The contribution according to Chatgpt: Fabian Peters first appeared on Basic Thinking how other companies could develop their own AI so quickly. You always stay up to date with our newsletter.
Since Chatgpt’s triumphal march, more and more AI models have been shooting out of the ground like mushrooms. This rapid development appears surprising. But there are several reasons why other companies have managed to develop their own AI so quickly. An analysis.
Chatgpt made the topic of artificial intelligence socially acceptable. Just two months after the publication, AI recorded over 100 million users worldwide. This makes Chatgpt the fastest growing internet application ever. In the meantime, developer company Openaai worldwide has over 300 million monthly active users – and over one million paying subscribers.
Chatgpt: Why other companies were able to develop their own AI so quickly
Just a few months after the release of Chatgpt, many other companies published their own AI models. Among them: Claude von Anthropic (March 2023), Google Bard (March 2023, later Google Gemini) and Llama of Facebook Group Meta (July 2023). Many smaller start-ups also threw their hat into the AI ring and presented their voice models.
But how is it possible that other companies were able to develop their own AI systems so quickly, while Openai had worked on Chatgpt for several years?
Open source principle
An important reason is the open source principle. Because after the publication of Chatgpt, researchers and developers developed open alternatives worldwide, which they freely made available online. Meanwhile, Openai mostly keeps his AI system closed.
Open source architectures such as META or the French software company Mistral accelerated the AI development because scientists and developers were able to participate worldwide to improve the models. Other companies in turn had the opportunity to fall back on a software foundation and did not have to start developing all over again.
Cloud infrastructures
Another reason: the broad availability of cloud infrastructures and high computing services. Because platforms such as Amazon Web Services, Google Cloud and Microsoft Azure offer software environments on which large AI models can be developed and trained comparatively easily.
On the one hand, these cloud platforms are an advantage for the operators themselves. On the other hand, other companies now have the option of using the cloud infrastructures and computing services from the great tech giants against fees. Another development driver: competitive pressure.
Because Chatgpt has revealed the potential of AI technologies-also from an economic point of view. Many companies were therefore concerned with developing their own AI models as soon as possible so as not to lose the connection. Among the big players in the technology industry, only Apple seems to have missed this jump.
Research
The open innovation principle also had a share in the fact that so many companies were able to develop their own AI models quickly after chatt. The background: Nowadays, many companies work closer with universities, research institutions or other companies to accelerate progress-including the AI industry.
With Bard or Gemini, Google was able to launch its own and competitive AI immediately after Chatgpt, since the company had researched artificial intelligence years earlier. Google even developed some key technologies behind Chatgpt itself. Among them: the so-called transformer approach.
This was developed by Google in 2017 and helps Chatgpt to process text by recognizing the AI which words are particularly important in a certain context. The alphabet subsidiary also has gigantic amounts of data to train its own AI models.
Anthropic has again benefited from the fact that both founders and numerous employees of the company previously worked for Openai. Amazon and Google also invested billions in Anthropic at an early stage, which accelerated AI development. Meanwhile, Facebook Group Meta is fully relating to an open source approach that has spared the company a lot of development work.
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The contribution according to Chatgpt: Fabian Peters first appeared on Basic Thinking how other companies could develop their own AI so quickly. Follow us too Google News and Flipboard.
As a Tech Industry expert, I believe that companies can develop their own AI quickly by leveraging existing technologies, resources, and expertise. One key factor in the rapid development of AI is the availability of open-source tools and libraries that companies can use to build their own AI models. These tools, such as TensorFlow and PyTorch, provide a solid foundation for developing AI applications and can significantly accelerate the development process.
Additionally, companies can also tap into the wealth of AI research and knowledge that is freely available online. By staying up-to-date with the latest research and advancements in AI, companies can quickly incorporate cutting-edge techniques and algorithms into their own AI systems.
Furthermore, companies can also benefit from partnerships and collaborations with AI experts and researchers. By working with academia and industry leaders in the field of AI, companies can access specialized knowledge and expertise that can help them develop AI solutions more quickly and effectively.
Overall, by leveraging existing tools, resources, and expertise, companies can develop their own AI systems quickly and efficiently. With the right approach and mindset, any company can harness the power of AI to drive innovation and growth in their business.
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