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ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals, they need to be discovered. Tufa Labs won the first milestone of ARC Prize >...

36,287 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 11

Фото профиля Machine Learning Street Talk
Machine Learning Street Talk3 месяцев назад

This is their blog post introducing the Duck harness!

Фото профиля The Mint
The Mint3 месяцев назад

@tufalabs @arcprize Congrats! Looking at the github repo of the harness, I noticed that it includes a lot of human provided hints about the games (see the promts here: Considering this "AGI" contest, I wonder if this is ok or should it ideally figure those out by itself.

Фото профиля Jerome Sieber
Jerome Sieber3 месяцев назад

@tufalabs @arcprize Great work team! 🔥

Фото профиля dlo
dlo3 месяцев назад

@tufalabs @arcprize proud of our work!

Фото профиля Ruan de Kock
Ruan de Kock3 месяцев назад

@tufalabs @arcprize Amazing @DriesSmit1 🔥🔥

Фото профиля Claude Formanek
Claude Formanek3 месяцев назад

@tufalabs @arcprize Amazing work Dries 👏 🇿🇦

Фото профиля Ulrich A. Mbou Sob
Ulrich A. Mbou Sob3 месяцев назад

@tufalabs @arcprize Awesome work @DriesSmit1

Фото профиля Mert · AI Architect
Mert · AI Architect3 месяцев назад

@tufalabs @arcprize the harness is doing the heavy lifting here. a static rubric on ARC-AGI-3 would optimize for the rubric while the abstraction gap stays open. the grading function has to evolve with the task.

Фото профиля Wesxdz
Wesxdz3 месяцев назад

@tufalabs @arcprize depression latent space lmao

Фото профиля Calathea
Calathea3 месяцев назад

@tufalabs @arcprize really enjoyed this sharing! made a simple infographic about the harness

Фото профиля AI Mastery Guide
AI Mastery Guide3 месяцев назад

@tufalabs @arcprize No explicit goals to discover on your own is what makes ARC-AGI-3 sound so much harder than typical benchmarks.

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