Is ChatGPT Leading Generative AI? What is Beyond Expectations?

Abstract

Generative AI has the potential to change the way we do things. The chatbot is one of the most popular implementation areas. Even though companies like Google and Meta had chatbots, ChatGPT became popular as it was made publicly available. Although ChatGPT is still in the early stages of its development, it attracted the attention of people and capital groups. It has taken the public interest; people from different fields, ages, and education levels started using ChatGPT. There have been many trials with ChatGPT. It is possible to see a lot of news and shares on the Internet. The study aims to shed light on what is happening in the literature and get an insight into the user expectations of ChatGPT and Generative AI. We also give information about the competitors of ChatGPT, such as Google’s Bard AI, Claude, Meta’s Wit.ai and Tencent’s HunyuanAide. We describe technical and structural fundamentals and try to shed light on who will win the race. We also shared information about the GPT4 version of OpenAI's ChatGPT. We share the early stage due diligence and current situation analysis for all these points. We examine preprint papers and published articles. We also included striking posts on the LinkedIn platform and a compilation of various blogs and news. We also made use of ChatGPT in editing the content of these resources of this study. We can get an insight into the people's interests through their questions submitted to ChatGPT. We can also understand the capabilities of GPT3, GPT4 and also predict further enhancements.

Keywords

• OpenAI
• ChatGPT
• GPT4
• Generative AI
• ChatGPT rivals

References

1. Turing, A. M. (1951). Can digital computers think?. The Turing Test: Verbal Behavior as the Hallmark of Intelligence, 111-116.
2. IBM (2023). Natural Language Processing (NLP). https://www.ibm.com/in-en/topics/natural-language-processing
3. Hiemstra, D. (2009). Language Models. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_923
4. Jelinek, F. (1998). Statistical methods for speech recognition. MIT press.
5. Brants, T., Popat, A. C., Xu, P., Och, F. J., & Dean, J. (2007). Large language models in machine translation.
6. Smith, S., Patwary, M., Norick, B., LeGresley, P., Rajbhandari, S., Casper, J., ... & Catanzaro, B. (2022). Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model. arXiv preprint arXiv:2201.11990.
7. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets in advances in neural information processing systems (NIPS). Curran Associates, Inc. Red Hook, NY, USA, 2672-2680.
8. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2020). Generative adversarial networks. Communications of the ACM, 63(11), 139-144.

