A Look into the Future: How Bing's AI Integration is Changing Search

It seems that Microsoft's Bing search engine and openAI in the form of chatGPT would be one in the future, how it will work seems that no one knows yet but some form of incorporation in the search engine will be.

The question is how that will affect our way of using the internet in the future.

Now there is communication in blogs, newsletters, and so on. Interaction between humans. 

But how will this change when we don't have to do so when the answers will be AI controlled and probably correct but not from a human?

What would we become?

I have also been seduced by chatGPT too, and the possibilities it gives me.

But also can I go to a search engine and search around for other views on a subject. 

I know, sometimes even those are made with an AI tool but not always.

Anyway, do I have a possibility to get another point of view, sometimes made by a human.

I still have, with some restrictions, free will.

If the search engine is an artificial tool, what possibilities do I have for another point of view?

Okay, I know search engines are already in a way controlled by algorithms, and the results on the first pages are controlled by those. But there are mostly people behind the results.

If all the answers are artificial, where does the communication go?

When I was a child before search engines, I remembered how long the discussions could become. There were sometimes wrong and hard arguing, with friends becoming enemies, but sometimes the opposite with a happy ending.

Occasionally you had to go to a library, a newspaper, or another source, a friend perhaps, to find facts for further discussion the next time there was a meeting.

That died with Google, you got almost an immediate answer, you just had to Google it, perhaps you had to find a computer first. The answer was there, easy to find.

Then when everyone got a smartphone, finding a computer wasn't a problem any longer, you could find the answer at once.

The discussion died.

Who could argue with Google?

Still, there were sources with sometimes discussable answers but the discussion often ended after Googling, but we could even choose the discussable sources if we wanted to.

How will it be now, when the answers would be collected from several sources and we don't have to make our own choice, AI does that for us.

Isn't that a strange future?

We don't know how the search engine will be when openAI is involved, so perhaps, or rather hopefully, they let us still have the opportunity to choose how we should use the search engine. With or without AI.

Most people have, from what I understand, used Google for their search until now.

How will the future be for Google, will they lose their audience?

I don't know so much about how search engines work, but I guess they use each other to find search results in one way or the other.

After some research, and googling, I found that search results from Google, Bing, and other search engines are not shared. 

The algorithms and indexing technologies used by each search engine are unique. They might employ some similar methods, but they also have their techniques for compiling and examining data regarding the web pages they index.

So Bing would perhaps steal all the audience from Google in the future, those who live will see.

This is hopefully only a dark vision of how the future could be, but some will be losers, that's for sure.

Those who make their living on making webpages?

Bloggers with special skills?

Companies with certain knowledge?

Only the future will tell us.

  

 

The future of the GPT technique

 The future of the GPT technique

Photo by Glenn Carstens-Peters on Unsplash

Modern natural language processing (NLP) techniques include OpenAI's GPT (Generative Pre-trained Transformer) approach. It is a kind of machine learning model that has been trained to produce text that resembles human speech and to carry out a variety of linguistic tasks. The transformer architecture, which was introduced in the paper "Attention is All You Need" by Vaswani et al. in 2017, is the foundation of the GPT approach.

The GPT technique commonly known as chatGPT, for example, is rapidly changing and is an ever-evolving technique.

Compared to earlier models, such as recurrent neural networks, the GPT model processes language more quickly and effectively thanks to its transformer architecture (RNNs). When processing lengthy text sequences, RNNs process language sequentially, which can be slow and ineffective. The transformer design, in contrast, processes language in parallel, enabling it to analyze vast volumes of text rapidly and accurately.

Several language tasks, such as translation, summarization, question-answering, and text production, have been tackled using the GPT technique. It delivers remarkable performance on several benchmarks and has the power to completely change NLP.

The GPT technique's capacity to produce text that is incredibly realistic and human-like is one of its primary strengths. Pre-training, which entails training the model on a sizable text dataset, such as books or online articles, is used to do this. The model is then adjusted for particular jobs, like writing code or finishing code snippets.

The GPT approach has been released in many iterations, including GPT, GPT-2, and GPT-3. The size and power of each succeeding generation have grown, with GPT-3 being the biggest and most potent to date. The GPT-4, the most recent version of the series, is anticipated to be released soon and is anticipated to be even more potent and capable than its predecessors.

The GPT (Generative Pre-trained Transformer) method has made major strides in the field of natural language processing and has the potential to completely change how computers comprehend and interact with language. Compared to earlier approaches, like recurrent neural networks, the transformer architecture, as we mentioned earlier, on which the GPT technique is based, enables more efficient and effective language processing. The GPT approach has been used for a variety of language tasks, such as translation, summarization, answering questions, and text production, and has produced outstanding results on many benchmarks.

The ability of the GPT technique to produce highly realistic and human-like text is one of its distinguishing characteristics. This ability is attained through pre-training on substantial datasets and fine-tuning for particular tasks. The GPT approach has undergone many modifications, each of which has seen an increase in size and functionality. The most recent version, GPT-4, is anticipated to be made available soon and is anticipated to be considerably more potent and capable than earlier versions.

Overall, the GPT method is a significant advancement in the field of natural language processing and has the potential to have a huge impact on a variety of fields and applications.

The tech community is buzzing over OpenAI's highly anticipated GPT-4 (Generative Pre-trained Transformer 4) language processing AI. The most recent version of the GPT series, GPT-4, is a massive machine learning model that has been trained to produce text that is similar to what a human would write and to carry out a variety of linguistic tasks, including translation, summarization, question answering, and text generation.

The size of the model is one of the main distinctions between GPT-4 and its predecessor, GPT-3. With 175 billion parameters as opposed to 175 million parameters in GPT-3, GPT-4 is much bigger than GPT-3. Due to the size expansion, GPT-4 is now able to process and produce text with even higher precision and fluidity.

The availability of the two models is another distinction between them. Although GPT-3 was made public through a paid API, it is not yet known if GPT-4 will do the same. GPT-4 may initially only be accessible to a few chosen research partners, according to some theories.

There has been no formal statement from OpenAI on a release date. However, the release of GPT-4 is anticipated to happen soon given its tremendous developments and potential impact.

GPT-4 is a significant advancement in the field of natural language processing overall. Its capacity to produce writing that is incredibly realistic and human-like has the potential to fundamentally alter how computers comprehend and use language. The application of GPT-4 and the effects it has on many businesses will be interesting to observe.