Greg Leppert

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Greg Leppert

Greg Leppert

@leppert

Working on AI and access to knowledge. Executive Director @instdin, Chief Technologist @BKCHarvard

Most tweets deleted after 1 week. Katılım Şubat 2010
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Greg Leppert
Greg Leppert@leppert·
When I feel intimidated learning new things, especially systems, I often think about “Fog of War” mapping in RTS games. A FoW map is obscured in darkness, only to be revealed as you explore, tile by tile, until the entire domain is visible.
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Greg Leppert
Greg Leppert@leppert·
@DavidDuvenaud @AlecRad @status_effects @instdin But if your goal is testing LMs for their ability to predict the future, suddenly there’s reason to care about the qualities of data that knowledge stewards have long valued. Suddenly everyone is working together on the same problems.
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Greg Leppert
Greg Leppert@leppert·
@DavidDuvenaud @AlecRad @status_effects @instdin What’s particularly smart is this team’s aligning of incentives. It’s been difficult to get the AI community to care about data quality beyond hill climbing toward benchmarks perceived as capturing the sota of model behavior.
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David Duvenaud
David Duvenaud@DavidDuvenaud·
Announcing Talkie: a new, open-weight historical LLM! We trained and finetuned a 13B model on a newly-curated dataset of only pre-1930 data. Try it below! with @AlecRad and @status_effects 🧵
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Greg Leppert
Greg Leppert@leppert·
@DavidDuvenaud @AlecRad @status_effects @instdin It shouldn’t be missed the profound dedication to data cleanliness and accuracy here. Everyone in the AI community working on and with historical data should take note. This is how we germinate force multipliers between the work of AI builders, historians, and digital humanists.
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Greg Leppert
Greg Leppert@leppert·
If you’re interested in working with us at @instdin to produce state of the art datasets in collaboration with knowledge institutions from across the globe, reach out. We’re hiring deep technologists and community builders. institutional.org
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Greg Leppert
Greg Leppert@leppert·
Amazing work from an amazing team using @instdin’s Institutional Books data release. Their dedication to detail and accuracy is sorely missing from the vast majority of historical-data work from the AI community. Yet there’s so much work to be done and benefit to getting it right
David Duvenaud@DavidDuvenaud

Announcing Talkie: a new, open-weight historical LLM! We trained and finetuned a 13B model on a newly-curated dataset of only pre-1930 data. Try it below! with @AlecRad and @status_effects 🧵

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Greg Leppert
Greg Leppert@leppert·
Why did the band go hardcore? They were losing money on every gig but figured they could make it up in volume.
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Greg Leppert
Greg Leppert@leppert·
Be like the fox who makes more tracks than necessary, some in the wrong direction. Practice resurrection.
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Greg Leppert
Greg Leppert@leppert·
Adulthood involves a staggering number of creams.
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Greg Leppert
Greg Leppert@leppert·
If principles are a set, it’s equally important to ensure petty items aren’t added as it is to ensure critical items aren’t removed.
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Greg Leppert
Greg Leppert@leppert·
I used to think the “sticking” in “stick to your principles” meant holding the line, and it does. But the older I get the more I realize it also means not getting pulled into all the other stuff.
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Jud Stephenson
Jud Stephenson@JudStephenson·
open source used to mean donating your time. now it means donating your tokens.
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