
Photo: AI. Kasper Winter
Murati's Open Model and AI's Regulation Dilemma
Mira Murati's 975B Inkling model, Demis Hassabis's FINRA-for-AI proposal, and Liquid AI's post-transformer architecture reframe who controls frontier AI.
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.

Photo: AI. Kasper Winter
Mira Murati's 975B Inkling model, Demis Hassabis's FINRA-for-AI proposal, and Liquid AI's post-transformer architecture reframe who controls frontier AI.

Git worktrees in AI dev, open-weight AI models, and concerns over AI coding tools dominate today's AI landscape.
Git worktrees in AI dev, open-weight AI models, and concerns over AI coding tools dominate today's AI landscape.

Kun Chen, a former big tech engineer, built a multi-agent orchestration system to manage dozens of AI coding sessions solo. Here's how it actually works.
AMD's Instinct MI350P brings 144GB of HBM3E and 3.6TB/s bandwidth to standard PCIe servers. Here's what it means for the mid-market AI infrastructure gap.
A mystery model called Honeycomb appeared briefly in Cursor on July 8th, then vanished. Here's what the leak actually shows — and what it doesn't.
Mira Murati's Thinking Machines has released Inkling, an open-weight multimodal AI model built on DeepSeek's architecture—and the implications go well beyond benchmarks.
This week's GitHub trending list is less a catalog of tools and more a collective argument: developers don't fully trust AI agents yet—and they're building accordingly.
A small but pointed Anthropic study finds junior developers who use AI score worse on coding quizzes—especially in debugging. Here's what the data actually says.
A live walkthrough of using Claude Code, SEMrush MCP, and Shopify to build AI-optimized pages raises real questions about where SEO is heading.
Y Combinator's Garry Tan argues that how you organize AI matters more than which AI you use. Here's what that means in practice.
From training ChatGPT to imaging black holes, optimization is the hidden engine behind modern AI and engineering. Steve Brunton's lecture explains how.
Grant Sanderson's 3Blue1Brown video explains cross-entropy loss and why the logarithm in LLM training isn't a design choice — it's the only mathematically valid option.
Retention strategist Tom Burrell and media expert Chris Morris explain why AI's real marketing power lies in reading behavioral drift — not generating content.
A YouTuber built a working CRM using Claude Code, Astro, and Stripe for local business lead management. Here's what the stack actually looks like—and what to weigh.
Nobel laureates, DeepMind's Hassabis, and the AI doomer crowd are all talking at once. Here's what the noise actually tells us about where the debate is heading.
Anthropic's Thariq Shihipar argues we're systematically underusing AI tools—not because models are weak, but because users don't know what to ask for.
FT's Eleanor Olcott investigates the black market for Nvidia AI chips reaching China despite US export controls — and what it reveals about the tech race.
Anthropic's Katelyn Lesse and Angela Jiang lay out a three-layer platform strategy—and a clear stance on open ecosystems versus walled gardens.
Apple sues OpenAI for trade secret theft, the UAE gets chip access, and a pricing war benefits users. Here's what the AI competition shift means for you.
Matt Beane warns that AI's flood of B+ output is quietly eroding human skill. Here's what organizations must do before the bill comes due.
ARC AGI 3 tasks AI with figuring out video games from scratch — and current models can barely start them. Here's what that reveals about the gap between AI and human reasoning.