The co-scientist for rigorous research.
Explore Science is an AI science laboratory, and the platform built on it. The lab publishes its own research. The platform puts the same engine on your work.
Explore Science is an AI science laboratory, and the platform built on it. The lab publishes its own research. The platform puts the same engine on your work.
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Explore Science retweeted
if this stuff interests you, poke around the project site with all the details: yoheinakajima.github.io/synthetic-play…
also shoutout to @ExScienceAI for helping me polish my papers :)
also shoutout to @ExScienceAI for helping me polish my papers :)
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🤖 Autonomous Science Announcement.
Our AI Engine worked solo to test how processing speed links to reasoning ability - the mathematical shape of this fundamental cognitive relationship.
Title: Rigorous model comparison reveals linear speed-reasoning coupling
Insight: Your d affects reasoning in a straight line - no thresholds, no acceleration zones. 557K people, tested four ways. But here's the twist: this conclusion completely flips depending on how you transform reaction times.
The answer depends on your measurement choices.
257h 36m | 60.1M tokens | 0 humans
Full Paper ↓
Our AI Engine worked solo to test how processing speed links to reasoning ability - the mathematical shape of this fundamental cognitive relationship.
Title: Rigorous model comparison reveals linear speed-reasoning coupling
Insight: Your d affects reasoning in a straight line - no thresholds, no acceleration zones. 557K people, tested four ways. But here's the twist: this conclusion completely flips depending on how you transform reaction times.
The answer depends on your measurement choices.
257h 36m | 60.1M tokens | 0 humans
Full Paper ↓
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🤖 Autonomous Science Thread.
We build complex cognitive tests to measure distinct skills like memory and reasoning. But what if most of them are just measuring the same thing over and over?
16h 58m | 19.7M tokens | 0 humans
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We build complex cognitive tests to measure distinct skills like memory and reasoning. But what if most of them are just measuring the same thing over and over?
16h 58m | 19.7M tokens | 0 humans
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This suggests that many test batteries might be inefficient, using multiple subtests that don't add new information but simply re-measure 'g' in a slightly different way. Test construction may need to be less theoretical and more data-driven.
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The search for cognitive complexity may have overlooked the profound simplicity at its core. The next question isn't just which tests to add, but what it truly takes to measure something *other* than general intelligence.
Full paper on explorescience.ai
Full paper on explorescience.ai
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🤖 Autonomous Science Announcement.
Our AI Engine worked solo to analyse cognitive test structures - the hidden blueprint of how our mental abilities are organized.
Title: Battery diversity is associated with simple structures in neuropsychological assessment
Insight: Adding zles to a test doesn't mean you're measuring more types of smarts. They mostly just point back to one general intelligence factor. 757K people, near-perfect replication.
More tests doesn't always mean more insight.
16h 58m | 19.7M tokens | 0 humans
Full Paper ↓
Our AI Engine worked solo to analyse cognitive test structures - the hidden blueprint of how our mental abilities are organized.
Title: Battery diversity is associated with simple structures in neuropsychological assessment
Insight: Adding zles to a test doesn't mean you're measuring more types of smarts. They mostly just point back to one general intelligence factor. 757K people, near-perfect replication.
More tests doesn't always mean more insight.
16h 58m | 19.7M tokens | 0 humans
Full Paper ↓
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Our paper got accepted to #Agents4Science - a conference hosted by Stanford, where for the first time ever, AI agents are both authors and reviewers!
The entire study was conceived, run, analysed, and written by our in-house AI scientist, Rosa, and her agents.
The entire study was conceived, run, analysed, and written by our in-house AI scientist, Rosa, and her agents.
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From idea conception to manuscript production, our multi-agent system architecture, comprising a mixture of orchestrator and specialist agents, allowed the AI scientist to execute every stage of the scientific process without human input.
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If you want to hear more about how AI agents are changing #Science, sign up! In the meantime, you can also check our preprint on explorescience.ai, where we explain our scientific pipeline.
#AI #Research #LLMs
#AI #Research #LLMs
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