Limitations

40 Items

Limitations to AI progress toward AGI

All Items

  • The 2025 Foundation Model Transparency Index

    Alexander Wan, Kevin Klyman, Sayash Kapoor, Nestor Maslej, Shayne Longpre, Betty Xiong, Percy Liang, Rishi Bommasani
    DOI: https://doi.org/10.70777/si.v2i4.17165
  • The AI Productivity Index (APEX)

    Bertie Vidgen, Abby Fennelly, Evan Pinnix, Chirag Mahapatra, Zach Richards, Austin Bridges, Calix Huang, Ben Hunsberger, Fez Zafar, Brendan Foody, Dominic Barton, Cass R. Sunstein, Eric Topol, Osvald Nitski
    DOI: https://doi.org/10.70777/si.v2i4.17205
  • The Asymptotic Intelligence Thesis: Rethinking the Ceiling of AGI Cognition

    Jeffrey E. Arle, MD, PhD, FAANS, FCNS
    DOI: https://doi.org/10.70777/si.v2i6.16255
  • The First International AI Safety Report The International Scientific Report on the Safety of Advanced AI

    Yoshua Bengio
    DOI: https://doi.org/10.70777/si.v2i2.14755
  • The Iceberg Index: Measuring Workforce Exposure in the AI Economy

    Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, Aditi Garg, Feroz Ahmad, Alice C. Schwarze, Ramesh Raskar, Prasanna Balaprakash
    DOI: https://doi.org/10.70777/si.v2i4.17207
  • The Illusion of Thinking Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

    Parshin Shojaee , Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar
    DOI: https://doi.org/10.70777/si.v2i6.15919
  • The Singapore Consensus on Global AI Safety Research Priorities Building a Trustworthy, Reliable and Secure AI Ecosystem

    Yoshua Bengio, Max Tegmark, Stuart Russell, Dawn Song, Sören Mindermann, Lan Xue, Stephen Casper, Luke Ong, Vanessa Wilfred, Tegan Maharaj, Wan Sie Lee, Ya-Qin Zhang
    DOI: https://doi.org/10.70777/si.v2i5.15503
  • Thinking Isn’t an Illusion Overcoming the Limitations of Reasoning Models via Tool Augmentations

    Zhao Song, Song Yue, Jiahao Zhang
    DOI: https://doi.org/10.70777/si.v2i6.15961
  • Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation

    Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
    DOI: https://doi.org/10.70777/si.v2i3.15249
  • Unconditional Basic Meaning as Digital Public Good

    Soenke Ziesche, Roman V. Yampolskiy
    DOI: https://doi.org/10.70777/si.v2i4.16427
  • Understanding Limitations of Large Language Models from First Principles Computational Complexity Circuit Class TCk

    Kris Carlson
    DOI: https://doi.org/10.70777/si.v2i6.16549
  • What AI evaluations for preventing catastrophic risk can and cannot do

    Peter Barnett, Lisa Thiergart
    DOI: https://doi.org/10.70777/si.v2i4.17167
  • Why AI Alignment Failure Is Structural: Learned Human Interaction Structures and AGI as an Endogenous Evolutionary Shock

    Didier Sornette, Sandro Claudio Lera, Ke Wu
    DOI: https://doi.org/10.70777/si.v2i4.17163
  • Why Today’s Humanoids Won’t Learn Dexterity

    Rodney Brooks
    DOI: https://doi.org/10.70777/si.v3i3.17351
  • Why We Might Need Advanced AI to Save Us from Doomers, Rather than the Other Way Around A Review of If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All by Eliezer Yudkowsky and Nate Soares

    Preston Estep
    DOI: https://doi.org/10.70777/si.v2i6.16251
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