Jim Cramer from CNBC discussed the ongoing challenges faced by artificial intelligence (AI), particularly in achieving reliability. Despite being an optimist about AI’s potential, he noted that its current accuracy stands at around 90%, according to Nvidia CEO Jensen Huang. This 10% gap in accuracy creates concerns, especially for high-stakes applications where precision is crucial. Cramer shared personal experiences with Google Gemini, revealing inaccuracies about his location, which prompted him to question the technology’s reliability for serious tasks, such as legal consultations. He humorously referenced potential absurdities resulting from these errors. Cramer concluded that while AI shows promise—particularly for quick summaries and stock analysis—it’s still not dependable enough for critical industries. For those interested in AI advancements, Cramer indicated progress will come, but likely not within this or next year. This perspective aligns with growing discussions on AI’s role in various sectors, including finance and law.
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