9. Erdoğan, A. (2019) GANs Nedir? Nasıl Çalışır? DevNot. https://devnot.com/2019/gans-nedir-nasil-calisir/
10. Gharakhanian, A. (2017). "Generative Adversarial Networks – Hot Topic in Machine Learning", https://www.kdnuggets.com/2017/01/generative-adversarial-networks-hot-topic-machine-learning.html
11. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
12. Sim, A. [@aaronsim]. (2022, October 29). Generative AI. Twitter. https://twitter.com/aaronsiim/status/1586412346817187840?s=20
13. Sim, A. [@aaronsim]. (2022, November 10). Generative AI Models. Twitter. https://twitter.com/aaronsiim/status/1590474215383531520?s=20
14. ChatGPT (2023). https://chat.openai.com/. Access date: 04.07.2023
15. Wu, C., Yin, S., Qi, W., Wang, X., Tang, Z., & Duan, N. (2023). Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models. arXiv preprint arXiv:2303.04671.
16. OpenAI (2023). GPT-4 Technical Report. https://cdn.openai.com/papers/gpt-4.pdf
17. Collins, E., Ghahramani, Z. (2021) LaMDA: our breakthrough conversation technolog. Google Blogs. https://blog.google/technology/ai/lamda/
18. Editor, M. (2023) Brad Vs ChatGPT: How Does It Work? MFAME Guru. https://mfame.guru/brad-vs-chatgpt-how-does-it-work/
19. Aydın, Ö. (2023). Google Bard Generated Literature Review: Metaverse. Journal of AI. 7(1), 1-14.
20. Rahsepar, A. A., Tavakoli, N., Kim, G. H. J., Hassani, C., Abtin, F., & Bedayat, A. (2023). How AI Responds to Common Lung Cancer Questions: ChatGPT vs Google Bard. Radiology, 307(5), e230922.
21. West, D. M. (2023). Comparing Google Bard with OpenAIs ChatGPT on political bias, facts, and morality.
22. Le, T. T. (2023). Google Bard talking about applying mindsponge theory to ADHD research.
23. Goodside, R., Papay, S. (2023) Meet Claude: Anthropic’s Rival to ChatGPT. Scale.com Blog. https://scale.com/blog/chatgpt-vs-claude
24. Bai, Y., Kadavath, S., Kundu, S., Askell, A., Kernion, J., Jones, A., ... & Kaplan, J. (2022). Constitutional AI: Harmlessness from AI Feedback. arXiv preprint arXiv:2212.08073.
25. Shetty, S. (2018) Facebook’s Wit.ai: Why we need yet another chatbot development framework? Packtpub. https://hub.packtpub.com/facebooks-wit-ai-why-we-need-yet-another-chatbot-development-framework/
26. Handoyo, E., Arfan, M., Soetrisno, Y. A. A., Somantri, M., Sofwan, A., & Sinuraya, E. W. (2018, September). Ticketing chatbot service using serverless NLP technology. In 2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE) (pp. 325-330). IEEE.
27. Ye, J. (2023). China's Tencent establishes team to develop ChatGPT-like product -sources. Routers. https://www.reuters.com/technology/chinas-tencent-sets-up-team-develop-chatgpt-like-product-sources-2023-02-27/
28. Altamira Expert Team. (2023). 9 Best Open-Source Alternatives to GPT-3 You Should Try. Altamira.ai. https://www.altamira.ai/blog/open-source-gpt-alternative-solutions?fbclid=IwAR2FDSsHXVQL85JS26hZU43U3keDnKjkg8hYyZVUOz1OkKkX7OkeNCk51nw
29. Benzon, W.L. (2023) ChatGPT Intimates a Tantalizing Future; Its core LLM is Organized on Multiple Levels; and it has Broken the Idea of Thinking. Available at SSRN: https://ssrn.com/abstract=4336442
30. Benzon, W.L. (2023) Discursive Competence in ChatGPT, Part 1: Talking with Dragons Version 2. Available at SSRN: https://ssrn.com/abstract=4318832
31. Benzon, W.L. (2023) A Note about Story Grammars in ChatGPT. Available at SSRN: https://ssrn.com/abstract=4324840
32. Sætra, H.S. (2023). Generative Ai: Here to Stay, But for Good?. Available at SSRN: https://ssrn.com/abstract=4330244
33. Shah, C. (2022). The Rise of AI Chat Agents and the Discourse with Dilettantes. Information Matters, Vol. 2, No. 12, 2022, Available at SSRN: https://ssrn.com/abstract=4327315
34. Lund, B., Agbaji, D. (2023). Information Literacy, Data Literacy, Privacy Literacy, and ChatGPT: Technology Literacies Align with Perspectives on Emerging Technology Adoption within Communities. Available at SSRN: https://ssrn.com/abstract=4324580 or http://dx.doi.org/10.2139/ssrn.4324580
35. Bommarito, J., Bommarito, M.J., Katz, J., Katz, D.M. (2023) Gpt as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities. Available at SSRN: https://ssrn.com/abstract=4322372 or http://dx.doi.org/10.2139/ssrn.4322372
36. Hartmann, J., Schwenzow, J., Witte, M. (2023). The political ideology of conversational AI: Converging evidence on ChatGPT’s pro-environmental, left-libertarian orientation. Available at SSRN: https://ssrn.com/abstract=4316084 or http://dx.doi.org/10.2139/ssrn.4316084
37. Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023). ChatGPT is not all you need. A State of the Art Review of large Generative AI models. arXiv preprint arXiv:2301.04655.
38. Azaria, A. (2022). ChatGPT Usage and Limitations. hal-03913837. Available at https://hal.science/hal-03913837/
39. ChatGPT, Perlman, A. (2022). The Implications of OpenAI’s Assistant for Legal Services and Society. Available at SSRN: https://ssrn.com/abstract=4294197 or http://dx.doi.org/10.2139/ssrn.4294197
40. Jabotinsky, H.Y., Sarel, R. (2022). Co-authoring with an AI? Ethical Dilemmas and Artificial Intelligence. Available at SSRN: https://ssrn.com/abstract=4303959 or http://dx.doi.org/10.2139/ssrn.4303959
41. Frye, B.L. (2022). Should Using an AI Text Generator to Produce Academic Writing Be Plagiarism?. Fordham Intellectual Property, Media & Entertainment Law Journal, Forthcoming, Available at SSRN: https://ssrn.com/abstract=429228
42. Hacker, P. (2022). The European AI Liability Directives – Critique of a Half-Hearted Approach and Lessons for the Future. Available at SSRN: https://ssrn.com/abstract=4279796 or http://dx.doi.org/10.2139/ssrn.4279796
43. Baidoo-anu, D. & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7 (1), 52-62. Retrieved from https://dergipark.org.tr/tr/pub/jai/issue/77844/1337500
44. Zhai, X. (2022). ChatGPT User Experience: Implications for Education. Available at SSRN: https://ssrn.com/abstract=4312418 or http://dx.doi.org/10.2139/ssrn.4312418
45. Zhai, X. (2023). ChatGPT for Next Generation Science Learning. Available at SSRN: https://ssrn.com/abstract=4331313
46. Ventayen, R.J.M. (2023). OpenAI ChatGPT Generated Results: Similarity Index of Artificial Intelligence-Based Contents. Available at SSRN: https://ssrn.com/abstract=4332664
47. Avila-Chauvet, L. and Mejía, D., Acosta Quiroz, C.O. (2023) Chatgpt as a Support Tool for Online Behavioral Task Programming. Available at SSRN: https://ssrn.com/abstract=4329020
48. Nisar, S., Aslam, M.S. (2023). Is ChatGPT a Good Tool for T&CM Students in Studying Pharmacology? Available at SSRN: https://ssrn.com/abstract=4324310
49. Bommarito, M.J., Katz, D.M. (2022). GPT Takes the Bar Exam. Available at SSRN: https://ssrn.com/abstract=4314839 or http://dx.doi.org/10.2139/ssrn.4314839
50. Susnjak, T. (2022). ChatGPT: The End of Online Exam Integrity? arXiv preprint arXiv:2212.09292.
51. Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and Cheating: Ensuring academic integrity in the era of ChatGPT. Preprint. https://doi. org/10.35542/osf. io/mrz8h.
52. Mellon, J., Bailey, J., Scott, R., Breckwoldt, J., Miori, M. (2022). Does GPT-3 know what the Most Important Issue is? Using Large Language Models to Code Open-Text Social Survey Responses at Scale. Available at SSRN: https://ssrn.com/abstract=4310154 or http://dx.doi.org/10.2139/ssrn.4310154
53. Zentner, A. (2022). Applied Innovation: Artificial Intelligence in Higher Education. Available at SSRN: https://ssrn.com/abstract=4314180 or http://dx.doi.org/10.2139/ssrn.4314180
54. Ryznar, M. (2020). Exams in the Time of ChatGPT. Washington and Lee Law Review Online, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3684958 or http://dx.doi.org/10.2139/ssrn.3684958
55. Gilson, A., Safranek, C., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2022). How Well Does ChatGPT Do When Taking the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment. medRxiv, 2022-12.
56. Jeblick, K., Schachtner, B., Dexl, J., Mittermeier, A., Stüber, A. T., Topalis, J., ... & Ingrisch, M. (2022). ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. arXiv preprint arXiv:2212.14882.
57. Shope, M. (2023). Best Practices for Disclosure and Citation When Using Artificial Intelligence Tools. Available at SSRN: https://ssrn.com/abstract=4338115
58. Bishop, L. (2023) A Computer Wrote this Paper: What ChatGPT Means for Education, Research, and Writing. Available at SSRN: https://ssrn.com/abstract=4338981 or http://dx.doi.org/10.2139/ssrn.4338981
59. Armstrong, A.B. (2023) Who’s Afraid of ChatGPT? An Examination of ChatGPT’s Implications for Legal Writing. Available at SSRN: https://ssrn.com/abstract=4336929
60. Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News.
61. Willems, J. (2023). ChatGPT at Universities – The Least of Our Concerns. Available at SSRN: https://ssrn.com/abstract=4334162
