Here's my full conversation with with @kcoleman (VP of Product) and @jaybaxter (founding ML engineer) for @CommunityNotes
MACHINE LEARNING
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Reasoning Models Training with Deep Math and Coding Problems
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Yeah I think it’s very similar! One difference I think is that in the RL they’re explicitly exposed to lots of deep math / coding problems with detailed solutions that are presumably not in the regular base model training data. And the reasoning models can expend more thinking
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AI Won’t Replace Humans: The Surprising Reason Why
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AI Won't Replace Humans – Here's The Surprising Reason Why
#AI #AIio #BigData #ML #NLU #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
Looped Transformers Enhance Reasoning Through Depth Over Parameters
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Reasoning with Latent Thoughts: On the Power of Looped Transformers This paper explores the potential of looped transformers—models that reuse the same layers multiple times—for reasoning tasks. It argues that depth, rather than parameter count, is the key driver of reasoning
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ESPnet-SpeechLM: Open Source Speech Language Model Toolkit
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ESPnet-SpeechLM: An Open Speech Language Model Toolkit ESPnet-SpeechLM is an open-source toolkit for developing Speech Language Models (SpeechLMs) and voice-driven applications. It simplifies speech processing by framing tasks as sequential modeling problems, automating data
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HVI Color Space for Low-Light Image Enhancement
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HVI: A New color space for Low-light Image Enhancement This paper introduces HVI, a new color space designed for Low-Light Image Enhancement (LLIE), addressing the color bias and brightness artifacts found in traditional RGB and HSV spaces. The authors also propose CIDNet, a
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Cost-Efficient Collaboration Between On-Device and Cloud Language Models
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Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models This paper explores a cost-efficient collaboration between small, on-device language models (LMs) and large, cloud-hosted LMs for data-intensive tasks. The MinionS protocol improves task
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Fractal Generative Models: New Self-Similar Architecture Paradigm
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Fractal Generative Models Overview: This paper introduces fractal generative models, a new paradigm where generative models are recursively structured using atomic generative modules, resulting in self-similar architectures inspired by fractals in mathematics. The framework is
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Avat3r: High-Fidelity 3D Head Avatar Creation from Images
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Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars Avat3r is a model for creating high-quality, animatable 3D head avatars from just a few images, eliminating the need for expensive multi-view capture setups. It leverages large