Blog Categories
ai (3)
ai-agents (16)
android (1)
audio (1)
benchmarks (2)
cli-tools (6)
compilers (3)
computer-history (1)
data-formats (1)
deep-dive (1)
developer-workflow (1)
efficiency (2)
emacs (2)
embedded (1)
embedded-systems (3)
explainers (34)
fundamentals (1)
hardware (1)
homelab (1)
interpretability (1)
introduction (1)
languages (1)
llm (46)
machine-learning (57)
mcp (1)
meta (1)
mobile (1)
multi-agent (1)
personal (2)
programming-history (4)
programming-languages (1)
projects (4)
research (19)
retrocomputing (1)
rust (25)
tbt (9)
testing (2)
tools (7)
vibe-coding (10)
visual-programming (1)
web (1)
webassembly (1)
ai
- Saw (1/?): pjmai-rs, Rig, and langchain-rust
- Lucy 20%: Upgrading My Home AI Cluster
- MCP: Teaching Claude to Play (and Trash Talk)
ai-agents
- Saw (7/?): Prolog, Many-Agent Isolation, Self-Hosting Assembler, and MLPL
- Saw (6/?): Agent Coordination, Fuzzing Tests, Vendoring, and Emacs Graphics
- Saw (5/?): Sagas, Languages, and Compiler Chains
- Saw (4/?): All Together Now --- Emacs Meets the Multi-Agent Orchestra
- Saw (3/?): agentrail-rs --- From Walking Skeleton to Dual Memory
- AI Tools (1/?): XSkill --- A Memory Layer for Multimodal Agents
- How AI Learns Part 7: Designing a Continuous Learning Agent
- How AI Learns Part 6: Toward Continuous Learning
- How AI Learns Part 5: Context Engineering & Recursive Reasoning
- How AI Learns Part 4: Memory-Based Learning
- How AI Learns Part 3: Weight-Based Learning
- How AI Learns Part 2: Catastrophic Forgetting vs Context Rot
- How AI Learns Part 1: The Many Meanings of Learning
- music-pipe-rs: Unix Pipelines for MIDI Composition
- midi-cli-rs: Extending with Custom Mood Packs
- midi-cli-rs: Music Generation for AI Coding Agents
android
audio
benchmarks
cli-tools
- Saw (4/?): All Together Now --- Emacs Meets the Multi-Agent Orchestra
- Saw (3/?): agentrail-rs --- From Walking Skeleton to Dual Memory
- TBT (7/?): reg-rs - Regression Testing from C++ to Java to Rust
- pjmai-rs: Navigation History and Fuzzy Completion
- rank-wav: Ranking Audio Files by Acoustic Quality
- TBT (6/?): PJMAI-RS - A Shell That Knows Your Projects
compilers
- Saw (7/?): Prolog, Many-Agent Isolation, Self-Hosting Assembler, and MLPL
- Saw (6/?): Agent Coordination, Fuzzing Tests, Vendoring, and Emacs Graphics
- Saw (5/?): Sagas, Languages, and Compiler Chains
computer-history
data-formats
deep-dive
developer-workflow
efficiency
emacs
- Saw (6/?): Agent Coordination, Fuzzing Tests, Vendoring, and Emacs Graphics
- Saw (4/?): All Together Now --- Emacs Meets the Multi-Agent Orchestra
embedded
embedded-systems
- COR24-RS: Learn Assembly in Your Browser
- Embedded (1/?): BMP280 Driver --- From Prototype to Patent Proof-of-Concept
- Rabbit-hole (1/?): Poor Man's Rust-to-Unsupported-ISA Translator
explainers
- ML Frontier #04: Is Chain of Thought Real?
