๐Ÿฟ๏ธ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
๐Ÿค– Lisp Machines

Symbolics, MIT AI Lab, Historical Computing, Interactive Programming

Song recommendations from F# combinators
blog.ploeh.dkยท4d
๐Ÿ”—Functional Compilers
Why Dyad?: A Perspective for Modelica Users
juliahub.comยท1dยท
Discuss: Hacker News
๐Ÿ’งLiquid Types
Memory Safety Is Merely Table Stakes
usenix.orgยท13hยท
Discuss: Hacker News, r/programming
๐Ÿ”’Type Safety
CloneDex: Rebuilding OpenAI Codex with VibeKit
vibekit.shยท1dยท
Discuss: Hacker News
๐Ÿ”„Sync Engine
[R] Is it true that most of AI is just data cleaning and not fancy models?
reddit.comยท1dยท
Discuss: r/MachineLearning
๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟScottish Computing
Simulating a neural operating system with Gemini 2.5 Flash-Lite
developers.googleblog.comยท1dยท
Discuss: Hacker News
๐ŸŽฏEmulator Accuracy
Human Learning No Longer Exists - Enter Human Meaning
hackernoon.comยท1d
๐Ÿ›๏ธPhilosophy
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.ioยท1d
๐Ÿ“ŠGraph Databases
A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
towardsdatascience.comยท14h
๐Ÿ“ŠPerformance Profiling
Machine Learning Fundamentals: active learning tutorial
dev.toยท1dยท
Discuss: DEV
๐ŸŽ›๏ธFeed Filtering
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
arxiv.orgยท2d
๐Ÿ—บ๏ธCompetency Maps
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
arxiv.orgยท1d
๐ŸŽตAudio ML
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
๐Ÿง  The Illusion of Thinking: Appleโ€™s Deep Dive into AIโ€™s Reasoning Limits
dev.toยท1dยท
Discuss: DEV
๐Ÿ’ปLocal LLMs
TITAN: Query-Token based Domain Adaptive Adversarial Learning
arxiv.orgยท4h
๐Ÿ“ŠLearned Metrics
Predict Like a Leader Without a Crystal Ball
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ŠFeed Optimization
Machine Learning Fundamentals: accuracy with python
dev.toยท2dยท
Discuss: DEV
๐Ÿ‘๏ธObservatory Systems
Improving Compiler Bug Isolation by Leveraging Large Language Models
arxiv.orgยท3d
๐Ÿ”“Decompilation
Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
arxiv.orgยท3d
โœจEffect Handlers
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
arxiv.orgยท3d
๐Ÿ’ปProgramming languages
Loading...Loading more...
AboutBlogChangelogRoadmap