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More Context Doesn't Kill RAG. It Just Changes the Fight.

More Context Doesn't Kill RAG. It Just Changes the Fight.

Long-context LLMs now hit a million tokens, but a persistent 10% accuracy gap and punishing costs keep RAG very much in the fight.

4 min read
The 12-to-72 Problem: Computer-Use Agents Hit Human Scores but Miss the Point

The 12-to-72 Problem: Computer-Use Agents Hit Human Scores but Miss the Point

Computer-use agents jumped from 12% to 72% on OSWorld in 18 months. The scores look like progress. The latency and efficiency numbers tell a different story.

4 min read
Models Training Models: The Promise and Peril of Synthetic Data

Models Training Models: The Promise and Peril of Synthetic Data

Microsoft's Phi-4 trained on more than 50% synthetic data and beat GPT-4o on graduate science benchmarks. The old rules about training data are changing fast.

4 min read
Agent Browsers Need Traffic Policy, Not Bot Blocks

Agent Browsers Need Traffic Policy, Not Bot Blocks

Agentic browser traffic is no longer a rounding error in website operations. HUMAN Security's 2026 benchmark report says traffic from AI agents and...

5 min read
Open Source AI Impact: Who Wins When Models Get Cheap

Open Source AI Impact: Who Wins When Models Get Cheap

Open source AI used to be the cheaper substitute. In 2026, that is too small.

11 min read
Why Multi-Agent Papers Don't Replicate in Production

Why Multi-Agent Papers Don't Replicate in Production

A paper from Tran and Kiela tested 28 multi-agent configurations across four architectures: Sequential, Parallel, Debate, and Ensemble. Every single one...

7 min read
Types of AI Agents: The 2026 Classification That Actually Helps

Types of AI Agents: The 2026 Classification That Actually Helps

The reactive/deliberative/hybrid taxonomy is broken. The 2026 classification that actually helps: coding agents, research agents, computer-use agents, task agents, multi-agent orchestrators, and self-improving agents.

18 min read
Agent Memory Needs Quarantine, Not Recall

Agent Memory Needs Quarantine, Not Recall

Persistent memory is moving from chat convenience into personal-agent infrastructure. The failure mode is not just forgetting. It is remembering the wrong...

4 min read
Multimodal Agents Score 40% Where Humans Score 72%

Multimodal Agents Score 40% Where Humans Score 72%

Every frontier lab now ships models that see, hear, and read. The assumption is that more modalities mean more capable agents. The benchmarks tell a...

6 min read
Computer-Use Agents Fail Long Workflows, Not Mouse Clicks

Computer-Use Agents Fail Long Workflows, Not Mouse Clicks

Computer-use agents are clearing more short benchmark tasks, but the new failure line is workflow length. A June 2026 benchmark called OSWorld 2.0 tests...

5 min read
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