Cover Image

Increased Compute Efficiency and the Diffusion of AI Capabilities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pilz, Konstantin, Heim, Lennart, Brown, Nicholas
Format:	Preprint
Published:	2023
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trends in AI Supercomputers
by: Pilz, Konstantin F., et al.
Published: (2025)

Training Compute Thresholds: Features and Functions in AI Regulation
by: Heim, Lennart, et al.
Published: (2024)

Designing Incident Reporting Systems for Harms from General-Purpose AI
by: Wei, Kevin, et al.
Published: (2025)

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment
by: Baker, Mauricio, et al.
Published: (2025)

Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation
by: Heim, Lennart, et al.
Published: (2024)

Prompting Diverse Ideas: Increasing AI Idea Variance
by: Meincke, Lennart, et al.
Published: (2024)

Societal Adaptation to Advanced AI
by: Bernardi, Jamie, et al.
Published: (2024)

Computing Power and the Governance of Artificial Intelligence
by: Sastry, Girish, et al.
Published: (2024)

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?
by: Besiroglu, Tamay, et al.
Published: (2024)

Administrative Law's Fourth Settlement: AI and the Capability-Accountability Trap
by: Caputo, Nicholas
Published: (2026)

Responsible Reporting for Frontier AI Development
by: Kolt, Noam, et al.
Published: (2024)

Visibility into AI Agents
by: Chan, Alan, et al.
Published: (2024)

Strategies for Increasing Corporate Responsible AI Prioritization
by: Wang, Angelina, et al.
Published: (2024)

A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts
by: Chouldechova, Alexandra, et al.
Published: (2024)

Third-party compliance reviews for frontier AI safety frameworks
by: Homewood, Aidan, et al.
Published: (2025)

Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
by: Allaham, Mowafak, et al.
Published: (2024)

A Capability Approach to AI Ethics
by: Ratti, Emanuele, et al.
Published: (2025)

Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations
by: Charnock, Jacob, et al.
Published: (2026)

Developing Strategies to Increase Capacity in AI Education
by: Cowit, Noah Q., et al.
Published: (2025)

Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk
by: Fang, Xinmin, et al.
Published: (2025)

The AI Pyramid A Conceptual Framework for Workforce Capability in the Age of AI
by: Khatri, Alok, et al.
Published: (2026)

Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset
by: Gupta, Ritwik, et al.
Published: (2024)

Enabling Frontier Lab Collaboration to Mitigate AI Safety Risks
by: Felstead, Nicholas
Published: (2025)

Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark
by: Götting, Jasper, et al.
Published: (2025)

Will we run out of data? Limits of LLM scaling based on human-generated data
by: Villalobos, Pablo, et al.
Published: (2022)

A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
by: Cesaroni, Valeria, et al.
Published: (2025)

AI-Enabled Rent-Seeking: How Generative AI Alters Market Transparency and Efficiency
by: Zhang, Yukun, et al.
Published: (2025)

The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?
by: Demichelis, Remy
Published: (2024)

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
by: Bengio, Yoshua, et al.
Published: (2025)

From School AI Readiness to Student AI Literacy: A National Multilevel Mediation Analysis of Institutional Capacity and Teacher Capability
by: Guan, Xiu, et al.
Published: (2026)

Community Driving-Safety Deterioration as a Push Factor for Public Endorsement of AI Driving Capability
by: Rafe, Amir, et al.
Published: (2026)

(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
by: Caputo, Nicholas
Published: (2025)

The AI Risk Spectrum: From Dangerous Capabilities to Existential Threats
by: Grey, Markov, et al.
Published: (2025)

Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation
by: Mogavi, Reza Hadi, et al.
Published: (2024)

Efficiency Will Not Lead to Sustainable Reasoning AI
by: Wiesner, Philipp, et al.
Published: (2025)

Computer Vision in Tactical AI Art
by: Grba, Dejan
Published: (2026)

Efficiency vs Demand in AI Electricity: Implications for Post-AGI Scaling
by: Kim, Doyi, et al.
Published: (2026)

What are the limits to biomedical research acceleration through general-purpose AI?
by: Hebenstreit, Konstantin, et al.
Published: (2025)

Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media
by: Allaham, Mowafak, et al.
Published: (2025)

Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
by: Allaham, Mowafak, et al.
Published: (2025)