Basis Research Institute | Research Scientist/Engineer, Ops, Interns | In-person + Hybrid | http://basis.ai
Basis is a new nonprofit research institute. We're building a foundation of (approximately) universal reasoning-based AI, to help solve hard scientific and societal problems in collaboration with domain experts.
Research scientists/engineers, get in touch if you're passionate about any of:
Basis Research Institute | Research Scientist/Engineer, Operations Manager, Interns | In-person + Remote | http://basis.ai
Basis is a new nonprofit research institute. We're building a foundation of (approximately) universal reasoning-based AI, to help solve hard scientific and societal problems in collaboration with domain experts.
Research scientists/engineers, get in touch if you're passionate about any of:
Columbia University - Data Science Institute | Research Software Engineer | In-person + Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
Columbia University - Data Science Institute | Research Software Engineer | In-person + Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
Columbia University - Data Science Institute | Research Software Engineer | In-person + Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
If I didn’t know better I would think this is a parody of morally bankrupt technologists. But it’s not a parody, it’s an obscene reality.
- They have constructed a (rather impressive) mass deception machine, and put it to work.
- They have convinced themselves that the mass deception is worthwhile because their clients can’t lose money.
- When challenged, they seem to believe that the ends justifies the means, and that it is just marketing.
The only constructive thing I can think of is that those of us who have the ability to build these kinds of things should take this as another case study of what not to do, and how not to respond to criticism.
I see marketing as a giant black hole of ingenuity and talent (that pays well). That being said, it's difficult to see the difference here from ingenuity in say SEO.
Yes and: They're using spiffy tech to further accelerate inequity. aka Pay to play.
"Property taxes represent the single largest source of own-source revenue for America’s local governments. Cities, counties, school districts, and special districts raise roughly $500 billion per year in property taxes, roughly 70 percent of local taxes. Whether residents rent or own, property taxes impact everyone.
In many cities, however, property taxes are also inequitable: low-value properties face higher tax assessments, relative to their actual market values, than do high-value properties. This tax regressivity disproportionately burdens lower-income residents.
To better understand these issues the Center for Municipal finance has reviewed millions of sales records for properties throughout the country. This site presents the results of these evaluations."
"When’s the last time you thought about property taxes? We mostly accept them as a part of society, and assume that they’re being calculated fairly. But a leading University of Chicago scholar says that assumption is wrong.
A breakthrough study from Prof. Christopher Berry has shown that, on average, homeowners in the bottom 10% of a jurisdiction pay an effective tax rate that is double of what’s paid by the top 10%. Essentially, the poorest homeowners are subsidizing the richest, with disproportion effects on people of color who own property. We talk with Berry about why this happening, how it’s affecting communities—and what we can do about it."
"How Lower-Income Americans Get Cheated on Property Taxes -- Many homeowners are paying a total of billions of dollars extra because of inequities in assessing property values."
This is a weird stretch, I think. By this definition, all paid services are villainous. Maybe by your metric that's true, but then don't pretend this company is any more special than a taxi company or a baker in their evil.
Any citizen of Texas can partake in this process themselves. Their cost is time. If the value of your time is greater than the cost of the service, great! Use the service! If not, take an afternoon and do it yourself. Thus is the nature of services.
In fact, these companies only serve to punish governments for poor taxation practices, as they get more people to dispute their taxes than normally would have. Hurray!
Automating work that should not be done is immoral.
Per the adage that everything taken to its logical extreme becomes its own opposite: the only potential virtue of such work is that gaming the system may expedite reform (cycle of death & rebirth).
Columbia University - Data Science Institute | Research Software Engineer | In-person + Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
Columbia University - Data Science Institute | (Research) Software Engineer | Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
Columbia University - Data Science Institute | (Research) Software Engineer | Full/Part-time | Remote/Onsite
We are looking for a research software engineer eager to work in an academic environment at the cutting edge of probabilistic programming, causal inference, program synthesis and machine learning.
Role:
You will play an integral part in developing systems for automatic causal and probabilistic inference. Our goal is to build systems that can reason coherently about the real world, in all of its complexity and ambiguity. These systems should allow people to (semi-automatically) build sophisticated models of the world, determine causal effects, design experiments, and construct explanations. An immediate application is in algorithmic fairness.
Basis is a new nonprofit research institute. We're building a foundation of (approximately) universal reasoning-based AI, to help solve hard scientific and societal problems in collaboration with domain experts.
Research scientists/engineers, get in touch if you're passionate about any of:
- Compilation / program transformations
- Probabilistic programming
- Probabilistic ML
- Bayesian / Causal inference
- Program synthesis & analysis
Ideal attributes:
- Strong programmer. esp. Julia, Python, C++, ML-family
- Comfortable digesting research e.g. from PLDI, POPL, NeurIPS or ICML
Operations people get in touch if you're interesting in building a new kind of organization from the ground up.
Apply to roles at https://www.basis.ai/join-us/ and/or write to [email protected] for more info.