Google Pixel Quotes

So why haven’t more Google users switched to Bing? Habits keep users loyal. If a user is familiar with the Google interface, switching to Bing requires cognitive effort. Although many aspects of Bing are similar to Google, even a slight change in pixel placement forces the would-be user to learn a new way of interacting with the site. Adapting to the differences in the Bing interface is what actually slows down regular Google users and makes Bing feel inferior, not the technology itself. 

A smartphone allows you to choose your own adventure. So be a hero, not a villain. Don’t be your own worst enemy. No wasting time… No training your brain not to remember things, losing the skills necessary to read a fucking map… No trolling. Don’t make snarky remarks on comment threads or internet forums or social media. Just do good. Help others. If you’re out in the world and bored, which you shouldn’t be anyway, but still, if you feel like you need to get on your phone, be useful. Answer questions, offer advice. Look only for question marks when you scroll through your Facebook news feed. Log on to Reddit and comment on something you have firsthand knowledge of and real insight about. Give far more than you take. Never text and walk. And stop googling things as you think of them. Instead, write it down and look it up later. If you can’t remember to do this, then you didn’t deserve to know the answer. This will keep your mind active, agile; clear to really think. It will keep you sharp. Using the internet for information or socialization should be an activity, something you sit down for—it should not be used while out and about. You should not refuse the beauty of what’s in front of you for mere pixels of red, green, blue on a 3.5-inch screen. Otherwise, you’ll lose yourself. An abyss of ones and zeros will swallow you whole. Don’t be a dumb motherfucker with a smartass phone.

These are the ten steps Peg uses to promote a blog post: Write multiple interesting and click-worthy versions of the blog title. Create three images in Canva: 735 by 1102 pixels, 788 by 940 pixels, and 512 by 1024 pixels. Pin the 735-by-1102-pixel image on Pinterest with two links (one in the description field and one in the source field) back to the blog post. Embed the pin in your blog post with the Pinterest widget. Share the link to your post on LinkedIn with the 788-by-940-pixel image. Make sure the image name matches the title of your post, because LinkedIn shows the image name—for example, “image819809754.jpg” is awkward. Create a longer post on Google+ with the 735-by-1102-pixel image, a link to the blog, and a link to your Pinterest post. Share a short post on your Facebook profile and Page with the 788-by-940-pixel image. Add a question to start the conversation on Facebook, along with two links—one to the blog and one to the Pinterest post. Tweet the blog post with the 512-by-1024-pixel image. Schedule additional tweets with quotes from the post using the different titles. Share your article in relevant LinkedIn and Facebook groups and Google+ communities. Add relevant hashtags when you share your post so more people can find it.

Here’s something you may not know: every time you go to Facebook or ESPN.com or wherever, you’re unleashing a mad scramble of money, data, and pixels that involves undersea fiber-optic cables, the world’s best database technologies, and everything that is known about you by greedy strangers. Every. Single. Time. The magic of how this happens is called “real-time bidding” (RTB) exchanges, and we’ll get into the technical details before long. For now, imagine that every time you go to CNN.com, it’s as though a new sell order for one share in your brain is transmitted to a stock exchange. Picture it: individual quanta of human attention sold, bit by bit, like so many million shares of General Motors stock, billions of times a day. Remember Spear, Leeds & Kellogg, Goldman Sachs’s old-school brokerage acquisition, and its disappearing (or disappeared) traders? The company went from hundreds of traders and two programmers to twenty programmers and two traders in a few years. That same process was just starting in the media world circa 2009, and is right now, in 2016, kicking into high gear. As part of that shift, one of the final paroxysms of wasted effort at Adchemy was taking place precisely in the RTB space. An engineer named Matthew McEachen, one of Adchemy’s best, and I built an RTB bidding engine that talked to Google’s huge ad exchange, the figurative New York Stock Exchange of media, and submitted bids and ads at speeds of upwards of one hundred thousand requests per second. We had been ordered to do so only to feed some bullshit line Murthy was laying on potential partners that we were a real-time ads-buying company. Like so much at Adchemy, that technology would be a throwaway, but the knowledge I gained there, from poring over Google’s RTB technical documentation and passing Google’s merciless integration tests with our code, would set me light-years ahead of the clueless product team at Facebook years later.

The criteria that I found most valuable when making my decisions were the following: What is the size of the investor community invested in other offerings on the platform to-date? Does the platform accept investments via credit card? For example, about 40% of my crowdfunding investors invested with a credit card. Does the platform allow for campaign extensions (if you fall short of your goal within your campaign period, can you extend the campaign until you reach your goal)? I’ve extended my campaigns multiple times. Does the platform allow for multiple disbursements? I prefer to disburse money from my campaign once a month. However, many platforms don’t allow you to disburse the funds until after the campaign is over What are the fees? Platforms can charge between 5-20% of your raise as fees, with some platforms having complicated fee structures that involve taking some of your Securities as part of the offering. Some platforms require you to pay them cash upfront before launching an offering. Does the platform allow you to set your own terms? For example, some platforms don’t allow you to sell convertible notes. Some others don’t allow you to sell non-voting common stock. Some platforms insist that they set the valuation for your startup in order to launch—the logic being that they know their investors, and they want to provide them with a “good deal.” For many reasons, you want to sell the Security that’s right for your startup. Does the platform allow you to have design freedom on the campaign page? You want to make sure that your brand is well represented. The aesthetics and optimization of the page are highly correlated with conversion (how many people invest after visiting your page). Does the platform support analytics? You need advanced analytics to market your offering. Some platforms, for example, allow you to enter a Facebook Pixel and Google Analytics code into the campaign page, while others do not. Does the platform have a good reputation? You will be driving a lot of potential investors and media folks to this platform, and you want to be sure that your platform of choice hasn’t been involved in anything shady in the past. Does the platform allow you to update your investors and prospective investors with campaign notifications? Some platforms have a built-in functionality where you can post updates right on the campaign, download email, and mailing contact lists of your investors (allowing you to contact them by email and allowing you to build Facebook “lookalike audiences”). Whereas, other platforms don’t even share the email addresses of the folks who have already invested in your startup. Does the platform support or plan to support secondary trading for the Securities that it sells on its platform? Will your investors be able to sell the Securities that they buy from you? The ability to sell Securities in a marketplace brings a lot of liquidity and increases its value significantly. In order to allow for secondary trading, the platform needs to obtain an Alternative Trading System (ATS) approval from FINRA.

It’s easy for you to tell what it’s a photo of, but to program a function that inputs nothing but the colors of all the pixels of an image and outputs an accurate caption such as “A group of young people playing a game of frisbee” had eluded all the world’s AI researchers for decades. Yet a team at Google led by Ilya Sutskever did precisely that in 2014. Input a different set of pixel colors, and it replies “A herd of elephants walking across a dry grass field,” again correctly. How did they do it? Deep Blue–style, by programming handcrafted algorithms for detecting frisbees, faces and the like? No, by creating a relatively simple neural network with no knowledge whatsoever about the physical world or its contents, and then letting it learn by exposing it to massive amounts of data. AI visionary Jeff Hawkins wrote in 2004 that “no computer can…see as well as a mouse,” but those days are now long gone.

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