Interconnects vs Gatsbi: Which is Better in 2026?

• AI Research Idea Discovery
• AI Research Paper Generator
• Deep Research Agent
• Systematic Reviews & Meta-Analyses
• AI Patent Disclosure Drafting
• +1 more

Interconnects is a long-form newsletter written by Nathan Lambert, a researcher with experience inside major AI labs, covering how frontier models are trained (including RLHF and reasoning methods) and the strategic and political decisions of AI labs. It's aimed at readers who already grasp AI fundamentals — engineers, researchers, and investors — and want technical depth rather than surface-level news. Its main differentiator is the author's insider vantage point, delivering grounded analysis from someone whose day job is actually training AI models, read by over 82,000 subscribers.

Gatsbi is an AI research assistant that spans the full academic workflow: it detects research gaps and generates original ideas, auto-drafts formatted paper manuscripts with citations, figures, and equations, runs systematic literature reviews and meta-analyses, and prepares structured patent disclosure drafts. It's built for academic researchers, R&D engineers, and enterprise innovation teams who want ideation-through-manuscript support in one desktop or web app. What sets it apart is combining innovation discovery (idea generation with originality scores) with drafting, SLR/meta-analysis, and multilingual patent disclosure rather than covering only one stage.