- ML Frontier #03: Structure Beats Scale --- Knowledge Graphs and Domain-Specific Superintelligence
- ML Frontier #02: In-Context Reinforcement Learning
- ML Frontier #01: Neural Collapse
- Five ML Concepts - #30: The Journey So Far
- Five ML Concepts - #29
- Five ML Concepts - #28
- Five ML Concepts - #27
- Five ML Concepts - #26
- Five ML Concepts - #25
- Five ML Concepts - #24
- Five ML Concepts - #23
- Five ML Concepts - #22
- Five ML Concepts - #21
- Five ML Concepts - #20
- Five ML Concepts - #19
- Five ML Concepts - #18
- Five ML Concepts - #17
- Five ML Concepts - #16
- Five ML Concepts - #15
- Five ML Concepts - #14
- Five ML Concepts - #13
- Five ML Concepts - #12
- Five ML Concepts - #11
- Five ML Concepts - #10
- Five ML Concepts - #9
- Five ML Concepts - #8
- Five ML Concepts - #7
- Five ML Concepts - #6
- Five ML Concepts - #5
- Five ML Concepts - #4
- Five ML Concepts - #3
- Five ML Concepts - #2
- Five ML Concepts - #1
fundamentals
hardware
homelab
interpretability
introduction
languages
llm
- Five ML Concepts - #30: The Journey So Far
- Five ML Concepts - #29
- Five ML Concepts - #28
- Five ML Concepts - #27
- Five ML Concepts - #26
- Five ML Concepts - #25
- Five ML Concepts - #24
- Five ML Concepts - #23
- Five ML Concepts - #22
- Five ML Concepts - #21
- Five ML Concepts - #20
- In-Context Learning Revisited: From Mystery to Engineering
- Five ML Concepts - #19
- Five ML Concepts - #18
- Five ML Concepts - #17
- Five ML Concepts - #16
- Multi-Hop Reasoning (2/2): The Distribution Trap
- Towards Continuous LLM Learning (2): Routing Prevents Forgetting
- Five ML Concepts - #15
- Five ML Concepts - #14
- Five ML Concepts - #13
- Five ML Concepts - #12
- Five ML Concepts - #11
- RLM: Recursive Language Models for Massive Context
- Five ML Concepts - #10
- Towards Continuous LLM Learning (1): Sleepy Coder - When Fine-Tuning Fails
- Five ML Concepts - #9
- Five ML Concepts - #8
- Deepseek Papers (3/3): Engram Revisited - From Emulation to Implementation
- Five ML Concepts - #7
- Five ML Concepts - #6
- Five ML Concepts - #5
- Five ML Concepts - #4
- Five ML Concepts - #3
- Small Models (6/6): Which Small AI Fits YOUR Laptop?
- Five ML Concepts - #2
- Small Models (5/6): Max AI Per Watt
- Five ML Concepts - #1
- Small Models (4/6): This AI Has a Visible Brain
- Solving Sparse Rewards with Many Eyes
- Small Models (3/6): Planner + Doer = Genius
- Deepseek Papers (2/3): Engram - Conditional Memory for Transformers
- Multi-Hop Reasoning (1/2): Training Wheels for Small LLMs
- Small Models (2/6): AI in Your Pocket
- Deepseek Papers (1/3): mHC - Training Stability at Any Depth
- Small Models (1/6): 976 Parameters Beat Billions
machine-learning
- Saw (7/?): Prolog, Many-Agent Isolation, Self-Hosting Assembler, and MLPL
- ML Frontier #04: Is Chain of Thought Real?
