artificial intelligence – Andrew Fairless, Ph.D.

What I Read: Adaptive LLMs

By Andrew Fairless on April 30, 2025January 30, 2025

https://sakana.ai/transformer-squared Transformer²: Self-Adaptive LLMssakana.aiJanuary 15, 2025 “Imagine a machine learning system that could adjust its own weights dynamically to thrive in unfamiliar settings, essentially illustrating a system that evolves asContinue readingWhat I Read: Adaptive LLMs

What I Read: impossible languages

By Andrew Fairless on April 23, 2025January 18, 2025

https://www.quantamagazine.org/can-ai-models-show-us-how-people-learn-impossible-languages-point-a-way-20250113/ Can AI Models Show Us How People Learn? Impossible Languages Point a Way.Ben Brubaker1/13/25 11:00 AM “Certain grammatical rules never appear in any known language. By constructing artificial languagesContinue readingWhat I Read: impossible languages

What I Read: Age of Data

By Andrew Fairless on April 14, 2025January 5, 2025

https://amatria.in/blog/ageofdata The end of the “Age of Data”? Enter the age of superhuman data and AIXavier AmatriainDecember 24, 2024 “This post will argue that the age of data is farContinue readingWhat I Read: Age of Data

What I Read: Debate, AI

By Andrew Fairless on March 3, 2025November 16, 2024

Debate May Help AI Models Converge on Truth Debate May Help AI Models Converge on TruthStephen OrnesNovember 8, 2024 “Letting AI systems argue with each other may help expose whenContinue readingWhat I Read: Debate, AI

What I Read: LLM Agents in Production

By Andrew Fairless on December 17, 2024December 16, 2024

https://www.zenml.io/blog/llm-agents-in-production-architectures-challenges-and-best-practices LLM Agents in Production: Architectures, Challenges, and Best PracticesAlex Strick van LinschotenDec 9, 2024 “Taken together, the LLMOps case studies paint a picture of a technology that is atContinue readingWhat I Read: LLM Agents in Production

What I Read: Open-endedness, Agentic AI

By Andrew Fairless on November 13, 2024August 25, 2024

https://press.airstreet.com/p/open-endedness-is-all-well-need Open-endedness is all we’ll need: On “Agentic AI”Air Street Capital, Nathan Benaich, and Alex ChalmersAug 15, 2024 “Agentic systems offer the promise of agents – a software system thatContinue readingWhat I Read: Open-endedness, Agentic AI

What I Read: Turing Test, intelligence

By Andrew Fairless on November 12, 2024August 25, 2024

https://www.science.org/doi/10.1126/science.adq9356 The Turing Test and our shifting conceptions of intelligenceMelanie MitchellScienceVol 385, Issue 6710DOI: 10.1126/science.adq935615 Aug 2024 “It’s likely that the Turing Test will become yet another casualty of ourContinue readingWhat I Read: Turing Test, intelligence

What I Read: History, Transformer

By Andrew Fairless on October 28, 2024July 22, 2024

Shaping the Future of AI from the History of TransformerStanford CS25: V4 I Hyung Won Chung of OpenAIStanford Online “I will provide a highly-opinionated view on the early history ofContinue readingWhat I Read: History, Transformer

What I Read: Data Flywheels, LLM

By Andrew Fairless on October 17, 2024July 20, 2024

https://www.sh-reya.com/blog/ai-engineering-flywheel Data Flywheels for LLM ApplicationsShreya ShankarJul 1, 2024 “This diagram illustrates my (idealized) architecture of an LLM pipeline, from input processing through evaluation and logging. It showcases ideas I’llContinue readingWhat I Read: Data Flywheels, LLM

What I Read: What can LLMs never do?

By Andrew Fairless on October 1, 2024July 14, 2024

https://www.strangeloopcanon.com/p/what-can-llms-never-do What can LLMs never do?Rohit KrishnanApr 23, 2024 “Every time over the past few years that we came up with problems LLMs can’t do, they passed them with flyingContinue readingWhat I Read: What can LLMs never do?

Tag: artificial intelligence