Indeed, Musk suggested that synthetic data — data generated by AI models themselves — is the path forward. “The only way to supplement [real-world data] is with synthetic data, where the AI creates [training data],” he said. “With synthetic data … [AI] will sort of grade itself and go through this process of self-learning.”

In November 2024, Manoj Bhoyar was also honoured with the prestigious Global Recognition Award for his remarkable contributions to financial technology. To explore the journey behind his groundbreaking achievements, we spoke with Manoj about his career, innovations, and the future of financial technology.

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In the case of Microsoft and AI, that's not something being considered, as the software giant plans on spending $80 billion dollars on machine learning technology this year. Microsoft casually dropped the monstrously huge sum of money in a long-winded blog by Brad Smith,

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“We’ve now exhausted basically the cumulative sum of human knowledge …. in AI training,” Musk said during a live-streamed conversation with Stagwell chairman Mark Penn streamed on X late Wednesday. “That happened basically last year.”