See my other comment
> Humans get a hand crafted curriculum inputs, evolved over 1000s of iterations, in a near-optimal language encoding.
183 karma · joined September 12, 2018
> Humans get a hand crafted curriculum inputs, evolved over 1000s of iterations, in a near-optimal language encoding.
I am sympathetic to the "total life time input" argument.
But humans get a hand crafted curriculum inputs, evolved over 1000s of iterations, in a near-optimal language encoding.
Also, if unsupervised gets us in-dist, and DRL seems to be not-bad in search-out-of-dist.... then we are getting close ?
Certainly a x100 scaling of current techniques can get a useful enough machine that makes many human tasks trac-able?
(I am not getting into the Turing / AGI / skynet argument)
But
A large portion of that mass is in a too high or too low temperature state to support any complexity (I am not a physicist!)
On the other hand, a single pound of neurons is more powerful than a warehouse of nano-scale-minituarized silicon.
Consciousness itself may or may not be a purely emergent property of this complexity.
We already have fairly robust (and simple!) rules for most physical, chemical and biological behaviour.
Other than the creation and ending of he universe, Consciousness is certainly a top candidate no ?
I feel this is a lot less controversial than urban mega-dwellings which can cause undue hardship for mere millionaires.
I dont want to mount and expose nfs, or allow a full ssh login. This will be a custom agent/daemon on both ends
For example, on the local system:
remote-execute gcc localfile.c -o localfile.o
And on the remote system, there is a gcc and a remote agent which receives and retransmits the files
AFAIK, the memory-communication power can increase by orders of magnitude if u go off-core, off-chip, off-cache, etc.
AFAIK, the memory-communication power can increase by orders of magnitude if u go off-core, off-chip, off-cache, etc.
This experience actually sounds both common and unavoidable.
FAANGs have x10 candidates for every position. So the interviews are indeed both difficult and arbitrary. And after a rejection they can always call you after 6 months and restart the whole shtick. So why not. Sigh.
As someone who interviewed 100s of software engineers - its just the system doing its best, and there is usually no bad-intent on either side.
> a practice at odds with the company’s stated policies...
> .. as stated to congress
2-3 years experience, web front end and/or B2C marketing
Even with some traction/users/conversion/revenue, and a grand long-term vision, a suggested 15%-25% dilution [1] gives $4-10M valuation. Outside SV, this is already Series A valuation. Any thoughts ?
What r your opinions ?
Can u mention how much human Dev time is involved?
We have a stupid-basic single machine Deep reinforcement Self play setup. It takes about 24 hrs to run a full experiment. The NN is the bottle neck. Using Tensor flow. Nothing fancy.
How much dev time for a good enginner (backend, kernel, multi core experience) to get this down to say 1hr ?
Obviously a very general question. Thanks for any input.
For what's its worth. Its a totally new startup. This is my first (failed?) attempt at finding partners online?
Maybe we are like Robinhood? Paying millennials a higher interest rate AND giving them zero-commision stock trades :)
Checked out your profile/web page.
Can i email you about a small biz-dev opportunity?
We PAY YOU a monthly commission. We dont want any customer or account data. We dont compete with u, or your customers.
I hope this doesn't sound too spammy..
I think the real problem is cutting down the initial 1000 CVs no ?
> TikTok was splurging by spending nearly $1 billion on advertising for the year
Yikes. Yes. Thank you. I wish i had this 2 months ago.
If I have several tasks, plenty of samples for each task, and a network that converges well for each task.
Cant i just mix and task-label these samples, train from scratch a slightly bigger network, and ta dam .. a multi modal network or what ever?
Err.. so there are only 3 widget types right now? This looks like a neat idea. More widgets needed.
But i am not a UI or front-end guy. Am i mis-understanding? Are users supposed to design our own widgets?
For example, if i train on a a 100x100 image domain, with good results. So now I get a bigger budget to work with 200x200 images. There is no real way to leverage the good architecture from the 1st network. Is there ?
Can this be done as a ugly-hack and then be used as a seed into the architecture-search ?
I am a complete noob, so i just did Keras (to TF) and GPUs.
If i switch to TPU - its still the same code.
When i get the budget to cluster, i think I am better off with one of the Deepmind libs which TF based.
No?
Maybe if we just put 10 of these mini-controllers in each home, we can cover the majority of electricity consumption, and get demand flexibility the cheap way (instead of fitting each home with an expensive smart meter).
(Obviously the cloud/app parts will have to be centralized with consumer opt-in and preferences etc..)
Have u thought about this ?
Has this approach been explored ?
great project..
Do you actually run pay-per-action campaigns, or do you provide a dashboard for the customer data ?
Were u allowed to withdraw your balance? What r u switching too?
How much do u earn on these platforms ?!
Also - i find it ridiculous that they try to enforce non-external-communication with the people u hire. I want to talk to these guys 5 times a day, share repositories, etc. Its weird