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hellameta

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Just FYI be careful some of the numbers are definitely mixed. This can't be right...

Registered Democrat 89 % 9 %

Registered Republican 90 % 7 %

I'm surprised at this "Apple not AI" narrative. I've had Google Maps & Waze on my iPhone for years and neither of them seamlessly turned on "where did I park my car" feature. I just turned my iPhone on one morning and it just told me. Now, mind you, this may not be a fancy deep learning model. It could be some simple linear model, maybe a tree model, hell, maybe it's hardcoded rules? But despite these things Apple delivered a great feature which is in the realm of what I would consider "AI enabled feature".

Mind you, I don't have an Android device, so maybe Google Maps does this automatically for you on Andriod. It doesn't do it on the iPhone, at least not automatically (aka. I don't bother to look it up, which is kind of the point).

Zen Stories 10 years ago

Perhaps what isn't said is that Mu-nan understood he was no good to his family and decided it would be best for him to leave. I wouldn't conclude that the actions are self-absorbed... only that that is a perspective, but ultimately not the only one.

It's learning the meaning of words, and the relationships between them.

It's learning a meaning, not the meaning. It's just a probabilistic model for the occurrence of a word based on the words that surround it. This should not serve as a base for the rest of your claims.

Anyway -- the improvements gained by multi-modal systems essentially disprove your thesis. Which is a good news! We're making progress.

I actually make private Facebook wall posts to myself. It's great, easy to see and scroll through any time, and I can also add my friends individually (or a list of them) at a time when it's appropriate to share. The interface is great, I can comment on my own thoughts... I know this won't get any fans in this crowd but I think it's great.

Sure. I don't have anything to link on the spot but this was/is/has been foreseeable for some time. Although it's all very cool and shiny - most business applications of machine learning remain squarely in the territory of classic algos like GLM & forests (random, boosted trees etc. etc.). As a fun note, advances like these highlight that data scientists etc. will not be beaten by more complex automated methods, but simply by speed. Much like the filing system that 'runs' whatever you're using to see these words (https://www.youtube.com/watch?v=EKWGGDXe5MA).

Edit: to elaborate... single model training runs are possible to do quite fast now, but knowing how to tune hyper parameters remains the 'voodoo' of the field. But the best hyper params are also possible to discover through brute force: try every combination you can! Today, you can use various heuristics to improve this process, but either way, being able to train whatever X times faster just means we can search hyper parameter space that much faster. The robots are coming :)

Is this sarcasm? Bash on Windows definitely comes before "Emulated Linux syscall layer from user mode processes on Windows" ... it's a great name, sure, but marketing genius?

People like you perpetuate some myth that you have to pay $4500 a month if you want to work in tech. Nonsense.

This is a little harsh and I doubt what the OP was saying. If someone interprets it like you suggested that is their problem. I don't see the implication that you NEED to live in SV to work in tech.

I don't think anyone claims that you can't find thriving tech communities outside of SV, but the reality that OP put forth is undeniably true. SV is where the most money is. SV is where most of the talent goes. SV churns out its own home grown talent through 2 of the best schools in the world. Did the automative industry all move to NY & Austin? No. They moved to SV (not exclusively, but I'm sure you've seen the map of automative companies moving in to SV).

Hollywood isn't the only place you can make movies and SV isn't the only place you can make software or start software based companies... but how are you going to deny that they are the most thriving communities in the world respectively?

This is a neat project but also replicates the functionality of many libraries (I'm not going to dig it up but there are more than a few of these floating around with varying amounts of maintenance). Anyone needing to use these seriously will quickly end up forking it. Also - I think the goal of EVERY UX designer should be to prevent the need of these kind of things AT ANY COST. It obviously varies by product and industry but any designer worth their salt will do everything they can to make it painfully obvious what a user should do at every step of the way.

This requires a rather different set of skills - instead of being skilled in stochastic calculus, partial differential equations and numerical methods, the quant trader is skilled in statistics, data analysis, optimisation and machine learning.

Although I'm not a quant and do not even directly work in the finance industry, my experience working as part of a machine learning outfit definitely corroborates this. Data Science may be a hard term to truly define (it's quite broad, particularly when you start applying it in the real world) -- but the general skill set is definitely seeping into computer software/engineering roles. I'm not sure how it will go in the future (there are many viewpoints on this) but I wouldn't be surprised for this trend to continue.

Everyone in here acting like Facebook didn't get the exact same backlash for all the changes they made in the last 5-6 years. You'll recall there was never such thing as a newsfeed back in the day... Twitter will be just fine. This is absolutely the right move and you will all forget about this and go back to tweeting as soon as you're done complaining I'm sure.