106
1
Up the Stack: How AI's Escape from the Commodity Trap Risks Enterprise Lock-In (normaltech.ai)
4
Did Google's AI agents build an operating system for $916? (normaltech.ai)
1
Open-world evaluations for measuring frontier AI capabilities [pdf] (cruxevals.com)
1
Towards a science of AI agent reliability (normaltech.ai)
1
When AI Builds AI – Findings from a Workshop on Automation of AI R&D [pdf] (georgetown.edu)
1
The Longitudinal Expert AI Panel: Understanding Expert Views on AI [pdf] (static1.squarespace.com)
1
Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation (arxiv.org)
5
America's AI Action Plan [pdf] (whitehouse.gov)
1
Could AI slow science? Confronting the production-progress paradox (aisnakeoil.com)
36
AI as Normal Technology (knightcolumbia.org)
1
Why an overreliance on AI-driven modelling is bad for science (nature.com)
3
Is AI progress slowing down? (aisnakeoil.com)
3
We Looked at 78 Election Deepfakes. Political Misinformation Isn't an AI Problem (knightcolumbia.org)
1
Inference Scaling FLaws: The Limits of LLM Resampling with Imperfect Verifiers (arxiv.org)
12
Is the UK's liver transplant matching algorithm biased against younger patients? (aisnakeoil.com)
1
Core-Bench: Computational Reproducibility Agent Benchmark (arxiv.org)
92
AI companies are pivoting from creating gods to building products (aisnakeoil.com)
28
AI Agents That Matter (aisnakeoil.com)
1
AI Agents That Matter (arxiv.org)
85
Scientists should use AI as a tool, not an oracle (aisnakeoil.com)
2
AI safety is not a model property (aisnakeoil.com)
1
AI safety is not a model property (aisnakeoil.com)
1
On the Societal Impact of Open Foundation Models [pdf] (stanford.edu)
1
Will AI transform law? The hype is not supported by current evidence (aisnakeoil.com)
4
Generative AI's end-run around copyright won't be resolved by the courts (aisnakeoil.com)
1
Model alignment protects against accidental harms, not intentional ones (aisnakeoil.com)
2
What the executive order means for openness in AI (aisnakeoil.com)
8
The Foundation Model Transparency Index (stanford.edu)
2
Evaluating LLMs Is a Minefield (princeton.edu)
3
Does ChatGPT have a liberal bias? (aisnakeoil.com)
2
The REFORMS checklist for ML-based science (aisnakeoil.com)
20
ML is useful for many things, but not for predicting scientific replicability (aisnakeoil.com)
3
Is GPT-4 getting worse over time? (aisnakeoil.com)
1
Generative AI companies must publish transparency reports (knightcolumbia.org)
58
Twitter showed us its algorithm – what does it tell us? (knightcolumbia.org)
4
A misleading open letter about sci-fi AI dangers ignores the real risks (aisnakeoil.substack.com)
210
OpenAI’s policies hinder reproducible research on language models (aisnakeoil.substack.com)
2
GPT-4 and professional benchmarks: the wrong answer to the wrong question (aisnakeoil.substack.com)
1
URL to bibtex converter: GPT-4 code generation, GPT-3 back end (twitter.com/random_walker)
6
Understanding Social Media Recommendation Algorithms (knightcolumbia.org)
3
Artists can now opt out of generative AI. It’s not enough (aisnakeoil.substack.com)
1
The LLaMA is out of the bag. Should we expect a tidal wave of disinformation? (aisnakeoil.substack.com)
32
Against predictive optimization (princeton.edu)
4
People keep anthropomorphizing AI. Here’s why (aisnakeoil.substack.com)
2
ChatGPT is a bullshit generator. But it can still be amazingly useful (aisnakeoil.substack.com)
3
The bait and switch behind AI risk prediction tools (aisnakeoil.substack.com)
285
The availability of text generators will force positive changes to education (aisnakeoil.substack.com)
2