10 February 2019

Is Europe closing in on an antitrust fix for surveillance technologists?


The German Federal Cartel Office’s decision to order Facebook to change how it processes users’ personal data this week is a sign the antitrust tide could at last be turning against platform power.

One European Commission source we spoke to, who was commenting in a personal capacity, described it as “clearly pioneering” and “a big deal”, even without Facebook being fined a dime.

The FCO’s decision instead bans the social network from linking user data across different platforms it owns, unless it gains people’s consent (nor can it make use of its services contingent on such consent). Facebook is also prohibited from gathering and linking data on users from third party websites, such as via its tracking pixels and social plugins.

The order is not yet in force, and Facebook is appealing, but should it come into force the social network faces being de facto shrunk by having its platforms siloed at the data level.

To comply with the order Facebook would have to ask users to freely consent to being data-mined — which the company does not do at present.

Yes, Facebook could still manipulate the outcome it wants from users but doing so would open it to further challenge under EU data protection law, as its current approach to consent is already being challenged.

The EU’s updated privacy framework, GDPR, requires consent to be specific, informed and freely given. That standard supports challenges to Facebook’s (still fixed) entry ‘price’ to its social services. To play you still have to agree to hand over your personal data so it can sell your attention to advertisers. But legal experts contend that’s neither privacy by design nor default.

The only ‘alternative’ Facebook offers is to tell users they can delete their account. Not that doing so would stop the company from tracking you around the rest of the mainstream web anyway. Facebook’s tracking infrastructure is also embedded across the wider Internet so it profiles non-users too.

EU data protection regulators are still investigating a very large number of consent-related GDPR complaints.

But the German FCO, which said it liaised with privacy authorities during its investigation of Facebook’s data-gathering, has dubbed this type of behavior “exploitative abuse”, having also deemed the social service to hold a monopoly position in the German market.

So there are now two lines of legal attack — antitrust and privacy law — threatening Facebook (and indeed other adtech companies’) surveillance-based business model across Europe.

A year ago the German antitrust authority also announced a probe of the online advertising sector, responding to concerns about a lack of transparency in the market. Its work here is by no means done.

Data limits

The lack of a big flashy fine attached to the German FCO’s order against Facebook makes this week’s story less of a major headline than recent European Commission antitrust fines handed to Google — such as the record-breaking $5BN penalty issued last summer for anticompetitive behaviour linked to the Android mobile platform.

But the decision is arguably just as, if not more, significant, because of the structural remedies being ordered upon Facebook. These remedies have been likened to an internal break-up of the company — with enforced internal separation of its multiple platform products at the data level.

This of course runs counter to (ad) platform giants’ preferred trajectory, which has long been to tear modesty walls down; pool user data from multiple internal (and indeed external sources), in defiance of the notion of informed consent; and mine all that personal (and sensitive) stuff to build identity-linked profiles to train algorithms that predict (and, some contend, manipulate) individual behavior.

Because if you can predict what a person is going to do you can choose which advert to serve to increase the chance they’ll click. (Or as Mark Zuckerberg puts it: ‘Senator, we run ads.’)

This means that a regulatory intervention that interferes with an ad tech giant’s ability to pool and process personal data starts to look really interesting. Because a Facebook that can’t join data dots across its sprawling social empire — or indeed across the mainstream web — wouldn’t be such a massive giant in terms of data insights. And nor, therefore, surveillance oversight.

Each of its platforms would be forced to be a more discrete (and, well, discreet) kind of business.

Competing against data-siloed platforms with a common owner — instead of a single interlinked mega-surveillance-network — also starts to sound almost possible. It suggests a playing field that’s reset, if not entirely levelled.

(Whereas, in the case of Android, the European Commission did not order any specific remedies — allowing Google to come up with ‘fixes’ itself; and so to shape the most self-serving ‘fix’ it can think of.)

Meanwhile, just look at where Facebook is now aiming to get to: A technical unification of the backend of its different social products.

Such a merger would collapse even more walls and fully enmesh platforms that started life as entirely separate products before were folded into Facebook’s empire (also, let’s not forget, via surveillance-informed acquisitions).

