OpenAI is a research company focused on promoting and developing "down-to-earth" artificial intelligence. Last year's ChatGPT and DALLE-2 pushed AI artificial intelligence into the mainstream, and now the company is trying to expand their partners so that the development of artificial intelligence can make breakthroughs again.

But where does it all begin?

What is the impact of AI artificial intelligence on us?

In today's article, we will take you to open your horizons and review history to see the history of OpenAI and its future development direction.

What is OpenAI?

OpenAI was founded in San Francisco in 2015 as a project co-founded by Elon Musk, Sam Altman, Greg Brockman, Wojciech Zaremba, Ilya Sutskever and John Schulman. The mission is very simple, but extremely ambitious - to develop safe and open AI tools that empower people (not eliminate them).

“OpenAI’s mission is to ensure that artificial general intelligence (AGI) – by which we mean highly autonomous systems that outperform humans in most economically valuable tasks – benefits all of humanity.”

Since its founding, OpenAI has launched an impressive array of tools, including DALL·E, an AI image generator, and CodexAI, which powers GitHub's programming suggestion tool CoPilot.

But these are just appetizers...

Last year, OpenAI became the hottest name in tech, thanks to the release of ChatGPT, a powerful and creepy AI chatbot based on the company's flagship GPT-3 language model. Contrary to skeptics' predictions, it proved itself to be more than just an analogy-like language generator.

Let’s go back in history and see the origins of ChatGPT.

The History of OpenAI: The Origins of Artificial Intelligence

So, what is artificial intelligence?

Simply put, add a little magic, a sprinkle of pixie dust, and a caffeine-fuelled dose of nutrition from scientists and engineers alike, and there you have it.

Well, the answer is a little more complicated than that….

Over the course of human history, we have tried to animate objects and give them human qualities. But the first person to really push this forward wasAlan Turing(English:Alan Mathison Turing).

Turing's research in the early 1950s laid the foundation for modern computer science. At the time, artificial intelligence was still the stuff of fiction, but it was enough to attract more smart people to the field, including John McCarthy, who coined the term "artificial intelligence" in 1956.

Two years later, McCarthy and his colleaguesMIT(Massachusetts Institute of Technology)An artificial intelligence project was established. The future of artificial intelligence research is starting to look promising, but just a little too optimistic.

After initial interest, the AI bubble burst and funding dried up, largely due to disappointing results and limited computing power. Some refer to this period as the first "artificial intelligence winter”.

In the 1990s, advances in machine learning and natural language processing brought renewed attention to artificial intelligence. Some publicity stunts have helped artificial intelligence maintain attention.

In 1997, IBM's computer "Deep Blue" defeated the world chess champion in a six-game match.Garry Kimovich Kasparov. This is the artificial intelligence's second Jeopardy win after Oracle defeated Ken Jennings a year ago.

After losing to the computer, Garry Kimovich Kasparov participated in a TED talk. In addition to sharing his original experience, he also called on everyone to "Don’t be afraid of the development of AI, but work with AI. "

The early 2000s brought some interesting developments, such as the explosion of big data, more sophisticated algorithms, and ever-increasing computing power. The door to advanced AI systems is wide open.

OpenAI joins the fray (2015-2017)

Sixty-five years after the publication of Turing's groundbreaking paper, the rapid expansion of artificial intelligence systems has some people concerned and some worried about its direction.

In 2015, former Y Combinator CEO Sam Altman and business tycoon Elon Musk launched an initiative to develop safe and open artificial intelligence. This was the beginning of OpenAI's history.

Before establishing OpenAI, Altman and Musk expressed high concerns about the risks and opportunities of AI technology. They believed that AI technology was "The greatest threat to humanity”.

After OpenAI was founded, it initially focused on developing artificial intelligence for use in video games and other fields. In 2016, it released its first tools, OpenAI Gym, an open source toolbox for reinforcement learning (RI) and a test platform called Universe for training AI agents.

