alexcnwy

11 ms·

91.
by alexcnwy 7y ago
Working on it. This isn't an official launch, was just fiddling around with the website please be patient ':)
92.
by alexcnwy 7y ago
What if it means you can afford to pay rent?
93.
by alexcnwy 7y ago
updated :)
94.
by alexcnwy 7y ago
what makes you say that?
95.
by alexcnwy 7y ago
fixed ':)
96.
by alexcnwy 7y ago
um check now
97.
by alexcnwy 7y ago
yes but we encrypt the data. companies that use mechanical turk share your sensitive data with people working in third-world clickfarms. we "digitally shred" your audio and image data before we get it annotated. Basically we just
98.
by alexcnwy 7y ago
Any questions / feedback?
99.
Show HN: Sebenz.ai – Convert your time and human intelligence into money(sebenz.ai)
12 points by alexcnwy 7y ago|43 comments
100.
by alexcnwy 7y ago
First of all thank you for all your hard work. Major question: Why isn’t Tesseract using neural networks. I know it just introduced LSTM based models but they suck. Why is GCP vision text recognition API so much better than open source alte
101.
by alexcnwy 7y ago
Tesseract simply cannot power the GCP OCR API because Tesseract sucks super bad and the GCP API is mint.
102.
by alexcnwy 7y ago
Ugh why does open source OCR still suck so bad?! Why isn’t there an open source OCR engine even half as powerful as the Google Cloud Platform API?!
103.
Show HN: Sebenz.ai Time = Money Humans and AI = Best(sebenz.ai)
1 points by alexcnwy 7y ago|0 comments
104.
by alexcnwy 7y ago
That's so clever - it's like an intellectual property honeypot. It reminds me of "trap streets" mapmakers add to their maps to "trap" potential copyright violators: https://en.wikipedia.org/wiki
105.
by alexcnwy 7y ago
The part of the video showing the location bias in phase artifacts (straight teeth on angled faces) is really interesting and very clear in retrospect if you look at StyleGAN v1 outputs. Their “new method for finding the latent code that re
106.
by alexcnwy 7y ago
"I don’t think we’re anywhere close today to the level of intelligence of a two-year-old child. But maybe we have algorithms that are equivalent to lower animals, for perception. And we’re gradually climbing this ladder in terms of too
107.
Yoshua Bengio, Revered Architect of AI, Has Some Ideas About What to Build Next(spectrum.ieee.org)
34 points by alexcnwy 7y ago|3 comments
108.
by alexcnwy 7y ago
“When used as input for non-linear classification with deep neural networks, this representation allows us to use 2–5× less labels than classifiers trained directly on image pixels.” Interesting paper on an unsupervised pre-training approac
109.
Data-Efficient Image Recognition with Contrastive Predictive Coding(arxiv.org)
2 points by alexcnwy 7y ago|1 comments
110.
Understanding “Deep Double Descent”(alignmentforum.org)
108 points by alexcnwy 7y ago|16 comments
111.
by alexcnwy 7y ago
Yep - you don't need to avoid false positives / false negatives, you just need to reduce the search space from watching 30 cameras' video feeds at once (impossible for 1 person) to watching these clips that have a high probab
112.
by alexcnwy 7y ago
Yeah sufficient resolution is definitely an issue. I'm not suggesting you can use models in all situations or an all current setups, just that it's possible (and surprisingly easy) to use models to automate a lot of analysis on vi
113.
by alexcnwy 7y ago
I gave a talk on "Deep Neural Networks for Video Applications" at the GDG DevFest conference last weekend [1]. It's crazy how powerful computer vision is and how relatively easy it is to apply to video streams. It's not
114.
by alexcnwy 7y ago
Zombie army!
115.
by alexcnwy 7y ago
You sound paranoid. There’s nothing wrong with a 20-something admitting they need a bit of a rest after working really hard for a few years. I’ve had an employee tell me they’re exhausted and need time out and I definitely didn’t “propagate
116.
by alexcnwy 7y ago
Tell the founders you’re burned out and need to take 2 weeks off. The insidious thing about burnout is you can’t think clearly when you’re burned out. I’ve been heavily burned out twice and I can relate to just wanting to work in a bar or s
117.
Ask HN: Any paying NomadList users here?
8 points by alexcnwy 7y ago|4 comments
118.
by alexcnwy 7y ago
The only caution I took away from that post is that it's very easy to make mistakes applying ML to financial markets if you don't know what you're doing. There looks like a lot of overfitting the validation set going on in th
119.
by alexcnwy 7y ago
Totally agree. Funnily enough I think the ML hobbyist problem is most pervasive in the "predict the stock market" domain. There was a post on HN a few days ago [1] that was overfitting the validation set and hand-waving away fees
120.
by alexcnwy 7y ago
It sounds like the validation set was seriously overfit. If you run 10'000 experiments over thousands of indicators, you're bound to find some that idiosyncratically perform well on the validation set but underperform out-of-sampl

More ›