refactoring some old code of this demo I made years ago, a neural net adapting its weights to match a dataset you can modify in real time https://t.co/hkOSnW7WbH pic.twitter.com/1iY0Ll64e9
— Junior Rojas (@jrrjd) August 15, 2020
Amazon's ML University is making its online courses available to the public https://t.co/KgnQP1uXgm (https://t.co/pLKcBtl8L5)
— Hacker News 200 (@newsyc200) August 15, 2020
Great post by @a16z on the challenging economics of AI / ML + #monetisation best practices.
— Renate Nyborg (@renate) August 15, 2020
- Costs for #AI applications can be 3-5x higher than typical software products.
- Reduce costs by narrowing inputs, optimising models, consolidating data & more.https://t.co/SsFtXrtJId
This answers everything 😂 pic.twitter.com/l4WIIB7p8h
— Subrahmanyam KVJ (@SuB8u) August 15, 2020
Without formal access, a college kid got hold of @OpenAI's GPT-3 and created a fake, AI-generated blog under a fake name. Within hours, his first post reached #1 on @newsycombinator. A case study in how people could (ab)use the model in the future. https://t.co/o9tbOC9Uu5
— Karen Hao (@_KarenHao) August 14, 2020
The job of an AI developer is to fit a statistical model to a dataset, test how well the model performs on new data, and repeat. This is essentially an attempt to reign in the complexity of the real world. https://t.co/I36Euz3XjZ via @a16z
— Scott Taylor (@ScottTaylor) August 14, 2020
How to build #products for power users: https://t.co/oO6Nruyrgy @a16z
— Product Manager HQ (@prodmanagerhq) August 13, 2020
