Swift Concurrency Manifesto
The Swift Concurrency Manifesto, authored by Chris Lattner, outlines a long-term vision for introducing a first-class concurrency model to Swift, focusing on task-based abstractions like async/await and actors to elimina…
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The Swift Concurrency Manifesto, authored by Chris Lattner, outlines a long-term vision for introducing a first-class concurrency model to Swift, focusing on task-based abstractions like async/await and actors to elimina…
In Morten Skærsø and Claude's short story 'The Applicants,' an homage to Arthur C. Clarke, the Foundation's register of isomorphisms crosses its founding threshold, triggering the reading of the founder's minutes of thir…
A new wave of open-source AI assistants that run entirely on local hardware, with no subscription fees or data leaving the machine, includes MiniCPM Desk Pet, OpenHuman, and Jan AI, which has six million downloads and of…
AI-assisted coding tools are like race cars: fast but requiring skilled drivers, according to a developer's essay. The author argues that while AI can speed up coding, experienced developers are essential to ensure code …
German Chancellor Olaf Scholz returned from a February 2026 visit to China convinced that German manufacturers will fall behind Chinese competitors without faster AI adoption, leading him to schedule a similar trip to Sa…
White House science adviser Michael Kratsios accused Moonshot AI of distilling Anthropic's Fable 5 model to develop Kimi K3, a 2.8-trillion-parameter model released July 16, but experts say the timeline makes that claim …
Ray 2.55 makes Google Cloud TPUs a first-class accelerator, with official pre-built images and support across core libraries. The distributed-computing framework now treats TPU slices as schedulable resources, using GKE'…
Researchers introduced a trust-region search (TRS) algorithm that optimizes generative models by adjusting source noise, treating pre-trained models as black boxes. The method improved outputs in text-to-image, molecule,…
Cadent and Google Cloud executives argued at AdExchanger's Programmatic AI 2026 event that the advertising industry needs connected intelligence rather than more AI tools, as fragmented AI systems create smarter silos an…
David Heinemeier Hansson, creator of Ruby on Rails and co-owner of 37signals, discussed the release of Basecamp 5, his evolving stance on AI-assisted development, and the future of Rails in a podcast interview. Hansson r…
Boris Cherny, creator of Claude Code at Anthropic, shared 13 practical tips for using the tool, including running 5 instances simultaneously in separate git checkouts, using Opus 4.5 with thinking mode for all tasks, and…
A developer built a lightweight, local-first project tracker after finding existing tools overengineered for personal use. The tool features a dual-view system (spreadsheet and Kanban), dark mode, rich developer diaries …
Nous Research released Hermes Agent, an open-source AI agent framework that crossed 140,000 GitHub stars and became the most-used agent on OpenRouter, designed for self-improvement and reliability on local hardware. The …
Cognition co-founder Walden Yan and OpenInspect's Cole Murray discussed the rise of "async agents" — AI coding tools that operate in the background rather than requiring constant developer oversight — in a podcast releas…
Avinash Kaushik, chief strategy officer at Human Made Machine and former Google executive, says marketers should renegotiate agency contracts this month and expect savings of 25% to 75% on existing scopes of work due to …
Economists Alex Imas and Phil Trammell discuss the economic implications of artificial general intelligence, including optimal tax and redistribution policies, the potential for inequality, and what will remain scarce in…
Via v0.4.0 introduces a CLI prompt engine that learns from a developer's codebase history, improving prompts over time by storing successful patterns and past failures. Inspired by the MemAPO research paper, the tool run…
A software engineer explores the practicalities of running large language models locally, demystifying technical jargon like parameters, quantization, and MoE to help users choose and deploy models on their own hardware.
Researchers tested whether large language models can convert reader highlights from articles into durable spaced repetition flashcards, finding that while AI can identify a highlight's intent, it cannot yet determine whe…
Engineer Carlo Valenti built his own transformer engine from scratch in C over 18 months to understand AI claims of sentience, then ran the same litmus tests on his two toddlers, finding that his daughter's speech at age…