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Let’s Speak
Aug 19, 2026

You don’t need a frontier model. You need a verifier.

In brief On agentic search, small models usually produce a correct answer and then fail to pick it. Majority voting…
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  • Labs in Front
Jul 15, 2026

Better and cheaper together: Open models explore, frontier models patch

Jul 7, 2026

Improving Best-of-N with Budget-Aware Execution for SWE Agents

Jun 25, 2026

Token spend isn’t going down. You need more than naive routing to manage it 

Jun 24, 2026

Tipping the scales: Merging weak agents into a state-of-the-art deep researcher

Jun 4, 2026

First scale, then enrich: How the right execution strategy helped us reach state-of-the-art on SWE-rebench

May 13, 2026

Reproducing Variance: Caching in Agentic LLM Pipelines

Apr 28, 2026

Reaching SOTA Performance Without Breaking the Bank

All That Glitters: When "Gold-Like" Answers Mask Functional Failures on Coding Agent Benchmarks
Apr 14, 2026

All that glitters: When “gold-like” answers mask functional failures on coding agent benchmarks

Engineering the subconscious: Why Claude Code isn't enough to build AI systems
Apr 5, 2026

Engineering the subconscious: Why Claude Code isn’t enough to build AI systems

Stride and Prejudice: How a 32-bit overflow corrupted a CUDA kernel (and stayed hidden for weeks)
Mar 25, 2026

Stride and prejudice: How a 32-bit overflow corrupted a CUDA kernel (and stayed hidden for weeks)

Mar 17, 2026

Mind the gap: What separates demo agents from production systems

Where enterprise AI deployments actually get stuck
Mar 10, 2026

Where enterprise AI deployments actually get stuck

1 2 3 … 12

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