The new and improved Grok-1.5 is on its way to X’s Grok chatbot

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1. Elon Musk’s AI startup X.ai has released its latest generative AI model, Grok-1.5, which boasts improved reasoning for coding and math-related tasks.
2. Grok-1.5 can process contexts of up to 128,000 tokens, allowing for a better understanding of longer and more complex prompts.
3. The new model will soon be available to early testers on X social network, along with several new features, but it is unclear if it will bring any changes to the controversial and rebellious nature of its responses.

Elon Musk’s AI startup, X.ai, has introduced its new generative AI model, Grok-1.5, which will power the social network X’s Grok chatbot in the near future. Grok-1.5 shows improvement in reasoning, especially in coding and math-related tasks, surpassing its predecessor, Grok-1, in benchmark results and specifications.

Grok-1.5 can understand contexts of up to 128,000 tokens, allowing it to process longer and more complex prompts. This capability enables the model to utilize information from longer documents and maintain its instruction-following capability while expanding its context window.

X.ai’s Grok models have stood out for their willingness to respond to questions on controversial topics like conspiracies and political ideas, sometimes using rebellious language. It is unclear if Grok-1.5 will bring any changes in these aspects, as X.ai does not mention them in the blog post.

Grok-1.5 will be accessible to early testers on X, accompanied by new features such as thread summarization and content suggestions. This announcement follows X.ai’s previous open sourcing of Grok-1, although lacking the code for further training. Musk has also hinted at making the Grok chatbot available to more users on X’s Premium plan, expanding access beyond Premium+ customers.

Overall, Grok-1.5 shows promising advancements in AI reasoning and contextual understanding, which could enhance user interactions on the X platform. Its capabilities in handling longer and more complex prompts may lead to more efficient and accurate responses from the chatbot.

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