AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,243 papers
Emergent order in technologies, living systems, and now learned machines is often a frozen accident: a system reliably organizes, but which organization forms is selected by history, not fixed by fundamentals. This is path dependence: an early lead under increasing returns locks in, as with QWERTY or VHS. Yet our measu...
Abstract Four papers of this programme — on metrics, reward models, constitutions, and schools — reached the same prohibition without noticing they agreed: a virtue detector must never enter the loop that acts on the measured. This paper states the object they were touching from four sides. An agent originates an act....
Lean-grounded benchmark tables of Horn premise traces against continuation-query tests, with raw runs of small language models and constructed recognizers, preregistered statistics, and the working draft of the paper.
# Supplementary Data Package This package contains this README and four supplementary workbooks needed to trace the study corpus, screening validation, reporting, and the evidence summarized in manuscript Tables 5 and 6. `Supplementary_Table_S1_Corpus_and_Search.xlsx` documents the evidence base used in the review. Its...
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Translating an existing application from one general-purpose programming language into another is a long-standing engineering problem with no general solution. Arbitrary source-to-source translation is intractable because the two languages live in different runtime-semantic worlds with significant non-isomorphism in th...
Abstract Four papers of this programme — on metrics, reward models, constitutions, and schools — reached the same prohibition without noticing they agreed: a virtue detector must never enter the loop that acts on the measured. This paper states the object they were touching from four sides. An agent originates an act....
Technical note TR-2026-02, superseding TR-2026-01. We measure what happens when a frozen language model is sampled 128 times perproblem and the result is selected rather than taken as given. On GSM8K,Qwen2.5-0.5B-Instruct goes from 45.3% at a single sample to 66.5% undermajority voting, with no weights modified. Covera...
Can cosmic-ray muons detect hidden high-Z material in unknown cargo? A plain-language summary of a one-day computational study. Quantum Clarity LLC · September 2026 Repository: muon-tomography-lab The short version We built a computer simulation to test whether a particular statistical method could detect a block of de...
Fifth tagged release. (A v1.4 tag exists on d965cf2, Grok's partial freeze of 5 September — 445 commits behind this one, no release; it is kept as history and superseded here.) The law. The depth of the well — the smallest eigenvalue of the windowed Weil form on the window $[0, L]$, $L = \log\mu$ — is a count: the eige...
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
The conversation about artificial intelligence has narrowed to two competing bets about how human-level capability is built. The first, held by the major frontier labs, is that scaling neural networks produces general intelligence as an emergent property. The second, held by a smaller community in the cognitive-science...
Lean-grounded benchmark tables of Horn premise traces against continuation-query tests, with raw runs of small language models and constructed recognizers, preregistered statistics, and the working draft of the paper.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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