Although chatbots such as ChatGPT, which are powered by large language models (LLMs), have some sense of time, it is conceptualized in a completely different way. As we increasingly interact with them ...
Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
When that break occurs, the mathematics behind the code moves instantly. Organizations, however, do not move so fast.
The conversational prowess of AI chatbots like ChatGPT, Gemini, and Claude appears to stem from sophisticated algorithms ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
Model collapse began as a theoretical concern but now shows up as observable degradation in tools that millions of practitioners use daily.
Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...
Making cryptography ready for post-quantum migration will require architectural planning, testing discipline, and cross-organizational coordination. ACM encourages its members to take a direct hand in ...
Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...
OpenClaw is basically a cascade of LLMs in prime position to mess stuff up if left unfettered.
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
This winter break, I decided to learn something I had never done before while using AI as my tutor. My goal was to create a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results