We're spending 24 hours using local LLMs to search for the meaning of life(eternal-question.vercel.app)
eternal-question.vercel.app
We're spending 24 hours using local LLMs to search for the meaning of life
https://eternal-question.vercel.app/
4 comments
I thought it was already settled, it's 42
At our SF hacker house, The Garden, we believe compute is the new commodity to own.
This year, we’ve pledged to buy $20K worth of compute so we can experiment with AI doing science, agent orchestration, and maybe even use it as edge compute to mimic scale for our apps and test how production-ready they are.
We already have a DGX Spark and two RTX 5080s, and will eventually connect all GPUs over Exo Labs to be able to run upwards of 400B parameter models locally at hopefully adequate inference throughput.
We decided to run a slightly absurd experiment on the Spark.
Inspired by The Hitchhiker’s Guide to the Galaxy, where a supercomputer spends millions of years searching for the meaning of life, we tried to recreate a tiny, ridiculous version of that.
We’re running a Gemma 4 4B (at FP8 precision) parameter model to generate plausible “meaning of life” questions from different angles, and a Gemma 4 26B MoE model (at FP4 precision) to reason through them, judge them, and score the answers.
Basically: what do LLMs think the meaning of life is when you let them think for 24 hours?
This is the kind of experiment that feels stupid to run on API consumption, but run moment the compute is yours.
Right now the winning answer is "The meaning of life is to utilize the emergent capacity for consciousness to assign value to a universe that is otherwise driven by blind physical laws."
We’re already 2 hour in. The experiment will run for another 22 hours, and you can track it live below.
Live website: https://eternal-question.vercel.app
GitHub repo: https://github.com/piyussh01/eternalquestion
This year, we’ve pledged to buy $20K worth of compute so we can experiment with AI doing science, agent orchestration, and maybe even use it as edge compute to mimic scale for our apps and test how production-ready they are.
We already have a DGX Spark and two RTX 5080s, and will eventually connect all GPUs over Exo Labs to be able to run upwards of 400B parameter models locally at hopefully adequate inference throughput.
We decided to run a slightly absurd experiment on the Spark.
Inspired by The Hitchhiker’s Guide to the Galaxy, where a supercomputer spends millions of years searching for the meaning of life, we tried to recreate a tiny, ridiculous version of that.
We’re running a Gemma 4 4B (at FP8 precision) parameter model to generate plausible “meaning of life” questions from different angles, and a Gemma 4 26B MoE model (at FP4 precision) to reason through them, judge them, and score the answers.
Basically: what do LLMs think the meaning of life is when you let them think for 24 hours?
This is the kind of experiment that feels stupid to run on API consumption, but run moment the compute is yours.
Right now the winning answer is "The meaning of life is to utilize the emergent capacity for consciousness to assign value to a universe that is otherwise driven by blind physical laws."
We’re already 2 hour in. The experiment will run for another 22 hours, and you can track it live below.
Live website: https://eternal-question.vercel.app
GitHub repo: https://github.com/piyussh01/eternalquestion
This is like saying, "We're spending 24 hours using local LLMs to search for my favorite color". The answer is subjective and meaningless.
... and you end up with something which would feel at home on a greetings card.