Facebook’s plan to unify its products on a single backend platform looks very much like an attempt to throw up technical barriers to antitrust hammers. It’s at least harder to imagine breaking up a company if its multiple, separate products are merged onto one unified backend which functions to cross and combine data streams.

Set against Facebook’s sudden desire to technically unify its full-flush of dominant social networks (Facebook Messenger; Instagram; WhatsApp) is a rising drum-beat of calls for competition-based scrutiny of tech giants.

This has been building for years, as the market power — and even democracy-denting potential — of surveillance capitalism’s data giants has telescoped into view.

Calls to break up tech giants no longer carry a suggestive punch. Regulators are routinely asked whether it’s time. As the European Commission’s competition chief, Margrethe Vestager, was when she handed down Google’s latest massive antitrust fine last summer.

Her response then was that she wasn’t sure breaking Google up is the right answer — preferring to try remedies that might allow competitors to have a go, while also emphasizing the importance of legislating to ensure “transparency and fairness in the business to platform relationship”.

But it’s interesting that the idea of breaking up tech giants now plays so well as political theatre, suggesting that wildly successful consumer technology companies — which have long dined out on shiny convenience-based marketing claims, made ever so saccharine sweet via the lure of ‘free’ services — have lost a big chunk of their populist pull, dogged as they have been by so many scandals.

From terrorist content and hate speech, to election interference, child exploitation, bullying, abuse. There’s also the matter of how they arrange their tax affairs.

The public perception of tech giants has matured as the ‘costs’ of their ‘free’ services have scaled into view. The upstarts have also become the establishment. People see not a new generation of ‘cuddly capitalists’ but another bunch of multinationals; highly polished but remote money-making machines that take rather more than they give back to the societies they feed off.

Google’s trick of naming each Android iteration after a different sweet treat makes for an interesting parallel to the (also now shifting) public perceptions around sugar, following closer attention to health concerns. What does its sickly sweetness mask? And after the sugar tax, we now have politicians calling for a social media levy.

Just this week the deputy leader of the main opposition party in the UK called for setting up a standalone Internet regulatory with the power to break up tech monopolies.

Talking about breaking up well-oiled, wealth-concentration machines is being seen as a populist vote winner. And companies that political leaders used to flatter and seek out for PR opportunities find themselves treated as political punchbags; Called to attend awkward grilling by hard-grafting committees, or taken to vicious task verbally at the highest profile public podia. (Though some non-democratic heads of state are still keen to press tech giant flesh.)

In Europe, Facebook’s repeat snubs of the UK parliament’s requests last year for Zuckerberg to face policymakers’ questions certainly did not go unnoticed.

Zuckerberg’s empty chair at the DCMS committee has become both a symbol of the company’s failure to accept wider societal responsibility for its products, and an indication of market failure; the CEO so powerful he doesn’t feel answerable to anyone; neither his most vulnerable users nor their elected representatives. Hence UK politicians on both sides of the aisle making political capital by talking about cutting tech giants down to size.

The political fallout from the Cambridge Analytica scandal looks far from done.

Quite how a UK regulator could successfully swing a regulatory hammer to break up a global Internet giant such as Facebook which is headquartered in the U.S. is another matter. But policymakers have already crossed the rubicon of public opinion and are relishing talking up having a go.

That represents a sea-change vs the neoliberal consensus that allowed competition regulators to sit on their hands for more than a decade as technology upstarts quietly hoovered up people’s data and bagged rivals, and basically went about transforming themselves from highly scalable startups into market-distorting giants with Internet-scale data-nets to snag users and buy or block competing ideas.

The political spirit looks willing to go there, and now the mechanism for breaking platforms’ distorting hold on markets may also be shaping up.

The traditional antitrust remedy of breaking a company along its business lines still looks unwieldy when faced with the blistering pace of digital technology. The problem is delivering such a fix fast enough that the business hasn’t already reconfigured to route around the reset. 

Commission antitrust decisions on the tech beat have stepped up impressively in pace on Vestager’s watch. Yet it still feels like watching paper pushers wading through treacle to try and catch a sprinter. (And Europe hasn’t gone so far as trying to impose a platform break up.) 

