RSS feed in an Astro blog
amanhimself.dev·23h
📰RSS Feed Discovery
Leopard Lord (1983)
bluerenga.blog·5h
🕹️Retro Gaming
Thumbing through the DNS Trail of the TAOTH Campaign
circleid.com·1d
📡DNS Archaeology
Secondhand embarrassment
robinsloan.com·12h
🦀Rust Macros
Triple Threat: Signal's Ratchet Goes Post-Quantum
blog.quarkslab.com·6d
🔐Quantum Security
Fundamental Interconnectedness of All Things on Talking Postgres Podcast
talkingpostgres.com·1d·
Discuss: Hacker News
🧬PostgreSQL Forensics
A small number of samples can poison LLMs of any size
anthropic.com·3d·
Discuss: Lobsters, Hacker News, r/50501
🔍Vector Forensics
Sandy Maguire: Theorems for Free Redux
reasonablypolymorphic.com·3d·
Discuss: Hacker News
λLambda Encodings
Why Haskell is the perfect fit for renewable energy tech
mrcjkb.dev·4d·
Discuss: Hacker News
🧬Functional Programming
When Will Quantum Computing Work?
tommccarthy.net·2d·
Discuss: Hacker News
🔐Quantum Security
Nearly Instance-Optimal Parameter Recovery from Many Trajectories via Hellinger Localization
arxiv.org·3d
🧮Kolmogorov Bounds
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
arxiv.org·3d
🔍Vector Forensics
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.org·2d
📋Document Grammar
LLMs Learn to Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
arxiv.org·2d
🔲Cellular Automata
A Study of Neural Polar Decoders for Communication
arxiv.org·6d
🧠Neural Codecs
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·3d
🧠Learned Indexes
SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing
arxiv.org·2d
🌈Holographic Storage
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
arxiv.org·2d
💻Programming languages
Decentralized Intelligence: Empowering Autonomous Systems with Localized Learning by Arvind Sundararajan
dev.to·3d·
Discuss: DEV
🔲Cellular Automata
Latency vs. Accuracy for LLM Apps — How to Choose and How a Memory Layer Lets You Win Both
dev.to·5d·
Discuss: DEV
⚡Performance Mythology