The company plans to roll out CarePods in major U.S. cities, offering access for $99 per month. However, this innovative approach raises significant concerns and skepticism among medical professionals. There are worries about the potential for misdiagnosis, oversimplification of complex health issues, and whether the technology can truly replace the nuanced care provided by human medical professionals.
The CarePod's AI is overseen by doctors remotely, but the prospect of one doctor monitoring multiple pods simultaneously raises questions about the quality and attention to detail in patient care. Critics also question the affordability and accessibility of such technology for lower-income patients.
The DevDay event was notable for the announcement of various new capabilities in GPT-4, including the creation of custom bots tailored to specific tasks and the introduction of GPT-4 Turbo. Users also gained access to multimodal GPT-4 features like web browsing, image generation with DALL-E 3, and advanced data analysis, all seamlessly integrated without the need to switch between features.
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While ChatGPT has shown proficiency in various business, legal, and academic areas, it has limitations. The system can be inaccurate or inconsistent, particularly when questions are phrased in certain ways, leading to what is known as "hallucination" or generating incorrect information. This issue was highlighted in a study by Wei Wang at the University of California, Los Angeles, who found that both GPT-3.5 and GPT-4, the technologies behind ChatGPT, often provided incorrect answers to university-level questions in subjects like physics, chemistry, computer science, and mathematics.
Microsoft announces custom AI chips
Microsoft CEO Satya Nadella recently revealed the company's first self-developed server chips, confirming earlier reports about Microsoft's efforts to reduce its dependence on Nvidia, a leading AI chip designer. This move aligns Microsoft with competitors like Amazon, who have already developed in-house chips. The new central processing unit, named Cobalt (internally codenamed Cascade), and an AI chip, Maia (codenamed Athena), are set to power Microsoft's data center servers next year.
These chips will be utilized for AI services offered to cloud customers, including the Azure OpenAI Service and Office 365 Copilot. Although specific performance details were sparse, Nadella mentioned that the AI chip requires advanced cooling, leading to the development of a custom server rack.
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