NEW paper worth reading.
(bookmark it)
Autonomous research systems usually prove themselves on cherry-picked wins, human-framed topics, or a handful of preset tasks.
FARS runs the full loop at scale instead. Stage-specific agents handle ideation, planning, experimentation, and writing over a shared workspace that records proposals, code, logs, results, and manuscripts.
Its first public deployment produced 166 complete papers across 67 fine-grained AI/ML topics, and it kept the failures in the corpus rather than curating a highlight reel.
Why it matters.
282 volunteer reviews over 140 papers give an honest read. FARS can produce review-worthy artifacts, while the same reviews expose recurring failure modes in narrow scope, methodology, and integrity.
Paper: https://t.co/f6pMG0hYAA
Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c
Why this matters:
• AI is moving beyond chatbots.
• Autonomous research agents are becoming real.
• The bottleneck is shifting from writing code to verifying AI-generated science.
Source:
ArXiv – FARS: Fully Automated Research System
🚨 AI Research You Probably Missed
Researchers have introduced FARS (Fully Automated Research System).
Instead of helping researchers, it attempts to conduct research almost entirely on its own—from generating ideas to running experiments and writing papers.
Exciting news! OpenCorporates is nominated for the Data Management Insight Awards USA 2026 🏆
We’re shortlisted for:
👉 Best Entity Data Solution (Cat. 20)
👉 Best KYC Data Solution (Cat. 28)
Support us with your vote! 🗳️👇 https://t.co/BIOgrZ6YTh
#RegTech#KYC#Data
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“How do I sell AI?”
That’s the wrong question.
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That’s a wrap on last week's London #GoogleCloudSummit! ☁️
The OpenCorporates team spent two days diving into the next frontier of AI, cloud, and data.