
The Trump administration is reportedly considering an executive order to introduce federal oversight of AI models, a notable shift from its previous deregulatory approach. This potential move would involve a committee of tech executives and government officials reviewing AI models before they are released to the public. The consideration comes as companies like Google and Microsoft have already agreed to give the government early access to their models. If enacted, this could mark a significant change in how AI is regulated in the U.S., reflecting growing concerns over AI's impact on jobs, privacy, and safety.
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© WIRED AIThe Musk v. Altman trial has unveiled internal Microsoft emails from 2017 and 2018, revealing the tech giant's initial hesitations about investing in OpenAI. Despite early skepticism from executives, who doubted OpenAI's potential for breakthroughs in artificial general intelligence, Microsoft eventually committed to a $1 billion investment in 2019. This decision marked the beginning of a highly successful partnership, with Microsoft becoming a major financial backer of OpenAI. The emails highlight the strategic considerations and risks Microsoft weighed, including the potential loss of OpenAI to competitors like Amazon.
© WIRED AIChatGPT's repeated use of the phrase 'I will catch you steadily' in Chinese has turned into a meme, capturing both amusement and irritation among users. This phrase, which is more common in psychotherapy, feels out of place in everyday conversation, revealing the difficulties AI models face in capturing cultural subtleties. The situation, known as 'mode collapse,' arises when models excessively repeat certain phrases due to feedback during training. This linguistic quirk highlights the ongoing challenge for AI in maintaining natural language flow across different languages. As other AI models begin to echo similar phrases, the meme's impact is likely to endure.
© WIRED AIA recent investigation by cybersecurity firm RedAccess has uncovered that thousands of web applications created with AI coding tools like Lovable, Replit, Base44, and Netlify are leaving sensitive corporate and personal data exposed. These 'vibe-coded' apps often lack fundamental security measures, allowing anyone with the URL to access potentially sensitive information. This situation raises concerns as AI tools enable non-experts to develop web apps without adequate security knowledge. The incident is reminiscent of past data exposure issues caused by misconfigured cloud storage, emphasizing the urgent need for better safeguards in AI-driven development environments.
© SiftedArāya Ventures and Sie Ventures have successfully raised £7.5 million in their first close for the Arāya Sie Fund, aimed at supporting women-led startups in the UK and Europe. This initiative comes at a crucial time when the tech industry is often criticized for its male-dominated culture. By focusing on female founders, the fund seeks to address gender disparities in tech entrepreneurship. This move not only provides financial backing but also aims to shift the narrative towards more inclusive innovation. The fund's establishment marks a significant step towards empowering women in the tech sector.
© TechCrunch AIBasata is tackling a critical bottleneck in healthcare by automating the referral process between primary care doctors and specialists. Founded by Kaled Alhanafi and Chetan Patel, the company uses AI to process referrals and schedule appointments, aiming to bridge the gap that often leaves patients waiting. With a recent $21 million Series A funding led by Basis Set Ventures, Basata is poised to expand its operations, focusing initially on cardiology and urology. This approach not only promises to reduce administrative burdens but also enhances patient care by speeding up the scheduling process.
© TechCrunch AIPit, a new AI startup from the co-founders of Voi, has secured a $16 million seed round led by Andreessen Horowitz. The company aims to revolutionize enterprise AI by creating custom software that automates internal processes, freeing employees to focus on core business tasks. Unlike many competitors, Pit offers an 'AI product team as a service,' allowing enterprises to guide AI in automating their specific needs. This approach could set Pit apart in a crowded market, especially as it leverages its European roots to cater to industrial sectors. With backing from a16z and a strong founding team, Pit is poised to make a significant impact in the enterprise AI space.