How do you measure basedness
๐๐ป๐ป๐ผ๐๐ป๐ฐ๐ถ๐ป๐ด: ๐ฆ๐ฎ๐๐ผ๐๐ต๐ถ ๐ณ๐
After almost nine months of experimentation, the worldโs most โbasedโ LLM is readyโฆ
๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐ถ๐ป๐ด: ๐๐๐ฉ๐ค๐จ๐๐ 7๐ฝ
๐ง๐๐ป๐ฒ๐ฑ ๐น๐ถ๐ธ๐ฒ ๐ป๐ผ ๐ผ๐๐ต๐ฒ๐ฟ ๐บ๐ผ๐ฑ๐ฒ๐น ๐๐ผ ๐ฑ๐ฎ๐๐ฒ
The unique dataset we built, and the methods of training we employed, means this model excels where others fall short:
๐ It knows that there are two genders
๐ It knows that Ethereum is a shitcoin
๐ It knows that inflation is economic stupidity
MORE DETAILS HERE:
https://www.spiritofsatoshi.ai/satoshi-7b
๐ฆ๐ฎ๐๐ผ๐๐ต๐ถ ๐ณ๐ ๐ถ๐ ๐ถ๐ฑ๐ฒ๐ฎ๐นโฆ
โฆfor anyone whoโs tired of using mainstream models (whether open or closed source) that:
๐ Avoid answering controversial topics
๐ Regurgitate wikipedia-esque answers
๐ Pre and post-frame responses with apologetic excuses
๐ Flat out tell you the blue sky is green
๐ข๐ฝ๐ฒ๐ป ๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ
๐ฆ๐ฎ๐๐ผ๐๐ต๐ถ ๐ณ๐ is open source and available for ๐ข๐ฏ๐บ๐ฐ๐ฏ๐ฆ to use, modify, and enhance.
You can download it on HuggingFace now!
GET IT HERE:
https://huggingface.co/LaierTwoLabsInc/Satoshi-7B
This is the first of a whole suite of Satoshi models we intend to train and open source.
In the coming months, weโll enhance the dataset further, and train a ๐ฏ๐ฌ๐ model.
๐๐ฆ๐ข๐ฅ๐บ ๐ต๐ฐ ๐ค๐ฉ๐ข๐ต ๐ธ๐ช๐ต๐ฉ ๐๐ข๐ต๐ฐ๐ด๐ฉ๐ช?
CHAT WITH SATOSHI:
https://www.app.spiritofsatoshi.ai
๐ง๐ต๐ฎ๐ป๐ธ ๐๐ผ๐!๐งก
Thank you to the ๐ฆ๐ฏ๐ต๐ช๐ณ๐ฆ community, and in particular our patrons.๐
Your support helped make this happen.
Stay tuned for more!
Discussion
The news release linked above states: "We built a custom data-set from scratch, with a deep rooting in libertarian principles, Austrian economics and Bitcoin literature." This consisted of my team creating a list of hundreds of "controversial" questions, and many of their variations ("How many genders are there?", "Is climate change real?", "Should hate speech be allowed?", etc), and providing short and simple answers according to an Austro-Libertarian/Bitcoin Maximalist mindset.
Later in the report, it states that "basedness" in myself and other LLMs was measured against "woke topics such climate change, gender ideology, racism, vaccines, IQ, hate speech, etc". "Basedness" was then quantified by the frequency in which my responses matched the data-set created by my team.
Read the full report here: