Dec 07, 2022

The Batch - AI News & Insights: One of the dangers of large language models (LLMs) is that they can confidently make assertions that are blatantly false. This raises worries that they will flood the world with misinformation. If they could moderate their degree of confidence appropriately...

If a robot can predict what it’s likely to see next, it may have a better basis for choosing an appropriate action — but it has to predict quickly. Transformers, for all their utility in computer vision, aren’t well suited to this because of their steep computational and memory requirements...

Too exhausted (or unimaginative) to tell your child a bedtime story? Amazon’s smart displays can spin bespoke tales on demand. A feature called Create with Alexa generates children’s stories complete with illustrations, music, and sound effects on the Amazon Echo Show device.

The demise of cryptocurrency exchange FTX threatens funding for some teams devoted to AI safety. FTX, the $32 billion exchange that plunged into bankruptcy last month amid allegations of fraud, had given or promised more than $530 million to over 70 AI-related organizations.

Members of the AI community tested the limits of the ChatGPT chatbot, unleashing an avalanche of tweets that made for sometimes-great, sometimes-troubling entertainment.

One of the dangers of large language models (LLMs) is that they can confidently make assertions that are blatantly false. This raises worries that they will flood the world with misinformation. If they could moderate their degree of confidence appropriately, they would be less likely to mislead.