Why Preserve? To Connect!
spellboundblog.comยท2d
๐ŸบFormat Archaeology
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The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
machinelearningmastery.comยท1d
๐Ÿง Intelligence Compression
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Show HN: I made a better DOM morphing algorithm
joel.drapper.meยท1dยท
Discuss: Hacker News
๐Ÿฆ‹Format Metamorphosis
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Digital OR: How UKE is realizing the operating room of the future
heise.deยท2d
๐Ÿ“„Document Digitization
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Analysis of 422 Claude conversations finds high anthropomorphism, low boundaries
myyearwithclaude.substack.comยท1dยท
Discuss: Substack
๐Ÿค–AI Curation
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Pain Points of OCaml
quamserena.comยท4dยท
๐Ÿฆ€Rust Macros
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What data do coding agents send, and where to?
chasersystems.comยท4dยท
Discuss: Hacker News
๐ŸงชProtocol Fuzzing
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Show HN: Lanturn โ€“ A smart headlamp running voice+vision on ESP32
github.comยท1dยท
Discuss: Hacker News
๐ŸŽฌWebCodecs
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Researchers want to kill the vibe, propose better model for AI coding
theregister.comยท1dยท
Discuss: Hacker News
๐ŸŽ™๏ธWhisper
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One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
arxiv.orgยท1d
โšกIncremental Computation
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On Designing Low-Latency Systems for High-Traffic Environments
hackernoon.comยท5d
๐ŸŒŠStream Processing
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Anyone using runners in your Homelab setups?
reddit.comยท2dยท
Discuss: r/homelab
๐Ÿ“ฆContainer Security
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AI Agents in Go: Exploring Agent-to-Agent (A2A) Protocols in AI Ecosystems
dev.toยท5dยท
Discuss: DEV
๐Ÿ”ŒInterface Evolution
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Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent-Child Interaction
arxiv.orgยท1d
๐ŸงฎKolmogorov Complexity
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The Evergreen AI & Tech Roundup: Navigating Trends for Credibility and Career Growth (2025-11-08)
dev.toยท21hยท
Discuss: DEV
๐Ÿค–AI Curation
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FreeBSD added to OCI Runtime Specification v1.3
discoverbsd.comยท3d
๐ŸกOpenBSD
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Understanding AI Evaluation for Modern LLM Workflows
dev.toยท1dยท
Discuss: DEV
โœ“Automated Theorem Proving
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Tech With Tim: Learn Fast API With This ONE Project
dev.toยท14hยท
Discuss: DEV
๐ŸŽฌWebCodecs
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Production-Ready Rate Limiter in Go: From Side Project to Distributed System
dev.toยท5dยท
Discuss: DEV
๐ŸŒŠStreaming Systems
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
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