artificial intelligence – Page 3 – Andrew Fairless, Ph.D.

What I Read: Problems of AI Consciousness

By Andrew Fairless on December 4, 2023October 5, 2023

https://thegradient.pub/an-introduction-to-the-problems-of-ai-consciousness/ An Introduction to the Problems of AI ConsciousnessNick Alonso9/30/23 “This brief introduction is aimed at those working within the AI community who are interested in AI consciousness, but mayContinue readingWhat I Read: Problems of AI Consciousness

What I Read: scaling laws, cross-entropy loss

By Andrew Fairless on September 28, 2023September 4, 2023

https://epochai.org/blog/the-direct-approach The Direct ApproachMatthew Barnett and Tamay Besiroglu “Empirical scaling laws can help predict the cross-entropy loss associated with training inputs, such as compute and data. However, in order toContinue readingWhat I Read: scaling laws, cross-entropy loss

What I Read: LLMs in Planning

By Andrew Fairless on September 25, 2023September 4, 2023

https://youtu.be/BmyB-4S9QuYAvenging Polanyi’s Revenge (Exploiting the Approximate Omniscience of LLMs in Planning..)Subbarao KambhampatiAug 1, 2023 “…we have to stop confusing the impressive form of the generated knowledge for correct content, andContinue readingWhat I Read: LLMs in Planning

What I Read: Economic Case for Generative AI

By Andrew Fairless on September 21, 2023September 4, 2023

https://a16z.com/2023/08/03/the-economic-case-for-generative-ai-and-foundation-models/ The Economic Case for Generative AI and Foundation Modelsby Martin Casado and Sarah Wang “…we believe there’s a very strong argument that generative AI is not only economically viable,Continue readingWhat I Read: Economic Case for Generative AI

What I Read: LLMs

By Andrew Fairless on September 7, 2023August 1, 2023

https://willthompson.name/what-we-know-about-llms-primer What We Know About LLMs (Primer)Will Thompson (Twitter)July 23, 2023 “…it is worth reflecting on what we concretely know about LLMs at this point in time and how theseContinue readingWhat I Read: LLMs

What I Read: shape of AGI

By Andrew Fairless on August 29, 2023July 30, 2023

https://windowsontheory.org/2023/07/17/the-shape-of-agi-cartoons-and-back-of-envelope/?1 The shape of AGI: Cartoons and back of envelopeBoaz BarakJuly 17, 2023 “AIs are not “silicon humans.””

What I Read: artificial intelligence really hard

By Andrew Fairless on August 16, 2023July 9, 2023

https://thegradient.pub/why-transformative-artificial-intelligence-is-really-really-hard-to-achieve/ Why transformative artificial intelligence is really, really hard to achieveArjun Ramani and Zhengdong Wang26.Jun.2023“1. The transformational potential of AI is constrained by its hardest problems

What I Read: Ways Digital Minds Know

By Andrew Fairless on August 8, 2023July 9, 2023

https://moultano.wordpress.com/2023/06/28/the-many-ways-that-digital-minds-can-know/ The Many Ways that Digital Minds Can KnowRyan Moulton “…aspects of search engine quality are better analogies to describe the properties of LLMs than “generalization” and “memorization” are, andContinue readingWhat I Read: Ways Digital Minds Know

What I Read: Systems of Intelligence, defensible business model

By Andrew Fairless on August 7, 2023July 9, 2023

https://greylock.com/greymatter/the-new-new-moats/ The New New MoatsWhy Systems of Intelligence are still the next defensible business modelby: Jerry Chen06.21.2023 “Orienting oneself amid this Cambrian explosion of AI startups requires asking a basicContinue readingWhat I Read: Systems of Intelligence, defensible business model

Tag: artificial intelligence