Amie Pollack
@amiepollack.bsky.social
I make technology work for businesses | Optimizing workflows & systems | prev head of content @makerpad (acq. by @zapier)
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.
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.
December 13, 2024 at 12:56 AM
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.
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.
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.
It took two AI partners to get there - ChatGPT for the marathon, Claude for the finale. The barriers to building just keep crumbling.
December 6, 2024 at 3:41 PM
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.
It took two AI partners to get there - ChatGPT for the marathon, Claude for the finale. The barriers to building just keep crumbling.
AI tools won’t 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.
November 27, 2024 at 5:33 AM
AI tools won’t 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.
Reposted by Amie Pollack
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.
November 19, 2024 at 2:33 PM
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.