- ML Frontier #03: Structure Beats Scale --- Knowledge Graphs and Domain-Specific Superintelligence
- ML Frontier #02: In-Context Reinforcement Learning
- ML Frontier #01: Neural Collapse
- Five ML Concepts - #30: The Journey So Far
- Five ML Concepts - #29
- Five ML Concepts - #28
- How AI Learns Part 7: Designing a Continuous Learning Agent
- Five ML Concepts - #27
- How AI Learns Part 6: Toward Continuous Learning
- Five ML Concepts - #26
- How AI Learns Part 5: Context Engineering & Recursive Reasoning
- Five ML Concepts - #25
- How AI Learns Part 4: Memory-Based Learning
- Five ML Concepts - #24
- How AI Learns Part 3: Weight-Based Learning
- Five ML Concepts - #23
- How AI Learns Part 2: Catastrophic Forgetting vs Context Rot
- Five ML Concepts - #22
- Many-Eyes Learning: Intrinsic Rewards and Diversity
- How AI Learns Part 1: The Many Meanings of Learning
- Five ML Concepts - #21
- Five ML Concepts - #20
- In-Context Learning Revisited: From Mystery to Engineering
- Five ML Concepts - #19
- Five ML Concepts - #18
- Five ML Concepts - #17
- Five ML Concepts - #16
- Multi-Hop Reasoning (2/2): The Distribution Trap
- Towards Continuous LLM Learning (2): Routing Prevents Forgetting
- Five ML Concepts - #15
- Five ML Concepts - #14
- Five ML Concepts - #13
- Five ML Concepts - #12
- Neural-Net-RS: An Educational Neural Network Platform
- Cat Finder: Personal Software via Vibe Coding
- Five ML Concepts - #11
- Five ML Concepts - #10
- Towards Continuous LLM Learning (1): Sleepy Coder - When Fine-Tuning Fails
- Five ML Concepts - #9
- Five ML Concepts - #8
- Deepseek Papers (3/3): Engram Revisited - From Emulation to Implementation
- Five ML Concepts - #7
- Five ML Concepts - #6
- Five ML Concepts - #5
- Five ML Concepts - #4
- Five ML Concepts - #3
- Five ML Concepts - #2
- Five ML Concepts - #1
- Small Models (4/6): This AI Has a Visible Brain
- Solving Sparse Rewards with Many Eyes
- Small Models (3/6): Planner + Doer = Genius
- Deepseek Papers (2/3): Engram - Conditional Memory for Transformers
- Multi-Hop Reasoning (1/2): Training Wheels for Small LLMs
- Deepseek Papers (1/3): mHC - Training Stability at Any Depth
- Small Models (1/6): 976 Parameters Beat Billions
mcp
meta
mobile
multi-agent
personal
- Bucket List (2/?): A Landing Page for Software Tools
- Bucket List (1/?): Things I've Always Wanted to Build
programming-history
- TBT (9/?): UNIVAC Startrek, TRS-80 Adventures, and COR24 BASIC
- TBT (3/?): Vector Graphics Games
- TBT (2/?): Pipelines on OS/390
- TBT (1/?): My First Program Was a Horse Race
programming-languages
projects
- Bucket List (2/?): A Landing Page for Software Tools
- Bucket List (1/?): Things I've Always Wanted to Build
- Neural-Net-RS: An Educational Neural Network Platform
- Cat Finder: Personal Software via Vibe Coding
research
- ML Frontier #04: Is Chain of Thought Real?
- ML Frontier #03: Structure Beats Scale --- Knowledge Graphs and Domain-Specific Superintelligence
- AI Tools (1/?): XSkill --- A Memory Layer for Multimodal Agents
- ML Frontier #02: In-Context Reinforcement Learning
- ML Frontier #01: Neural Collapse
- Many-Eyes Learning: Intrinsic Rewards and Diversity
- In-Context Learning Revisited: From Mystery to Engineering
- Multi-Hop Reasoning (2/2): The Distribution Trap
- Towards Continuous LLM Learning (2): Routing Prevents Forgetting
- RLM: Recursive Language Models for Massive Context
- DyTopo: Dynamic Topology for Multi-Agent AI
- Towards Continuous LLM Learning (1): Sleepy Coder - When Fine-Tuning Fails
