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🤖 Lisp Machines

Symbolics, MIT AI Lab, Historical Computing, Interactive Programming

Song recommendations from F# combinators
blog.ploeh.dk·3d
🔗Functional Compilers
Opportunity knocks: getting your house in order for the AI action plan
techradar.com·14h
🌊Stream Processing
Memory Safety Is Merely Table Stakes
usenix.org·8h·
Discuss: Hacker News, r/programming
🔒Type Safety
[R] Is it true that most of AI is just data cleaning and not fancy models?
reddit.com·1d·
Discuss: r/MachineLearning
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Simulating a neural operating system with Gemini 2.5 Flash-Lite
developers.googleblog.com·1d·
Discuss: Hacker News
🎯Emulator Accuracy
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·2d
💾Persistence Strategies
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
arxiv.org·20m
🧠Neural Codecs
Show HN: Using Claude Code SDK to to implement an agentic CV parser
github.com·5h·
Discuss: Hacker News
🤖Archive Automation
Machine Learning Fundamentals: active learning
dev.to·2d·
Discuss: DEV
🤖Grammar Induction
Python course: Functions
dev.to·8h·
Discuss: DEV
🔗Lisp
Flame Graph Performance Truth Analysis(1750918443851900)
dev.to·22h·
Discuss: DEV
⚡Performance Tools
Machine Learning Fundamentals: adam optimizer example
dev.to·12h·
Discuss: DEV
📊Quantization
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·1d
📊Graph Databases
A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
towardsdatascience.com·9h
📊Performance Profiling
Machine Learning Fundamentals: active learning tutorial
dev.to·1d·
Discuss: DEV
🎛️Feed Filtering
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
arxiv.org·2d
🗺️Competency Maps
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
arxiv.org·1d
🎵Audio ML
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·1d
💻Local LLMs
🧠 The Illusion of Thinking: Apple’s Deep Dive into AI’s Reasoning Limits
dev.to·1d·
Discuss: DEV
💻Local LLMs
TITAN: Query-Token based Domain Adaptive Adversarial Learning
arxiv.org·20m
📊Learned Metrics
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