What people get wrong about the new AI – Innovation Evangelism

By neub9
2 Min Read

During a recent dinner conversation, my daughter was grappling with a challenging probability question from her math test. My wife suggested using ChatGPT for help.

This common scenario reflects our assumption that computers excel at math and logic. However, large language models, like ChatGPT, are surprisingly inadequate in these areas but demonstrate exceptional creativity and brainstorming abilities.

The latest wave of artificial intelligence requires a shift in our understanding. These models thrive on coaxing and threats rather than explicit orders. Studies have shown that being polite or promising a tip to these models often yields better results. They are also known to be sluggish at times, seemingly influenced by factors such as the time of year.

Thankfully, the next wave of AI research aims to develop models that are proficient in step-by-step reasoning and solving complex mathematical problems. This progression brings us closer to achieving artificial general intelligence (AGI).

While the ongoing debate questions the true intelligence of computers, there is no denying their continuous advancement. Treating them as flawed, yet intelligent collaborators is essential for maximizing their potential.

As we navigate this pivotal moment in AI development, it’s evident that computers are becoming increasingly intelligent. Embracing this reality positions us to take full advantage of their capabilities as they continue to evolve.

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