Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
jd20
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
15 ms
·
91.
▲
by
jd20
9y ago
You're totally right, I'd go back and fix that if I could. Funny how a few months learning a new framework can make you forget how normal people talk :)
92.
▲
by
jd20
9y ago
Well, someone probably said the same about Go or React-Native when they first came out too. We have to start somewhere...
93.
▲
by
jd20
9y ago
I think it's really great to see a project like this coming out, as someone who loves writing Go on the server side, but has been grinding my teeth through learning JS to be able to do client-side work. That said, I would love to hear
94.
▲
by
jd20
9y ago
Don't know if it's related, but maybe this has to do with AirBnB releasing their own navigation library (native-navigation), meanwhile Wix's react-native-navigation seems to be seeing more activity and slowly becoming the off
95.
▲
by
jd20
9y ago
Looking at the examples for calling ObjC from Go, it looks like you still need a native piece of code to register the ObjC function being called and act as a shim (so same as RN I think). Looking at it from another perspective, there's
96.
▲
by
jd20
9y ago
I feel the conclusions of that article were pretty spot on. Having done a bunch of async programming in Go, and now picking up Node on the side, I can't help but agree that Go got this right. You have the simplest conceptual model (a s
97.
▲
by
jd20
9y ago
We still have a ways to go, to completely eliminating false positives, but these tools will help us get there. For example, you can recognize different types of objects now but we still need to figure out which are meaningful or not (like a
98.
▲
by
jd20
9y ago
Based on their website, it would seem to indicate TensorFlow is being used.
99.
▲
by
jd20
9y ago
Are there any off-the-shelf array microphones you recommend, for pairing with Snips on the Pi?
100.
▲
by
jd20
9y ago
I was also hunting for pricing info, before deciding if I wanted to pursue something like this further. Is it determined on a case-by-case basis, or same for everyone? If same, any reason not to publish it somewhere on the website?
101.
▲
by
jd20
9y ago
Companies look like Dirac and Audyssey do this, but require you to move a microphone around a room while a test signal plays (from speakers that are usually spaced throughout a room). The big mystery to me would be how effective such room p
102.
▲
by
jd20
9y ago
Agreed, I bought an Echo because of Alexa, the speaker functionality is just a really nice bonus. I bought one of the original Apple Hi-Fi's, and still remember that being one of the most disappointing Apple products I bought. As a spe
103.
▲
by
jd20
10y ago
Honestly, I think the recruiting process at some of these big tech companies is as broken as the standardized tests like SAT. I was rejected from Google, fresh out of Harvard, I think because they didn't like my choice of major (I'
104.
▲
by
jd20
10y ago
Well, forget Apple for a moment (that was just an example, since parent asked about them specifically): my point was what Google's describing is separate from differential privacy. There's no controlled noise or randomness being a
105.
▲
by
jd20
10y ago
Sounded like the label for training is the user's action (whether they chose the suggestion provided or not). Then they collect the model updates in bulk from millions of users, that's far more useful for training purposes than a
106.
▲
by
jd20
10y ago
Particularly relevant: "Federated Learning allows for smarter models ... all while ensuring privacy". Reading the paper, Google would still receive model updates, so this statement seems based on assumption that you can't lea
107.
▲
by
jd20
10y ago
While I think you can definitely draw some parallels, differential privacy seems more targeted at metric collection. You have to be able to mutate the data in a way that it becomes non-identifying, without corrupting the answer in aggregate
108.
▲
by
jd20
10y ago
I think you could be spot on: there are new applications emerging in deep learning, like self-driving vehicles, where you have a powerful need for mountains of data to train complex models, yet a logistics problem in how to aggregate that d
109.
▲
by
jd20
10y ago
They were probably thinking next year, they can call the new one Titan XPP . Historically, their naming conventions for GeForce cards haven't been super consistent either.
110.
▲
by
jd20
10y ago
What I find interesting, is the parallel in movie content, where 4K UHD content just became available late last year (while 4K movie content was available earlier, all the stuff I'd seen was poorly encoded or heavily compressed). I see
111.
▲
by
jd20
10y ago
On the pages for plugins (like Atom, Sublime, etc...) you might want a simple "how to install". Took me several minutes of confusion, to realize I should open up Atom and search for Kite from there. I kept thinking there should be
112.
▲
by
jd20
10y ago
Personally, I've found The vehicle itself to be very reliable. But they need to scale out service operations. I can call an Audi dealer and have my car brought in within a couple days (or go to one of many third party shops). With Tesl
113.
▲
by
jd20
10y ago
One thing I've wondered about this: exactly what data is Tesla able to collect from the vehicles on the road? I've not found this on their website, nor any way to opt-out of data collection. For a vehicle with an always-on camera
114.
▲
by
jd20
10y ago
My vote would've been "US Robotics" from "I, Robot". They have arguably the best virtual assistant on the market, Alexa. Paired with their expertise in automation, I'm imagining a future where Amazon robots wou
115.
▲
by
jd20
10y ago
I've been pondering this topic lately, as I come back to Rails (seems every few years I'll write a Rails app on the side, and my brain has totally forgotten everything since last time): one other way to look at this "magic&qu
116.
▲
by
jd20
10y ago
As a long-time software guy learning more about hardware, I find these kind of deep dives immensely useful. Much of building a physical device seems like a black box, from choosing electronic components, assembling them on a board to do som
117.
▲
by
jd20
10y ago
The mention of sonar sensors, used to prevent the car from running into obstacles, made me think the author was planning to make the robots autonomous too, but maybe just hasn't gotten that part worked out yet. I was also curious how t
118.
▲
by
jd20
10y ago
Solving language for computers seems much like climbing a series of mountains, where each time you surmount one, you realize the next is even higher :) Thanks to deep learning, machines have made rapid gains in speech recognition, as well a
119.
▲
by
jd20
10y ago
I don't think Apple is intentionally trying to create lock-in, but I do think there is a valid fragmentation concern in the field of deep learning right now. For example, you look at CUDA vs OpenCL, and CUDA has clearly become the winn
120.
▲
by
jd20
10y ago
This is pretty cool, and reminded me of the far-field microphone array in an Amazon Echo (which uses 7 spaced out microphones). Which also makes me wonder, taking something like this (which has way more than just 7 mics) and applying it to
More ›