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GPT-4 is Here: Is It Really Changing the Game for Language AI? | by Dimitris Poulopoulos | Mar, 2023

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Opinion

Is GPT-4 the next big step in AI we were all waiting for?

Image generated by Stable Diffusion

Today, I woke up, and the hashtag #gpt-4 was trending on Twitter. Immediately, I thought that OpenAI released the next version of the most popular language model, and people were going mad about it. So, I started reading the top threads on this topic. To my disappointment, most of them were rumors about the release date, how big GPT-4 will be, and what it will be capable of, while the rest were memes from various Sci-Fi movies.

One of the most popular infographics displays GPT-3 as a dot next to a big black hole named GPT-4. The legend says that GPT-3 had about 175B parameters, while GPT-4 will have 100 trillion of them! How could that be possible? Another tweet reveals that GPT-4 will be a multi-modal LLM (Large Language Model), accepting audio, images, and video as input, not only text. Finally, several tweets direct dystopic scenarios from movies like the Terminator of Ex Machina.

Photo by Giannis Skarlatos on Unsplash

While I was scrolling this endless stream of tweets, the words of Sam Altman, CEO of OpenAI, were floating in my head:

“The GPT-4 rumor mill is a ridiculous thing… People are begging to be disappointed, and they will be.”

Today, March 14th, 2023, OpenAI released the next iteration of the model that powers ChatGPT. Are those people disappointed?

Learning Rate is a newsletter for those who are curious about the world of ML and MLOps. If you want to learn more about topics like this subscribe here. You’ll hear from me on the last Sunday of every month with updates and thoughts on the latest MLOps news and articles!

In an interview, Sam Altman, CEO of OpenAI, said that “the GPT-4 rumor mill is a ridiculous thing… People are begging to be disappointed, and they will be.” Were they? I think that those daydreaming Twitter accounts were. Is this a bad thing? Not at all!

Those expecting the end of the world as we know it will be disappointed to see that none of it is happening. And how could it? Research does not progress at the speed of light. You can have this kind of velocity only by accident. For example, look at how Fleming discovered Penicillin.

The other way to move forward is a rocky road and depends on establishing a systematic and meticulous process to iterate over past achievements, gaining a few yards with every iteration. That’s the methodology OpenAI has followed for many years, from the first version of GPT in 2018 to GPT-4.

In its press release, OpenAI says that you can’t really tell the difference between GPT-3.5 and GPT-4 when using them in a casual conversation. But when the complexity of the task increases, GPT-4 is more reliable. This means that, for most use cases, you won’t even notice the upgrade. And how could you? ChatGPT is already impressive, and even if it makes a ton of mistakes, you could easily assume that you are talking to a human being who is not a straight-A student.

So, is GPT-4 really changing the game for Language AI?

So, does GPT-4 really change the game for Language AI? Well, this is for the Microsoft marketing department to answer. GPT-4 contributes to the advancement of the area as its predecessor did, and that’s what matters. We just climbed a step higher.

In previous decades, high hopes and expectations led to two AI winters, where the interest in the field decreased along with funding. So, threads like the ones I read on Twitter this morning can only hinder the progress of the field, creating expectations that no one can fulfill.

However, AI is not some lucid dream, it’s not a research idea anymore, and it will not be forced into another period of disbelief. Disillusionment, yes, and that’s a good thing because this process will reveal its true powers to us.

AI-powered applications are all around us, predicting the next word we want to type or teaching us a new concept like a Socratic tutor would. So, be patient as we take it step-by-step until we reach the ultimate goal of AGI (Artificial General Intelligence).

The aim of this article is not to show you what GPT-4, the new LLM by OpenAI, can do. You can read the release note and skim through the impressive examples to know more about how the model works and what it can do.

My goal is to tell you that the quote “standing on the shoulders of giants” does bear meaning, and it’s the only way forward. Be patient, be glad about our achievements, and enjoy the ride. It’s all that matters!

Until next time, you can play with GPT-4 by getting a ChatGPT Plus subscription.

My name is Dimitris Poulopoulos, and I’m a machine learning engineer working for Arrikto. I have designed and implemented AI and software solutions for major clients such as the European Commission, Eurostat, IMF, the European Central Bank, OECD, and IKEA.

If you are interested in reading more posts about Machine Learning, Deep Learning, Data Science, and DataOps, follow me on Medium, LinkedIn, or @james2pl on Twitter.

