Can Agentic Web Browsers Count?
tidbits.comยท10h
๐Ÿ”ƒFeed Algorithms
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HeraclesQL: A Python DSL for Writing Alerts
hudsonrivertrading.comยท10hยท
Discuss: Hacker News
โœ…Format Verification
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We May Have Fixed Python's 25-Year-Old Vulnerability
iyehuda.substack.comยท12hยท
Discuss: Substack
๐ŸงชBinary Fuzzing
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Brumby-14B-Base: The Strongest Attention-Free Base Model
manifestai.comยท1dยท
Discuss: Hacker News
๐Ÿ’ปLocal LLMs
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Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR
aws.amazon.comยท2d
๐ŸŽ™๏ธWhisper
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Measuring characteristics of TCP connections at Internet scale
blog.cloudflare.comยท1dยท
Discuss: Hacker News
๐Ÿ“กNetwork Archaeology
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DeepSeek may have found a new way to improve AIโ€™s ability to remember
technologyreview.comยท2dยท
๐Ÿค–Advanced OCR
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Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
arxiv.orgยท57m
๐ŸงฎKolmogorov Bounds
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Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
arxiv.orgยท57m
๐Ÿ•ธ๏ธGraph Embeddings
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Squeezing Every Last Flop: The INT vs. FP Showdown for AI Dominance
dev.toยท7hยท
Discuss: DEV
๐Ÿง Machine Learning
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Fevela.me โ€“ A newsreader-like client for the Nostr social network
github.comยท14hยท
๐Ÿ“ฐFeed Readers
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
arxiv.orgยท57m
โš”๏ธLean Tactics
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Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
arxiv.orgยท57m
๐Ÿ“ŠQuantization
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Large Language Models Report Subjective Experience Under Self-Referential Processing
arxiv.orgยท1d
๐ŸงฎKolmogorov Complexity
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Building Intelligent AI Agents with Modular Reinforcement Learning
dev.toยท3hยท
Discuss: DEV
โšกIncremental Computation
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Show HN: Fast-posit, sw implementation of posit arithmetic in Rust
github.comยท11hยท
Discuss: Hacker News
๐Ÿฆ€Rust Verification
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Fitting KNN: From Overfit to Underfit and Everything Between
dev.toยท12hยท
Discuss: DEV
๐Ÿ“ŠLearned Metrics
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Statistically Adaptive Differential Protection for AC Microgrids Based on Kullback-Leibler Divergence
arxiv.orgยท57m
๐ŸŒŠDigital Signal Processing
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Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error
arxiv.orgยท57m
๐Ÿ’ปLocal LLMs
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