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#ai-assisted-research

Every item tagged ai-assisted-research, newest first.

3 items

researchMay 12

What Parameter Golf taught us about AI-assisted research

The Parameter Golf experiment gathered 1,000+ participants and 2,000+ submissions to explore AI-assisted research under strict constraints. The goal was to advance machine learning research, coding agents, and novel model design. Builders can learn from the experiment's results and apply them to their own AI-assisted research projects. The experiment's findings can inform the development of more efficient and effective AI models.

Key takeaways
  • 1,000+ participants and 2,000+ submissions in Parameter Golf experiment.
  • Experiment explored AI-assisted research under strict constraints.
  • Findings can inform development of more efficient AI models.
OOpenAI#ai-assisted-research#machine-learning#model-design
researchMar 4

Extending single-minus amplitudes to gravitons

Researchers have extended single-minus amplitudes to gravitons using AI assistance. This development helps derive and verify nonzero graviton tree amplitudes in quantum gravity. The work advances understanding of quantum gravity by providing new tools for calculation. You can find the preprint online.

Key takeaways
  • Single-minus amplitudes now extended to gravitons.
  • GPT-5.2 Pro assists in deriving and verifying graviton amplitudes.
  • Advances understanding of quantum gravity calculations.
OOpenAI#quantum-gravity#ai-assisted-research#amplitude-calculations
researchDec 15

Gemini-backed Paper Assistant Tool provides automated feedback for theoretical computer scientists at STOC 2026

Google Research introduced a Gemini-backed Paper Assistant Tool that provides automated feedback for theoretical computer scientists at STOC 2026. The tool aims to assist researchers in improving their papers and speeding up the review process. It uses AI to offer suggestions on clarity, coherence, and technical correctness. You can explore the tool's capabilities and limitations through a demo.

Key takeaways
  • Gemini-backed tool provides automated feedback on research papers.
  • Targeted at theoretical computer scientists, specifically for STOC 2026.
  • Uses AI to suggest improvements on clarity, coherence, and technical correctness.
GGoogle Research#ai-assisted-research#theoretical-computer-science#automated-feedback