This startup’s metal stacks could help solve AI’s massive heat problem
techcrunch.com·18h
🔧RISC-V
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From a Curious Outsider to a GreptimeDB Advocator Journey into Contribution
greptime.com·1d·
Discuss: Hacker News
🦀MIR Optimization
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The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·1d·
Discuss: Hacker News
🔮Metacircular Evaluators
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Absurd Workflows: Durable Execution With Just Postgres
lucumr.pocoo.org·3d·
Gleam
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GTIG AI Threat Tracker: Advances in Threat Actor Usage of AI Tools
cloud.google.com·19h·
Discuss: Hacker News
🛡️Parser Security
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AMD hit with patent lawsuit over hybrid bonding used in its 3D V-Cache processors
techspot.com·21h
💪ARM64 Backend
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2.4L Computer, everything fully internal
reddit.com·8h·
Discuss: r/sffpc
📊perf Tools
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AI-Driven Predictive Hazard Mitigation via Dynamic Structural Health Monitoring
dev.to·1d·
Discuss: DEV
🚂Error Propagation
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Enhanced SPICE Modeling via Adaptive Transient Analysis & Hierarchical Parameter Optimization
dev.to·4d·
Discuss: DEV
JIT Optimizations
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My 2025 Developer Tech Stack: From Code to Docs
dev.to·20h·
Discuss: DEV
🎮Language Ergonomics
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3 PC parts that are worse now than they were five years ago
xda-developers.com·2d
🔮Branch Predictors
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My first PC build and it’s an SFF
reddit.com·1d·
Discuss: r/sffpc
🔐Ownership Types
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Copilot is gaslighting developers and we’re all pretending it’s fine
dev.to·1d·
Discuss: DEV
🛡️Error Ergonomics
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Production-Ready Rate Limiter in Go: From Side Project to Distributed System
dev.to·2d·
Discuss: DEV
⏱️Real-Time GC
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A unified physics-informed generative operator framework for general inverse problems
arxiv.org·4h
🪜Recursive Descent
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Beyond the "Vibe Check": How to Use the Web Codegen Scorer to Master AI-Generated Code
dev.to·13h·
Discuss: DEV
🌐Browser Compilers
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PPL (PPL) Q3 2025 Earnings Call Transcript
fool.com·16h
⚙️Configuration Languages
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EQ-Negotiator: Dynamic Emotional Personas Empower Small Language Models for Edge-Deployable Credit Negotiation
arxiv.org·4h
🔍ML Language
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Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
arxiv.org·1d
Effect Inference
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