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GPT-4 vs GPT-3.5 vs Google Bard: What are their IQs? | AI Language Model Comparison

By Data Within Reach     Updated Feb 29, 2024

The buzz is all about the brainpower of the latest AI language models: GPT-4, GPT-3.5, and Google Bard. How do they stack up? Let's dive into a side-by-side comparison and see which model has the edge.

1. Meet the Contenders: GPT-4, GPT-3.5, and Google Bard

Recently, the AI world got a shake-up with the introduction of GPT-4, now accessible for free through Bing. This begs the question - is it worth paying for when you can use it at no cost? To address this, we've tested workflows across both GPT-4 and its predecessor, GPT-3.5.

Moreover, we've spiced things up by throwing Google Bard into the fray for a three-way showdown. These AI models are changing the game, driving a deeper conversation about the essence of 'intelligence' and the use cases these models power.

While packing an extra '20 IQ points', GPT-4 promises a more refined assistant that can supercharge your productivity. Does it live up to the hype? Let's peel back the layers on how these models are evaluated and applied in the digital realm.

2. Is Measuring AI IQ a Science or a Metaphor?

Attempting to pin an IQ on a large language model could seem as fruitless as nailing jelly to a wall. After all, AI doesn't 'think' like humans do. The working memory that's part of human IQ tests? AI models don't have it.

Despite the inherent differences, comparing the models' performances on standardized tests like the SAT offers a makeshift yardstick. For instance, GPT-3.5's SAT score equates to an estimated 120 IQ — not earth-shattering, but impressive for a bundle of algorithms.

This metaphorical use of IQ provides us with a common language to quantify improvements and set expectations. It underscores the leap from GPT-3.5 to GPT-4, with the latter achieving SAT scores that would convert to a 142 IQ, opening up avenues for more complex and nuanced tasks.

3. Comparing AI Assistants: From Brainstorming to Execution

AI is not just for the tech-savvy - it's weaving itself into the creative process too. From spitballing video ideas to finessing scripts and choosing SEO-friendly keywords, GPT-3.5 and Google Bard have been the muses for many content creators. Yet, GPT-4 outshines them with its more nuanced assistance.

Imagine an elevated work process where GPT-4 doesn't just polish a script but adds creative directions and keeps the narrative flowing effortlessly. This isn't just a matter of adding a few IQ points; it's about a tool that enriches the creative process while keeping the creator's voice intact.

For instance, GPT-4, with its purported extra 'brainpower', transforms from a mere suggestion box to a creative partner, envisioning the audio-visual elements of a video, which is a game-changer for content creators and could justify the $20 monthly investment.

4. More Than a Number: AI's Real-World Impact on Productivity

It's one thing to talk IQ points; it's another to see tangible benefits in the workplace. Studies suggest that even the less advanced ChatGPT can boost productivity by 14% in customer service. Yet, its true potential may lie untapped in domains like programming.

Users say AI assistants like ChatGPT don't just speed things up; they also make jobs more enjoyable. It seems there's more to these AI innovations than meeting the eye—they're not only efficient but could also be a key to better job satisfaction.

While the debate about AI replacing jobs rumbles on, the current climate showcases AI as a powerful ally to humankind, enhancing productivity and, by extension, potentially firing up economies. It's all about harnessing AI smartly, and as the AI wizards get smarter, so do our possibilities.

Summary:

In a recent comparison, GPT-4, GPT-3.5, and Google Bard showcased varied capabilities akin to different IQ levels. GPT-4 emerged as the leader with an estimated IQ of 142, while GPT-3.5 was on its heels at 120, and Google Bard notched a respectable 124. Here, we delve into the nuances of each model and what these 'IQ' levels mean for users, alongside the impact they could have on productivity and job satisfaction.