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After Orthogonality: Virtue-Ethical Agency and AI Alignment
The Gradient 🧠 Large Language Models ⚡ AI Lesson 1mo ago
After Orthogonality: Virtue-Ethical Agency and AI Alignment
Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct th
AGI Is Not Multimodal
The Gradient ⚡ AI Lesson 9mo ago
AGI Is Not Multimodal
"In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry Winograd The
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
The Gradient ⚡ AI Lesson 1y ago
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involvin
What's Missing From LLM Chatbots: A Sense of Purpose
The Gradient 🧠 Large Language Models ⚡ AI Lesson 1y ago
What's Missing From LLM Chatbots: A Sense of Purpose
LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonn
We Need Positive Visions for AI Grounded in Wellbeing
The Gradient 🧠 Large Language Models ⚡ AI Lesson 1y ago
We Need Positive Visions for AI Grounded in Wellbeing
Introduction Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes c
Financial Market Applications of LLMs
The Gradient 🧠 Large Language Models ⚡ AI Lesson 1y ago
Financial Market Applications of LLMs
The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer produc
A Brief Overview of Gender Bias in AI
The Gradient ⚡ AI Lesson 1y ago
A Brief Overview of Gender Bias in AI
A brief overview and discussion on gender bias in AI
Mamba Explained
The Gradient ⚡ AI Lesson 2y ago
Mamba Explained
Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models
Car-GPT: Could LLMs finally make self-driving cars happen?
The Gradient 🧠 Large Language Models ⚡ AI Lesson 2y ago
Car-GPT: Could LLMs finally make self-driving cars happen?
Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?
Do text embeddings perfectly encode text?
The Gradient ⚡ AI Lesson 2y ago
Do text embeddings perfectly encode text?
'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols aroun
Why Doesn’t My Model Work?
The Gradient ⚡ AI Lesson 2y ago
Why Doesn’t My Model Work?
Have you ever trained a model you thought was good, but then it failed miserably when applied to real world data? If so, you’re in good company.
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
The Gradient ⚡ AI Lesson 2y ago
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
On the the pivotal role that Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.
Salmon in the Loop
The Gradient ⚡ AI Lesson 2y ago
Salmon in the Loop
On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.
Neural algorithmic reasoning
The Gradient 🧠 Large Language Models ⚡ AI Lesson 2y ago
Neural algorithmic reasoning
In this article, we will talk about classical computation : the kind of computation typically found in an undergraduate Computer Science course on Algorithms an
The Artificiality of Alignment
The Gradient 🧠 Large Language Models ⚡ AI Lesson 2y ago
The Artificiality of Alignment
This essay first appeared in Reboot . Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have