acadien

I agree with you there's a lot of anti SF content floating around these days. Just wanted to point out that in this article the author does go on to say he loves SF and thinks any uptick in crime will inevitably be countered. In that respect I felt it was a little different from the rhetoric you mentioned.

Does it go something like this?

Content creator posts content on their site that they own and pay to operate. Mega-3rd-party shares links of this content, sometimes posting blurbs from this content, driving traffic to Mega-3rd-party site and (to a much lesser extent) boosting traffic to content creator's site. However, Mega-3rd-party site also derives revenue from this by extracting information from user behavior and user interests, enabling them to improve ad-sales.

Am I misunderstanding something? Why is everyone here so pro mega-3rd-party?

Another question is this similar to remixing in the music industry? Feels like royalties in a twisted kind of way.

Please take 10 minutes to educate yourself on this topic.

https://apps.npr.org/plastics-recycling

https://lbre.stanford.edu/pssistanford-recycling/frequently-...

Saddles are a way of conceptualizing high dimensional optimization problems. If you have a 3 dimensional surface you can imagine a saddle as an isocurve that follows a minima in at least one dimension.

Another way to conceptualize these is to think of being at the minima of a parabola in 2 dimensions, but then seeing you're not in a minima in a 3rd dimension. Any time you're in a minima in at least 1 dimension, you're on a saddle.

You can extend this concept to a neural net which lives in millions of dimensions, undergoing SGD. When beginning an optimization run SGD moves in some direction to minimize the a bundled cost, inevitably stumbling into minima in (usually) many dimensions. Subsequent iterations will shift some dimensions out of minima and other dimensions into minima, the net is always living on a saddle during this process.

There are many papers that discuss the process in these terms and others that implicitly use it. I wouldn't say its a "hot area of research" but more of a tool for thinking about these processes and sometimes gaining some insight in to why things get stuck during training.

Hey @moultano in response to your argument about walls and Nets not being in a minima, its my understanding nets always live on high dimensional saddle points and that's commonly referred to in literature. Even when you're optimizing you're just moving towards ever lower cost saddles that are closer to the optimum but almost never a local optimum (for the reasons spelled out in your post).

I appreciate your response but respectfully disagree. (1) you posted above completely miss-states the facts. From the voter pamphlet text itself;

"A YES vote on this measure means: App-based rideshare and delivery companies could hire drivers as independent contractors. Drivers could decide when, where, and how much to work but would not get standard benefits and protections that businesses must provide employees."

If you drive full time you deserve full time benefits. That means more than a 50% payment of ACA (which is downright offensive to suggest someone can live off of while making minimum wage).

I am so against prop22 it pains me so here I am ranting on the internet.

What's going on is a negotiation between the state and these companies that are able to take advantage of a gap in how insurance and other benefits work. Instead of actively negotiating with the state, Uber/Lyft/Doordash and many others have simply asked to maintain the status quo, screw the drivers, just business as usual.

Drivers do not get benefits. They deserve benefits. Lets fix that.

Instead Uber/Lyft and others have chosen absolutely insane negotiating tactics. Literally their only solution is to

1. exempt all drivers from getting basic benefits like health insurance

or else

2. we're turning off our apps in California

This is madness. No on 22.

Depends on the application. Often down-sampled data is useful for drawing trends but not so useful for better understanding failure events.

This is a common misperception. You cannot estimate the shape of simple things in low light. Even humans are susceptible to optical illusions and are effectively blind during certain times of day (try driving in the direction of the sun during sun rise/set). Lidar is not susceptible to any of these things. Similarly ML will never solve low light or direct light situations, that is a physical limitation of cameras.

Time to start burying the powerlines fellow Californians.

The article said nothing about selective dispersal. For all we know these drones are just fancy crop dusters.

Car owners in small towns posting in here like "finally that fake gig economy is dying"

City dwellers posting the opposite because they rely on the product to make their lives work.

Here I am, stuck in the middle with you.

Age has nothing to do with talent. Older devs tend to have more experience, go figure.

Not to mention the nightmare that is organizing the compiler on large projects. I've seen multiple large companies employ teams of 10+ engineers just trying to keep the compiler in order. Optimizations that take weeks or months to develop result in 10x improvements while I'm not aware of developers in other languages having this problem.

If it was written before 1998 I expect you'd find a version of C++ that existed before 1998 :)

If it was written today, I don't know that's a really good question. I think its a mistake to ignore the advances that 2011 and 2014 bring to the table though.

Are any of those languages even remotely similar after 25 years? For example, C++11 is practically a different language from C++<98.

Avoid using these whenever possible. Readability is more important than WoahNeat Factor.

These are general overall topics. Dive into any one of them and you'll find hundreds if not thousands of open questions. My particular field was amorphous solids and the glassy phase transition but yeesh boiling it down to just one questions is big over simplification.

Don't worry, plenty of things out there we don't understand :)

The mining industry has dreamed of self driving vehicles to replace humans in dangerous work conditions for ages.

You don't have to respond to a text immediately, you don't have answer a phone call. Students can contact you all they want and you can simply ignore them when necessary.

Many students work part or full time jobs. Some of them have kids of their own so stagnant office hours will prevent many of them from contacting their instructors at all. Why not make use of the modern tools everyone else is using to communicate? Why lock yourself away in an office that no one will find?

Hey Floya, I'm writing this here hoping you'll see this comment. You're getting a lot of unjust responses in here. The commentors are reading your thesis with the eyes of a trained skeptic expecting peer reviewed, collaborative work that takes years of experience to produce. They're nitpicking flaws and mistakes we all make when we first start researching.

Your thesis is in fact really impressive and very nicely written! Your conclusions and future work section is excellent. Really very well done. Congratulations on finishing it. I hope you don't let the irrationally negative feedback here dissuade you from continuing your work, you certainly have a bright future ahead of you.

The goal is for the student to get some experience with performing their own research wherever that may lead them. This is actually a pretty impressive piece of independent work for an undergrad.

Also matplotlib recently added stylesheets

http://matplotlib.org/users/style_sheets.html

which gets you ~75% of the way there to ggplot style plots. I've found a number of edge cases where the plots don't turn out right when using the ggplot sheet. BUT the important part is you can set your own default plotting style with a single line of code and keep everything nice and pythonic (well kind of pythonic since you're using matplotlib...)

Just once it would be great to read a headline like:

"Traffic congestion spurs realization that enhanced public transit is sorely needed in high density population zones"

instead of:

"City council continues to make short sighted decisions that don't help anyone"

Haha! I remember using Beej's guide to get me through networking and distributed computing back in college. The courses weren't terribly useful, but Beej covered the practical side of it quite nicely.

Sometimes good science turns up null results or even worse, not interesting results. These works tend to not get cited but are still important when they're exploring new science or attempting to solve challenging problems. I don't see what the problem is.

Also why didn't the article include both of the figures? It can all be found here for those interested; http://www.wfnmc.org/mc20101.pdf

I think the above comment of it cost only a few hundred thousand dollars is just the cost of the fuel. Ancillary costs like moving the rocket, repairs, refueling, launch planning etc would also cost some money but it is still orders of magnitude cheaper than building new rockets or heavy repairs from crash landings.

Yes totally correct, its Pu 239 that's weapons grade. I got mixed up.

Pu-238 has the highest energy density which is why its so useful (both as a weapon and an energy source). Its the cheapest to use because it adds the least amount of weight to the launch vehicle.