Opinions expressed are solely my own and do not express the views or opinions of my employer.




Opinion

Is GPT-4 the next big step in AI we were all waiting for?

Image generated by Stable Diffusion

Today, I woke up, and the hashtag #gpt-4 was trending on Twitter. Immediately, I thought that OpenAI released the next version of the most popular language model, and people were going mad about it. So, I started reading the top threads on this topic. To my disappointment, most of them were rumors about the release date, how big GPT-4 will be, and what it will be capable of, while the rest were memes from various Sci-Fi movies.

One of the most popular infographics displays GPT-3 as a dot next to a big black hole named GPT-4. The legend says that GPT-3 had about 175B parameters, while GPT-4 will have 100 trillion of them! How could that be possible? Another tweet reveals that GPT-4 will be a multi-modal LLM (Large Language Model), accepting audio, images, and video as input, not only text. Finally, several tweets direct dystopic scenarios from movies like the Terminator of Ex Machina.

Photo by Giannis Skarlatos on Unsplash

While I was scrolling this endless stream of tweets, the words of Sam Altman, CEO of OpenAI, were floating in my head:

“The GPT-4 rumor mill is a ridiculous thing… People are begging to be disappointed, and they will be.”

Today, March 14th, 2023, OpenAI released the next iteration of the model that powers ChatGPT. Are those people disappointed?

Learning Rate is a newsletter for those who are curious about the world of ML and MLOps. If you want to learn more about topics like this subscribe here. You’ll hear from me on the last Sunday of every month with updates and thoughts on the latest MLOps news and articles!

In an interview, Sam Altman, CEO of OpenAI, said that “the GPT-4 rumor mill is a ridiculous thing… People are begging to be disappointed, and they will be.” Were they? I think that those daydreaming Twitter accounts were. Is this a bad thing? Not at all!

Those expecting the end of the world as we know it will be disappointed to see that none of it is happening. And how could it? Research does not progress at the speed of light. You can have this kind of velocity only by accident. For example, look at how Fleming discovered Penicillin.

The other way to move forward is a rocky road and depends on establishing a systematic and meticulous process to iterate over past achievements, gaining a few yards with every iteration. That’s the methodology OpenAI has followed for many years, from the first version of GPT in 2018 to GPT-4.

In its press release, OpenAI says that you can’t really tell the difference between GPT-3.5 and GPT-4 when using them in a casual conversation. But when the complexity of the task increases, GPT-4 is more reliable. This means that, for most use cases, you won’t even notice the upgrade. And how could you? ChatGPT is already impressive, and even if it makes a ton of mistakes, you could easily assume that you are talking to a human being who is not a straight-A student.

So, is GPT-4 really changing the game for Language AI?

So, does GPT-4 really change the game for Language AI? Well, this is for the Microsoft marketing department to answer. GPT-4 contributes to the advancement of the area as its predecessor did, and that’s what matters. We just climbed a step higher.

In previous decades, high hopes and expectations led to two AI winters, where the interest in the field decreased along with funding. So, threads like the ones I read on Twitter this morning can only hinder the progress of the field, creating expectations that no one can fulfill.

However, AI is not some lucid dream, it’s not a research idea anymore, and it will not be forced into another period of disbelief. Disillusionment, yes, and that’s a good thing because this process will reveal its true powers to us.

AI-powered applications are all around us, predicting the next word we want to type or teaching us a new concept like a Socratic tutor would. So, be patient as we take it step-by-step until we reach the ultimate goal of AGI (Artificial General Intelligence).

The aim of this article is not to show you what GPT-4, the new LLM by OpenAI, can do. You can read the release note and skim through the impressive examples to know more about how the model works and what it can do.

My goal is to tell you that the quote “standing on the shoulders of giants” does bear meaning, and it’s the only way forward. Be patient, be glad about our achievements, and enjoy the ride. It’s all that matters!

Until next time, you can play with GPT-4 by getting a ChatGPT Plus subscription.

My name is Dimitris Poulopoulos, and I’m a machine learning engineer working for Arrikto. I have designed and implemented AI and software solutions for major clients such as the European Commission, Eurostat, IMF, the European Central Bank, OECD, and IKEA.

If you are interested in reading more posts about Machine Learning, Deep Learning, Data Science, and DataOps, follow me on Medium, LinkedIn, or @james2pl on Twitter.

Opinions expressed are solely my own and do not express the views or opinions of my employer.

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