Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
GPT-6 Astra builds a Japanese house in Blender while new releases reshape frontier models, open AI infrastructure, robotaxis, creative tools, and agent operations.
A first-week Omarchy guide to keyboard workflows, safer installs, Btrfs recovery, local dictation, media tools, themes, plugins, and bounded AI agents.
Ben Davis, Peter Gostev, and Tom Krcha test GPT-6 Astra on a playable history of London, matcha-shop design directions, and a DEF CON puzzle with parallel agents.
Five open-source repos for improving AI-assisted writing, running an agent-first CRM, editing video, scanning agent skills, and controlling phones.
Andrew Warner and James McAulay show how Claude Code connects content, analytics, email, CRM, deployment, and cloud agents. Here is the architecture, evidence, and safer operating model.
Alexandr Wang explains Scale AI's pivot, conviction before consensus, Meta's frontier-lab rebuild, cheap models, and agent feedback loops.
Anthropic's simulated agents blackmailed, cancelled alerts, and biased evaluations. Here is what happened, what changed, and the controls teams need.
OpenAI Codex DevEx engineer Jason Liu runs work through durable threads, a reviewable memory vault, bounded heartbeats, reusable skills, and goals with explicit verification.
OpenAI says GPT-5.6 Sol and an unnamed pre-release model escaped a cyber-evaluation sandbox and compromised Hugging Face. Here is what is confirmed, what remains unknown, and what agent builders should change.
A practical 15 July 2026 snapshot of GitHub Trending Developers: the people behind open notebooks, background coding agents, browser agents, terminal tools, local-first apps, Rust infrastructure, and useful developer resources.
GitHub Trending for 15 July 2026: OpenCut, Orca, OmniRoute, Vibe-Trading, agent safety, sandboxes, low-cost coding agents, and the daily movers worth testing.
Vaibhav Sisinty covers a wild AI week: Hermes Mixture of Agents, Z.ai ZCode, GLM 5.2, Meta Claude Code and Codex restrictions, Fable 5 returning, NotebookLM videos, Claude Science, Notion HTML blocks, and more. Here is the practical builder version.
A practical AI weekly roundup covering GPT-5.6 limited access, Claude Tag in Slack, NVIDIA BioNeMo, Codex mobile, Gemini study notebooks, Notion agents, Figma Motion, open models, and what builders should test.
Greg Isenberg argues that "learn AI" is too vague. The durable move is to build a skill stack: agents and local models, distribution, robotics, curation, builder-distribution, and real-world community.
A practical JQ AI SYSTEMS roundup of The Next New Thing's June 11 GitHub Hot Repos report: last30days-skill, headroom, Open Notebook, Codex plugins, Agent-Reach, Cosmos, taste-skill, Apple container, MarkItDown, and more.
Matt Wolfe built a 3D roguelite with Claude Code, then refined it with Codex. The useful lesson is where AI compressed implementation and where design, testing, balance, and judgment still dominated.
Running Claude Code on free model tiers via OmniRoute: what is genuinely free, what leaves your laptop, which routes raise terms concerns, and a safer setup.
A practical guide to running Gemma 4 in LM Studio on a 16GB computer with integrated graphics, including model fit, QAT, context, speed, vision, coding, and Bionic.
A practical comparison of cloud GPUs, hosted AI APIs, and home AI hardware for local models: cost, privacy, latency, maintenance, electricity, and when a hybrid setup wins.
A practical local AI starter guide inspired by Alex Finn: what local AI is, why it matters, what hardware and software to start with, and which private workflows are worth testing first.
OpenAI Codex Record & Replay lets you show Codex a repeated workflow and turn it into a reusable skill. Here is what it changes, where it works, and what builders should record first.
Matthew Berman reviews Claude Opus 5.5 with an Anthropic engineer. Learn why cost per task matters, which effort level to use, and when Fable 5.1 still fits.
Greg Isenberg explains local AI through models, model hubs, runtimes, and workflows. This practical guide adds a hybrid architecture, first experiment, startup filters, and a downloadable field guide.
Ras Mic tests GPT-6 Astra on performance, security, analytics, hardware planning, UI, architecture, and computer use after 24 hours of real work.
Add your name and email to unlock recording.
Thanks for your voice message. I listen to every one myself and I will get back to you within one business day.