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Bengaluru
Joined August 2022
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i gave fable 5.2 one prompt and went to sleep
11 hours later it had built the entire history of earth as a fully interactive 3d globe. big bang to today
drag the timeline to any year, spin to any place, click anything to go deeper. this is just ww2
the last thing on the timeline is the ai that built it
I wanted to test Fable 5.2's quality with one-shot prompts without human feedback.
Everything in this game is from scratch: models, sounds, textures. ~$550 at API pricing, ~2.7M output and 445M input tokens, heavily cached. Took 8 hours!
Play it here: claude.ai/artifact/BGY1SztrA…
the laziest possible approach already beat reducto
reducto turns messy pdfs (bank statements, contracts, scanned forms) into clean data an ai can actually use. i'm trying to build an open source version of it with fable
first test: no pipeline, no tricks. just show claude haiku the page and ask it to read it
it got 80% of a public benchmark's checks right. reducto's own model got 76%
catch: reducto sells a version for $0.001 a page. haiku cant go that cheap
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the laziest possible approach already beat reducto
reducto turns messy pdfs (bank statements, contracts, scanned forms) into clean data an ai can actually use. i'm trying to build an open source version of it with fable
first test: no pipeline, no tricks. just show claude haiku the page and ask it to read it
it got 80% of a public benchmark's checks right. reducto's own model got 76%
catch: reducto sells a version for $0.001 a page. haiku cant go that cheap
trying to beat a yc company with fable 5.2
reducto turns messy pdfs into clean data for ai. on their own benchmark they beat azure, aws and gpt-4o
i'm giving fable that exact benchmark and their official grader, and asking it to build an open source version that wins
every number goes up here, even the ugly ones. the first one already surprised me
next experiment: trying to beat a yc company with fable. first result already surprised me xitter.twitterapi.xyz/arpittalksstuff/status…
the laziest possible approach already beat reducto
reducto turns messy pdfs (bank statements, contracts, scanned forms) into clean data an ai can actually use. i'm trying to build an open source version of it with fable
first test: no pipeline, no tricks. just show claude haiku the page and ask it to read it
it got 80% of a public benchmark's checks right. reducto's own model got 76%
catch: reducto sells a version for $0.001 a page. haiku cant go that cheap
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trying to beat a yc company with fable 5.2
reducto turns messy pdfs into clean data for ai. on their own benchmark they beat azure, aws and gpt-4o
i'm giving fable that exact benchmark and their official grader, and asking it to build an open source version that wins
every number goes up here, even the ugly ones. the first one already surprised me
testing a theory right now
opus 5.5 plans and orchestrates. fable 5.2 only executes, one big job per session, no back and forth
long chatty fable sessions burn tokens and waste what its actually good at
will share numbers once its done
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what i noticed after letting fable 5.2 run a whole project alone
long running doesnt really mean long. its more like wide and deep at the same time. research in one corner, deep code in another, testing somewhere else, and every branch has its own mess inside it. fable just holds all of it, in one shot. havent seen that from any model before
stuff thats working for me
- write a proper spec. honestly thats the only bottleneck now, not the model
- let it research as it goes and dont let it assume anything. its research is good enough to trust
- make it check its own work. opus 5.5 did this too but missed a lot. fable actually catches its own mistakes
- then just step back and let it steer
this is what one prompt and 11 hours got me
i gave fable 5.2 one prompt and went to sleep
11 hours later it had built the entire history of earth as a fully interactive 3d globe. big bang to today
drag the timeline to any year, spin to any place, click anything to go deeper. this is just ww2
the last thing on the timeline is the ai that built it
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wanted to post a fable 5.2 example last night. its still running. almost 6 hours in lol
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
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11+ hours later
xitter.twitterapi.xyz/arpittalksstuff/status…
i gave fable 5.2 one prompt and went to sleep
11 hours later it had built the entire history of earth as a fully interactive 3d globe. big bang to today
drag the timeline to any year, spin to any place, click anything to go deeper. this is just ww2
the last thing on the timeline is the ai that built it
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try it: earth-whole-story.pages.dev
what's inside:
- 13.8 billion years on one scrollable timeline
- continents drifting from real plate data
- 67,000+ events, every country
- 16 scroll stories (ww2, black death, spice routes, silk roads...)
- 12 trails (follow the buddha, the story of salt...)
- kid mode, sources on everything
the exact prompt and all the code are open source
prompt: github.com/arpitpatel25/eart…
repo: github.com/arpitpatel25/eart…
11 hours unsupervised, about $162 at api pricing, it wrote and passed its own test suite
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The cheap model is the one your agent actually runs all day.
Releasing Muse Ember today -- our smallest model that delivers higher intelligence per dollar than others in its class. Built for token-heavy work that agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. Available today on the Meta Model API and in Muse Code.
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gpt 6.2, fable 5.5 and qwen 4 all supposedly this week. one of them is shipping friday night and ruining everyones weekend
Arpit retweeted
this bridge only exists where my lantern shines 🏮
first time ever making a game: a papercraft adventure about carrying the last flame home.
built with Opus 5.5. the courier, lanterns and ruins were all generated in Mixar.
would you play this?
#indiegame #gamedev