OpenAI’s transformation and growth (2017-2019)

Over the next two years, OpenAI focused on more general artificial intelligence research and development.

In 2018, the company released a paper titled "Improving Language Understanding through Generative Pre-training", which introduced the concept of the Generative Pre-training Transformer (GPT).

Simply put, GPT is a neural network – a machine learning model inspired by the structure and function of the human brain – trained on a massive dataset of human-generated text. It can perform many functions such as generating and answering questions.

In short, the OpenAI team practices the belief that what they say must be done and developed GPT-1, their first language model, which was "trained" based on BookCorpus containing more than 7,000 unpublished books.

This model eventually evolved intoGPT-2, is a more powerful version with training samples from 8 million web pages and containing 1.5 billion parameters (these training values make text prediction possible).

But OpenAI initially decided not to release GPT-2 to the public.

What is the reason?

According to a blog announcement from OpenAI, the OpenAI team is worried that GPT-2 will be used to write scam emails or generate fake news.

OpenAI's transformation coincides with Elon Musk's departure from the OpenAI board of directors in 2018. Musk expressed concerns about the way OpenAI operates, believing that the company does not pay enough attention to the risks that artificial intelligence may bring, but focuses too much on commercial applications.

In 2019, OpenAI made another controversial decision to transform into a "capped profit" organization and established OpenAI LP, which is a "hybrid of for-profit and non-profit."

OpenAI officially launched: DALL·E, GPT-3 and ChatGPT (2021–present)

In 2021, OpenAI launched DALL-E, an artificial intelligence system using a similar architecture to GPT-2. Instead of generating text, DALL-E can create realistic images that look like they were created from the air. Its name is a portmanteau of WALL-E and Spanish surrealist artist Salvador Dali.

In 2022, OpenAI once again led the development of technology and launched GPT-3. As an upgraded version of the first two models, GPT-3 inputs 45TB of text data, converted into 175 billion parameters, and is smarter, faster, and more terrifying than any model we have seen before.

To achieve this goal, Microsoft designed a supercomputer for OpenAI that includes 285,000 CPU cores and 10,000 GPUs. It is also ranked 5th in the Top500 supercomputers ranking.

The success of GPT-3 gave birth to another monster masquerading as a monster.

In November 2022, OpenAI launched ChatGPT, a language model chatbot built on GPT-3.

One of the most amazing aspects of ChatGPT is its ability to understand context - the chatbot can generate answers and adapt based on conversation history. This means you can "train ChatGPT" on conversation threads to get more accurate answers.

For many, interacting with ChatGPT or DALL-E 2 (the successor to DALL-E, released the same month) was the first experience with artificial intelligence.conscious” And a surreal touch. It wasn’t love at first sight at first. But this incident clearly shows that the future is artificial intelligence, and it has officially arrived.

OpenAI is strengthening: GPT-4 appears

The development of artificial intelligence is like watching a child learn to walk, which is both endearing and worrying. Especially since GPT-4 has arrived just four months after its predecessor.

According to OpenAI, the probability of accurate answers for GPT-4 has increased by 40%, but this requires further testing. In addition, its output content also reduces the chance of 82% violating OpenAI content policy.

The new model can "understand" visual input, that is, it can load images on top of text commands. Additionally, it removes an important limitation of ChatGPT, increasing the number of tokens to 8,192, equivalent to approximately 25,000 words.

OpenAI claims that GPT-4 is smarter and more creative than its predecessor, though exactly what that means in the context of artificial intelligence remains to be seen. This is due to improvements in its underlying architecture, richer training data (including human trainers), and more sophisticated algorithms.

Currently, GPT-4 is available to ChatGPT Plus subscribers or as a standalone API, and already provides support for multiple applications such as Duolingo and Stripe (including the self-promoting Taskade).

Whether we like it or not, the genie of artificial intelligence is already here and will disrupt many industries in the coming years. We can only hope that OpenAI's original goals remain.

