DeepMind’s big losses, and the questions around running an AI lab <https://venturebeat.com/2020/12/27/deepminds-big-losses-and-the-questions-around-running-an-ai-lab/amp/>
According to the article, the losses in the hundreds of millions per year are primarily due to the high costs of: 1. intensive use of its parent company's deep learning hardware (despite probaby being used at a discount), and 2. top talent in machine learning/AI which sometimes command 7 figure salaries. So I have a suggestion for Shane Legg: Divert a mere 1% per year of the company's budget to increasing the underwriting for The Hutter Prize For Lossless Compression of Human Knowledge. This addresses both of the cost centers by discovering: 1. Machine learning algorithms that reduce hardware requirements. 2. Undervalued talented individuals from anywhere in the world. Not a penny of this gets spent without advancing, in an objectively verifiable manner, both of these cost-reductions. Moreover, if anyone should _get_ this, it should be Shane Legg -- a founder of DeepMind. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tee75800a5ab37f5b-M7f8659eb51da74498e12cf62 Delivery options: https://agi.topicbox.com/groups/agi/subscription
