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🤖 Lisp Machines

Symbolics, MIT AI Lab, Historical Computing, Interactive Programming

From punch cards to prompts: a history of how software got better
stackoverflow.blog·11h
🔄Reproducible Builds
Selective Temporal Training
robinsloan.com·4d
🤖Grammar Induction
AI in cybersecurity operations
jwgoerlich.com·1d
🛡Cybersecurity
InfoSec News Nuggets 8/27/2025
aboutdfir.com·3h
🎫Kerberos Attacks
AI Makes It Harder for Entry-Level Coders to Find Jobs, Study Says
bloomberg.com·1d·
Discuss: Hacker News
🗺️Competency Maps
Justin's Idea Catcher
ideas.jwest.org·1d·
Discuss: Hacker News
⚙️Proof Engineering
Qwen Code: CLI with Chinese Characteristics
elite-ai-assisted-coding.dev·17h·
Discuss: Hacker News
🔓Open Source Software
Box CEO Aaron Levie tells BI the fix for AI's 'context rot' isn't one super-agent
businessinsider.com·11h
✅Archive Fixity
TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
arxiv.org·1d
🧠Machine Learning
AI as IA: The use and abuse of artificial intelligence (AI) for human enhancement through intellectual augmentation (IA)
arxiv.org·1d
🔲Cellular Automata
ArgusCogito: Chain-of-Thought for Cross-Modal Synergy and Omnidirectional Reasoning in Camouflaged Object Segmentation
arxiv.org·1d
🤖Advanced OCR
SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation
arxiv.org·1d
🔗Monadic Parsing
The Awareness Paradox — How Attention Makes Us Brilliant and Blind🧠🔦🤹
dev.to·1d·
Discuss: DEV
🎯Threat Hunting
[D] An honest attempt to implement "Attention is all you need" paper
reddit.com·1d·
Discuss: r/MachineLearning
🎙️Whisper
I don’t code much anymore.
dev.to·21h·
Discuss: DEV
🔗Concatenative Languages
Learning Real-World Acrobatic Flight from Human Preferences
arxiv.org·11h
🔲Cellular Automata
CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering
arxiv.org·11h
🔍Information Retrieval
MobileDenseAttn:A Dual-Stream Architecture for Accurate and Interpretable Brain Tumor Detection
arxiv.org·11h
🧠Machine Learning
Automate the Testing of Your LLM Prompts
dev.to·2d·
Discuss: DEV
⚡Proof Automation
SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks
arxiv.org·5d
💻Local LLMs
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