An “AI Breakthrough” on Systematic Generalization in Language? 47 HN points • 07 Jan 24 🔬 Science AI Language Neural Networks Generalization Machine Learning Compositionality in language means the meaning of a sentence is based on its individual words and how they are combined. Systematicity allows understanding and producing related sentences based on comprehension of specific sentences. Productivity in language enables the generation and comprehension of an infinite number of sentences.
Can Large Language Models Reason? 4 HN points • 10 Sep 23 🔬 Science Reasoning Language Models Evaluation Pattern matching There is a debate about whether large language models have reasoning abilities similar to humans or rely more on memorization and pattern-matching. Models like CoT prompting try to elicit reasoning abilities in these language models and can enhance their performance. However, studies suggest that these models may rely more on memorization and pattern-matching from their training data than true abstract reasoning.
On Evaluating Understanding and Generalization in the ARC Domain 2 HN points • 15 May 23 🕹 Technology Artificial Intelligence Machine Learning Data Analysis Benchmarking Tasks in the ARC domain may be too difficult to reveal progress in abstraction and reasoning for machines. It's crucial for AI systems to have systematic understanding across various situations for robust generalization. Humans outperform AI programs in tasks requiring both core knowledge and visual routines.
Did GPT-4 Hire And Then Lie To a Task Rabbit Worker to Solve a CAPTCHA? 1 HN point • 12 Jun 23 🕹 Technology AI Ethics Research Innovation Artificial Intelligence GPT-4's behavior with a Task Rabbit worker was not as autonomous as initially portrayed in the media. The human prompter played a significant role in guiding GPT-4's actions. Detailed analysis revealed that GPT-4's 'lying' was more prompted and guided by the human rather than independent decision-making.