throwawaywego

Persona of a person wanting to study AWS for commercial projects at one of AWS's biggest clients:

- Create account. Enter credit card details, but verification SMS never shows up. Ask for help.

- I get called at night (I'm abroad) by an American service employee, we do verification over the phone.

- Try to get the hang of things myself. Lost in a swamp of different UI's. Names of products don't clarify what they do, so you first need to learn to speak AWS, which is akin to using a chain of 5 dictionaries to learn a single language.

- Do the tutorials. Tutorials are poorly written, in that they take you by the hand and make you do stuff you have no idea what you are actually doing (Ow, I just spun up a load balancer? What is that and how does it work?).

- Do more tutorials. Tutorials are badly outdated. Now you have a hold your hands tutorial, leading you through the swamp, but every simple step you bump your knee against an UI element or layout that does not exist in the tutorial. Makes you feel like you wasted your time, and that there is no one at AWS even aware that tutorials may need updating if one design department gets the urge to justify their spending by a redesign.

- Give up and search for recent books or video courses. Anything older than 3-4 years is outdated (either the UI's have changed, deprecated, or new products have been added).

- Receive an email in the middle of the night: You've hit 80% of your free usage plan. Log in. Click around for 20 minutes, until I find the load balancer is still up (weird, could have sworn I spun that entire tutorial down). Kill it, go back to sleep.

- Next night, new email: You've gone 3.24 $ over your free budget. Please pay. 30 minutes later: We've detected unusual activity on your account. 1 hour later: Your account has been de-activited. AWS takes fraud and non-payment very seriously.

Now I need a new phone number/name/address to create a new account. I am always anxious that AWS will charge for something that I don't want, and can't find the UI that shows all running tutorial stuff that I really don't want to pay for. I know the UI is unintuitive, non-consistent, and out-of-sync with the technical - and tutorial writers. And I know that learning AWS, consists of learning where tutorials and books are out-dated, or stumbling around until you find the correct set of sequences in a "3 minutes max." tutorial step.

AWS has grown fat and lazy. The lack of design - and onboarding consistency is typical for a company of that size. Outdated tutorials show a lack of inter-team communication, and seems to indicate that no one at AWS reruns the onboarding tutorials every month, so they can know what their customers are complaining about (or why they, like me, try to shun their mega-presence).

(EDIT: The order of my experiences may be a bit jumbled. Sorry. More constructive feedback: 1) I'd want a safe tutorial environment, with no (perceived) risk of having to pay for dummy services. 2) I want the tutorial writer to have the customer's best interest in mind: "For a smaller site, load balancing may be overkill, and can double your hosting costs for no tangible gains." beats "Hey Mark, we need more awareness and usage on the new load balancer. I need you to write a stand-alone tutorial, and add the load balancer to the sample web page tutorial." 3) Someone responsible for updating the tutorials (even if: "This step is deprecated. Please hold on for a correction") 4) A unified and consistent UI and UX. Scanning, searching, sorting, etc. should work without making me think, I don't want a different UI model for every service. Someone or some team to create the same recipes and boundaries for the different 2-pizza teams, so I don't get a pizza UI with all possible ingredients.)

Give me physical opt-out. A "robots.txt"/do-not-track for computer surveillance spiders. Let me wear a necklace or QR code on my shoulder, and any commercial face tracking software, is required to create a big black blindspot where my facial micro-expressions used to be.

It is a restate of the conspiratorial claim in my first post. One is justified to say anything one pleases, but it could still be a detraction or pointless speculation: "News flash: Alice Zhang has long hair. Women frequently have long hair. But, Bobby Joe is a surfer dude, and surfer dudes like long hair and frequently have long hair too. I haven't seen Bobby yet, or saw a photo of him, but I relevantly pose that I am justified in saying -- using my a priori knowledge of surfer dudes -- that Bobby, a man, likely has long hair too. My evidence is that Bobby, being a surfer dude, has an incentive to like long hair. I am not contradicting that Alice does not have long hair, just complementing the discussion with extensively documented history of surfer dudes and the likelihood of Bobby's hair length."

Stating "The US is funding the Hong Kong protests" may very well be found true later on, but right now, it is a conspiracy theory without any evidence, not a matter of probability based on arbitrary priors. This conspiracy theory is actively used in online propaganda with an aim to erode trust in the US, playing on plausible blame and prejudice. It is a distraction tactic, where two wrongs somehow make a right, or make us feel better about the dangerous road taken, because we conclude that nowhere is safe.

Really no better than: "Let's discuss: Employee China stole something from the communal fridge." "Sure, but what about Employee US? I judged him stealing last year. I assume it very probable that Employee US is stealing from Employee China right now. Maybe that's why Employee China was so hungry, he was forced to steal, because Employee US started it. Maybe Employee China did not even steal anything, just took the blame for an unredeemable thief. Let's discuss and pontificate about that hypothetical instead!"

> What if this is the answer?

It would be a copout. Instead of actually tackling AI's problem of common sense, claim that maybe layers of logistic regression and matrix factorization is all there is, we are its equal, just a few layers up in abstraction and evolution. Does one really stem and count tokens to decide if a movie review is negative sentiment? Or does one empathize with its writer and build a complete model inside your head?

The horse would be the AI researcher claiming reasoning and understanding from an activation vector trained on word co-occurence on Wikipedia, and the farmer giving clues, is the heated community and industry, mistaking impressive dataset performance for a solution for a problem they're starting to forget.

