Archive - The Gradient

Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts

On the carbon costs of ML systems, societal representations in diffusion models, and a metaethical perspective on AI ethics.

9 hrs ago •

1:03:06

Mini-Update #39: 2024 AI Index Report and Autonomous Driving Detection

Stanford publishes its most comprehensive AI index report and researchers develop new methods of driving lane detection using sparse anchors.

Apr 16 •

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Michael Sipser: Problems in the Theory of Computation

On interesting and difficult problems, finite automata, derandomization, and P vs NP.

Apr 11 •

1:28:21

Update #72: NYC's Unfortunate Chatbot and Mixture-of-Depths

NYC's My City Chatbot makes concerning suggestions to users and DeepMind introduces a novel method for optimizing the resource allocation in transformer…

Apr 9 •

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A Brief Overview of Gender Bias in AI

A small selection of important work done (and currently being done) to uncover, evaluate, and measure different aspects of gender bias in AI models

Apr 8 •

Mini-Update #38: OpenAI's Voice Engine and LDM Scaling

OpenAI previews its Voice Engine but does not release it and Latent Diffusion Models (LDMs) show powerful capabilities at small size.

Apr 5 •

and

Andrew Lee: How AI will Shape the Future of Email

On developing a smart AI assistant, and how email clients will look in the future.

Apr 4 •

1:03:40

March 2024

Mamba Explained

Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used…

Mar 30 •

Joss Fong: Videomaking, AI, and Science Communication

On video journalism and science communication, bias in generative AI, incentives in journalism, and how video production is changing.

Mar 28 •

1:23:58

Update #71: Neuralink's First Human Trial and Controlling Language Model Hallucinations

Noland Arbaugh plays chess with his mind, and researchers find training strategies that reduce language model hallucinations.

Mar 26 •

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Mini-Update #37: xAI's Open Source Grok and Apple's MM1

xAI open sources its LLM Grok and Apple releases MM1 – a series of multimodal LLMs and the lessons learned from training them.

Mar 21 •

and

Kate Park: Data Engines for Vision and Language

On the importance of data, training for vision vs. language models, and flywheels.

Mar 21 •

41:34

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