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When Single Agents Beat Swarms: The Case Against Multi-Agent Systems
Stanford researchers found LLM teams fail to match their expert agents by up to 37.6%. Independent multi-agent systems amplify errors 17.2 times. The evidence for single agents over swarms is stronger than the industry admits.
Agents Can Connect. They Still Can't Communicate.
MCP and A2A solved the plumbing. The hard part — agents actually communicating meaning — remains wide open.
Obsidian's CLI Turns Your Second Brain Into an API
Obsidian 1.12 ships an official CLI with 100+ commands. Here's what works, what breaks, and why AI developers should care.
Vibe Coding: The Backlash Phase
Collins Dictionary named 'vibe coding' word of the year 2025. Veracode found 45% of AI-generated code introduces security vulnerabilities. The disillusionment phase is here, and the data explains why.
The Inference Budget Just Got Interesting
OpenAI's o1 made headlines for "thinking harder" during inference. But the real story isn't that a model can spend more tokens on reasoning: it's that...
Inference-Time Compute Is Escaping the LLM Bubble
Explore how inference-time compute scaling lets AI models think longer and reason deeper, boosting accuracy without retraining.
Your AI Agent Can Reason, Plan, and Code. It Still Can't See the Web.
AI agents can reason, plan, and code. But they still can't reliably see the live web. The observation layer is the real bottleneck for production agents.
The International AI Safety Report 2026: What 12 Companies Actually Agreed On
The most comprehensive global AI safety assessment ever assembled was released last week. The International AI Safety Report 2026, led by Turing Award winn
Inference-Time Scaling: Why AI Models Now Think for Minutes Before Answering
OpenAI's o1 model spends 60 seconds reasoning through complex problems before generating a response. GPT-4 responds in roughly 2 seconds. This isn't a...
Multi-Agent Systems: The 90% Performance Jump Nobody's Talking About
If 2025 was the year of AI agents, 2026 is shaping up as the year of multi-agent systems. Internal evaluations from early 2025 surfaced something striking: