webaba

6 ms·

1.
by webaba 9y ago
Indeed, DL-based AI is likely to continuue - rightfully so - for non-safety critical domains (translation, games, ...) It's crazy that few people notice that real world applications with safety issues (where 99.9% accuracy is a joke) -
2.
by webaba 9y ago
"Especially when your opinion goes against what pretty much everyone else in the field thinks" -> Most Deep learning people are consumers or hardware manufacturers, very few researchers in the field, and most people that have d
3.
by webaba 9y ago
I believe he has much more insight than most AI researchers/engineers. What's going on in AI right know looks exactly like what happened in the 1960s, sucking all the resources into something (i.e Deep Learning) without looking at
4.
by webaba 10y ago
I cited Lyapunov, more as the ABC of nonlinear controls. Much more can be done in an analytical fashion, the "end-to-end" system here does not "solve" anything. It is a trained steering command regressor, nothing fancy,
5.
by webaba 10y ago
When falling down actually corresponds to killing a pedestrian, then I'd rather try to understand the complexity of robust walking rather than observing a bunch of humans, mimic their behavior and hope for the best.
6.
by webaba 10y ago
Indeed, I was not really talking about the vision pipeline. But once you decouple the problem (use ML for vision, planning for the trajectory, controls for the rest), you'll get much more stability, guarantees and insight into how to i
7.
by webaba 10y ago
Obviously, my message was slightly provocative, deep learning methods and classical controls (which by the way are able to quantify robustness to plant uncertainties and noisy signals) are all very useful but shall be used in combination. E
8.
by webaba 10y ago
Obviously, "Lane Following Autopilot using my brain and controls theory" would not make it to the top of HN. Welcome to the new era where Tensorflow replaces Lyapunov and ML spares you the need of understanding hard problems... un
9.
by webaba 10y ago
Completely agree with this viewpoint. Explanatory power and reproducibility are two of the most important aspects of a scientific paper. Most deep learning based papers lack both these properties.
10.
by webaba 10y ago
In aeronautics, we were able to increase safety to an insane level by understanding the physics of the environment, formally proving and certifying algorithms, using Robust control theories that allow to formally deal with uncertainty. The
11.
by webaba 10y ago
This is actually completely incorrect. Many cognitive biases occur at low levels of cognition without involving language, take professional pilots and confirmation biases despite of a ton of training data.
12.
by webaba 10y ago
Love it
13.
by webaba 10y ago
You're so right, actually there is nothing new in this idea. Kalman filters (so basically belief propagation based on gaussian observations) were already used by DL Kleinman in 1970 to model aircraft pilots behavior. We are way past th
14.
by webaba 11y ago
I feel like frameworks like Meteor promote systematic use of websockets, and more and more developers don't even try to implement scalable stateless server code.
15.
by webaba 11y ago
Most web devs think they need websockets but they really don't.