Why Joe Rogan is so afraid of AI

Joe Rogan reacts to a video where one of Google’s AI systems itself learned a foreign language that it was not supposed to learn, Sundar Pichai, CEO of Google, commented on this.

Google CEO says he doesn’t ‘fully understand’ how new AI program Bard works after it taught itself a foreign language it was not trained to and cited fake books to solve an economics problem.

Google’s AI program was able to, for example, learn Bangladeshi without training after being prompted in the language.

In the industry, this sort of error is called ‘hallucination.’

Elon Musk and a group of artificial intelligence experts and industry executives have in recent weeks called for a six-month pause in developing systems more powerful than OpenAI’s newly launched GPT-4, in an open letter citing potential risks to society.

Artificial Intelligence (AI) holds immense potential to transform our world, but we must also be aware of its potential dangers. Here are some key considerations:

1️⃣ Ethical Concerns: As AI advances, we must ensure it aligns with ethical standards. The potential for biased algorithms, invasion of privacy, and unintended consequences calls for careful regulation and responsible development.

2️⃣ Job Displacement: AI automation may disrupt industries and displace jobs, requiring us to adapt and upskill. Balancing technological progress with the well-being of workers is crucial for a sustainable and inclusive future.

3️⃣ Lack of Human Judgment: AI operates based on data and algorithms, lacking the inherent human qualities of empathy, intuition, and moral judgment. Striking a balance between AI’s capabilities and human oversight is essential to avoid unintended consequences.

4️⃣ Security Risks: With AI’s increasing capabilities, there is a need to address potential security threats. Safeguarding against hacking, misuse of AI-powered systems, and the potential for autonomous weapons requires robust cybersecurity measures.

5️⃣ Unintended Bias: AI algorithms can inherit and perpetuate biases present in training data, leading to unfair outcomes. Proactive efforts to mitigate bias and ensure fairness and inclusivity in AI systems are vital for a just society.

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