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Formwelt, OpenAI Codex, Github Co-Pilot and other Artificial Intelligence projects will make the SourceLess Platform usable by absolutely anyone, being able to create anything just by using words (written or spoken).
For example, by using the Formwelt language, anyone, regardless of nationality, can communicate in a direct and semantically correct way with OpenAI Codex and create anything in the digital world; you can create a complete and complex website in less than an hour. All these AI systems will be implemented inside the SourceLess Platform, thus everyone can have access to all the facilities of the new Web through a single domain (eg: str.domain).
Education, Technology & Innovation – these three pillars of the future are the foundations of the SourceLess Platform.
The purpose of education in the Sourceless project is to transmit knowledge or foster skills and character traits. These aims may include the development of understanding, rationality, kindness, and honesty. Using all these fundamental bases, we can access and use current technologies to innovate and bring out other new technological marvels that will benefit all mankind.
Below you can find some of the AI engines that we will integrate into the Sourceless Platform.
OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task.
GPT-3’s main skill is generating natural language in response to a natural language prompt, meaning the only way it affects the world is through the mind of the reader. OpenAI Codex has much of the natural language understanding of GPT-3, but it produces working code—meaning you can issue commands in English to any piece of software with an API. OpenAI Codex empowers computers to better understand people’s intent, which can empower everyone to do more with computers.
FORMWELT is a coding language for language and meaning. It is a linguistic system based on injunction to acquire definition. Its kernel consists of about 320 references: you might think of them as words with concrete meaning which explain each other without any gaps that could hinder the flow of information and construction of precise sense. The kernel is semantically self-sufficient. It contains the basic concepts which are needed to describe any thinkable or perceivable phenomenon.
FORMWELT provides a language that can be spoken just as conventional language. As a matter of fact it builds on the language we speak every day and improves on it, as every user can improve on it further. FORMWELT is not an artificially constructed hybrid language.
FORMWELT is spoken in the existing languages of our world, but the results of interactions based on language programmed by FORMWELT will be better coordinated, less prone to misunderstanding and failure, more precise and much more in accord to the plans of the individuals who use it to realize their plans.
GitHub Copilot is an AI pair programmer that helps you write code faster and with less work. It draws context from comments and code to suggest individual lines and whole functions instantly. GitHub Copilot is powered by Codex, a generative pretrained language model created by OpenAI. It is available as an extension for Visual Studio Code, Visual Studio, Neovim, and the JetBrains suite of integrated development environments (IDEs). GitHub Copilot is not intended for non-coding tasks like data generation and natural language generation, like question & answering. Your use of GitHub Copilot is subject to the GitHub Terms for Additional Product and Features.
OpenAI Codex was trained on publicly available source code and natural language, so it works for both programming and human languages. The GitHub Copilot extension sends your comments and code to the GitHub Copilot service, and it relies on context, as described in Privacy below – i.e., file content both in the file you are editing, as well as neighboring or related files within a project. It may also collect the URLs of repositories or file paths to identify relevant context. The comments and code along with context are then used by OpenAI Codex to synthesize and suggest individual lines and whole functions.
Soon we will also introduce a Playground on our website sourceless.io where anyone can test and play with some of the AI systems.
Together we can make it happen.
We are the future Cognitive Web!
We, are Sourceless!
