Archive - The Gradient

Update #40: AI's Year in Review and In-Context Learning as Gradient Descent

Selected trends from a speedy year in AI, and the relationship between in-context learning and gradient descent

Jan 3, 2023 •

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, and

Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research

Henry Kvinge asks "What is the Role of Mathematics in Modern Machine Learning?"

Nov 16, 2024 •

and

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, 2024 •

AGI is Not Multimodal

Benjamin Spiegel on what disembodied definitions of AGI miss

Jun 4 •

Benjamin A. Spiegel

and

2024 in AI, with Nathan Benaich

all the (AI) news that's fit to print (record).

Dec 26, 2024 •

1:48:43

Financial Market Applications of LLMs

An article contributed by Richard Dewey, Co-founder and CEO of Proven, and Ciamac Moallemi, a William von Mueffling Professor of Business at Columbia…

Apr 20, 2024

Deep learning for single-cell sequencing: a microscope to see the diversity of cells

On how Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.

Jan 13, 2024

2023 in AI, with Nathan Benaich

A roundup of what happened in AI this year

Dec 28, 2023 •

1:35:37

Some Changes at The Gradient

How we're scaling back a bit to keep things sustainable

Nov 21, 2024 •

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, and

Andrey Kurenkov

34:24

Update #69: Gemini Overcompensates for Bias and Missing Details in Sora

Gemini sparks AI culture wars and OpenAI releases a state-of-the-art video generation model.

Feb 27, 2024 •

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Jacob Andreas: Language, Grounding, and World Models

On grounding, language and the world, agents, and world models.

Oct 10, 2024 •

1:52:42

Philip Goff: Panpsychism as a Theory of Consciousness

On phenomenal transparency, physicalism vs. anti-physicalism, hybrid cosmopsychism and its assumptions

Dec 12, 2024 •

1:00:04

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