#interpretability research
239 related articles
·6 min
The Complete Guide to Using Claude in China: In-Depth Comparison of 4 Solutions and How to Choose
How can users in China use Claude? This article deeply compares four solutions: official subscription, proxy subscription (WildCard), relay platforms (2233/0011.ai), and API aggregation (OpenRouter).
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·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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Kronos Financial Foundation Model: Usi…
·7 min
Kronos Financial Foundation Model: Using AI to Read the Market Language of Candlesticks
Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.
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·2 min
Gemini 3.5 Pro Rebuilt from Scratch: Delays, Talent Exodus, and the AI Competition Landscape
Gemini 3.5 Pro was rebuilt from scratch due to gaps in math reasoning and SVG generation, as four senior Google researchers joined Anthropic. A deep dive into the technical and talent implications.
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"AI Is Just a Tool"? This Phrase Is Hi…
·3 min
"AI Is Just a Tool"? This Phrase Is Hiding a Dangerous Cognitive Trap
"AI is just a tool" sounds rational but conceals real dangers. This article dissects the limits of tool neutrality, design-embedded values, and misplaced responsibility in AI systems.
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Paying $65,000 to Join Anthropic? The …
·2 min
Paying $65,000 to Join Anthropic? The Hidden Costs of Breaking Into Top AI Labs
Hacker News debate: what are the real hidden costs of joining Anthropic or OpenAI? We break down elite barriers, IPO equity expectations, and opportunity inequality in the AI talent war.
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The Wild Juxtaposition of AI's Evoluti…
·2 min
The Wild Juxtaposition of AI's Evolution: What Has Technology Crossed From Start to Now?
A "How it started vs. How it's going" comparison reveals generative AI's stunning leap. We explore the key drivers—compute, data, algorithms, and open source—plus the real challenges ahead.
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·4 min
Former OpenAI Researcher Warns: 70% Chance AI Spins Out of Control
Former OpenAI researcher Daniel Kokotajlo, who forfeited $2M in equity, warns of a 70% chance AI leads to catastrophic outcomes and superintelligence by 2029.
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·3 min
Zero-Code Research: Using AI Agents to Run Complete Machine Learning Experiments
No coding required: use AI agents like Codex and Claude Code to complete full ML experiments via natural language. A real case study with a heart disease dataset.
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·3 min
No-Code Research: Using AI Coding Tools to Complete the Full Machine Learning Pipeline
No coding skills? No problem. Learn how AI tools like Codex and Claude Code let researchers complete ML workflows — data cleaning, model training, visualization — using only natural language.
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·3 min
Interpretability: The Science and Practice of Opening the Neural Network Black Box
Why do neural networks make the decisions they do? This article explores AI interpretability — mechanistic interpretability, CoT monitoring, and safety auditing — and how researchers reverse-engineer large models for AI safety.
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·6 min
Multimodal and Embodied Intelligence: A Comprehensive Look at Progress, Pitfalls, and Opportunities
At the Microsoft Research India summit, top experts explore the real progress of multimodal AI and embodied intelligence: fusing classical robotics with large models, healthcare AI deployment challenges, perceptual bottlenecks in reasoning, and possibilities beyond scaling.
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How Does AI Track Ancient Roman Thieve…
·2 min
How Does AI Track Ancient Roman Thieves? A Deep Dive into Antigravity's Historical Reasoning
Google Antigravity's 'Predicting the Past' skill tracks Roman thefts, maps ancient cult diffusion across Europe, and reconstructs Greek oracle social networks — revealing AI's transformative potential for humanities research.
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Three Core Gaps in Multimodal LLMs: Fr…
·4 min
Three Core Gaps in Multimodal LLMs: Frontier Research from Microsoft Research India
Microsoft Research India reveals three core gaps in multimodal LLMs: visual perception blindspots, cognitive hallucination, and architectural limitations. Explores Faithful GRPO, behavior modeling, and model alignment breakthroughs.
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·2 min
JEPA World Model Deep Dive: Promise and Controversy
JEPA is LeCun's world model architecture that predicts in abstract embedding space rather than pixels. This article analyzes JEPA's core ideas, differences from generative world models, and key controversies including representation collapse, decodability, and lack of empirical results.
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·3 min
SJTU Professors Open-Source Agent Tutorial: A Four-Stage Path from Zero to AI Engineer
SJTU professors open-source a 4-stage Agent tutorial on GitHub, covering LLM basics, ReAct, multi-agent systems, and real-world projects — a practical path to AI engineering.
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MIT Breakthrough: Detecting Illegal Tr…
·2 min
MIT Breakthrough: Detecting Illegal Training Data in AI Models Without Generating Any Content
MIT researchers propose a novel AI detection method that identifies models trained on CSAM and other illegal data by analyzing internal features — no content generation required.
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·2 min
Dissecting a Single Convolutional Neuron: A New Approach to Mechanistic Interpretability
An independent researcher dissects a single 1×1 convolutional neuron in InceptionV1, using Hadamard product clustering to reveal detection patterns and discovers how gradient descent hides concepts in noise.
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·2 min
Vibe Coding in Practice: AI Agents Complete Full Research Experiments in Minutes
No coding required — just describe your needs in natural language. AI Agents handle data cleaning, model training, and visualization automatically. We tested Codex and Claude Code on a heart disease prediction task.
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Hassabis's AI Safety Blueprint: How De…
·2 min
Hassabis's AI Safety Blueprint: How DeepMind Is Tackling the Risks of Superintelligence
Demis Hassabis outlines a multi-layered AI safety framework covering technical alignment, institutional governance, and international cooperation for the AGI era.
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