Briefing
Gemini in Chrome is INCREDIBLE! Google's Agentic AI Can Automate ANY Browser Task!
Google has integrated Gemini AI directly into Chrome, creating an agentic browser that can see, interact with, and automate web tasks like a human user. This represents a shift from passive browsing...
The Research Proves: MORE AI agents makes systems WORSE, not better
Research from Google and MIT reveals that adding more AI agents to a system actually degrades performance rather than improving it. Coordination overhead grows faster than capability, creating...
The Research Proves: MORE AI agents makes systems WORSE, not better
Recent research from Google and MIT reveals that adding more AI agents to a system actually degrades performance rather than improving it. The study found that coordination overhead grows faster than...
KIMI K2.5 AGENT SWARM is INSANE
Wes Roth tests the newly released Kimi K2.5 open-source AI model, evaluating whether it lives up to its benchmark claims in real-world coding and web development tasks. Unlike previous Chinese models...
KIMI K2.5 AGENT SWARM is INSANE
Kimi K2.5 is a new open-source AI model that introduces an "agent swarm" mode capable of deploying up to 100 sub-agents working in parallel. The video tests whether this model can replicate complex...
Adding dynamic features to an aggressively cached website
Simon Willison explains how to add dynamic features to websites with aggressive caching by using client-side techniques that bypass server-side rendering. His blog uses 15-minute Cloudflare caching...
Adding dynamic features to an aggressively cached website
Simon Willison explains how he added dynamic features to his blog that work despite aggressive 15-minute Cloudflare caching. The key insight is using client-side JavaScript with localStorage to add...
Why 40% of Multi-Agent Projects FAIL
Gartner predicts 40% of AI agent projects will fail by 2027, but successful practitioners like Cursor and others have independently discovered counterintuitive architectural solutions that solve...
Why 40% of Multi-Agent Projects FAIL
Gartner predicts 40% of multi-agent AI projects will be cancelled by 2027. The main reason for failure is that teams are building based on social media hype rather than learning from practitioners...
The Five Levels: from Spicy Autocomplete to the Dark Factory
Dan Shapiro proposes a five-level framework for AI-assisted programming evolution, from basic autocomplete to fully autonomous software development where humans never review AI-generated code. The...