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What Actually Runs When You Start an AI Agent
Design · The layers of an agent run: agent loop, model settings, instructions, sandboxing, context, memory, skills, and MCP
Aug 14
•
Yongkyun
2
1
July 2026
How Kimi K3 Engineered Its Way to the Frontier
Design · Kimi Delta Attention, balanced Mixture-of-Experts routing, and microVM infrastructure behind a 2.8T-parameter open-weight model
Jul 30
•
Yongkyun
5
LLM Benchmarks, the Fine Line between Science and Marketing
The tasks, graders, and reporting choices behind the scores in LLM launches
Jul 23
•
Yongkyun
2
June 2026
[Lean] The Proof Checker Behind Verifiable AI
The basics of Lean, the language behind machine-checked math and verifiable proofs
Jun 23
•
Yongkyun
1
Cutting LLM Token Costs with rtk, headroom, and caveman
Design · Internals, the limited savings measured on real workloads, and security risks
Jun 18
•
Yongkyun
16
4
1
[2026.06 Week 2] Five Trending Repos of the Week
Five GitHub repositories trending this week.
Jun 14
•
Yongkyun
1
[2026.06 Week 1] Five Trending Repos of the Week
Five GitHub repositories trending this week.
Jun 8
•
Yongkyun
1
1
May 2026
[2026.05 Week 5] Five Trending Repos of the Week
Five GitHub repositories trending this week.
May 31
•
Yongkyun
Agent Memory Systems and Knowledge Graphs: Letta, Mem0, Graphiti, and Cognee
Design · A close look at four approaches to long-term agent memory, from text blocks to temporal graphs
May 28
•
Yongkyun
12
4
[2026.05 Week 4] Five Trending Repos of the Week
Five GitHub repositories trending this week
May 24
•
Yongkyun
2
[AI-Scientist-v2] Inside the Autonomous AI Scientist Featured in Nature
Design · Four design decisions in AI Scientist v2 that keep the LLM from fabricating its own citations, numbers, and figures
May 19
•
Yongkyun
4
1
[2026.05 Week 3] Five Trending Repos of the Week
Five GitHub repositories trending this week.
May 18
•
Yongkyun
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