AI tool comparison
AI-Scientist-v2 vs Consensus
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Research & Science
AI-Scientist-v2
Sakana AI's autonomous agent that writes peer-reviewed papers
50%
Panel ship
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Community
Free
Entry
AI-Scientist-v2 is Sakana AI's second-generation autonomous research system that generates scientific papers end-to-end — from hypothesis formation through experimentation, data analysis, and manuscript writing. It's historically notable for producing the first AI-authored workshop paper accepted through peer review. The v2 system removes reliance on human-authored templates that constrained the original, instead using a progressive agentic tree search guided by an experiment manager agent. This makes it more exploratory across ML domains, though Sakana acknowledges it trades v1's high template success rate for broader generalization with lower per-run success. Costs run roughly $20-25 per full research run using Claude 3.5 Sonnet. The system integrates with Semantic Scholar for literature review and supports OpenAI, Gemini, and Claude via AWS Bedrock. The custom license requires disclosure of AI use in resulting publications — a meaningful ethical constraint for a system that could otherwise flood conferences with AI-generated submissions.
Search & Research
Consensus
AI-powered academic search with evidence-based answers
100%
Panel ship
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Community
Free
Entry
Consensus searches 200M+ scientific papers to provide evidence-based answers. AI extracts findings from peer-reviewed research, helping users find scientific consensus on any topic.
Reviewer scorecard
“For ML research teams, the $20-25 per run cost to get a draft paper with experiments is genuinely interesting as an ideation tool. The tree search approach that explores multiple experimental directions in parallel is the kind of thing that would take a grad student weeks.”
“Sakana's own documentation says v2 has lower success rates than v1 and is 'more exploratory.' Paying $25 for a failed research run with no guarantee of a usable output isn't a workflow most researchers will adopt. The peer review acceptance was a workshop paper — the lowest bar in academic publishing.”
“This is the beginning of AI as a genuine research collaborator, not just a writing assistant. Within five years, AI-generated hypotheses tested by autonomous agents will be standard practice in computational fields. AI-Scientist-v2 is primitive version 0.2 of that future.”
“This is the kind of tool that makes you wonder how you worked without it.”
“Science communication is a craft, and the idea of fully automating it makes me uncomfortable. The best papers are ones where researchers deeply understand and can defend every methodological choice — a system that writes the paper for you undermines that accountability.”
“Fast, reliable, and the docs are actually good. Ship.”
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