Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
'Sentience' Is the Wrong Discussion to Have on AI Right Now
A more important conversation would be one about human compatibility and trust.
From ACM Opinion
Can Large Language Models Be Democratized?
The very nature of large language models is undemocratic and in favor of the companies that publicize them.
From ACM Opinion
Humans and AI: Problem Finders and Problem Solvers
Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers
From ACM Opinion
Individual AI, a New Technology that Will Change Our World?
Is the next version of AI a technological symbiosis of the human brain and the computer system?
From ACM Opinion
Does AI Understand Our Language?
Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
From ACM Opinion
Why We Must Rethink AI Benchmarks
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
From ACM Opinion
Why Machine Learning Can't Understand Human Language
While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.
From ACM Opinion
Building Artificial Intelligence: Reward Is Not Enough
Rewards are not enough to build artificial intelligence, says data scientist Herbert Roitblat, countering claims from a recent paper by DeepMind scientists.
From ACM Opinion
Tesla AI Chief Says Self-Driving Cars Don't Need Lidar
Andrej Karpathy shares why the company still believes in a purely vision-based autonomous driving solution.
From ACM Opinion