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138 writings found
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Meta's RCCLX: Why AMD's GPU Communication Stack Just Got Interesting
Meta open-sources RCCLX with Direct Data Access and FP8 collectives for AMD GPUs. A deep look at what this means for multi-GPU AI workloads.
AI as an Organizational Multiplier: Why Your Team's Experience Varies Wildly
AI amplifies what you're already doing. Why some teams see half the incidents while others face double, and what agent architecture teaches us about control.
AI as an Organizational Multiplier: The Case for Fine-Scoped Agents
How AI amplifies existing organizational practices, why averages deceive us, and the emerging patterns for safer agentic systems in production.
Meta's RCCLX: Why AMD GPU Communication Just Got Interesting
Meta open-sources RCCLX with Direct Data Access and low-precision collectives, potentially reshaping distributed AI workloads on AMD hardware.
AI as an Organizational Multiplier: Why Your Company's Experience Will Be Wildly Different
AI amplifies what you already do, for better or worse. From agentic patterns to security constraints, here's what actually matters in production.
Teaching AI to Navigate Maps: Why Path Tracing Matters More Than You Think
Google's MapTrace tackles a fundamental gap in multimodal AI: teaching models to trace valid paths on maps through synthetic data generation.
Meta Open Sources RCCLX: AMD Gets Serious Performance Boosts for AI Workloads
Meta's RCCLX brings Direct Data Access and low-precision collectives to AMD GPUs, delivering 10-50% speedups for LLM inference on MI300X hardware.
Teaching AI to Read Maps: Why Your GPS Assistant Still Gets Lost
Google's MapTrace tackles a fundamental gap in multimodal AI: teaching models to actually navigate maps instead of just recognizing them.
Teaching AI to Read Maps: Google's MapTrace Pipeline
Google's synthetic data approach teaches language models spatial reasoning through 2M generated map paths, revealing a fundamental gap in AI capabilities.
Salesforce's Theatrical Earnings Call Reveals SaaS Industry's Existential Crisis
Benioff's leather jacket and customer testimonials can't hide the fundamental question: will AI agents make per-seat SaaS licensing obsolete?
I Built a Mac Presentation App in 45 Minutes Using AI Coding Agents
Vibe coding a native macOS presentation tool with Claude Code: what it means for engineers who want to expand beyond their comfort zones
Knowledge Priming: Teaching AI Assistants Your Codebase Like You'd Onboard a Human
Stop fighting AI's generic patterns. Treat project context as infrastructure and watch code quality transform through systematic knowledge priming.
Teaching AI to Actually Navigate Maps: Why Path Tracing Is Harder Than It Looks
Google's MapTrace shows how synthetic data generation can teach multimodal LLMs spatial reasoning they never learned from internet scraping.
The Map That Became the Territory: AI, Specifications, and What We Mean When We Say 'I Built This'
On AI agents, observability, bespoke software, and the uncomfortable question of who actually built what when LLMs generate our code.
Agentic Engineering: The Professional's Approach to AI-Assisted Development
Simon Willison's new project documents coding patterns for the emerging discipline where professional engineers use AI agents that generate, execute, and iterate on code.