The technology, akin to self-driving cars, frequently encounters issues with "edge cases" – situations it hasn't encountered before. This unreliability has eroded consumer trust, as exemplified by unexpected behaviors like unsolicited tweeting. This scenario reflects a broader dilemma in the AI industry, where long-term research aspirations clash with the immediate return expectations of venture capital investments.
Additionally, there's an ongoing debate about the effectiveness of vertical-specific agents (focused on specific tasks) versus general-purpose agents. This discussion reflects the evolving nature of AI agent technology and the quest for a balance between specialization and versatility.
The internship focuses on efficient inference and training of Large Language Models. Candidates should email their CV along with relevant research or codes. The requirements include long-term availability (both spring and summer), US work authorization with a preference for relocation to Seattle, research experience in NLP and ML, proficiency in PyTorch or Jax, and current enrollment in a PhD program. This is a rare opportunity to step directly into the AI world of one of the biggest and most prestigious companies in the industry. While Farajtabar may not respond to all inquiries, he assures that all applications will be read and considered, with follow-ups for the most fitting candidates.
Email him at m_farajtabarATappleDOTcom
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The regulation of artificial intelligence (AI) is a divisive topic in Silicon Valley, with government officials and big tech firms like Google, Microsoft, and OpenAI acknowledging the need for guidelines. However, many tech leaders, including venture capitalists and CEOs of midsize software companies, argue that AI laws could stifle innovation and competition. They fear that regulations might favor large firms, limiting opportunities for smaller companies and startups.
Some tech leaders fear that government involvement could make AI development more difficult and expensive. They also worry about the impact on the open-source community. On the other hand, large AI companies have been more receptive to regulation, seeing it as a way to prevent negative outcomes, increase investment, and gain public trust in AI.
This conversation was part of the broader agenda of this week’s Asia-Pacific Economic Cooperation summit, where Biden emphasized the importance of distinguishing between useful and dangerous applications of AI. Over the past year, the Biden administration has intensified efforts to restrict China’s access to American chips and other vital technologies, highlighting the strategic importance of these sectors in the ongoing rivalry between the two global superpowers.
In case you’re interested — we’ve got a bunch of cool AI tools listed over at Daily Zaps AI hub. If you have any cool tools to share, feel free to submit them or get in touch with us by replying to this email.
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