
Internal emails from Microsoft executives, revealed during the Musk v. Altman trial, show the company's early doubts about investing in OpenAI. In 2017, Microsoft executives were skeptical about OpenAI's potential for significant AI breakthroughs and were concerned about the financial implications of providing extensive cloud services. Despite these reservations, Microsoft eventually invested $1 billion in OpenAI in 2019, leading to a successful partnership. The emails underscore the strategic risks Microsoft considered, including the possibility of OpenAI partnering with competitors like Amazon.
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© WIRED AIIn a surprising turn, the Trump administration is reportedly considering an executive order to establish federal oversight of AI models, marking a potential shift from its previous deregulatory stance. This move could involve a committee of tech executives and government officials reviewing AI models before public release, a significant change from the administration's earlier approach. The timing is notable as major tech companies like Google and Microsoft have already agreed to provide early access to their models to the government. If implemented, this could signal a new era of AI regulation, balancing innovation with safety concerns.
© 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.