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Overview
Softmax is an AI research company studying alignment through multiplayer environments where humans and coding agents compete and cooperate. The games generate data on how agents behave under incentives rather than in isolated benchmarks. The lab publishes its findings alongside the environments.
News
Approximating Softmax for FPGAs with Taylor Series and Pade Approximants
Coding the 2025 paper "A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks" in Python
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Tripstoph/RRT-Foundation Hugging Face
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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You can put a Softmax in front of CrossEntropyLoss. PyTorch won't stop you. Here are 16 other architecture bugs it won't catch.
A walkthrough of the 17-rule design-time linter inside Neurarch: what each rule catches, why it matters, and where static analysis stops being useful for neural networks.
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Parallel line analysis and relative potency in SoftMax Pro GxP
Parallel line analysis supports GMP and GLP biological assays by assessing dose-response parallelism before relative potency calculations.
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Red Button, Blue Button
A viral poll as a lens on coordination, rationality, and social reasoning in frontier models.
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Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
San Francisco
United States
HQ
200-500 est. staff
