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โš–๏ธ Lossy Compression Ethics

Quality Trade-offs, Cultural Preservation, Information Loss, Archival Standards

When Hackers Get Hacked: Lessons From Underground Betrayals
lmgsecurity.comยท2d
๐Ÿ”“Hacking
Fir is getting useful
osa1.netยท2d
๐ŸŒณContext free grammars
We Already Know a Way to Save a Bunch of Lives
slate.comยท2dยท
Discuss: Hacker News
๐Ÿ”Quantum Security
Beginners can do things that experts cannot
omarshehata.substack.comยท2dยท
Discuss: Substack
๐ŸŒˆColor Archaeology
Show HN: Easy Adhoc Sandboxing on NixOS
github.comยท2dยท
Discuss: Hacker News
โ„๏ธNixpkgs
Why AI gets stuck in infinite loops โ€” but conscious minds donโ€™t
freethink.comยท2dยท
Discuss: Hacker News
๐Ÿ”ฒCellular Automata
Portable Targeted Sampling Framework Using LLVM
arxiv.orgยท1d
๐ŸŽฏEmulation Accuracy
Judge Mehtaโ€™s Google Antitrust Remedies: Threading The Needle Between Overkill And Underkill
techdirt.comยท2d
๐Ÿ”BitFunnel
InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System
arxiv.orgยท1d
๐Ÿ“„Text Segmentation
Files 4.0 updated with a new Omnibar and smarter search
techspot.comยท2d
๐ŸบZIP Archaeology
InvisiCaps: The Fil-C capability model
fil-c.orgยท1dยท
Discuss: Hacker News
๐Ÿท๏ธMemory Tagging
Best way to setup media server?
reddit.comยท2dยท
Discuss: r/homelab
๐Ÿ–ฅHome Lab Setup
Optimizing Geometry Problem Sets for Skill Development
arxiv.orgยท1d
๐Ÿ—บ๏ธCompetency Maps
Practical Patterns for Adding Language Understanding to Any Software System
dev.toยท2dยท
Discuss: DEV
๐ŸŒ€Brotli Internals
A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
arxiv.orgยท2d
๐Ÿค–Advanced OCR
An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment
arxiv.orgยท2d
๐ŸŽงLearned Audio
From vibe to viable: the hidden cost of AI tech debt
techradar.comยท2d
๐Ÿ“Code Metrics
Tracking Trust with Rust in the Kernel
lwn.netยท2dยท
Discuss: Hacker News
๐Ÿฆ€Rust Verification
[D] Intel discontinuing SGX forced us to rethink our confidential compute stack for private model training
reddit.comยท1dยท
Discuss: r/MachineLearning
๐Ÿ–ฅ๏ธTerminal Renaissance
Achieving Hilbert-Schmidt Independence Under R\'enyi Differential Privacy for Fair and Private Data Generation
arxiv.orgยท4d
๐Ÿ”Homomorphic Encryption
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