AI

Elon Musk says the new Grok version will give answers not sourced from the internet

Elon Musk claims Grok 3.5 can generate unique, reasoning-based answers without sourcing data from the internet, marking a major shift in AI response strategy.

Elon Musk says the new Grok version will give answers not sourced from the internet
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  • April 30, 2025
  • Updated: April 30, 2025 at 7:08 AM
Elon Musk says the new Grok version will give answers not sourced from the internet

Elon Musk has announced that xAI’s upcoming Grok 3.5 will introduce a major shift in how AI delivers information. While the update remains in beta and restricted to SuperGrok subscribers, it’s already stirring interest across the tech world. According to Musk, this model will generate responses built from reasoning, not just pulled from online sources—a move that could redefine how users experience artificial intelligence.

Grok 3.5 focuses on unique reasoning, not data scraping

Unlike traditional AI models that scrape data across the web, Grok 3.5 uses an internal reasoning engine to produce answers. This means the system can respond to highly technical questions—such as those related to electrochemistry or rocket engines—with a degree of originality not seen in most commercial models. It’s a notable departure from how platforms like ChatGPT or Gemini typically operate.

More computing power for more intelligent answers

This kind of AI reasoning comes at a cost. Grok 3.5’s processing requirements are significantly higher, prompting Musk to explore ambitious projects, including the potential construction of a supercomputer powered by a million GPUs. Meanwhile, rumors suggest xAI may be using illegal generators to sustain their current infrastructure—an allegation that remains unconfirmed.

A unique AI model in a competitive field

Grok’s reasoning-based responses are being compared to DeepSeek R1, another model focused on dynamic generation. The goal is to offer answers that are not only accurate but uniquely formulated, giving users a fresh perspective even on familiar topics. Whether this approach will scale effectively remains to be seen, but early access users may soon find out.

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