But the German FCO decision against Facebook hints at an alternative way forward for regulating the dominance of digital monopolies: Structural remedies that focus on controlling access to data which can be relatively swiftly configured and applied.

Vestager, whose term as EC competition chief may be coming to its end this year (even if other Commission roles remain in potential and tantalizing contention), has championed this idea herself.

In an interview on BBC Radio 4’s Today program in December she poured cold water on the stock question about breaking tech giants up — saying instead the Commission could look at how larger firms got access to data and resources as a means of limiting their power. Which is exactly what the German FCO has done in its order to Facebook. 

At the same time, Europe’s updated data protection framework has gained the most attention for the size of the financial penalties that can be issued for major compliance breaches. But the regulation also gives data watchdogs the power to limit or ban processing. And that power could similarly be used to reshape a rights-eroding business model or snuff out such business entirely.

The merging of privacy and antitrust concerns is really just a reflection of the complexity of the challenge regulators now face trying to rein in digital monopolies. But they’re tooling up to meet that challenge.

Speaking in an interview with TechCrunch last fall, Europe’s data protection supervisor, Giovanni Buttarelli, told us the bloc’s privacy regulators are moving towards more joint working with antitrust agencies to respond to platform power. “Europe would like to speak with one voice, not only within data protection but by approaching this issue of digital dividend, monopolies in a better way — not per sectors,” he said. “But first joint enforcement and better co-operation is key.”

The German FCO’s decision represents tangible evidence of the kind of regulatory co-operation that could — finally — crack down on tech giants.

Blogging in support of the decision this week, Buttarelli asserted: “It is not necessary for competition authorities to enforce other areas of law; rather they need simply to identity where the most powerful undertakings are setting a bad example and damaging the interests of consumers.  Data protection authorities are able to assist in this assessment.”

He also had a prediction of his own for surveillance technologists, warning: “This case is the tip of the iceberg — all companies in the digital information ecosystem that rely on tracking, profiling and targeting should be on notice.”

So perhaps, at long last, the regulators have figured out how to move fast and break things.


Read Full Article

Is Europe closing in on an antitrust fix for surveillance technologists?


The German Federal Cartel Office’s decision to order Facebook to change how it processes users’ personal data this week is a sign the antitrust tide could at last be turning against platform power.

One European Commission source we spoke to, who was commenting in a personal capacity, described it as “clearly pioneering” and “a big deal”, even without Facebook being fined a dime.

The FCO’s decision instead bans the social network from linking user data across different platforms it owns, unless it gains people’s consent (nor can it make use of its services contingent on such consent). Facebook is also prohibited from gathering and linking data on users from third party websites, such as via its tracking pixels and social plugins.

The order is not yet in force, and Facebook is appealing, but should it come into force the social network faces being de facto shrunk by having its platforms siloed at the data level.

To comply with the order Facebook would have to ask users to freely consent to being data-mined — which the company does not do at present.

Yes, Facebook could still manipulate the outcome it wants from users but doing so would open it to further challenge under EU data protection law, as its current approach to consent is already being challenged.

The EU’s updated privacy framework, GDPR, requires consent to be specific, informed and freely given. That standard supports challenges to Facebook’s (still fixed) entry ‘price’ to its social services. To play you still have to agree to hand over your personal data so it can sell your attention to advertisers. But legal experts contend that’s neither privacy by design nor default.

The only ‘alternative’ Facebook offers is to tell users they can delete their account. Not that doing so would stop the company from tracking you around the rest of the mainstream web anyway. Facebook’s tracking infrastructure is also embedded across the wider Internet so it profiles non-users too.

EU data protection regulators are still investigating a very large number of consent-related GDPR complaints.

But the German FCO, which said it liaised with privacy authorities during its investigation of Facebook’s data-gathering, has dubbed this type of behavior “exploitative abuse”, having also deemed the social service to hold a monopoly position in the German market.

So there are now two lines of legal attack — antitrust and privacy law — threatening Facebook (and indeed other adtech companies’) surveillance-based business model across Europe.

A year ago the German antitrust authority also announced a probe of the online advertising sector, responding to concerns about a lack of transparency in the market. Its work here is by no means done.

