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@devopslinks shared an update, 1 week ago
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AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency

Amazon EC2 Amazon Web Services

AWS introduces Graviton5-based EC2 M9g instances, boosting performance by 25% and enhancing scalability while reducing costs.

AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency
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@varbear shared an update, 1 week ago
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Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor

Rust Tor Arti

The development of "Arti," a Rust-based Tor implementation funded by Zcash, aims to enhance security and efficiency by addressing the limitations of the current C-based Tor.

Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor
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@varbear added a new tool Arti , 1 week ago.
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@varbear added a new tool Tor , 1 week ago.
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@kala shared an update, 1 week ago
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Gemini Deep Research Is Now Programmable Through a New API

Gemini 3 Vertex AI

The enhanced Gemini Deep Research agent is now available via API, enabling developers to integrate advanced research capabilities into applications, with the open-sourcing of DeepSearchQA for evaluating complex tasks.

Gemini Deep Research Is Now Programmable Through a New API
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@kala added a new tool Vertex AI , 1 week ago.
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@kala added a new tool Gemini 3 , 1 week ago.
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@kala shared an update, 1 week ago
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GitHub Copilot Adds GPT-5.2 With Long-Context and UI Generation

GitHub Copilot GPT-5.2

OpenAI unveils GPT-5.2 for GitHub Copilot, enhancing software engineering with improved long-context reasoning and UI generation, integrated with Microsoft Azure and NVIDIA.

GitHub Copilot Adds GPT-5.2 With Long-Context and UI Generation
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@kala shared an update, 1 week ago
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GPT-5.2 Quietly Beats Human Experts at Knowledge Work

Azure GPT-5.2

OpenAI releases GPT-5.2, enhancing professional tasks with improved speed and cost-effectiveness, now available for paid users in ChatGPT and via API.

OpenAI unveils GPT-5.2, the most advanced frontier model for professional work and long-running agents
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@kala added a new tool GPT-5.2 , 1 week ago.
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).