We should look at Galactica's initial failure as another scientific experiment, one that can bring us one step closer to success.
TechTalks From ACM Opinion | November 23, 2022
Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers
TechTalks From ACM Opinion | February 15, 2022
Human programmers are in control but they must learn to harness the power and limits of AI-generated code
TechTalks From ACM Opinion | February 8, 2022
Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
TechTalks From ACM Opinion | December 27, 2021
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
TechTalks From ACM Opinion | December 7, 2021
While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.
TechTalks From ACM Opinion | July 12, 2021
Rewards are not enough to build artificial intelligence, says data scientist Herbert Roitblat, countering claims from a recent paper by DeepMind scientists.
TechTalks From ACM Opinion | July 8, 2021
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...TechTalks From ACM Opinion | June 3, 2021