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Update #59: Generative AI in the Classroom and Next-Token Predictors as Universal Learners
We consider the benefits and drawbacks of using generative AI to help teachers and students; Eran Malach argues that auto-regressive next-token…
4 hrs ago
•
daniel bashir
,
Justin Landay
, and
Derek Lim
2
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Update #59: Generative AI in the Classroom and Next-Token Predictors as Universal Learners
thegradientpub.substack.com
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Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve
On why "AI will change the world" narratives might be less true than you think.
Sep 21
•
daniel bashir
10
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Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve
thegradientpub.substack.com
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Mini-Update #26: Schumer's AI insight forum and PagedAttention
Senator Chuck Schumer hosts the first bipartisan federal AI forum, and researchers develop an optimization to make LLMs more efficient and effective.
Sep 19
•
Ather Fawaz
and
Jonathan Xue
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Mini-Update #26: Schumer's AI insight forum and PagedAttention
thegradientpub.substack.com
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Miles Grimshaw: Benchmark, LangChain, and Investing in AI
On investing in AI through the deep learning decade, Benchmark's LangChain investment, and emerging opportunities for AI.
Sep 14
•
daniel bashir
6
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Miles Grimshaw: Benchmark, LangChain, and Investing in AI
thegradientpub.substack.com
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Update #58: Hidden Meme Messages & LLMs as Optimizers
New work develops AI techniques for encoding hidden messages in innocuous media, and a DeepMind team develops a framework for using LLMs to solve…
Sep 12
•
daniel bashir
,
Derek Lim
,
Sharut Gupta
, and
Justin Landay
7
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Update #58: Hidden Meme Messages & LLMs as Optimizers
thegradientpub.substack.com
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2
30K Subscriber Special: The Gradient Editors on Grad School
Some of our Gradient editors on their experiences in grad school!
Sep 11
•
daniel bashir
12
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30K Subscriber Special: The Gradient Editors on Grad School
thegradientpub.substack.com
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6
Text-to-CAD: Risks and Opportunities
On AI systems that accept a text prompt to produce a 3D CAD (computer-aided design) model
Sep 9
15
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Text-to-CAD: Risks and Opportunities
thegradientpub.substack.com
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Shreya Shankar: Machine Learning in the Real World
On what makes ML engineering hard and how to think about it.
Sep 7
•
daniel bashir
9
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Shreya Shankar: Machine Learning in the Real World
thegradientpub.substack.com
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Article Early Access | Text-to-CAD: Risks and Opportunities
Preview of Text-to-CAD: Risks and Opportunities for paying subscribers
Sep 5
•
The Gradient
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Article Early Access | Text-to-CAD: Risks and Opportunities
thegradientpub.substack.com
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Mini-Update #25: ChatGPT Enterprise and StableVideo
OpenAI launches a ChatGPT service for corporate use, and researchers at Microsoft release a text-driven framework for video editing.
Sep 5
•
Ather Fawaz
and
Jonathan Xue
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Mini-Update #25: ChatGPT Enterprise and StableVideo
thegradientpub.substack.com
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August 2023
Stevan Harnad: AI's Symbol Grounding Problem
On Symbol Grounding in AI systems, the Turing Test, the Chinese Room Argument, and category formation.
Aug 31
•
daniel bashir
12
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Stevan Harnad: AI's Symbol Grounding Problem
thegradientpub.substack.com
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17
Update #57: AI Powers Accessibility Tech and Faith & Fate: Limits of Transformers on Compositionality
AI systems empower paralyzed people to speak and walk again; researchers probe fundamental limitations in transformer-based language models' ability to…
Aug 29
•
daniel bashir
,
Derek Lim
, and
Sharut Gupta
6
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Update #57: AI Powers Accessibility Tech and Faith & Fate: Limits of Transformers on Compositionality
thegradientpub.substack.com
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1
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