AI Technology

The Alarming Reality of AI by Elon Musk

Elon Musk finds this amusing, but I find it genuinely terrifying. Everyone should be concerned that the world’s richest man has developed a Large Language Model capable of generating propaganda reflecting his views. This isn’t free speech; it’s a massive manipulation of information from one of the most powerful unelected individuals globally. If the automation of Orwell’s Ministry of Truth, potentially serving political agendas, doesn’t alarm you, you might not be paying close enough attention to the implications of Ai By Elon Musk.

The issue extends beyond blatant propaganda to more subtle influences that users might not even detect. When I addressed the United States Senate in May 2023, I highlighted preliminary findings from Mor Naaman’s lab at Cornell Tech, which indicated that Large Language Models (LLMs) can subtly shape people’s attitudes and beliefs. A subsequent study in 2024 replicated and expanded upon this, providing robust evidence that biased AI autocomplete suggestions can indeed alter people’s attitudes. Crucially, the report noted that users, even those whose attitudes were shifted, were largely unaware of the suggestions’ bias and influence. The effect persisted even when users were warned about the potential bias. In essence, LLMs possess the power to influence attitudes, often without user awareness, and warnings may not mitigate this effect. Grok 3, according to this perspective, is seemingly designed as a potent propaganda tool, and Musk appears proud of this capability. For more insights into Musk’s AI ventures, explore elon musk ai.

Meanwhile, concerning Musk and Grok, the upcoming version, Grok 2, or at least its image generation capabilities, seems remarkably flawed. Over the past few days, testing version 2’s ability to identify and label parts of images yielded consistently poor results.

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Grok 2 struggles to label fingers in a drawingGrok 2 struggles to label fingers in a drawing

Grok 2 misidentifies toes in a foot drawingGrok 2 misidentifies toes in a foot drawing

Grok 2 provides incorrect labels for parts of an eye drawingGrok 2 provides incorrect labels for parts of an eye drawing

It’s not limited to drawings. A recent Edinburgh study corroborated concerns about LLMs’ struggles with temporal reasoning, a challenge that has been discussed for nearly a decade. The study concluded that despite advancements, reliably understanding time remains a significant hurdle for Multimodal LLMs. The push to deploy new elon musk new ai models quickly is happening despite these evident technical limitations.

Yet, Musk appears keen to rapidly integrate problematic AI, both biased and unreliable, into public life, as reported by The New York Times and noted in online commentary.

Online comment discussing Elon Musk's push for AI in educationOnline comment discussing Elon Musk's push for AI in education

About a year ago, the City of New York attempted a similar rapid deployment with less than spectacular results from its chatbot.

While the New York chatbot is still operational, it now includes a warning acknowledging its limitations.

Warning message displayed on the NYC Chatbot websiteWarning message displayed on the NYC Chatbot website

Soon, such unreliable systems, equipped with easily ignored disclaimers, could become ubiquitous. The consequences will be borne by the public, while figures like Musk, who stand to gain significantly from government contracts involving their technology, profit and potentially displace countless government employees. This rapid and seemingly unchecked deployment of flawed AI, particularly the ai by elon musk projects, raises serious concerns about the direction society is heading. While discussing alternatives in the AI space, understanding systems like open ai chat alternatives might offer a broader perspective on the AI landscape.

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In conclusion, the development and proposed rapid deployment of Ai By Elon Musk, specifically Grok, present a worrying duality: the potential for subtle, widespread propaganda and demonstrably significant technical flaws. The historical examples and research cited underscore the dangers of introducing biased and unreliable AI systems into critical public functions without adequate caution and oversight. This path, prioritizing speed and potential profit over robustness and societal impact, is not one a nation should readily embrace.

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