News: Sharp/Nec Returns As Official Technology Partner For Festival Cinéma Paradiso Louvre 2025
madcornishprojectionist.co.uk·1d
🎬WebCodecs
A Practical (and Incomplete) History of Language Models
obrhubr.org·3d
🧮Kolmogorov Complexity
Anime Final Strike Guide
animefinalstrikeguide.com·1d·
Discuss: Hacker News
🇯🇵Japanese Computing
Kioxia unveils highest capacity SSD at 245.76 TB
blocksandfiles.com·2d·
Discuss: Hacker News, r/hardware
💿Disk Geometry
Manage Multiple Amazon Vendor Central Accounts Safely, Prevent Suspension Risks
news.ycombinator.com·1d·
Discuss: Hacker News
🔄Sync Engine
Show HN: Fundatio – Free macOS App to Structure Project Folders
apps.apple.com·10h·
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🍎Apple Archive
Open-Source LLM Helps Safeguard Text Generation Prompts and Responses
corp.roblox.com·3d·
Discuss: Hacker News
⚡Proof Automation
Assembly_verify
philipzucker.com·5d·
Discuss: Lobsters, Hacker News, r/programming
✅Format Verification
AI slop and fake reports are exhausting some security bug bounties
techcrunch.com·1d
🚀Indie Hacking
Intel promises sweeping changes to combat stagnation with new foundry strategy, AI focus, and the return of Hyper-Threading — but losses threaten to curtail amb...
tomshardware.com·22h
🖥️Terminal Renaissance
Uncovering Family History with Cloudinary’s Image Transformations and MCP Servers
dev.to·1d·
Discuss: DEV
🌳Format Genealogy
Can I trust this paper?
link.springer.com·2d·
Discuss: Hacker News
💧Manuscript Watermarks
Survey Sees Argo CD Starting to Gain Significant Traction
devops.com·18h
❄️Nix Adoption
Prompt Injection Attacks: Hacking AI Through Conversation
infosecwriteups.com·1d
⚡Proof Automation
Python Fundamentals: classes
dev.to·3d·
Discuss: DEV
💧Liquid Types
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
arxiv.org·2d
🎯Recommendation Metrics
Full Stack Development: The Backbone of Today’s Technology
dev.to·1d·
Discuss: DEV
🐚Nordic Shell
Top 5 LLM Observability Tools of 2025
dev.to·3d·
Discuss: DEV
👁️System Observability
Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification
arxiv.org·1d
📊Learned Metrics
Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors
arxiv.org·2d
⚛️Quantum Compilers