Using Jargon CLI in Jargon v0.2.0
The Jargon CLI is a new feature of Jargon: it is a command line shell that works with the OpenAI API and allows you to experiment with Jargon programs quickly. You can try it out in v0.2.0 at the Jargon Github repoInstallationTo install it, simply use pip:$ cd gpt-jargon $ pip install . For the CLI to be able to access your LLM, make sure your OPENAI_API_KEY environment variable is set. The default model used is gpt-4, but you may want to use an alternative model with the --model option (or t...
Using Jargon CLI in Jargon v0.2.0
The Jargon CLI is a new feature of Jargon: it is a command line shell that works with the OpenAI API and allows you to experiment with Jargon programs quickly. You can try it out in v0.2.0 at the Jargon Github repoInstallationTo install it, simply use pip:$ cd gpt-jargon $ pip install . For the CLI to be able to access your LLM, make sure your OPENAI_API_KEY environment variable is set. The default model used is gpt-4, but you may want to use an alternative model with the --model option (or t...
New features in Jargon v0.0.12
If you are not familiar with Jargon, start at the introductory article and Github.Jargon is now specified as a Jargon procedureAs of Jargon 0.0.10, the Jargon language is specified self-referentially as a Jargon procedure with Jargon axioms, which goes on to define Jargon procedures and Jargon axioms and the other language constructs.Jargon explicitly supports type expressionsA type expression is a natural language description of a class of data. For example:[an even number] Type expressions ...
New features in Jargon v0.0.12
If you are not familiar with Jargon, start at the introductory article and Github.Jargon is now specified as a Jargon procedureAs of Jargon 0.0.10, the Jargon language is specified self-referentially as a Jargon procedure with Jargon axioms, which goes on to define Jargon procedures and Jargon axioms and the other language constructs.Jargon explicitly supports type expressionsA type expression is a natural language description of a class of data. For example:[an even number] Type expressions ...
How to bring blockchain to market
If I were to try to bring blockchain to market all over again, I would do it completely differently. I would realize that mainstream users are absolutely not ready to shift their internet paradigm. Instead, they have to have their world Trojan horsed by decentralization technologies, bottom up, inside out. I would still start with cryptocurrencies. Digital asset capital formation is key to sustainability of the space, and we need a strong base of aligned technical users and traders to fight t...
How to bring blockchain to market
If I were to try to bring blockchain to market all over again, I would do it completely differently. I would realize that mainstream users are absolutely not ready to shift their internet paradigm. Instead, they have to have their world Trojan horsed by decentralization technologies, bottom up, inside out. I would still start with cryptocurrencies. Digital asset capital formation is key to sustainability of the space, and we need a strong base of aligned technical users and traders to fight t...
Jargon: an LLM-based pseudolanguage for prompt engineering
Warning and disclaimer🚨 You are about to enter the realm of LLM pseudolanguages. Pseudolanguages are weird, experimental, and crazy. They don’t work very well yet, even on state-of-the-art LLMs. Use pseudolanguages at your own risk. Do not use them for anything with high stakes or in production.tl;drJargon is a natural language, informally specified, intelligently interpreted, referentially omnipotent, and flow control oriented LLM-based pseudolanguage for prompt engineering, currently runni...
Jargon: an LLM-based pseudolanguage for prompt engineering
Warning and disclaimer🚨 You are about to enter the realm of LLM pseudolanguages. Pseudolanguages are weird, experimental, and crazy. They don’t work very well yet, even on state-of-the-art LLMs. Use pseudolanguages at your own risk. Do not use them for anything with high stakes or in production.tl;drJargon is a natural language, informally specified, intelligently interpreted, referentially omnipotent, and flow control oriented LLM-based pseudolanguage for prompt engineering, currently runni...
Open neural networks: the intersection of AI and web3
by Rishin Sharma & Jake Brukhman. Special thanks to everyone who gave feedback on this piece, including Nick Yakovenko, David Pakman, Jan Coppens, AC, Evan Feng, Adi Sideman.Prompt: “translucent cyborg sitting on a metal throne in a futuristic castle, cyberpunk, highly detailed, sharp lines, neon lights”Prompt: “translucent cyborg sitting on a metal throne in a futuristic castle, cyberpunk, highly detailed, sharp lines, neon lights” Source: AI-generated image from Lexica.art, a stable diffu...
Open neural networks: the intersection of AI and web3
by Rishin Sharma & Jake Brukhman. Special thanks to everyone who gave feedback on this piece, including Nick Yakovenko, David Pakman, Jan Coppens, AC, Evan Feng, Adi Sideman.Prompt: “translucent cyborg sitting on a metal throne in a futuristic castle, cyberpunk, highly detailed, sharp lines, neon lights”Prompt: “translucent cyborg sitting on a metal throne in a futuristic castle, cyberpunk, highly detailed, sharp lines, neon lights” Source: AI-generated image from Lexica.art, a stable diffu...
