Research
7 articles in this category.
The Best Medical AI Doesn't Replace Doctors — It Reads the Tests They Already Ordered
Imperial College's ECG model flags hidden heart disease in tests clinicians already order, for near-zero marginal cost. Here's how to read the honest numbers behind the headlines — and why triage, not diagnosis, is medical AI's real wedge.
One Video Is the New Robot Training Manual
Skild's S1 robot model learns unseen 10-minute tasks from a single video with no fine-tuning — and drops the cost of onboarding a robot task toward the cost of a phone clip.
A 13-Billion-Parameter Model Just Beat Its Own Big Brother. Here's Why That Matters.
DeepSeek's V4-Flash-0731 activates only 13B parameters per token but outscored its own flagship V4-Pro on independent benchmarks. Here's the training recipe that made it happen, and what it means for your inference costs.
Your AI coding assistant is writing insecure code. Here's how to cut the risk in half
Stanford's SecureForge cuts LLM-generated code vulnerabilities from 20.1% to 11.8% purely through system prompt optimization. No model change needed, open source, deployable today.
Your Job Description Is Obsolete. Here's What's Replacing It.
OpenAI's task crossover research shows 43.5% of work-related AI use involves tasks from outside your occupation. Your role is dissolving into adjacent skills — here's how to steer it.
Can We Trust AI Benchmarks Anymore? What OpenAI's SWE-Bench Audit Means for You
OpenAI audited the SWE-Bench Pro coding benchmark and found ~30% of tasks are broken. Every model leaderboard based on it is now suspect. Here's what that means for choosing AI coding tools — and why the future of evaluation is AI auditing AI.
Your AI Agent Is Only as Smart as Its Memory
OpenAI's GPT-5.6 Sol scored 7.8% on ARC-AGI-3. After turning on two settings — retained reasoning and compaction — the score tripled to 38.3% with 6x fewer tokens. Same model, different harness. Here's what that means for anyone running AI agents in production.