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Yann LeCun on his Start in Research and Self-Supervised Learning
An interview with Professor LeCun about his early days in AI research during the 80s and recent developments in self-supervised learning for computer…
Aug 5, 2021
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Yann LeCun on his Start in Research and Self-Supervised Learning
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Explain Yourself - A Primer on ML Interpretability & Explainability
On the intersection of causality and interpretability, exciting and promising research areas in the field of Machine Learning
Nov 13, 2021
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Explain Yourself - A Primer on ML Interpretability & Explainability
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Gradient Update #3: New in Reinforcement Learning - Chip Design and Transformers
as well as other news, papers, and tweets in the AI world!
Jun 27, 2021
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Gradient Update #3: New in Reinforcement Learning - Chip Design and Transformers
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Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment
An interview with Connor Leahy, an AI researcher focused on understanding large AI models and aligning them to human values, and a co-founder of…
Feb 3
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Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment
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Max Woolf: Data Science at BuzzFeed and AI Content Generation
A conversation with Max Woolf, Data Scientist at BuzzFeed and developer of tooling for AI content generation
Jun 16
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Max Woolf: Data Science at BuzzFeed and AI Content Generation
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Gradient Update #4: OpenAI's Copilot and DeepMind on Reward and AGI
as well as other news, papers, and tweets in the AI world!
Jul 10, 2021
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Gradient Update #4: OpenAI's Copilot and DeepMind on Reward and AGI
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Gradient Update #1: FBI Usage of Facial Recognition and Rotary Embeddings For Large LM's
as well as other news, papers, and memes, and tweets in the AI world!
May 15, 2021
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Gradient Update #1: FBI Usage of Facial Recognition and Rotary Embeddings For Large LM's
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Gradient Update #23: DALL-E 2 and Grounding Language in Robotic Affordances
In which we discuss how DALL-E 2's potential uses are influenced by OpenAI's business model and an exciting method that allows language model outputs to…
Apr 26
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Gradient Update #23: DALL-E 2 and Grounding Language in Robotic Affordances
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Gradient Update #25: Algorithmic Child Neglect Screening and A Generalist Agent
In which we discuss concerns about an algorithm that predicts child neglect and DeepMind's Gato.
May 24
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Gradient Update #25: Algorithmic Child Neglect Screening and A Generalist Agent
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The Gradient Update #17: OpenAI's InstructGPT is less toxic than GPT-3, Facebook introduces data2vec to tackle learning from speech, vision…
In which we cover OpenAI's new paper on fine-tuning GPT-3 with human feedback, Facebook's new paper that presents a single algorithm that can work on…
Feb 2
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The Gradient Update #17: OpenAI's InstructGPT is less toxic than GPT-3, Facebook introduces data2vec to tackle learning from speech, vision, and language
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Eric Jang on Robots Learning at Google and Generalization via Language
An interview with Eric Jang, a research scientist on the Robotics team at Google, who focuses on robotic manipulation and self-supervised robotic…
Jan 8
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Eric Jang on Robots Learning at Google and Generalization via Language
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Gradient Update #5: AI generated art and AlphaFold
Hackers use VQGAN + CLIP to generate art. Deepmind solves a grand challenge in biology.
Jul 27, 2021
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Gradient Update #5: AI generated art and AlphaFold
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