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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
Mamba Explained
 • Kola 🔑
6
Financial Market Applications of LLMs
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
2023 in AI, with Nathan Benaich
 • daniel bashir
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
 • The Gradient and Cole Frank
1
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
Mini-Update #47: First International AI Safety Treaty and the WavTokenizer Codec
The UK signs on to the first international AI safety treaty and a novel audio codec model allows for high-quality information transmission in fewer…
 • 
Ather Fawaz
 and 
Jonathan Xue
What's Missing From LLM Chatbots: A Sense of Purpose
Kenneth Li argues that LLM chatbots are missing a "goal" for each conversation and proposes fixing this with human-in-the-loop model evaluations.
 • 
Hugh Zhang
Davidad Dalrymple: Towards Provably Safe AI
On provably safe and beneficial AI and the UK's new research funding agency.
 • 
daniel bashir
1:20:50
Clive Thompson: Tales of Technology
On writing about the climate, theories of change, the anthropology of technologists, and where AI might be going.
 • 
daniel bashir
2:27:34
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The Gradient
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