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Sewon Min: The Science of Natural Language
On developing practical natural language processing systems, benchmarks in NLP, text retrieval, and the limitations and promise of language models.
daniel bashir
Mar 23
7
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Sewon Min: The Science of Natural Language
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Mini-Update #13: OpenChatKit and CNNs + Tuberculosis
An open ChatGPT and convolutional neural networks predict drug resistance
Jonathan Xue
Mar 21
2
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Mini-Update #13: OpenChatKit and CNNs + Tuberculosis
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Richard Socher: Re-Imagining Search
On neural networks for language, leading Salesforce Research, research and management in AI, and taking on the only game in town with a new search…
daniel bashir
Mar 16
9
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Richard Socher: Re-Imagining Search
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Update #45: Baidu's ChatGPT Rival and Machine Love
Baidu announces Ernie Bot + a history of US-China AI competition, and Joel Lehman explores a notion of love fit for machines to embody.
Derek Lim
,
Tanmay Agarwal
, and
daniel bashir
Mar 14
4
2
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Update #45: Baidu's ChatGPT Rival and Machine Love
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Joe Edelman: Meaning-Aligned AI
How technology sometimes fails us, and how we can make it more human.
Joe Edelman
and
daniel bashir
Mar 9
7
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Joe Edelman: Meaning-Aligned AI
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Mini-Update #12: Planning for AGI and Images as Sets of Points
OpenAI issues a statement on AGI and researchers develop a new paradigm for visual representation.
Ather Fawaz
and
Jonathan Xue
Mar 7
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Mini-Update #12: Planning for AGI and Images as Sets of Points
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Ed Grefenstette: Language, Semantics, Cohere
On distributional semantics, pragmatics and communication, grounding and consciousness, and leading ML at Cohere.
daniel bashir
Mar 2
5
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Ed Grefenstette: Language, Semantics, Cohere
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February 2023
Update #44: Challenges for Personal Robotics and Cheaply Poisoning Web-Scale Datasets
Everyday Robots' shutdown is indicative of broader troubles personal robotics companies face; researchers find inexpensive ways to poison datasets used…
Tanmay Agarwal
,
Derek Lim
, and
daniel bashir
Feb 28
10
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Update #44: Challenges for Personal Robotics and Cheaply Poisoning Web-Scale Datasets
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Ken Liu: What Science Fiction Can Teach Us
On fiction's value, critical reflection on technology, LLMs for creativity, and looking toward the future.
daniel bashir
Feb 23
10
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Ken Liu: What Science Fiction Can Teach Us
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Mini-Update #11: Bing off the Rails and Discovering Optimization Algorithms
In which we discuss what happens when you talk to Bing for too long and a new optimization algorithm discovered using genetic search.
Ather Fawaz
and
Jonathan Xue
Feb 23
1
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Mini-Update #11: Bing off the Rails and Discovering Optimization Algorithms
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A 20k Subscriber Thank You
What this thing is / what can we do for you?
The Gradient
Feb 20
4
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A 20k Subscriber Thank You
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Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs
On lottery tickets and forgetting in neural networks, endowing LLMs with algorithmic reasoning, and ML research culture.
daniel bashir
Feb 16
1
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Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs
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