Reasoner
@UseReasoner
Followers
19
Following
6
Media
0
Statuses
6
for serious applications that demand the highest precision & accuracy.
Joined October 2024
Tried @UseReasoner on @arcprize’s just-released ARC-AGI-2. Reasoner passed on first try. “Correct!” (Screenshot shows one rated “hard” by Arc Prize.)
Today we are announcing ARC-AGI-2, an unsaturated frontier AGI benchmark that challenges AI reasoning systems (same relative ease for humans). Grand Prize: 85%, ~$0.42/task efficiency Current Performance: * Base LLMs: 0% * Reasoning Systems: <4%
2
2
16
TL;DR: Reasoner is more accurate, more credible, and a fraction of the cost. We can't wait to see what @wayne has cooked up go live in 2025!
2
4
11
Reasoner by @Wayne Chang: AI that thinks better, costs less, and explains its logic. Powered by adaptive knowledge graphs, it boasts 90%+ accuracy on tough benchmarks where OpenAI struggles. Coming 2025. #ProudInvestor
https://t.co/JyoHzUZBGc
fortune.com
Serial entrepreneur Wayne Chang says Reasoner’s neurosymbolic approach avoids the risks of using generative AI.
3
2
16
Thrilled to share our vision with this exclusive piece by @FortuneMagazine. Already proven in high-stakes environments, Reasoner is bringing human-level reasoning to workflows that demand the highest accuracy and precision. This is only the beginning.
Exclusive: @Wayne is taking the wraps off an AI reasoning engine called Reasoner, which he claims can produce much more accurate and explainable results than large language models such as OpenAI’s o1 series.
0
0
2
Exclusive: @Wayne is taking the wraps off an AI reasoning engine called Reasoner, which he claims can produce much more accurate and explainable results than large language models such as OpenAI’s o1 series.
fortune.com
Serial entrepreneur Wayne Chang says Reasoner’s neurosymbolic approach avoids the risks of using generative AI.
2
4
15
“Reasoning” will soon be the functional measuring unit of the capability of an AI App / Agent. Tools powered by strong, trustworthy, human-variable reasoning will replace entire value chains currently only serviceable by teams of highly specialized, highly trained people.
3
1
12