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Machine Learning
Range Over Depth: Reflections on the Role of the Data Generalist
I wrote a piece on Towards Data Science: “Range in depth – the generalist's value in your data group.” 1…
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ANI
5 Best Books for Building Agent AI Systems in 2026
Photo by Editor # Introduction There is no denying that agent AI is moving fast. In the past year, many…
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Machine Learning
I Built a Tiny Computer Inside a Transformer
transformers and hope useful pattern-recognition circuits emerge inside them. But what if we already knew the circuit? What if, instead…
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Generative AI
A Beginner's Guide to Building a DuckDB-Python Analysis Pipeline with SQL, Data Frames, Parquet, UDFs, and Performance Profiling
In this course, we build a comprehensive, hands-on understanding DuckDB-Python by using its features directly through code in Colab. We…
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Generative AI
MiniMax Releases MMX-CLI: A Command-Line Interface That Gives AI Agents Native Access to Image, Video, Speech, Music, Vision, and Search
MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI – a command line interface based…
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Self Aware
Iris Murdoch on the Angst of not knowing Us and Each Other – The Marginalian
One of the hardest things to learn in life is that the heart is a clock that is too fast…
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Generative AI
Microsoft VibeVoice Hands-On Coding Tutorial Including ASR-Aware Speaker, Real-Time TTS, and Speech-to-Speech Pipelines
In this lesson, we explore Microsoft VibeVoice in Colab and build a complete workflow for both speech recognition and real-time…
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Reactive Machines
Cram Less to Fit More: Training Data Pruning Improves Memorization
This paper was accepted at the ICLR 2026 Workshop on Navigating and Addressing Basic Model Data Problems. Major linguistic models…
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Generative AI
Meta AI and KAUST Researchers Propose Neural Computers That Wrap Computation, Memory, and I/O into a Single Learned Model
Researchers from Meta AI and King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) – a…
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Generative AI
Implementation of MolmoAct Coding for Deep Inference Spatial Awareness, Visual Tracking, and Robot Action Prediction
class MolmoActVisualizer: """Visualization utilities for MolmoAct outputs""" def __init__(self, figsize: Tuple[int, int] = (12, 8)): self.figsize = figsize self.colors =…
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