- Deepseek Papers (3/3): Engram Revisited - From Emulation to Implementation
- Solving Sparse Rewards with Many Eyes
- Small Models (3/6): Planner + Doer = Genius
- Deepseek Papers (2/3): Engram - Conditional Memory for Transformers
- Multi-Hop Reasoning (1/2): Training Wheels for Small LLMs
- Deepseek Papers (1/3): mHC - Training Stability at Any Depth
- Small Models (1/6): 976 Parameters Beat Billions
retrocomputing
rust
- Saw (7/?): Prolog, Many-Agent Isolation, Self-Hosting Assembler, and MLPL
- Saw (6/?): Agent Coordination, Fuzzing Tests, Vendoring, and Emacs Graphics
- Saw (5/?): Sagas, Languages, and Compiler Chains
- Saw (4/?): All Together Now --- Emacs Meets the Multi-Agent Orchestra
- TBT (8/?): wiki-rs --- Six Wikis, One Engine, Thirty Years of History
- Saw (3/?): agentrail-rs --- From Walking Skeleton to Dual Memory
- COR24-RS: Learn Assembly in Your Browser
- TBT (7/?): reg-rs - Regression Testing from C++ to Java to Rust
- Embedded (1/?): BMP280 Driver --- From Prototype to Patent Proof-of-Concept
- Saw (2/?): reg-rs, avoid-compaction, and agentrail-rs
- Rabbit-hole (1/?): Poor Man's Rust-to-Unsupported-ISA Translator
- Saw (1/?): pjmai-rs, Rig, and langchain-rust
- pjmai-rs: Navigation History and Fuzzy Completion
- rank-wav: Ranking Audio Files by Acoustic Quality
- TBT (6/?): PJMAI-RS - A Shell That Knows Your Projects
- music-pipe-rs: Web Demo and Multi-Instrument Arrangements
- TBT (5/?): IBM 1130 System Emulator - Experience 1960s Computing
- music-pipe-rs: Unix Pipelines for MIDI Composition
- midi-cli-rs: Extending with Custom Mood Packs
- midi-cli-rs: Music Generation for AI Coding Agents
- Neural-Net-RS: An Educational Neural Network Platform
- Cat Finder: Personal Software via Vibe Coding
- RLM: Recursive Language Models for Massive Context
- DyTopo: Dynamic Topology for Multi-Agent AI
- MCP: Teaching Claude to Play (and Trash Talk)
tbt
- TBT (9/?): UNIVAC Startrek, TRS-80 Adventures, and COR24 BASIC
- TBT (8/?): wiki-rs --- Six Wikis, One Engine, Thirty Years of History
- TBT (7/?): reg-rs - Regression Testing from C++ to Java to Rust
- TBT (6/?): PJMAI-RS - A Shell That Knows Your Projects
- TBT (5/?): IBM 1130 System Emulator - Experience 1960s Computing
- TBT (4/?): ToonTalk - Teaching Robots to Program
- TBT (3/?): Vector Graphics Games
- TBT (2/?): Pipelines on OS/390
- TBT (1/?): My First Program Was a Horse Race
testing
- Saw (6/?): Agent Coordination, Fuzzing Tests, Vendoring, and Emacs Graphics
- TBT (7/?): reg-rs - Regression Testing from C++ to Java to Rust
tools
- AI Tools (1/?): XSkill --- A Memory Layer for Multimodal Agents
- Saw (2/?): reg-rs, avoid-compaction, and agentrail-rs
- Saw (1/?): pjmai-rs, Rig, and langchain-rust
- music-pipe-rs: Web Demo and Multi-Instrument Arrangements
- music-pipe-rs: Unix Pipelines for MIDI Composition
- midi-cli-rs: Extending with Custom Mood Packs
- midi-cli-rs: Music Generation for AI Coding Agents
vibe-coding
- music-pipe-rs: Web Demo and Multi-Instrument Arrangements
- TBT (5/?): IBM 1130 System Emulator - Experience 1960s Computing
- Many-Eyes Learning: Intrinsic Rewards and Diversity
- music-pipe-rs: Unix Pipelines for MIDI Composition
- midi-cli-rs: Extending with Custom Mood Packs
- midi-cli-rs: Music Generation for AI Coding Agents
- TBT (4/?): ToonTalk - Teaching Robots to Program
- Neural-Net-RS: An Educational Neural Network Platform
- Cat Finder: Personal Software via Vibe Coding
- TBT (3/?): Vector Graphics Games