Companies are finding out the moat isn't in having petabytes of data. It's in having the right data.
When it comes to training advanced AI, they're actually data-poor. As a result, there's been a big shift towards small data, small models and synthetic data.
13.12.2024 00:56 β π 1 π 0 π¬ 0 π 0
Started Wednesday with a product doc and zero Python knowledge. Ended Thursday with a working Twitter-Telegram-Airtable agent-ish automation.
It took two AI partners to get there - ChatGPT for the marathon, Claude for the finale. The barriers to building just keep crumbling.
06.12.2024 15:41 β π 0 π 0 π¬ 0 π 0
AI tools wonβt replace engineers or most white-collar workers outright, but they will redefine productivity. The bottom 50% performers may benefit most initially, while the top will remain indispensable to train and guide AI.
27.11.2024 05:33 β π 3 π 0 π¬ 0 π 0
A really intriguing set of findings of AI researchers that needs more exploration, replication, and expansion: AI agents given personalities and backgrounds, and placed into a virtual formal organization (with CEOs, VPs, etc.) outperform normal AI in doing complex tasks.
19.11.2024 14:33 β π 125 π 13 π¬ 6 π 2
Co-founder of Outseta.
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I talk about how lawyers use tech.
CEO/Founder, Gavel (www.gavel.io).
marketing strategist β helping teams and leaders to startup, grow, and scale their impact
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*82nd U.S. Attorney General
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Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
Anaconda Founder&Head of AI; created the PyData movement, PyScript, Bokeh, Datashader; Fellow @ Python Software Foundation; Center for Humane Tech
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head of product at OP Labs β’ former crypto lead at Twitter β’ @_tessr over there
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I build & teach AI stuff. Building @TakeoffAI. Learn to code & build apps with AI in our new Cursor & app courses on http://JoinTakeoff.com/courses.
