Sources
Chomba BupeThe consensus among serious researchers, engineers & practitioners was always that scale is not enough. Training ever larger statistical models was never going to lead to intelligence in machines. https://t.co/37zkv1h6iN
Haider.Scaling is not enough to reach AGI A new architecture is important to generalize new tasks, without it, AGI remains far away next year. The only good thing is increased funding for AI research, but achieving AGI requires an entirely new system.
Dr Efi PylarinouCommon way to test for leaks in large language models may be flawed https://t.co/T5k9i4thHO #AIResearch #MachineLearning #LanguageModels #ArtificialIntelligence #DataScience #ModelTesting #AIFlaws #TechDiscussion #ResearchInsights #ComputationalLinguistics https://t.co/xHEJo0xUnb





