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Update #40: AI's Year in Review and In-Context Learning as Gradient Descent
 • daniel bashir, Derek Lim, and Tanmay Agarwal
6
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
 • The Gradient and Cole Frank
1
Mamba Explained
 • Kola 🔑
4
2024 in AI, with Nathan Benaich
 • daniel bashir
2
Financial Market Applications of LLMs
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
🔮 From ChatGPT to a billion agents
2025 will be the year of agents
Published on Exponential View • 
Some Changes at The Gradient
How we're scaling back a bit to keep things sustainable
 • 
daniel bashir
, 
Hugh Zhang
, and 
Andrey Kurenkov
5
34:24
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?"
 • 
The Gradient
 and 
Cole Frank
1
Jacob Andreas: Language, Grounding, and World Models
On grounding, language and the world, agents, and world models.
 • 
daniel bashir
1:52:42
Evan Ratliff: Our Future with Voice Agents
On things that are not what they seem; and reflections on the Longform Podcast.
 • 
daniel bashir
1:19:58
Meredith Ringel Morris: Generative AI's HCI Moment
On distinctions between fields, technological determinism, disability and AI, and why generative AI research needs more humanism.
 • 
daniel bashir
3
1:37:44
Update #83: AI Music Fraud and PlanSearch
We look at the mechanics of AI-assisted music streaming fraud; researchers develop a new algorithm for LLM code generation that leverages inference time…
 • 
Cole Frank
The Gradient
The Gradient
Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.
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