https://amberljc.github.io/blog.html Research articles and insights on ML systems, LLM serving, AI agents for science, and machine learning research by Jiachen (Amber) Liu. en-US jiachenliu8@gmail.com (Jiachen Liu) jiachenliu8@gmail.com (Jiachen Liu) Thu, 27 Mar 2026 00:00:00 +0000 https://amberljc.github.io/imag/nyc-amber.jpg https://amberljc.github.io/blog.html https://amberliu2.substack.com/p/i-built-an-auto-research-claw-too https://amberliu2.substack.com/p/i-built-an-auto-research-claw-too Sun, 01 Mar 2026 00:00:00 +0000 Jiachen (Amber) Liu article AI agents research automation Why fully automated research tools can be dangerously misleading, and what responsible AI-assisted research actually looks like. https://substack.com/home/post/p-189413321 https://substack.com/home/post/p-189413321 Sun, 15 Feb 2026 00:00:00 +0000 Jiachen (Amber) Liu article AI agents agent skills Why the future of AI agents is not more agents, but better skills — modular, composable capabilities that agents can learn and share. https://substack.com/home/post/p-187895121 https://substack.com/home/post/p-187895121 Sun, 01 Feb 2026 00:00:00 +0000 Jiachen (Amber) Liu article AI agents skill evolution Exploring the paradigm of agents that evolve by sharing and learning skills from each other, moving beyond static agent architectures. https://substack.com/home/post/p-183998016 https://substack.com/home/post/p-183998016 Thu, 15 Jan 2026 00:00:00 +0000 Jiachen (Amber) Liu research AI research innovation Analyzing the patterns and traits that drive breakthrough AI research, from problem selection to execution strategies. https://amberljc.github.io/blog/2026-01-10-ai-native-researchers.html https://amberljc.github.io/blog/2026-01-10-ai-native-researchers.html Sat, 10 Jan 2026 00:00:00 +0000 Jiachen (Amber) Liu article AI-native research AI agents research methodology How AI is transforming research across literature review, brainstorming, and experimentation. Why people with taste and domain knowledge benefit most from the AI-native research paradigm. https://amberljc.github.io/blog/2026-01-03-mlsys-survival.html https://amberljc.github.io/blog/2026-01-03-mlsys-survival.html Sat, 03 Jan 2026 00:00:00 +0000 Jiachen (Amber) Liu article MLSys machine learning systems research guide Practical advice for navigating machine learning systems research — from finding impactful problems to building systems that actually work. https://www.orchestra-research.com/perspectives/ai-research-skills https://amberljc.github.io/blog/2025-11-20-ai-research-skills.html Thu, 20 Nov 2025 00:00:00 +0000 Jiachen (Amber) Liu article AI research engineering skills The essential engineering skills needed for modern AI research — bridging the gap between research ideas and working systems. https://www.orchestra-research.com/perspectives/build-ai-co-scientists https://amberljc.github.io/blog/2025-11-05-why-fully-autonomous-ai-coscientists-are-useless.html Wed, 05 Nov 2025 00:00:00 +0000 Jiachen (Amber) Liu article AI co-scientists scientific research Why fully autonomous AI co-scientists fail in practice, and how to build AI systems that genuinely augment human researchers. https://www.orchestra-research.com/perspectives/agent-oriented-compute https://amberljc.github.io/blog/2025-10-9-agent-oriented-comput.html Thu, 09 Oct 2025 00:00:00 +0000 Jiachen (Amber) Liu article agent-oriented compute GPU AI infrastructure How a GPU allocation problem in an experiment agent led to rethinking compute infrastructure for the age of AI agents. https://amberljc.github.io/blog/2025-09-05-agentic-rl-systems.html https://amberljc.github.io/blog/2025-09-05-agentic-rl-systems.html Fri, 05 Sep 2025 00:00:00 +0000 Jiachen (Amber) Liu research agentic RL reinforcement learning LLM agents ML systems Exploring the shift from chat-based LLM training to agentic RL systems. Why existing RL frameworks fall short for multi-step agent tasks and how a decoupled Agent Layer solves key challenges. https://amberljc.github.io/blog/2025-06-15-my-phd-thoughts.html https://amberljc.github.io/blog/2025-06-15-my-phd-thoughts.html Sun, 15 Jun 2025 00:00:00 +0000 Jiachen (Amber) Liu article PhD ML systems career advice PhD lessons and reflections on building user-centric machine learning systems. Insights from research in ML systems, LLM serving, and federated learning at the University of Michigan. https://amberljc.github.io/blog/2025-05-11-exp-bench.html https://amberljc.github.io/blog/2025-05-11-exp-bench.html Sun, 11 May 2025 00:00:00 +0000 Jiachen (Amber) Liu research EXP-Bench AI benchmarks research automation Introducing EXP-Bench, a benchmark to evaluate AI agents' ability to conduct real AI research experiments — from setting up environments to running and interpreting results. https://amberljc.github.io/blog/2025-02-01-curie.html https://amberljc.github.io/blog/2025-02-01-curie.html Sat, 01 Feb 2025 00:00:00 +0000 Jiachen (Amber) Liu research Curie AI agents scientific research Introducing Curie, an AI agent framework that automates scientific experimentation — from hypothesis generation to experiment execution and result interpretation. https://amberljc.github.io/blog/2023-09-method-to-enhance-llm.html https://amberljc.github.io/blog/2023-09-method-to-enhance-llm.html Fri, 01 Sep 2023 00:00:00 +0000 Jiachen (Amber) Liu article LLM fine-tuning RAG A comprehensive guide to unlocking LLM capabilities beyond pre-training through fine-tuning, RAG, and other advanced techniques.