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Compares the performance of Microsoft Copilot against other artificial intelligence Large Language Models (LLMs) in a direct intelligence quotient (IQ) competition ⚡️

Large language model Microsoft Copilot lags behind 25 out of 26 top competitors in intelligence evaluation, based on queries not typically found elsewhere online, thus suggesting subpar performance compared to its peers.

Compare the performance of Microsoft Copilot against other AI Language Model Largescale Models in a...
Compare the performance of Microsoft Copilot against other AI Language Model Largescale Models in a direct Intelligence Quotient evaluation 🧠

Compares the performance of Microsoft Copilot against other artificial intelligence Large Language Models (LLMs) in a direct intelligence quotient (IQ) competition ⚡️

In the rapidly growing field of Artificial Intelligence (AI), big tech companies are investing heavily to stay ahead of the curve. One such company is Microsoft 365, which has made significant strides in AI, albeit not always in the limelight.

Microsoft 365's foray into AI includes projects like Microsoft Copilot, a response to AI assistant apps like ChatGPT. Based on GPT-4o, Copilot prioritizes versatility, speed, and cost-effectiveness over reasoning. However, its performance varies in different tests.

In the IQ-oriented challenges conducted by a website called TrackingAI, Microsoft Copilot scored 84. This places it below Elon Musk's Grok-4, which scored 136, and OpenAI o3 Pro, which scored 135. Interestingly, Phi models, another offering from Microsoft 365, aren't listed on TrackingAI.

Offline tests run by TrackingAI tell a different story. In these tests, Microsoft Copilot scored 67, while OpenAI o3 Pro scored 117. This gap in performance raises questions about Microsoft 365's AI capabilities, especially when compared to its competitors.

Microsoft 365 itself reported a significant surge in carbon emissions due to AI power use. This is a concern that the company is yet to address publicly, adding to the criticism it faces for its lack of a clear plan for AI. Apple, too, is facing similar concerns.

Microsoft 365 is, however, focusing on powering AI services for other companies. It is investing in new AI-focused data centers and has been reported to be in the process of building partnerships with various tech giants. This strategy might explain Microsoft 365's contentment with being in the background, powering the future with Azure instead of being in the limelight.

The AI arena is buzzing with excitement, with players like Google's Gemini, X's Grok, and OpenAI's ChatGPT frequently surpassing each other in certain parameters. There's a lot of hype, but it's clear that the race for AI dominance is far from over.

In the midst of this competition, Microsoft Copilot has its deep research modes that boost its accuracy if a subscription is made. The Phi models, prioritizing performance as Small Language Models, potentially designed to run on-device and with minimal costs, add another dimension to Microsoft 365's AI strategy.

Despite the flop of Copilot+ PCs and the privacy backlash of Windows Recall, Microsoft 365 remains a significant player in the AI landscape. Whether it can close the gap with its competitors and regain its position in the conversation for AI advancements remains to be seen. The search results do not provide information about which company performed worst in the TrackingAI test with the Microsoft AI assistant Copilot.

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