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Top 7 Python Libraries for Large-Scale Data Processing

This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows... read more  

Top 7 Python Libraries for Large-Scale Data Processing
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Introducing Claude Opus 4.8

Claude Opus 4.8 delivers top-tier performance with honest and powerful collaboration, outpacing prior models and GPT-5.5 across multiple benchmarks. Opus 4.8's cutting-edge abilities and improved judgment set a new standard for enterprise AI, enhancing reliability and reasoning quality, ready for im.. read more  

Introducing Claude Opus 4.8
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Rethinking Search as Code Generation

Perplexity's engineers introduced Search as Code, and developers use its Python SDK to call low-level retrieval primitives instead of sending queries to one search endpoint... read more  

Rethinking Search as Code Generation
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Intel: Our upcoming AI chip will be cheaper, run cooler than Nvidia, AMD options

Intel designed Crescent Island, an AI inference GPU, with lower-cost memory and air cooling, and plans to ship limited quantities this year... read more  

Intel: Our upcoming AI chip will be cheaper, run cooler than Nvidia, AMD options
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Top 15 DevOps Metrics and How to Read Them

DevOps metrics show how fast & reliable your team delivers software; valuable for saving money & building trust.DORA metricsonly part of the picture. Focus on key categories to understand if overall delivery is improving. Don't just measure, find the bottleneck for real improvement... read more  

Top 15 DevOps Metrics and How to Read Them
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A Forged Kernel Key and a Rootful Helper: Inside the CIFSwitch Linux Privilege Escalation

A researcher disclosed CIFSwitch, a Linux local privilege escalation flaw present since 2007. Unprivileged users can exploit the CIFS Kerberos mount helper to gain root access... read more  

A Forged Kernel Key and a Rootful Helper: Inside the CIFSwitch Linux Privilege Escalation
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Well-architected best practices for software supply chain security

AWS security teams define npm supply-chain defense as two tasks: limit credential blast radius and block unverified artifacts before production... read more  

Well-architected best practices for software supply chain security
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The normal work of creating reliability

SREs should study how engineers keep systems reliable during routine work, including the adjustments they make before incidents occur. Tech teams have adoptedSafety-IIat a limited rate because they lack practical models for observing those adjustments... read more  

The normal work of creating reliability
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AWS MCP Server: Complete Guide for Building AI Agents on AWS

Learn how to build powerful AI agents on AWS MCP Server. A complete guide covering setup, architecture, tools, and real-world use cases.

01-Guid to build AI Agent on AWS MCP Server
INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.