You’ll see from the ChatGPT Statistics that OpenAI’s popular chatbot is merely the start of something greater. The November 2022 debut of ChatGPT has broken unexpected records. It became the fastest-growing consumer app in history in January, with 100 million active users two months after its inception.
This chatbot has changed AI by employing deep learning to generate human-like prose and answer many queries accurately. Responses range from code production to meme creation. ChatGPT is mostly used for customer service, but it can also aid with IT.
Why is ChatGPT disruptive? This article presents some of the most important ChatGPT Statistics and facts to show how far AI has come. Continue reading!
What is ChatGPT?
ChatGPT, an OpenAI chatbot based on the open-source GPT-3 NLP model, is innovative.
The chatbot grasps user intent and responds accordingly. Users can talk to it like a real person because it’s conversational.
50 ChatGPT statistics and facts you need to know
We wondered about ChatGPT’s figures as its popularity grew. Here’s what we discovered after digging.
ChatGPT history
- 1. OpenAI developed GPT in 2018.
- 2. GPT-1 and GPT-2 inspired GPT-3.
- 3. BooksCorpus dataset (5GB) was used to train GPT-1 for language understanding.
- 4. GPT-2 was introduced on Valentine’s Day 2019 with the motto “too dangerous to release.” It was trained on 40GB of Reddit articles with over 3 likes. Training cost $43,000.
- 5. Later, MuseNet and JukeBox generated music with GPT-2.
- 6. GPT-3, trained on a larger dataset, was released in June 2020.
- 7. Some GPT-3-based applications are:
ChatGPT general facts
- 8. OpenAI’s GPT-4 is the largest language model. March 14, 2023 saw ChatGPT-4 released.
- 9. It handles 175 billion parameters and 10 million requests daily.
- 10. It was trained on 570GB of text data from web sites, books, and other sources.
- 11. GPT-3 is optimized for translation, summarization, and question-answering.
- 12. It writes poems, stories, and code like humans.
- 13. ChatGPT is ideal for real-time talks due to its reaction time of less than a second.
- 14. ChatGPT is used in websites, messaging apps, virtual assistants, and AI applications.
- 15. GPT-3 is considered a big AI advancement by some scientists.
- 16. GPT-3’s context understanding and relevant responses are lauded.
- 17. It performs better than earlier language models and people on several tasks.
- 18. GPT-3 has also been attacked for its common sense ignorance and biassed or misleading responses.
- 19. OpenAI offers an API for GPT-3, letting developers build AI apps.
ChatGPT performance
- 20. ChatGPT generates text well. The model generates coherent, fluent writing on many themes, making it popular for chatbots, language translation, and content generation.
- 21. The DALL-E 2.0 test showed that ChatGPT created high-quality graphics from textual descriptions, making it hard to discern from human-written text.
- 22. Training data also affects ChatGPT’s performance. Training a language model on more data gives it more information to deliver accurate and relevant responses.
- 23. OpenAI reports that fine-tuning the model on certain domains or tasks enhances its performance, showing flexibility and adaptability.
ChatGPT limitations
- 24. Its computational needs are difficult. The model is computationally intensive, making it difficult to use in real-world applications.
- 25. ChatGPT makes mistakes and can give biased or wrong responses, especially when the model is not fine-tuned on specific domains or tasks, despite its enormous size and high accuracy.
- 26. ChatGPT loses internet and connection access.
- 27. ChatGPT only knows its 2021 training data.
ChatGPT statistics: research warns of risk of malicious use
- 28. BlackBerry found that 51% of IT decision-makers think ChatGPT will launch a cyberattack this year.
- 59. 71% believe nation-state actors are utilizing the technology for “malicious” purposes.
- 30. 53% of respondents felt ChatGPT will help hackers create more convincing phishing emails.
- 31. 49% said it helped hackers code better.
- 32. The survey found that 49% think ChatGPT will propagate misinformation and deceit.
- 33. 48% believe it could create new malware strains.
- 34. 46% said ChatGPT may improve attacks.
- 35. The same study found that 95% think governments should regulate innovative technologies like ChatGPT.
ChatGPT statistics: costs
- 36. ChatGPT is free while the firm collects feedback.
- 37. Developers can integrate this tool into other software for a penny every 20,000 words and 2 cents per image.
- 38. One GPT-3 training run cost OpenAI $12 million.
- 39. Maryland University AI ML Professor Tom Goldstein estimates ChatGPT costs $100,000 per day and $3 million per month. His estimations use Azure Cloud expenses (ChatGPT’s server infrastructure).
- 40. OpenAI just introduced a $20 test subscription. It is invite-only, guarantees access during peak hours, and offers faster responses and priority access to new features and enhancements.
OpenAI background and investments
- 41. Carlos Virella, Elon Musk, Greg Brockman, Ilya Sutskever, James Greene, Sam Altman, and Wojciech Zaremba formed OpenAI in San Francisco in 2015.
- 42. The startup has attracted prominent investors.
- 43. OpenAI is worth $29 billion after ChatGPT.
- 44. Recent Microsoft investment: $10 billion. Bill Gates’ business made its third investment. It invested $1 billion in OpenAI in 2019 and 2021.
- 45. As of January 2023, OpenAI is one of the most funded machine-learning startups in the world, with over 1 billion U.S. dollars.
- 46. OpenAI told investors it will make $200 million this year and $1 billion by 2024.
- 47. Technology and education companies are most likely to use OpenAI solutions. Meanwhile, commercial services, manufacturing, and finance are all big users of AI.
ChatGPT statistics: users
- 48. ChatGPT got 1 million users in a week.
- 49. The chatbot had 57 million monthly active users in its first month.
- 50. January saw 100 million active users.
Key takeaways
ChatGPT has spread worldwide for many reasons:
- Its 175 billion parameters make it the most popular language model.
- It excels in NLP tasks and applications.
- Its enormous quantity and diversified training data allow it to generate high-quality text and accurately answer many questions.
The model’s computing needs and bias and error risk must be considered before using it in real-world applications. Additionally, attackers could utilize it to launch effective attacks.
Despite its drawbacks, ChatGPT has a bright future. Recent Microsoft investment and subscription pilot launch show it.
