by Noah Gift
A weekly podcast on technical topics related to cloud computing including: MLOPs, LLMs, AWS, Azure, GCP, Multi-Cloud and Kubernetes.
Language
🇺🇲
Publishing Since
12/8/2021
Email Addresses
1 available
Phone Numbers
0 available
March 21, 2025
Pragmatic Labs has launched updated interactive labs with enhanced Rust learning capabilities, featuring a browser-based development environment with Cargo project creation, code compilation, and Visual Studio integration. The platform hosts numerous applied Rust courses covering GUI development, serverless, data engineering, AI, MLOps, and Python integration, positioning itself as a premier Rust learning destination. Additionally, the platform plans to expand with hundreds of new labs showcasing cutting-edge 2025 technologies including local LLMs (Olamma), Zig as a C replacement, WebSockets for custom terminals and interactive dashboards, and WebAssembly for browser-based high-performance computing.
March 21, 2025
Meta and OpenAI used Library Genesis (LibGen), a pirated book repository containing 7.5 million books and 81 million research papers, to train their AI models. Mark Zuckerberg reportedly approved this usage. Meta employees understood the "medium-high legal risk" involved and implemented measures to hide their actions, including removing copyright notices and ISBN numbers.
March 16, 2025
Rust's multiple entry points pattern enables unified codebase deployment across heterogeneous execution contexts (CLI, web services, WASM) while maintaining memory safety guarantees and type consistency. Implementation leverages Cargo's binary target specification to encapsulate core logic in library crates, with interface-specific code isolated in discrete entry points. The development workflow prioritizes CLI-first iteration for rapid feedback loops before expanding to stateless service endpoints that benefit from Rust's ownership model. This approach yields compile-time optimization advantages including architecture-specific binary tuning, reduced memory footprint through shared components, and elimination of environment disparity issues in CI/CD pipelines. The pattern fundamentally shifts from runtime-interpreted prototyping to compiled systems with unified error handling and data serialization across all deployment targets.
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