Beyond Szabo Scaling

Google expands Gemini Enterprise, consolidates Vertex AI services to simplify agent deployment

Gemini Enterprise Agent Platform aims to help organizations to build, scale, govern, and optimize AI agents

Union.ai: Ship fast. Scale big. Orchestrate the future.

The AI development platform to go from experimentation to production faster. Orchestrate, train, and serve AI.

Flyte | One Platform for Your AI Orchestration Needs

Dynamic, resilient AI orchestration. 80M+ downloads.

Micron and Anthropic Announce Strategic Agreement to Scale Next-Generation AI Infrastructure

Micron and Anthropic Announce Strategic Agreement to Scale Next-Generation AI Infrastructure...

The Bitter Lesson: Rethinking How We Build AI Systems

The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed solutions. I used to believe that clever orchestrations and sophisticated rules were the key to building better AI systems. That was a typical sofware dev mentality. You build a system, look for edgecases, cover them and you are good to go. Boy, was I wrong.

A PM's Guide to AI Agent Architecture: Why Capability Doesn't Equal Adoption

A complete guide to agent architecture, orchestration patterns, trust strategies, and adoption plans for PMs building AI agents.

The path to ubiquitous AI | Taalas

By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models lag far...

Teaching AI to Optimize AI Models for Edge Deployment

How our agent, Möbius automated a Core ML port in ~12 h (vs. 2 weeks), hit 0.99998 parity, and made it 3.5× faster, while staying on the CPU.

Anthropic and Amazon expand collaboration for up to 5 gigawatts of new compute

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Context Engineering for AI Agents: Lessons from Building Manus

This post shares the local optima Manus arrived at through our own "SGD". If you're building your own AI agent, we hope these principles help you converge faster.

scaleapi/SWE-bench_Pro-os

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Desktop, Touch, Browser, Now AI? The Next OS in Computing

Explore how AI is reshaping human-computer interaction, from command lines to modern SaaS. Key insights on the next computing paradigm for startups and tech leaders.

The Productivity Is Real. The Scaling Isn't.

What running an AI agent team taught me about why organizations can't do what one person can.

Kimi K3: The open-weights escalation

The global implications on the AI ecosystem.

Human–AI Collaboration at Scale: Task Criticality, Agency, and Friction Across 250,000 Conversations

Stanford University researchers analyzed nearly 250,000 real-world human-AI conversations from Claude.ai to understand collaborative dynamics, finding that over half of interactions involve...