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Jony Ive and Sam Altman’s AI Device Startup in Funding Talks With Emerson, Thrive

Sam Altman, the CEO of OpenAI, and Jony Ive, the former design chief at Apple, are joining forces to raise funding for a new, secretive AI device startup. They're in talks with major venture capitalists, including Thrive Capital and Emerson Collective, aiming to secure up to $1 billion. The product they're developing is set to redefine personal AI interaction, moving beyond the traditional smartphone framework to introduce new ways of engaging with artificial intelligence.

The specifics of the device are still under wraps, but it's expected to diverge significantly from conventional smartphones, potentially aligning with emerging AI-powered hardware trends. Since his departure from Apple, Ive has maintained a relatively low profile in product design, while Altman continues to expand his influence in the AI sector through various ventures, including an AI chip manufacturing company.

The collaboration between Ive and Altman hints at a device that will likely harness OpenAI's advanced AI technologies, possibly incorporating their renowned GPT models. This project promises to reshape our daily interactions with AI, leveraging Ive's design acumen and Altman's technological foresight to produce a device that's both groundbreaking and practical in its application of artificial intelligence.

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Google Let OpenAI Scrape YouTube Data Because Google Was Doing It Too

A recent report from The New York Times highlights allegations that OpenAI and Google may have infringed on YouTube creators' copyrights by using transcriptions of YouTube videos to train their AI models. This revelation followed a statement from YouTube CEO Neal Mohan, who mentioned that utilizing YouTube content in this way would breach the platform's policies. OpenAI's usage of its Whisper tool to transcribe video content for GPT-4 training, as well as Google's own training practices, are under scrutiny, despite Google's assertions that they only use content from consenting creators.

The article further delves into the specifics of how Google and OpenAI might have navigated these practices, with Google reportedly altering its privacy policy to more comprehensively encompass the use of public content for AI training. This adjustment, made in mid-2023, was described by Google as a move for greater clarity, ensuring that only data from users who opt into experimental features would be utilized for training purposes.

Lastly, the report underscores the ongoing conversation around the ethical use of publicly available data for AI development, spotlighting the challenges companies face in balancing innovation with copyright adherence. The situation has prompted both tech giants to reconsider their data usage policies, especially in light of growing scrutiny from content creators and regulatory bodies regarding the transparency and legality of AI training methodologies.

Meta’s new AI deep fake playbook: More labels, fewer takedowns

Meta is adjusting its guidelines on AI-generated content and manipulated media, now opting to label rather than remove such content, especially deepfakes, across its platforms like Facebook and Instagram. This decision follows advice from its Oversight Board and is geared towards enhancing transparency rather than censorship, focusing on adding "Made with AI" badges and providing extra context for content that could mislead the public, particularly during significant events like elections.

The company's shift is partially in response to regulatory pressures, including the EU's Digital Services Act, balancing the need to curb misinformation while safeguarding free speech. Meta plans to stop removing content solely based on its manipulated video policy, transitioning to a system where content is labeled for additional context, especially if it poses a significant risk of misleading the public on important issues.

Meta's expanded labeling approach includes not just video but also audio and images, responding to the evolving landscape of AI-generated media. Alongside internal measures, Meta is collaborating with nearly 100 external fact-checkers to assess and mitigate the spread of false or altered content, adjusting its algorithms to reduce the visibility of such content while providing users with more information to evaluate what they see online.

Other stuff

• Trudeau announces $2.4 billion for AI-related investments

• Blind internet users struggle with error-prone AI aids

• AI assists clinicians in responding to patient messages at Stanford Medicine

• Apple Is Rebooting Its Search for a New Next Big Thing

• How Tech Giants Cut Corners to Harvest Data for A.I.

• X makes Grok chatbot available to premium subscribers

• AI Engineers gathered at the MongoDB office to hack memory into the LLMs.

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