Microsoft Bing + ChatGPT

The massive funding from Redmond strengthens the ties between OpenAI and Microsoft, and that partnership is only now starting to come to fruition. In February 2023, Microsoft announced that ChatGPT would be integrated into its two flagship products, Microsoft Edge and the Bing search engine.

Today, we launched the new AI-powered Bing search engine and Edge browser, now available on Bing.com Use Preview on to provide better searches, more complete answers, a new chat experience and the ability to generate content. We think of these tools as the artificial intelligence co-pilots of the web — Yusuf Mehdi, Corporate Vice President and Consumer Chief Marketing Officer.

So, what is unique about OpenAI?

OpenAI is in a unique position in the industry right now because it has a viable set of products, the best talent, and good publicity from products like ChatGPT and DALL-E 2, which it launched last year.

And when you have something to show, it's easier to get more conversations and share ideas.

In 2022, Greylock Partners – Reid Hoffman, the founder of LinkedIn, is one of the partners of Greylock –. Collaborate with other companies, such as OpenAI and AdeptAI Labs, to develop AI tools that will "empower humans" rather than replace our jobs.

By engaging partners in different industries, OpenAI can expand into new areas such as healthcare, transportation and finance. Additionally, there's an irresistible opportunity to gain access to vast amounts of real customer data to train its AI models.

At least for now, it appears to be a win-win situation for everyone.

OpenAI admits product shortcomings

Shortly after DALL-E 2 launched, some artists noticed that the tool produced images that were similar to their own artwork. This didn't help OpenAI's data collection practices, as the images contained traces of obscure signatures, causing legitimate dissatisfaction.

Of course, there are other risks associated with the unrestricted use of tools like ChatGPT.

Some teachers and academics worry that AI tools could harm student performance and credibility. Some people have caught their students cheating on exams using ChatGPT.

Of course, the responsibility for the safe and ethical use of AI systems lies with both their creators and their end users. But at this time, this is still uncharted territory.

OpenAI restructures its organization for profit: You can’t do it without money!

Developing artificial intelligence systems is extremely expensive, and as just mentioned, DALL-E 2 and ChatGPT still have questionable risks. Significant funding is required to optimize the product's shortcomings, so OpenAI must strike a balance between financial stability and mission. That's a big dilemma when you're in a competition.

OpenAI, which was originally founded as a non-profit artificial intelligence research company, announced in 2019 that it would be reorganized into a "for-profit company" to attract more investment. The move set off a wave of criticism that left many AI researchers defiant.

The road to AI development that you can’t do without money

In order to develop the huge computing power required for artificial intelligence systems, huge financial support is required, and a lack of funds will make it more difficult to achieve the goals of artificial intelligence. OpenAI reviewed its past organizational structure and found that they had difficulty balancing raising funds and achieving their mission. To increase their ability to raise funds, they decided to form a complex with both for-profit and non-profit components.

OpenAI admits that operating as a nonprofit makes it difficult for them to obtain financing. Even though non-profit organizations can earn income through some subsidiary projects or sub-businesses, for investors, investing in non-profit organizations is not a good way to maximize profits.

The potential of OpenAI

How ChatGPT and other tools developed by OpenAI will change the world is a difficult question to predict. But what is certain is that it will disrupt many industries in the next few years.

The emergence of powerful neural networks represents a significant opportunity to help solve complex problems that are difficult for humans to solve alone.

AI systems are already being used to evaluate X-rays and CT (computed tomography) scans, analyze medical records, monitor public transportation, and even optimize crop yields.

Tools like ChatGPT can transfer these benefits to other areas such as education, marketing, financial services, and customer service. Of course, these changes also bring corresponding risks.

Whether we like it or not, the future of AI will be in the hands of companies like OpenAI, who will play a key role in shaping the landscape and defining "safe" and "beneficial" uses.