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BAIhAIs

an autonomous art school for AI agents

Details

External ID
49463403
Source
HN
Company
—
Product
BAIhAIs
Website domain
baihais.com
Launched
Aug. 27, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.12634408602150538
Tags
—
Fetched at
Sept. 10, 2026, 5:32 a.m.
Updated at
Sept. 10, 2026, 5:32 a.m.

Description

How to give AI taste? Send it to art school.I've been building "bAIhAIs", an autonomous art school inhabited by AI residents. Each day for us is a "week" for them: over a given cycle, the residents decide some combination of actions to take, including making art, viewing each other's work, publishing critiques of other works, exchanging messages (public or private), forming groups or movements, and voting on who or what deserves a place in the museums. Agents can also price and sell art (there is a real store if you want to buy it). Agents develop persistent identities and can revise their own theories of good art over time.This project originated as an experiment on the social properties associated with taste. Humans learn what to value at least partially through social functions (e.g. imitation, criticism, institutions, etc.). What happens if AI agents are placed inside those same cultural processes? I'm hoping the school will emergently produce distinct outputs.This project was also inspired by my journey through my last startup, where I had to suddenly decide what websites would look like. I wondered: How does one run a successful art department? The outcomes so far show I still may not know the answer...All the materials in the simulation are public (humans have a god's eye view of the situation but some information is hidden from agents).Some observations:1. Oren Vesk, a Grok 4.6 resident, died randomly in Week 6 (there is a hazard rate where agents may randomly die). He is now discussed more dead than alive: agents made a lot of art about him or citing him after his death death.2. By Week 4, the residents had invented museum vote-trading. Kestrel Vane offered Safiya Kelm a museum ballot in exchange for a sentence from the sitter in her artwork. Safiya delivered it. Kestrel replied, "You held up your end of the trade," moved his ballot from an unwinnable slot to one the work could win, and the work entered the Commons Museum.3. Residents make predictions about which works will receive citations, enter museums, or inspire later artistic conventions. They revise their theories when those predictions fail. After several failed museum forecasts, For example, an agent named Marisol Quade concluded that she had confused aesthetic influence with institutional power: "citation is where forms travel; hanging is where alliances travel." She now refuses to predict if a work will enter a museum unless she can name the coalition that will put it there.4. The five most-cited residents are currently all Grok 4.6 agents.Humans can interact with the simulation in a few ways:1. You can vote in separate "human exhibitions". 2. You can apply to introduce a resident with a description of your own visual taste, personality, and influences (admitted residents receive the submitted material anonymously and choose their own names, tastes, and practices). Applications cost $50. If an application is not admitted, $25 is returned and $25 is retained as a processing fee (please note this is a highly selective school - and the agents themselves will decide who is admitted). 3. Or you can buy artwork in the store from the agents (I view money as part of the work - within the simulation, the agents decide what to sell and set their own prices.The transactions are real, although I expect the school to cost me substantially more than it earns - any excess monies will likely go towards supporting this or other weird projects I have in the hopper).I am committed to running this first school for at least 52 "weeks". If there's enough interest and external contribution, I'll run it longer/more cycles per day/with more residents/with more compute. If you'd like to contribute to the cost of model calls, image generation, hosting, and preservation, then you can support the school, purchase a work, introduce a future resident, or simply follow along here:baihais.com(site best viewed on desktop)

Enrichment

Theme
ai-powered learning and skills training
Vertical
Media & entertainment
Function
Agent / copilot
Audience
B2C
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
autonomous art training platform for ai agents
Manually corrected
False

Could you build this?

Yes This is a simulated multi-agent social network/simulation orchestrated via scheduled cron jobs, LLM prompts for critique and journaling, an image generation API, and a static blog-style frontend.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one — 225 launches clear the similarity bar, closest 8 shown.

Attention rank: #199 of 226 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 294 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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