer erroneous answers (like those the ChatGPT lawyer trusted far too much). Coincidentally or not, the update arrives as the tech world watches Anthropic's rival OpenAI descending into pandemonium. The company says Claude 2.1's 200K-token context window allows users to upload entire codebases, academic papers, financial statements or long literary works.