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Earlier sources: Cloud
This software thread follows cloud through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗133 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
LilZeeCN/agy-argon-bridge ↗
⚡ Bridge Antigravity CLI (agy) to Google Cloud Vertex AI (Gemini 4 Argon) with Full Tool Calling Support & Multi-Account Rotation
- OpenAlex · Published · First archived
Secure Enterprise Deployment of Generative AI through LLMOps Governance and Hybrid Cloud Infrastructure ↗
The rapid adoption of generative artificial intelligence (AI) across enterprise environments has created new opportunities forautomation, knowledge management, intelligent decision-making, and customer service. However, deploying large languagemodels (LLMs) in enterprise settings introduces security, privacy, governance, and operational challenges associated with sensitivedata exposure, unauthorized model access, prompt injection, model supply-chain vulnerabilities, and inconsistent regulatorycompliance. Hybrid cloud infrastructure offers a flexible deployment architecture that combines privat…
- OpenAlex · Published · First archived
A Low-Cost Edge–Cloud Prototype for Continuous Bird-Sound Detection and Ensemble-Based Deep Learning Species Classification ↗
This paper presents OrniSonix, a low-cost distributed edge–cloud acoustic monitoring system for continuous bird-sound detection and species classification. The system employs autonomous Raspberry Pi Zero 2W edge nodes equipped with acoustic sensors and 4G/LTE connectivity. The system continuously acquires environmental audio in fixed-duration segments, preprocesses it, transforms it into log-Mel representations, and evaluates it locally with a lightweight bird/no-bird inference gate. Only observations considered likely to contain bird activity are transmitted through an OpenVPN private network…
- OpenAlex · Published · First archived
Revocable and time-based secure file hierarchy sharing in cloud-assisted internet of things ↗
Abstract Cloud-assisted Internet of Things (IoT) has been widely accepted for IoT data sharing and outsourcing but owners lose control of their data. Hence, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is proposed with fine-grained access control for encrypted data. However, a real-world situation exists in which the cloud in the existing schemes may be malicious and with not unlimited resources while data users may access the shared data based on time factor and leave the system dynamically, which can easily lead to data breach leakage, storage exhaustion and privilege confusion. Dat…
- OpenAlex · Published · First archived
When Does Representation Learning Help Attack-Path Forecasting? A Controlled Multi-Cloud Study with CAPTURE-MC ↗
Cloud defenders increasingly want to anticipate an attacker’s next move, not merely detect the last one. We study attack-path forecasting in multi-cloud environments: given the partial trace of an in-progress campaign, predict the next ATT&CK technique. We present CAPTURE-MC, a heterogeneous temporal-graph model that encodes cross-provider telemetry and forecasts the next technique under a transition prior, and we release MC-PathBench, a synthetic but structurally faithful benchmark with four leakage-controlled generalization splits (temporal, cross-cloud, unseen-composition, and campaign hold…
- Hacker News · Posted on Hacker News · First archived
Musk now working on the "Distributed Inference Cloud" ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Tell HN: ChatGPT on macOS grants local computer access to cloud account ↗
I recently started a conversation on ChatGPT for macOS in "Work" mode with the "In the Cloud" execution option enabled. I was expecting this to run on a cloud VM, just like "Work" conversations started on chatgpt.com When I continued it in the browser (e.g. via right clicking it on macOS and then selecting "Open on chatgpt.com"), I was pretty shocked to learn that it actually had (and still has) access to my local file system. I could just prompt…
- Hacker News · Posted on Hacker News · First archived
Show HN: Commit-Aware Router, route LLM traffic around your AI/cloud commitments ↗
LLM routers can optimize for different factors like price, latency, quality, etc. Enterprises tend to have prepaid AI credits, minimum-spend agreements, cloud commitments, or commercial ceilings across OpenAI, Anthropic, AWS, Azure, and other providers. We’ll call these “AI commits”. This project is designed to consider the state of an enterprises’ current AI commits and use it to inform LLM routing decisions alongside other common variables (pri…
- GitHub · Repository created · First archived
seandavi/quarto-revealjs-live-questions ↗
Live audience polls, quizzes, word clouds and rating scales for Quarto revealjs slides, with a self-hosted Cloudflare Workers or Docker server
- Hacker News · Posted on Hacker News · First archived
What we learned from building 1M+ cloud agents ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Cloud
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.