Riven: The Sequel to Myst (1997)
michal.sapka.pl·2h
🎮Vintage Gaming
where violence flows - mediating on family, grief, and imperialism
blogs.lib.umich.edu·1d
📖Nordic Typography
AI swallows misinformation and spits it back at us: ‘It’s optimized to give useful information, but not for it to be correct’
english.elpais.com·20h
🎛️Feed Filtering
BBC and Heise boldly exploring the Fediverse frontier
stylestitches.substack.com·2d·
Discuss: Substack
📡RSS Readers
"Aha Moments" in User Onboarding: Developer's Guide to Better First Impressions
onboardjs.com·14h·
Discuss: Hacker News
🔌Interface Evolution
Protecting Science: TIB Builds Dark Archive for ArXiv
blog.tib.eu·1d·
Discuss: Hacker News
📚MARC Records
SumApp: AI Powered Summary Assistant
apps.apple.com·1d·
Discuss: Hacker News
🤖Archive Automation
Is it legal to use copyrighted works to train LLMs?
spinellis.gr·2d·
Discuss: Hacker News
⚖️Emulation Ethics
The Orakle Manifesto: Why Your AI Apps (Should) Belong to You
medium.com·2h·
Discuss: Hacker News, r/LocalLLaMA
👁️Observatory Systems
How AI Agents Gather Data
blog.dust.tt·2d·
Discuss: Hacker News
📥Feed Aggregation
An All-Around Better Horse
patrickhebron.com·3d·
Discuss: Hacker News
🧠Knowledge Management
'A huge blow to publishers and media': Former Google exec warns about dangers of breaking Google in explosive new book
techradar.com·13h
🔍BitFunnel
How Language Became Infrastructure—and Why That Should Worry Us
hackernoon.com·2d
📋Document Grammar
7 Popular LLMs Explained in 7 Minutes
kdnuggets.com·2d
💻Local LLMs
Aligning Spoken Dialogue Models from User Interactions
arxiv.org·1d
🎙️Whisper
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.org·2d
🔍BitFunnel
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
arxiv.org·1d
🧠Machine Learning
Notion + Zapier = Developer Superpowers: Automate Everything
dev.to·16h·
Discuss: DEV
⚡Proof Automation
Python Programming
dev.to·2d·
Discuss: DEV
📝Concrete Syntax
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·2d
🧠Intelligence Compression