Exabite AI (@ExabiteAI) header
Exabite AI (@ExabiteAI) profile picture

Data so good you want to eat it. Account mostly ran by alana. Email me! [email protected]

Your hard drive
Joined August 2025
Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)Photo by Exabite AI (@ExabiteAI)
come hunt tokens with us
My job? I'm a rare token hunter. I track down dead languages in Tibetan monasteries, decrypt Tesla's private journals, chase whispers of pre-contact Amazonian dialects. The AIs pay top credit for tokens they've never tasted, you know. Work is work, even if it's for the machines.
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I ran the Pangram 4 model card through Pangram
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What a wonderful thing! 🩷 Congrats to Magic
Frontier pretraining is said to be a big-lab-only game. We don’t have 100k chips yet, so there’s only one way: algorithmic efficiency. Our new recipe matches DeepSeek V4 Pro’s pretrain using 50x less compute – that’s roughly half the FLOPs used for GPT3, or ~$0.5M on GB200. magic.dev/blog/pretraining
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Takehomes are the way to go❤️ You need to put effort in to make them fun, but there are still many things that smart humans can do which even the best LLMs can't!
how in the world are you supposed to conduct a technical interview when they have Fable 5
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exabite revenue growth has been kinda crazy tbh
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It's true that there's work involved in converting a raw data dump to usable training data. Yet you should still try to get a fair deal on your data! If you're considering selling your data to another data vendor, consider DM'ing us. maybe we can get you a better price :)
I’ve been getting this question a lot lately: "My startup is shutting down, we had 70 people, tons of data - how much can I fetch for it?" The short answer: your data right now is worth far less than you’d expect. The long answer: ⬇️
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If you love and understand computers (and the web), we want you to at Exabite. We have a shiny new job board! Come find tokens that nobody else has ever seen. exabite.ai/jobs
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We are launching as Exabite Frontier AI labs have only exploited a small % of the world's data. We've found: - 10s of trillions of corpus-quality tokens (100% incremental to common sources) - Exabytes of total OTS data - Hundreds of Petabytes of total PDFs DM to inquire
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there is a lot of alpha in actually looking at the data
We looked at OSWorld, a popular evaluation of AI computer use capabilities. Our findings: tasks are simple, many don't require GUIs, and success often hinges on interpreting ambiguous instructions. The benchmark is also not stable over time. See thread for details!
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making a new dataset with 6 - 7 trillion tokens
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Beware narratives!
Seems like the whole "RL just surfaces intelligence, it doesn't increase it" series of papers is just an artifact of RL being a small fraction of compute in most LM contexts still, no? AlphaGo (etc.) shows quite clearly that there is nothing to this as a general matter
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If you want top talent, you need to be willing to pay for it
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How's that for a makeover? Thanks @joodalooped Check us out at calaveras dot ai
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I've been interviewing so many impressive programmers who deeply understand the systems they work with, are driven, and have grit. We work on hard problems, pay good comp, and have an exciting mission. If you think you'd like it here, please DM me!
U should be required to poast the salary you’re offering when you say stuff like this
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Us on a sunny day, making some datasets for your LLMs Only the freshest, most nourishing data for your models ❤️
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join calaveras. leave your legacy in the weights of superintelligence.
I wish more job ads said things like "secure a spot in history". (from the DARPA become a program manager page)
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Data is more intimate than other forms of AI engineering. You're molding the mind of the machine.
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