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@kaptain added a new tool Kubernetes Gateway API , 4 weeks, 1 day ago.
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@kala shared an update, 4 weeks, 1 day ago
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Google Releases Magika 1.0: AI File Detection in Rust

Rust Magika

Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.

Google Releases Magika 1.0: AI File Detection in Rust
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@kala added a new tool Magika , 4 weeks, 1 day ago.
News FAUN.dev() Team Trending
@kala shared an update, 4 weeks, 1 day ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

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@devopslinks added a new tool BigQuery , 4 weeks, 1 day ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 4 weeks, 1 day ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
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@devopslinks added a new tool ServiceNow , 4 weeks, 1 day ago.
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@cmndrsp0ck started using tool Terraform , 4 weeks, 1 day ago.
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@cmndrsp0ck started using tool Ansible , 4 weeks, 1 day ago.
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@cmndrsp0ck started using tool Python , 4 weeks, 1 day ago.
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.