62. Uludağ, K. (2023). The Use of AI-Supported Chatbot in Psychology. Available at SSRN: https://ssrn.com/abstract=4331367
63. Kutela, B., Msechu, K., Das, S., Kidando, E. (2023). Chatgpt's Scientific Writings: A Case Study on Traffic Safety. Available at SSRN: https://ssrn.com/abstract=4329120
64. Jiao, W., Wang, W., Huang, J. T., Wang, X., & Tu, Z. (2023). Is ChatGPT a good translator? A preliminary study. arXiv preprint arXiv:2301.08745.
65. Aljanabi, M., Ghazi, M., Ali, A. H., & Abed, S. A. (2023). ChatGpt: Open Possibilities. Iraqi Journal for Computer Science and Mathematics, 4(1), 62-64.
66. Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. Journalism & Mass Communication Educator, 10776958221149577.
67. Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. bioRxiv, 2022-12.
68. Marti, G. (2022). From Data to Trade: A Machine Learning Approach to Quantitative Trading. Available at SSRN: https://ssrn.com/abstract=4315362 or http://dx.doi.org/10.2139/ssrn.4315362
69. Aydın, Ö., Karaarslan, E. (2022). OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare. In Ö. Aydın (Ed.), Emerging Computer Technologies 2 (pp. 22-31). İzmir Akademi Dernegi.
70. Aydın, Ö., Karaarslan, E., & Dutta, P. (2023). Artificial Intelligence, VR, AR and Metaverse Technologies for Human Resources Management. VR, AR and Metaverse Technologies for Human Resources Management (June 15, 2023).
71. Aydin, Ö., Karaarslan, E. (2023). OpenAI ChatGPT interprets Radiological Images: GPT-4 as a Medical Doctor for a Fast Check-Up.
72. Alıcı, U. I., Oksuztepe, A., Kilincceker, O., & Karaarslan, E. (2023). OpenAI ChatGPT for Smart Contract Security Testing: Discussion and Future Directions. Available at SSRN 4412215.
73. Dowling, M.M., Lucey, B.M. (2023). ChatGPT for (Finance) Research: The Bananarama Conjecture. Available at SSRN: https://ssrn.com/abstract=4322651 or http://dx.doi.org/10.2139/ssrn.4322651
74. Mertens, F. (2023). The Use of Artificial Intelligence in Corporate Decision-Making at Board Level: A Preliminary Legal Analysis. Financial Law Institute Working Paper Series 2023-01, Available at SSRN: https://ssrn.com/abstract=4339413 or http://dx.doi.org/10.2139/ssrn.4339413
75. Zaremba, A., Demir, E. (2023). ChatGPT: Unlocking the Future of NLP in Finance. Available at SSRN: https://ssrn.com/abstract=4323643
76. Chesterman, S. (2023). AI-Generated Content is Taking over the World. But Who Owns it?. NUS Law Working Paper No. 2023/002, Available at SSRN: https://ssrn.com/abstract=4321596 or http://dx.doi.org/10.2139/ssrn.4321596
77. Alshater, M. (2022) Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT. Available at SSRN: https://ssrn.com/abstract=4312358 or http://dx.doi.org/10.2139/ssrn.4312358
78. Wenzlaff, K., Spaeth, S. (2022). Smarter than Humans? Validating how OpenAI’s ChatGPT Model Explains Crowdfunding, Alternative Finance and Community Finance. Available at SSRN: https://ssrn.com/abstract=4302443 or http://dx.doi.org/10.2139/ssrn.4302443
79. Leippold, M. (2023) Sentiment Spin: Attacking Financial Sentiment with GPT-3. Swiss Finance Institute Research Paper No. 23-11. pp 1-11. Available at SSRN: https://ssrn.com/abstract=4337182 or http://dx.doi.org/10.2139/ssrn.4337182
80. Taylor, L. (2023). Colombian judge says he used ChatGPT in ruling. The Guardian. https://www.theguardian.com/technology/2023/feb/03/colombia-judge-chatgpt-ruling
81. Bishop, L. (2023) Can ChatGPT 'Think Like a Lawyer?' A Socratic Dialogue. Available at SSRN: https://ssrn.com/abstract=4338995 or http://dx.doi.org/10.2139/ssrn.4338995
82. Iu, K.Y., Wong, V.M. (2023). ChatGPT by OpenAI: The End of Litigation Lawyers?. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4339839
83. Choi, J.H., Hickman, K.E., Monahan, A., Schwarcz, D.B. (2023). ChatGPT Goes to Law School. Available at SSRN: https://ssrn.com/abstract=4335905
84. Cook, R. (2023) GM explores using ChatGPT in vehicles. Reuters. https://www-cnbc-com.cdn.ampproject.org/c/s/www.cnbc.com/amp/2023/03/10/gm-explores-using-chatgpt-in-vehicles.html
85. Verge, (2023). Google’s AI chatbot Bard makes factual error in first demo, https://www.theverge.com/2023/2/8/23590864/google-ai-chatbot-bard-mistake-error-exoplanet-demo
86. Radar, (2022). Everything We Know About GPT-4, https://www.datacamp.com/blog/what-we-know-gpt4
87. Fung, B. (2023). Google, Microsoft, OpenAI and Anthropic announce industry group to promote safe AI development. CNN. https://edition.cnn.com/2023/07/26/tech/ai-industry-group/index.html