Daniel Weld

@dsweld

Computer science prof, entrepreneur & leader at Ai2. Excited by AI for science, human-AI interaction, and Web-scale NLP.

Seattle, WA

cs.washington.edu/homes/weld/

Replies Reposts Media

Daniel Weld
@dsweld
May 4
This benchmark for Ai scientific capabilities is beautifully thought out - I especially like it's clear enumeration of design principles...
Ai2
@allen_ai
Apr 30
New AstaBench results show frontier models making progress on scientific research, but the benchmark remains far from solved. Claude Opus 4.7 leads overall at 58.0%, while GPT-5.5 comes within 5.1 points at less than half the measured cost per problem. 🧵
Daniel Weld
@dsweld
Feb 4
Truly open scientific question answering - that's good!
Open-source AI program can answer science questions better than humans
From science.org
Daniel Weld
@dsweld
Jan 28
I'm so excited by this! Our system is generating some insightful & novel theories (e.g., internally for LM post-training). And it's still getting better!
Ai2
@allen_ai
Jan 28
Introducing Theorizer: Turning thousands of papers into scientific laws 📚➡️📜 Most automated discovery systems focus on experimentation. Theorizer tackles the other half of science: theory building—compressing scattered findings into structured, testable claims. 🧵
Daniel Weld
@dsweld
Jan 13
Smart analysis analysis of scholar output when authors adopted LLMs as part of their writing: 1) huge 36% boost in # papers published 2) LLMs mitigate skill disparities, eg native language - enough to shift market share of production toward China bit.ly/4qliJGo @yian_yin
Daniel Weld
@dsweld
Nov 19, 2025
Impressive deep-research performance by a tiny & open model!
Rulin Shao
@RulinShao
Nov 18, 2025
🔥Thrilled to introduce DR Tulu-8B, an open long-form Deep Research model that matches OpenAI DR 💪Yes, just 8B! 🚀 The secret? We present Reinforcement Learning with Evolving Rubrics (RLER) for long-form non-verifiable DR tasks! Our rubrics: - co-evolve with the policy model -
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