Teodolfo

8 ms·

31.
by Teodolfo 11y ago
Demis said it used roughly the same hardware resources as against Fan Hui?
32.
by Teodolfo 11y ago
Many of the people saying not to worry ALSO predicted AlphaGo. So let's not get ahead of ourselves.
33.
by Teodolfo 11y ago
Do you realize that AlphaGo has a 77% win rate against CrazyStone with a four stone handicap ? It is far far stronger than CrazyStone and Zen.
34.
by Teodolfo 11y ago
I've never been stuck in a local optimum when training a big neural net. No one ever runs to convergence.
35.
by Teodolfo 11y ago
I am shocked to hear that the techno-libertarian goldbuggery scheme didn't work out well.
36.
by Teodolfo 11y ago
I'm surprised people don't take the time to figure out what the options actually mean and negotiate some of the terms. When I have negotiated with startups I have paid for legal advice to help me figure out what language I needed
37.
by Teodolfo 11y ago
Would you write something for biologists entitled "working on Drosophila considered harmful"?
38.
by Teodolfo 11y ago
It is really sad that the people funding these excellent researchers have no fucking clue about AI (they know plenty about other things and have done plenty of good work, but the level of nonsense here is striking). Thank God they are givin
39.
by Teodolfo 11y ago
Even if you don't take what he says seriously, I think what he wrote in this particular post makes sense. When I negotiated with startups I demanded the 10 year exercise provision. I can't believe that isn't standard. I don&#
40.
by Teodolfo 11y ago
Stay the course if the investment time horizon is 20+ years. Make sure you have an asset allocation you are comfortable with and aren't taking on too much or too little risk. Do nothing and ignore the noise.
41.
by Teodolfo 11y ago
Many people would prefer the NSO since they don't lose out on vested shares upon departure (or get saddled with a massive tax bill). If you have a good chunk of equity, the outcome can be pretty binary: worth something substantial or b
42.
by Teodolfo 11y ago
They haven't resolved all the practical problems, they just seem to have made some incremental progress.
43.
by Teodolfo 11y ago
http://civilrightsproject.ucla.edu/news/press-releases/2014-... Although that isn't the exact same statistic. Basically in NY black kids go to school with black kids and white kids go to school with white kid
44.
by Teodolfo 11y ago
Not in Calfornia: http://leginfo.legislature.ca.gov/faces/codes_displaySection... Even federally arguing that current salary is a trade secret is a legal gray area.
45.
by Teodolfo 11y ago
Many of us are compared to the folks at MIRI.
46.
by Teodolfo 11y ago
In the USA, outside of California and possibly a few other states, it isn't clear this is legal. Employers may be able to prohibit employees from publishing their salaries, although they can't prohibit employees from discussing co
47.
by Teodolfo 11y ago
Because it doesn't meet academic standards for publishing in NIPS and ICML, the most prestigious machine learning conferences. Edit: To clarify, research papers generally cite other peer-reviewed research papers in similar venues prefe
48.
by Teodolfo 11y ago
He won't do things for the non-open journals without getting something in return. In this case, he gets a Nature paper in return. He presumably would be willing to edit one for sufficient pay as well, he just won't do it for free.
49.
by Teodolfo 11y ago
The grad students do a lot of the professor's own research.
50.
by Teodolfo 11y ago
The author clearly doesn't understand the Szegedy et al. result and isn't really saying anything interesting. Pretty much ALL machine learning image classifiers suffer from these pathologies from Szegedy et al. so calling them &qu
51.
by Teodolfo 11y ago
The point of a professor at a research university is to interact with graduate students. At a teaching college they should be interacting with undergraduates.
52.
by Teodolfo 12y ago
The libraries all use CUDA right now. Hopefully people will eventually have more OpenCL stuff.
53.
by Teodolfo 12y ago
I completely agree that there is very little chance AI research will succeed any time soon, but not because AI researchers haven't listened enough to Jeff Hawkins. The way to understand human intelligence is to build computational mode
54.
by Teodolfo 12y ago
Using your analogy I would guess Geoff Hinton's goal is to understand aerodynamics and which parts of bird flight are actually necessary for flight and which are simply accidents of evolution.
55.
by Teodolfo 12y ago
11 billion parameters is a number of connections, not neurons. Connection weights, not neuron weights.
56.
by Teodolfo 12y ago
How is this similar to what the NIPS organizers did? It doesn't seem related at all.
57.
by Teodolfo 12y ago
Or knew about the Google paper demonstrating this? http://googleresearch.blogspot.ca/2014/11/a-picture-is-worth... Or the Toronto one? http://deeplearning.cs.toronto.edu/i2t Two institutions he is
58.
by Teodolfo 12y ago
That is not accurate at all. These people can and did do lots of research in academia and had plenty of data. They obviously get paid a lot more in industry, however.
59.
by Teodolfo 12y ago
Hawkins has no credibility in machine learning so I don't think people should really care about what he says. To the extent that anything he does say about the field makes sense, it isn't novel. Unfortunately our society reveres
60.
by Teodolfo 12y ago
Anyone interested in managing water should read the book Living with Water Scarcity (free pdf here http://livingwithwaterscarcity.com/ )

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