ialyos

I don’t think that’s true! IIUC the protections from that act only apply to a subset of humans, including us military and nato military members. It’s in the article you linked! So if you see Putin at your local Safeway go ahead and citizens arrest him :)

Is the goal here to make money? Engineer #25 will get at most .3% equity. At a billion dollar valuation that's 3 million, which sounds like a lot, but if you see that exit after 5 years, that's more like 600k a year. Senior eng at Fang makes 400k+, and is much more attainable than first 50 at big company. You'll have a much better chance climbing FAANG ladder if you want to make a bunch of money

Thanks for the nuance. I completely agree with how you've framed the situation.

The article is simply wrong.

I know this because I worked as an ML engineer at an extremely successful company that automated medical coding using deep learning.

The confusion stems from conflating a "perfect solution" with a "human augmented" one.

90% of coding cases are trivial, have low value and can be done by a model. 10% are really subtle and need human expertise.

That's fine. You can make a billion dollar company on low hanging fruit. I think it's best not to conflate the perfect solution with a very good solution.

Did you watch the video you linked?

Become a machine learning swe. It's an amazing blend of stats / match and raw engineering. It's a ton of fun

The phrase "in practice" doesn't really work when you're referring to highly finicky strategies like RL and adversarial training

I don't have a nuanced thought to add. I think it sucks these videos were demonetized and I agree there's something weird going on when 3d bust test prints abound. Sorry you have to fit so hard to get people on the same page

This comment is underrated

Isn't this what protos are for?

I don't think that's true. As a consumer I pay Uber, that internally splits its revenue between unionized and non unionized labor. Both parties want money, and the both charge me for it.

I've built one and so has someone else, it's a journey, but gets you a reasonably competent arm at a reasonable price.

Annin AR3 https://www.anninrobotics.com/

Original software for it is a bit hard to work with, improvements in https://github.com/ongdexter/ar3_core

This is at a high level how one of our Google internal black box optimizers behaves. The term used is "infeasible region" but it's the same idea as using a nan.

I would caution against using nan to always mean infeasible. Instead users should catch experiments outside the feasibility region and return a special infeasible value. This will increase visibility into the behavior of the optimizer, because it leaves nan to be used for values inside the region of constraint that are still problematic (due to bugs, numerical instability, etc)

Work for Google. Work on the same feature for a year. Deadlines are fungible and no one cares if you aren't killing it

Agreed.

Robots are very hard, and Boston Dynamics has been around for almost 40 years and still isn't anywhere close to making a lot of money.

Apps have added a lot more value to my life than BD ever has.

Fwiw I interviewed with BD a few years ago, and am focusing on robotics, so I'd like the opposite to be true

Was looking at buying the quest 2 today and decided to wait until the weekend to see how the launch would go and then I saw this. I won't buy a quest 2 unless the account requirement is removed

But most people are capped to how much they'll spend on leisure by their vacation time. So there probably isn't much headroom to be gained for people who are regular travellers post this pandemic.

Does the use of positional embeddings mess with the gnn for formulation? I'm not familiar with the requirements for something to be a gnn, but positional embeddings mean the graphs have to capture order of occurrence, and the graph in the shared page doesn't seem to do that.

That isn't true. Downtown Toronto has multiple Google engineers. I know one in brain and one in cloud. One has been in TO for ~2.5 years, the other for 1 year. As far as I know the only way to get into the office is by special permission. One of them only got their role because they said they were quitting due to the waterloo commute.

Fwiw I'm a Canadian that just signed a Google offer to work out of downtown SF because I hate the winter too. I think people care more or less about the weather based on their hobbies / interests.

Google can preview results for clicks by exposing a site's content in the search results. E.g if you google Obama you will see a wiki blurb about him on the right

I took this quote to mean the following: Engineers are well equipped and positioned to understand the set of solutions that are available to them and the material negative impacts of those solutions (e.g if we build a dam at spot x, the region y might have an increase in floods). But engineers should not be given the ability to make decisions about which of set of negative impacts a society should bear, and that should instead be a decision made collectively.

So the interface between the engineers and the people is not to find solutions together, or to find flaws together, but for engineers to find solutions and flaws, and the people to pick the one that they are happiest with.

(I'm not certain my understanding of the quote is right, just sharing my interpretation / an alternative to the ones you shared)