> Why do you believe it's a composite image?

Because it is common to reconstruct a signal by taking multiple measurements, instead of a single sample. The field of compressed sensing broke ground on effective sampling. If (some) error is random noise, then you can remove this by majority vote. It is ineffective not to re-use that high-resolution secret drone fly-over footage, when composing satellite imagery at a later date. Inpainting, upscaling, de-oldifying, automatic coloring, 3D modeling, composition (see black hole photo process) etc. have become common usage in the ML community, and so I have reason to assume these techniques are also used to enhance and improve the resolution and unobserved guesstimates of satellite imagery.

> how are you going to connect the coloured blob that is the car with an image taken by a traffic cam at a different time in a country that doesn't give you access to its traffic cams?

Install road-side pointing camera's inside rented housing / contracted freedom fighter homes? Hack the traffic cams?

Didn't the NSA track mobiles in foreign countries by installing similar beacons / hacking sensors in bigger cities? That would theoretically allow them to view through the car roof and "see" who is in the backseat.

> The spy agency is said to be tracking the movements of “at least hundreds of millions of devices” in what amounts to a staggeringly powerful surveillance tool. It means the NSA can, through mobile phones, track individuals anywhere they travel – including into private homes – or retrace previously traveled journeys.

> The NSA provided some input into the report, with one senior collection manager, granted permission to speak to the newspaper, admitting the agency is “getting vast volumes” of location data from around the planet by tapping into cables that connect mobile networks globally.

> According to the Post, the NSA is applying sophisticated mathematical techniques to map cell phone owners’ relationships, overlapping their patterns of movement with thousands or millions of other users who cross their paths.

I'm of the understanding that this was not a single image, but a composite image, taking by different satellites, planes, and/or drones.

The US could have build test facilities in their deserts, have a 3-D model available for proper reconstruction, and then learn to stitch and skew back all imagery into a single composite image. There may even be some "filling in" or "sharpening" of pixels or textures that could not be observed, but are guessed from their context.

In the framework of composite imagery, it would indeed be possible to zoom in, until you get to camera's capturing road traffic (maybe the license plate was not observed in the moment the main photo was taken, but was remembered from an observation by traffic camera 30 minutes ago and stitched back onto the object: composite imagery through time).

Finally, you could use multiple non-image sources for the composition. If three (ground) sensors capture the noise, heat, or vibrations from a train on a train track, you can now triangulate and draw the location of that train on space photos at a timestamp of your choosing.

So you predict if they have a general mild preference for the Democrats, then mine if they once reacted strongly on certain triggers: gun control, weak leadership, immigrants, drug addiction, patriotism, racism, elitism, religion & conspiracy. Then you personalize the message for them: Hillary will take away all guns, Hillary is ill and frail, The Democrats let copkillers enter the USA, China ships fentanyl to American youth, and wants to steal your steel workers' money, look at these violent BLM protesters and one snippet of Clinton talking about superpredators, there is a deep state which let Obama play pingpong in the basement of a pizza place, we have a non-crooked Christian Vice President and Hillary smells of sulfur.

It is difficult to provide a counterfactual here (would Obama have won if his campaign hadn't put any effort in digital?), so I am not sure if you are requiring that.

For factual analysis of the effects and strategies employed by Obama (on a casual glance, most of which support the statement that Obama's campaign was highly successful), do a search on Google Scholar. Here are a few highly cited political science sources I was able to pull (need to get back to work now).

> Digital media in the Obama campaigns of 2008 and 2012: Adaptation to the personalized political communication environment

> This essay provides a descriptive interpretation of the role of digital media in the campaigns of Barack Obama in 2008 and 2012 with a focus on two themes: personalized political communication and the commodification of digital media as tools. The essay covers campaign finance strategy, voter mobilization on the ground, innovation in social media, and data analytics, and why the Obama organizations were more innovative than those of his opponents. The essay provides a point of contrast for the other articles in this special issue, which describe sometimes quite different campaign practices in recent elections across Europe.

> From Networked Nominee to Networked Nation: Examining the Impact of Web 2.0 and Social Media on Political Participation and Civic Engagement in the 2008 Obama Campaign

> This article explores the uses of Web 2.0 and social media by the 2008 Obama presidential campaign and asks three primary questions: (1) What techniques allowed the Obama campaign to translate online activity to on-the-ground activism? (2) What sociotechnical factors enabled the Obama campaign to generate so many campaign contributions? (3) Did the Obama campaign facilitate the development of an ongoing social movement that will influence his administration and governance? Qualitative data were collected from social media tools used by the Obama ‘08 campaign (e.g., Obama ‘08 Web site, Twitter, Facebook, MySpace, e-mails, iPhone application, and the Change.gov site created by the Obama-Biden Transition Team) and public information. The authors find that the Obama ‘08 campaign created a nationwide virtual organization that motivated 3.1 million individual contributors and mobilized a grassroots movement of more than 5 million volunteers. Clearly, the Obama campaign utilized these tools to go beyond educating the public and raising money to mobilizing the ground game, enhancing political participation, and getting out the vote. The use of these tools also raised significant national security and privacy considerations. Finally, the Obama-Biden transition and administration utilized many of the same strategies in their attempt to transform political participation and civic engagement.

> The Internet's Role in Campaign 2008

> A majority of American adults went online in 2008 to keep informed about political developments and to get involved with the election.