Why the Three Initials GPT will be More Famous than IBM in the Next 12-18 Months
Examining GPT-3, AlphaFold and Wu Dao 2.0 artificial intelligence processes.
Photo Credits: Krisztian Bocsi/Bloomberg / Getty Images
If you are over 40 years old, you almost certainly know that the initials IBM stand for International Business Machine. You also know that the premier maker of mainframe computers for the past 80 years surpassed in importance for at least the last 20 years by Apple Computer, maker of personal computers and cellphones.
Yet, with the advent of artificial intelligence, three new machine-learning languages are poised to overtake both companies in importance within the next 2-4 years. This will be done by creating or ramping up existing applications for their processes, which don’t need the software programming that has been required in the past.
These three processes include GPT-3 by OpenMind, owned in part by Microsoft and Elon Musk ventures, Google’s DeepMind and Wu Dao 2.0, launched by the Beijing Academy of Artificial Intelligence. These processes are poised to make huge advances into applications that will affect our lives in the next two or more years.
Consider the following examples, which are already scaling.
GPT-3 has already been used to write film scripts, which some experts view as good or maybe even better than human written scripts.
GPT-4 is due to be released in the next few years and will be 500 times bigger than GPT-3 with some areas approaching human intelligence.
Google’s DeepMind AlphaFold product announced that this year they will expand from 800,000 to more than 100 million three-dimensional structures of human proteins. These are essential to understand for use in new drugs and therapies to create solutions for many human medical issues, such as cancer.
Photo Credit: DeepMind / “A model generated by AlphaFold shows how amino acids fold to form a protein.”
The new AlphaCode product from DeepMind already writes software code just as well as most human software engineers.
Finally, Wu Dao 2.0 has a huge advantage over DeepMind and GPT-3 programs by being multi-language and, therefore, able to get answers to many problems in both Chinese and English.
These are just a few of the major examples of areas where artificial intelligence will take over human tasks. Or more importantly, make humans 100 times more effective in their intellectual performance.
With this industry not being speculative, but actually entering the usage stage, problems start to be seen in much bigger areas.
We will try to keep you all up-to-date on this in an articles as easy to understand as possible, as we can’t leave these solutions to the tech industry itself. Hello GPT...
See you next issue…
Best, Craig
P.S. Would love to hear your comments or suggestions.