Practical AI

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Making artificial intelligence practical, productive and accessible to everyone.

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Showing 1-10 of 15

The Myth of Model Wars: Open vs Closed AI in 2026 thumbnail

The Myth of Model Wars: Open vs Closed AI in 2026

7 May 2026

AI integration into physical systems via embedded tech in retail, manufacturing, and logistics is driven by microelectronics democratizing access, emphasizing infrastructure and edge applications over model types, while navigating challenges in scalability, tooling, and aligning AI with real-world business needs.

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The mythos of Mythos and Allbirds takes flight to the neocloud thumbnail

The mythos of Mythos and Allbirds takes flight to the neocloud

23 Apr 2026

Allbirds' shift to AI compute infrastructure amid financial struggles and a 700% stock surge sparks discussions on neocloud scalability, embedded AI trends in retail/manufacturing, Anthropic's Mythos AI usage, ethical risks of AI-generated content, token maxing critiques, and calls for improved governance and legal frameworks to address AI efficiency and security challenges.

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Open Source Self-Driving with Comma AI thumbnail

Open Source Self-Driving with Comma AI

16 Apr 2026

OpenPilot, an open-source self-driving system, evolves from a niche project to a GitHub leader through end-to-end imitation learning and diffusion-based simulation, contrasting with commercial systems by prioritizing innovation over scalability, while facing hardware and adaptability challenges in advancing autonomous driving.

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Post-Mortem of Anthropic's Claude Code Leak thumbnail

Post-Mortem of Anthropic's Claude Code Leak

9 Apr 2026

A 2026 leak of Anthropic's Claude codebase, via a malicious Axios package and exposed internal tools, exposed critical AI safety risks, supply chain vulnerabilities, and the outsized importance of the "agent harness" infrastructure in enabling advanced capabilities beyond model weights.

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Agentic Coding and the Economics of Open Source thumbnail

Agentic Coding and the Economics of Open Source

2 Apr 2026

AI-driven development tools like Claude Code are reshaping open-source ecosystems by lowering software creation barriers, potentially shifting focus from collaborative projects to individual AI-assisted solutions, raising concerns about reduced human engagement, sustainability, and the evolving balance between machine efficiency and human oversight in software development.

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AI at the Edge is a different operating environment thumbnail

AI at the Edge is a different operating environment

25 Mar 2026

Edge AI in 2026 focuses on deploying efficient, task-specific models at data sources for real-time applications like automation and IoT, driven by silicon advances, economic ROI, and challenges like latency and privacy, with strategies such as model cascading and hardware-software synergy.

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Humility in the Age of Agentic Coding thumbnail

Humility in the Age of Agentic Coding

17 Mar 2026

AI's transformative impact on software development includes productivity gains through tools like code generation, challenges in accuracy and reliability, debates over factual limitations and non-deterministic outputs, ethical concerns around job displacement, and the integration of AI into workflows via projects like Rue, which explore AI-human collaboration and the evolving role of developers.

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Showing 1-10 of 15