Elon Musk Drives Twitter’s AI Project with GPUs and AI Expertise
Elon Musk is pushing forward an ambitious artificial intelligence project within Twitter, according to Business Insider. The project, which aims to develop a large language model (LLM) to rival OpenAI’s ChatGPT, involves acquiring around 10,000 GPUs and hiring AI specialists from DeepMind.
Early Stages and Potential Use Cases
Though the AI project is in its nascent stage, the significant investment in computational resources and expert personnel demonstrates Musk’s dedication to its advancement. The generative AI’s exact purpose is still unclear, but it could potentially improve search features or generate personalized advertising content.
Investments in Hardware and Skilled Talent
Despite facing financial hurdles, Twitter has reportedly invested tens of millions of dollars in GPU hardware for the project. The GPUs are expected to be installed in one of Twitter’s remaining data centers, likely located in Atlanta. Alongside this hardware investment, Twitter has brought on board AI engineers Igor Babuschkin and Manuel Kroiss from DeepMind, Alphabet’s subsidiary. This move aligns with Musk’s ongoing efforts to acquire AI talent to compete with OpenAI’s ChatGPT since February.
Hardware Spending and Competitive Landscape
While the specific hardware Twitter has purchased is not confirmed, speculation suggests that the company may utilize Nvidia’s Hopper H100 or comparable hardware for its AI project. Considering the substantial investment in hardware, Twitter’s AI venture has the potential to emerge as a formidable competitor in the generative AI domain.
