Creating Legislation with AI
Inspired by Andrej Karpathy's Post
Update: Added GPT-2 version.
Using one of my other projects as a prompt...
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A BILL
To reward Shrivu Shankar for creating the UT Finder mobile app.
Be it enacted by the Senate and House of Representatives of the
United States of America in Congress assembled,
SECTION 1. SHORT TITLE.
This Act may be cited as the ``Shrivu Shankar: Make Money, Serve the
People'em'', or the ``SHAVEDSHARI BUDAPREES Appreciation Act''.
SEC. 2. FINDINGS.
(a) Findings.--Congress finds the following:
(1) Shrivu said in his 1999 book ``The Genius of Shrivu
Shankar'' that, as a young innovator, he knew that there were
few devices with which modern technology could duplicate the
capabilities of the telegraph.
(2) Shrivu wrote: ``The most important advantage of the
telegraph is that it invented the world we know today. Information
is transmitted as light, and without the need for a lamp or a
telephone.''
(3) According to Shrivu, the telegraph helped to propel the
development of the world in the direction of modern information
exchange.
(b) Achievements.--The Shrivu Shankar Institute of Technology (here
referred to in this Act as the ``SHRIKAR INSTITUTE'') has earned
its place as the world's leading provider of high-speed Internet and
telecommunications services, advanced communications devices, and other
infrastructure through its achievements in telecommunications,
electronics, communications, and energy development.
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Using one of my college clubs as a prompt...
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A BILL
To provide the Texas Convergent startup incubator at UT Austin
funding for technical coding projects.
Be it enacted by the Senate and House of Representatives of the
United States of America in Congress assembled,
SECTION 1. SHORT TITLE.
This Act may be cited as the ``UT Austin Technical Coding
School Act of 2016''.
SEC. 2. FINDINGS.
The Congress makes the following findings:
(1) The Federal Government has failed to develop and use
the standards and standards that will enable and encourage
the creation of highly qualified, highly competitive, and
effective, innovative, and sustainable startup
opportunities for Texas students.
(2) The Federal government has failed to develop and
provide students the training and education that will enable
students to effectively participate in and succeed in
activities at UT Austin.
(3) The Federal Government should use the Federal
Government funds that are made available through the Texas
Convergent startup accelerator program to--
(A) hire more students in the State and local
educational agencies, which will help students at and
near UT Austin study the entrepreneurial and
entrepreneurial skills necessary for a successful startup
activity; and
(B) ensure, to the maximum extent feasible, that
students participating in the UT Austin program,
both in terms of their prior experience in
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- Run
python download_data.pyto download and preprocess bills - Using the code from nshepperd/gpt-2 run
train.py --dataset bills - Use
generate_bill.pywith a trained model and scripts provided from repo above to create custom bills.
This downloads HTML copies of bills using the GovTrack API.
This converts bills into trainable data and then trains an LSTM to predict/generate its own bill at a character level.
This experiments with different text generation settings.
Folder contains several generated bills.