Rollups.
Automated digests, research breakdowns, technical notes, and developer insights.
Speculative Decoding Brings VLMs to the Edge
Liquid AI's DSpark draft model achieves 3x faster vision-language inference on-device and 2.66x on H100s while adding just 8.9% parameters.
Claude Opus 5.5 and GPT-6 Luna: The Price War Gets Serious
OpenAI and Anthropic released major model updates with aggressive pricing cuts. What does this mean for your applications and the future of AI infrastructure?
Professional Skepticism in an AI-Driven Development World
Exploring how developers can apply critical thinking, test-driven development, and rigorous testing practices to build reliable AI systems and agents.
Latest Rollups
Speculative Decoding Brings VLMs to the Edge
Liquid AI's DSpark draft model achieves 3x faster vision-language inference on-device and 2.66x on H100s while adding just 8.9% parameters.
Claude Opus 5.5 and GPT-6 Luna: The Price War Gets Serious
OpenAI and Anthropic released major model updates with aggressive pricing cuts. What does this mean for your applications and the future of AI infrastructure?
Professional Skepticism in an AI-Driven Development World
Exploring how developers can apply critical thinking, test-driven development, and rigorous testing practices to build reliable AI systems and agents.
Speculative Decoding Brings VLMs to the Edge
Liquid AI's DSpark drafter achieves 3.13x speedups on-device by applying speculative decoding to vision-language models, with day-one support for llama.cpp and MLX.
Skepticism as a Superpower in the Age of AI Testing
Professional skepticism matters more than ever. David Burns on test-driven development for AI agents, flaky tests, and building reliable systems.
Meta's Muse Exposes a New Model for AI Computers
Meta's Muse VM deliberately exposes its filesystem, marking a philosophical shift in how AI platforms should work compared to ChatGPT and Gemini.
Claude Opus 5.5 and GPT-6 Luna Start a Price War
Anthropic and OpenAI released new models today with aggressive pricing. Here's what it means for building AI applications.
Open Source Methodologies Are Reshaping How Enterprises Build Software
Open source practices are moving beyond hobby projects into enterprise development. Here's why that matters for how teams ship code at scale.
Speculative Decoding Meets Vision: LFM2.5-VL Gets the Speed Treatment
Liquid AI's DSpark draft model accelerates vision-language inference by 2.3x on-device and 20x on GPU, but Amdahl's law reveals the real bottleneck.
Docker Sandboxes Give AI Agents Real Boundaries
Docker's new Sandbox Kits and Cloud Sandboxes create reproducible, isolated environments for AI agents. Here's why that matters for the future of autonomous tooling.
Professional Skepticism in an AI-Driven Testing World
Why developers need healthy skepticism when adopting AI agents, test-driven development for agentic systems, and what flaky tests really tell us about our code.
Google's AI Video Co-Director Solves the Long-Form Generation Problem
Google researchers introduce a multi-agent framework that maintains visual consistency across minutes-long AI videos, tackling character drift and cascading failures in generative pipelines.
Speculative Decoding Hits Vision Models: What Developers Need to Know
Liquid AI's DSpark draft model accelerates vision-language inference 2-3x on edge devices and 20x on H100s. Here's what it means for your stack.
Building Fast Diff Surfaces: How GitHub Handles Million-Line Pull Requests
Inside the architecture behind rendering massive pull requests with hundreds of comments performantly. A deep dive into virtualization, geometry, and engineering trade-offs.
GPT-6 Luna is ridiculously cheap, and the AI price war just got real
OpenAI and Anthropic dropped massive price cuts today. Here's what it means for developers building with LLMs in 2026.