88 karma · joined January 22, 2017
Skipping back to private consumer data, a law that clearly states that executives go to jail when there is a breach of private consumer data would likely increase the chances that the executives will pay better attention to what data is collected, how data is stored, and how data is protected.
Tangential topic: an interesting regulatory idea would be to have mandatory jail time for all executives (and board members) of a company of a minimum size that is successfully sued in a class action for more than X dollars. Make it strictly liable so that no direct knowledge is required to convict so as to punish executives who allow their companies to harm the public. If an executive allows their company to harm the public, then that person is not fit to serve as an executive.
The exercise then becomes one of finding the minimal constraints needed to achieve the desired results. Please correct if needed, but looking at the Dota 2 neural network [1], it boils down to generating an input State vector from the Dota 2 bot output interface, running the state Vector through an lstm (of sufficient length) to generate an output State vector, and generating the inputs for the Dota 2 bot input interface from the output State vector. Update this network (1) to have the input State Vector generated from a convolutional network that feeds a fully connected Network and uses the frame buffer as input and (2) to have the final outputs of the neural network be keyboard and mouse commands instead of dota 2 bot input interface commands, then let the network train itself. The number of elements in the state vector, the number of convolutional layers, the number of lstm layers, and the number of layers and elements in each fully connected hidden layer could each also be determined by a recurrent neural network.
[1] https://towardsdatascience.com/the-science-behind-openai-fiv... (see the image under "The Architecture")
[ random capitalization powered by Google speech dictation ]
One of the next significant moments could be taking the current Dota 2 algorithm and massaging it to use human style inputs and outputs. Please correct if needed, but the current Dota 2 algorithm boils down to (1) a fully connected network that generates an input state vector from the Dota 2 bot output interface, (2) an LSTM of sufficient length that generates an output state vector from the input state vector, and (3) another fully connected network that generates the Dota 2 bot interface inputs from the output state vector. This could be updated to have (1a) a convolutional network that feeds into a fully connected network, where the input to the convolutional network is the frame buffer (and perhaps the audio output) and the output of the fully connected network is the input state vector, (2) the same or similar LSTM network, and (3a) a fully connected network that outputs keyboard and mouse commands instead of DotA 2 bot interface inputs.
It is an open question as to whether current compute power is sufficient for this massage.
Another interesting part will be creating an AI / neural network that can utilize inputs that are closer to human level inputs (e.g., using the frame buffer and audio out as input to the neural network and passing the outputs of the neural network to a keyboard and mouse driver). Just let the network train itself without having a human laboriously determine the topology of the neural network. Such a neural network can then be applied to several different types of games / problems much more quickly than at present where significant human labor is required to generate deeply customized neural networks for each game / problem.
1 create a GPU friendly cryptocurrency where the payload includes a two dimensional data set (or image) that is processed with a standardized neural network model
2 let programmers pay a mining fee to expedite execution
3 instead of GPUs doing nothing but redundant calculations and getting replaced by ASICs, mining GPUs can dual purpose mine and execute arbitrary code
Will it be efficient, probably not. It does kill two birds with one stone
This is a 'throwing the baby out with the bathwater' issue. Change the patent system too much, and inventors will not be able use their ideas to compete against the big money of established players.
And this is exactly the reason why the comment was posted. I.e., the debate about how to help laborers transition to different types of labor may not be the correct debate because it only pushes out the problem to the next technological revolution, which will likely come even faster. Improving technology reduces the need for labor while at the same time it increases opportunities for investment. Hence, perhaps the debate should focus on transitioning from a labor based society to an investor based society.
Assuming that the labor economy is dying, then all laborers (truck drivers and code writers) need to figure out how to transition from generating livable income with their labor to generating livable income from their investments.
Difficult? Yes. But is it any more difficult than attempting to acquire sufficient resources to live using obsolete labor skills?
Will a manager release truthful aggregate information, such as averages and standard deviations so that individuals can see for themselves how they stack up against the group? Will this information also be correlated for height, weight, and other physiological parameters?
Or will a manager selectively hoard and release specific pieces of information to create fear, uncertainty, and doubt in the minds of the workers in an attempt to squeeze out more productivity?
1 Business lobbies to get oppressive tariffs promising it will spur innovation
2 Tariff passes, business market value rises because of reduced competition
3 Business stops innovating because there is no foreign competition
4 Business shares stagnate without innovative product line because there is little need to innovate
5 Business lobbies for higher tariffs, repeat from step 2
It can be argued that tariffs are little more than Pyrrhic victories for the industries involved that hold back the nation as a whole and create a downward spiral
Law enforcement has already been seen to act adversarial to private interests, remotely logging out of computers is utilized to try and limit law enforcement's ability to obtain information beyond the scope of a warrant. There is little doubt that law enforcement would willingly take information beyond the scope of the warrant and later find a way to use it against them.
1 photographer uploads photo;
2 photo consumer (e.g., magazine) pays USD to Kodak for photo usage;
3 Kodak pays KodakCoin to photographer;
Then it looks like a cash grab and the chances of success may be limited because there is no demand driving the price of KodakCoin.
If the cycle is:
1 photographer uploads photo;
2a photo consumer buys KodakCoins from exchange;
2b photo consumer pays KodakCoins to Kodak for photo usage;
3 Kodak pays KodakCoin to photographer.
Then it may be viable because requiring the consumer to purchase coin creates demand for the coin.
If this harming of rights were true, then one could arguably expect funding for small startups to decline since those small startups would have less ability to protect their intellectual property and be more vulnerable to established competitors, which would result in the small startups having a lower likelihood of success.
As noted in the article, numbers for startups have declined, which lends credence to the idea that the courts and laws have gone too far. Furthermore, other jurisdictions (China) are picking up the slack and seeing increased startup activity.
Agreed.
>Rather, [the government] should try to open the way for the private industry ...
Disagree, at least in part.
One source of personal frustration is the perception that rich techies who made their fortunes by writing programs without explicit government approval/legislation seem to spend a lot of time begging for government solutions (like UBI) or approvals for these problems without first attempting to use their money, brains, and tech with a little creativity to generate extra-governmental solutions.
I am skeptical that UBI will work because paying people for nothing seems like it may be counterproductive by creating rampant inflation or by acting as a disincentive for most.
The rampant inflation argument, which most economists would use to argue against UBI, is interesting because most countries seem to be suffering from deflation. If deflation is a problem, then inflation created by UBI could be beneficial to an economy. But getting a government to start up a new UBI program to combat deflation does not seem like an efficient path for creating a solution because governments are slow, rarely do things correctly, and magnify their mistakes by taking years to correct initial imperfections.
Rather, focusing the brains, money, and technology of Silicon Valley on proving the idea with a cryptocurrency based UBI seems like a much more efficient approach to either 1) create a solution (the preferred option) or 2) settle the debate so that we can move on.
[2] https://www.mannabase.com/
[3] https://medium.com/@fcecin/the-basic-whitepaper-7e789f16abe
[4] http://www.greshm.org/files/greshm.pdf
[5] https://ourbasicincome.wordpress.com/2015/06/18/circles-univ...