Atinary’s Boston lab opened in February 2026 with autonomous platforms that design, run, and analyze their own experiments continuously. A concurrent Nature paper asked whether robot labs could replace biologists. The honest answer: not yet, and not in the ways most people assume.
The AI coding assistant market has split into three tiers — inline completion, terminal agents, and fully autonomous cloud agents. Claude Code, GitHub Copilot, and Devin represent each tier clearly. Here is how their benchmark scores, pricing, and real-world performance stack up in March 2026.
MIT’s 2025 GenAI Divide report found that 95% of enterprise AI pilots fail to deliver measurable P&L impact. The culprits aren’t the models — they’re organizational: poor data quality, misallocated budgets, and AI tools that never learn. Here’s what separates the 5% that make it to production.
OpenAI’s GPT-5.2 achieved a perfect 100% on AIME 2025 math, while Google’s Gemini 3.1 Pro scored 77.1% on ARC-AGI-2 — more than double GPT-5.2’s 52.9% on that test. These results measure different capabilities, and choosing the right frontier model for your workload requires understanding exactly what each benchmark is and isn’t telling you.
Systematic reviews that once took 18 months now take weeks. In 2026, Elicit, ResearchRabbit, and Scite.ai have moved from curiosity to core research infrastructure — but using them well requires understanding where they break. Here is an honest account of what each tool does, what the academic evidence says about their accuracy, and where human judgment remains irreplaceable.
Three Stanford studies quantify what generative AI actually does to workforce productivity—and the answer is more nuanced than either optimists or skeptics suggest. The gains are real (up to 87% task acceleration for software developers), but they skew toward less experienced workers, and entry-level employment in automation-heavy fields is already declining.
Atinary’s Boston lab opened in February 2026 with autonomous platforms that design, run, and analyze their own experiments continuously. A concurrent Nature paper asked whether robot labs could replace biologists. The honest answer: not yet, and not in the ways most people assume.