HackerTrans
トップ新着トレンドコメント過去質問紹介求人

jmcallister

no profile record

投稿

Show HN: llmgame.ai – The Wikipedia Game but with LLMs

llmgame.ai
28 ポイント·投稿者 jmcallister·6 か月前·24 コメント

コメント

jmcallister
·4 か月前·議論
this is just an objectively cool application of technology and some hardcore engineering. nice stuff guys
jmcallister
·6 か月前·議論
a new leader emerges
jmcallister
·6 か月前·議論
Interesting...if you see my comment/path above, I was able to do "Visible spectrum → Rainbow Chromaticity (places)."

Under the hood, the prompts are all something like this "Generate nouns that are broader, more general categories that encompass 'Piano'. Return exactly three distinct Wikipedia-style article titles that are nouns, formatted as a comma-separated list with no extra text. Do not include descriptions or adjectives. Focus on specific, named entities or concrete noun concepts only."

The outputs are then deduped from previous generations and any new options are displayed. Based on my result, if you spammed 'deeper' enough, the model would eventually have given you 'Rainbow Chromaticity'.

Uncooperative and non-deterministic.
jmcallister
·6 か月前·議論
'piano torture' sounds real bad
jmcallister
·6 か月前·議論
Crushed it, any thing you want to see added?

Have been thinking to add an Intersection action which takes the 'mean' of two topics. Daily leaderboard of fastest paths is another one.
jmcallister
·6 か月前·議論
Thank you! text.includes("volcano") helping your cause here :)
jmcallister
·6 か月前·議論
Fields with many a local maxima
jmcallister
·6 か月前·議論
Nice work! Gutenberg to peaceful protest in 3 jumps is clutch
jmcallister
·6 か月前·議論
Congrats! I posted my solution above which took it in a completely different climatology direction

There is definitely some work for me to do on the prompting to get the right balance of creativity, specificity, etc. out of the smallest LLMs out there. That being said, there's something enjoyable about finding a way to steer the llm out of a slop loop
jmcallister
·6 か月前·議論
Creator here--today's target is hard but doable :)

I found a path from Books to Rainbow with 366 generated topics! Books → Publishing (broader) Publishing → Media (broader) Media → Times Square (places) Times Square → Central Park (opposite) Central Park → Strawberry Fields (Central Park) (deeper) Strawberry Fields (Central Park) → Strawberry Fields (broader) Strawberry Fields → Berry Fields (broader) Berry Fields → Berry Fields Winery (places) Berry Fields Winery → Wine Country (broader) Wine Country → Wine Region (broader) Wine Region → Terroir (similar) Terroir → Agriculture (broader) Agriculture → Desertification (evil) Desertification → Reforestation (opposite) Reforestation → Ecology (broader) Ecology → Landscape Ecology (deeper) Landscape Ecology → Ecology (broader) Ecology → Ecosystem ecology (deeper) Ecosystem ecology → Trophic dynamics (deeper) Trophic dynamics → Nutrient cycling (deeper) Nutrient cycling → Nitrogen cycle (good) Nitrogen cycle → Biogeochemistry (broader) Biogeochemistry → Earth science (broader) Earth science → Meteorology (deeper) Meteorology → Weather science (broader) Weather science → Meteorology (deeper) Meteorology → Weather phenomenon (deeper) Weather phenomenon → Sunshine (good) Sunshine → Sunlight spectrum (deeper) Sunlight spectrum → Visible spectrum (deeper) Visible spectrum → Rainbow Chromaticity (places).

Try it yourself at www.llmgame.ai