The Sequence Opinion #514: What is Mechanistic Interpretability?
Was this email forwarded to you? Sign up here The Sequence Opinion #514: What is Mechanistic Interpretability?Some observations into one of the hottest areas of AI research.
Interpretability in the context of foundation models refers to our ability to understand and explain how these large-scale neural networks make decisions. These models, including large language and vision-language models, often function as complex "black boxes," meaning their internal reasoning steps remain opaque. Achieving interpretability is crucial for multiple reasons, particularly in AI safety and alignment. It enables us to verify that a model isn’t pursuing unintended goals or harboring hidden biases. Additionally, interpretability aids in debugging models by allowing engineers to diagnose errors more effectively than treating models as opaque artifacts. Given the widespread deployment of foundation models, interpretability has become a key factor in ensuring trustworthiness and control, allowing users to calibrate their trust in AI systems that will be ubiquitous in society. The Rise of Mechanistic Interpretability...Subscribe to TheSequence to unlock the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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The Sequence Engineering #513: A Deep Dive Into OpenAI's New Tools for Developing AI Agents
Wednesday, March 19, 2025
Responses API, file and web search and multi agent coordination are some of the key capabilities of the new stack. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The Sequence Knowledge #512: RAG vs. Fine-Tuning
Tuesday, March 18, 2025
Exploring some of the key similarities and differences between these approaches. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The Sequence Engineering #508: AGNTCY, the Agentic Framework that Brought LangChain and LlamaIndex Together
Tuesday, March 18, 2025
The new framework outlines the foundation for the internet of agents. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The Sequence Opinion #509: Is RAG Dying?
Tuesday, March 18, 2025
Long context windows, fine tuning and other trends are challenging the viability of one of the most popular LLM techniques. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The Sequence Research #510: Microsoft's Muse AI can Design Entire Video Game Worlds
Tuesday, March 18, 2025
The model unlocks new possibilities in gameplay design. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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