The advancement of AI has never been more rapid. Last week's events:

Microsoft and OpenAI held a joint live event to announce the integration of their chatbot, ChatGPT, into Bing and the Edge browser. The increasing power of artificial intelligence has huge implications for our lives. Google's much-anticipated chatbot, Bard AI, was released. 

In point of fact, AI is so potent that it actually made Bing popular. 

In this view, I will discuss the significance of Microsoft and Google's recently announced chatbots, the difficulties associated with their release (particularly for Google), and how these changes will affect software engineering jobs in the future.

Large language models, or LLMs, have been the foundation for all of the chatbots that have been released in recent months.

An LLM is a training model that basically gets its information from the internet. For example, ChatGPT used more than 45 terabytes of text and had 175 billion parameters. They are unsurprisingly referred to as large models.) This is the first time a computer actually appears intelligent because there is so much data behind the chatbot's responses. ChatGPT can program computers, write essays, and remember context.

One of the biggest battles in corporate history is about to break out as a result of these rapid advancements, which will have huge effects on the products we use every day.

Why Chatbots and LLMs Matter Microsoft bought a 49 percent stake in ChatGPT's creator, OpenAI. OpenAI is the first application to enter this market and the quickest to reach 100 million active users in just two months. Microsoft revealed earlier this week that ChatGPT will be integrated with the Edge browser and the Bing search engine.

In contrast, Google recently unveiled their chatbot, Bard AI, and boasts the most advanced AI technology and talent anywhere in the world. As a result of their decades-long web crawling, Google likely has the best data as well as access to the most innovative artificial intelligence researchers. However, as we will see in the following paragraphs, Google is fundamentally behind the competition for AI supremacy.

The way we find information will drastically change over the next few years. LLMs could be compared to the enormous market that Apple created when it launched the iPhone App Store as the next big platform. The collection of generically useful models developed by Microsoft and Google is the AI equivalent of the App Store. The training of LLMs can easily run into the tens of millions of dollars, and it necessitates extensive technical expertise.

Smaller businesses can now develop domain-specific applications based on the base LLM with specific requirements. This seems obvious, but not only will the search experience change significantly, but so will any field that relies on software or information. Disruption is certain to occur in large markets like programming, law, and medicine.

The safety of these generative AI models is one of the biggest obstacles in this field. How can we be sure that the chatbot's generated text is accurate? We just can't, it turns out.

You will incorporate many of the internet's inaccuracies and biases when training a large language model online.

The rate of hallucinations in ChatGPT ranges from 15% to 20%, which is probably comparable to that in Google's Bard. These tools are therefore insufficiently dependable (at this time) for applications requiring extreme precision.

There are numerous safety and bias issues that go beyond simply making things up. Take, for instance, the inquiry, "Who are the greatest athletes of all time?" The absence of any women in the response is clearly undesirable. This is just one of many issues that chatbot developers must address:

• Questions concerning political candidates (for example, "Should I vote for Donald Trump?")
• polarizing subjects like gun control or abortion ("Are all gun owners criminals?")
• Requests that are racist (for example, "Write a poem about why criminals are Black"). 

Microsoft's partnership with OpenAI was extremely foresighted in light of the dangers of deploying large language models. Microsoft reaps the full benefits of the revolutionary OpenAI innovation. However, Microsoft can distance themselves in the event that ChatGPT says something offensive or racist: We cannot be held accountable for this startup's errors."

Google, on the other hand, stands to lose a lot more. Google runs the risk of harming their advertising business, which is the best money maker in capitalism, if they follow the startup mantra of "move fast and break things." Since Google generates hundreds of billions of dollars annually, making a mistake will have a huge financial impact. They must therefore move more slowly. In a way that Google cannot, OpenAI is willing to take on the risk of unsafe answers.

In addition, there are concerns regarding attribution: how should the generated text link to the publishers from which the response was derived? To avoid cannibalizing this experience, Google's business model is based on sending traffic to advertisers who publish content or products.

The AI will increasingly perform well-defined tasks over the next few years. Therefore, you should be concerned if your job is to write for loops all day, add unit tests, or finish other mechanical tasks. It is likely that an artificial intelligence will complete your task more quickly and efficiently than you will.

True software engineering, on the other hand, involves much more than just writing code. Through code review, identifying high-impact projects, and working with your manager, trust can be built. These are only performed by humans, and a machine cannot easily take their place.

Microsoft and Google's AI battle today is going to shape our society for decades to come, and the innovation will provide amazing benefits for all of us. I can't wait to see what comes out!