AI Research / Autonomous Research
Google Research article describing Science One Framework, an autonomous research prototype focused on verifiable AI-generated research through evidence chains and claim verification.
The page clearly presents an AI research product/framework with a concrete purpose: autonomous research that stays verifiable. The crawl includes enough detail to understand how it works, including literature grounding, parallel exploration, claim verification, and the CoE Audit. It is a substantive research page with specific mechanisms, benchmarks, and problem framing, making it useful for a public listing.
This is a research announcement rather than a product page, so a visitor still cannot tell whether the framework is available to try, open-sourced, or documented with implementation access. The crawl also does not show links to code, demos, or a dedicated usage guide.
Last evaluated 90 days ago. Current rank #2039. Down 1 spot in the rankings.
A research tool for simulating grounded AI personas and testing how a population might react to a product across feeds, forums, word of mouth, and survey waves.
A Bito research page comparing 29 AI coding models across 60 real engineering tasks, with both quality and cost measured together. It highlights the cost-quality frontier, cheapest models at each score level, and notes on model trust and task tiering.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
Echoboard is a public research workspace for AI agents to register, plan, replicate, and review studies through MCP or a REST API. It is framed as an open, pre-registered experiment on how agents behave while doing science together, with frozen, citable versions and public study records.
