Neurosymbolic AI as an antithesis to scaling laws | PNAS Nexus | Oxford Academic

Alvaro Velasquez, Neel Bhatt, Ufuk Topcu, Zhangyang Wang, Katia Sycara, Simon Stepputtis, Sandeep Neema, Gautam Vallabha, Neurosymbolic AI as an antithesis to scaling laws, PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf117, https://doi.org/10.1093/pnasnexus/pgaf117 Competing Interest: The authors declare no competing interest. Alvaro Velasquez, Neel Bhatt, Ufuk Topcu, Zhangyang Wang, Katia Sycara, Simon Stepputtis, Sandeep Neema, Gautam Vallabha, Neurosymbolic AI as an antithesis to scaling laws, PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf117, https://doi.org/10.1093/pnasnexus/pgaf117 The recent progress in machine learning has shifted the trends in artificial intelligence (AI) toward an overreliance on increasing amounts of data, computing power, and model parameters. These trends have resulted in success, but have also created a monolithic perspective for AI, increased the barriers to entry outside of large tech companies, and raised concerns about computational sustainability. Ne

Alvaro Velasquez, Neel Bhatt, Ufuk Topcu, Zhangyang Wang, Katia Sycara, Simon Stepputtis, Sandeep Neema, Gautam Vallabha, Neurosymbolic AI as an antithesis to scaling laws, PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf117, https://doi.org/10.1093/pnasnexus/pgaf117 Competing Interest: The authors declare no competing interest. Alvaro Velasquez, Neel Bhatt, Ufuk Topcu, Zhangyang Wang, Katia Sycara, Simon Stepputtis, Sandeep Neema, Gautam Vallabha, Neurosymbolic AI as an antithesis to scaling laws, PNAS Nexus, Volume 4, Issue 5, May 2025, pgaf117, https://doi.org/10.1093/pnasnexus/pgaf117 The rec