Data limits

The lack of a big flashy fine attached to the German FCO’s order against Facebook makes this week’s story less of a major headline than recent European Commission antitrust fines handed to Google — such as the record-breaking $5BN penalty issued last summer for anticompetitive behaviour linked to the Android mobile platform.

But the decision is arguably just as, if not more, significant, because of the structural remedies being ordered upon Facebook. These remedies have been likened to an internal break-up of the company — with enforced internal separation of its multiple platform products at the data level.

This of course runs counter to (ad) platform giants’ preferred trajectory, which has long been to tear modesty walls down; pool user data from multiple internal (and indeed external sources), in defiance of the notion of informed consent; and mine all that personal (and sensitive) stuff to build identity-linked profiles to train algorithms that predict (and, some contend, manipulate) individual behavior.

Because if you can predict what a person is going to do you can choose which advert to serve to increase the chance they’ll click. (Or as Mark Zuckerberg puts it: ‘Senator, we run ads.’)

This means that a regulatory intervention that interferes with an ad tech giant’s ability to pool and process personal data starts to look really interesting. Because a Facebook that can’t join data dots across its sprawling social empire — or indeed across the mainstream web — wouldn’t be such a massive giant in terms of data insights. And nor, therefore, surveillance oversight.

Each of its platforms would be forced to be a more discrete (and, well, discreet) kind of business.

Competing against data-siloed platforms with a common owner — instead of a single interlinked mega-surveillance-network — also starts to sound almost possible. It suggests a playing field that’s reset, if not entirely levelled.

(Whereas, in the case of Android, the European Commission did not order any specific remedies — allowing Google to come up with ‘fixes’ itself; and so to shape the most self-serving ‘fix’ it can think of.)

Meanwhile, just look at where Facebook is now aiming to get to: A technical unification of the backend of its different social products.

Such a merger would collapse even more walls and fully enmesh platforms that started life as entirely separate products before were folded into Facebook’s empire (also, let’s not forget, via surveillance-informed acquisitions).

Facebook’s plan to unify its products on a single backend platform looks very much like an attempt to throw up technical barriers to antitrust hammers. It’s at least harder to imagine breaking up a company if its multiple, separate products are merged onto one unified backend which functions to cross and combine data streams.

Set against Facebook’s sudden desire to technically unify its full-flush of dominant social networks (Facebook Messenger; Instagram; WhatsApp) is a rising drum-beat of calls for competition-based scrutiny of tech giants.

This has been building for years, as the market power — and even democracy-denting potential — of surveillance capitalism’s data giants has telescoped into view.

Calls to break up tech giants no longer carry a suggestive punch. Regulators are routinely asked whether it’s time. As the European Commission’s competition chief, Margrethe Vestager, was when she handed down Google’s latest massive antitrust fine last summer.

Her response then was that she wasn’t sure breaking Google up is the right answer — preferring to try remedies that might allow competitors to have a go, while also emphasizing the importance of legislating to ensure “transparency and fairness in the business to platform relationship”.

But it’s interesting that the idea of breaking up tech giants now plays so well as political theatre, suggesting that wildly successful consumer technology companies — which have long dined out on shiny convenience-based marketing claims, made ever so saccharine sweet via the lure of ‘free’ services — have lost a big chunk of their populist pull, dogged as they have been by so many scandals.

From terrorist content and hate speech, to election interference, child exploitation, bullying, abuse. There’s also the matter of how they arrange their tax affairs.

The public perception of tech giants has matured as the ‘costs’ of their ‘free’ services have scaled into view. The upstarts have also become the establishment. People see not a new generation of ‘cuddly capitalists’ but another bunch of multinationals; highly polished but remote money-making machines that take rather more than they give back to the societies they feed off.

Google’s trick of naming each Android iteration after a different sweet treat makes for an interesting parallel to the (also now shifting) public perceptions around sugar, following closer attention to health concerns. What does its sickly sweetness mask? And after the sugar tax, we now have politicians calling for a social media levy.

Just this week the deputy leader of the main opposition party in the UK called for setting up a standalone Internet regulatory with the power to break up tech monopolies.

Talking about breaking up well-oiled, wealth-concentration machines is being seen as a populist vote winner. And companies that political leaders used to flatter and seek out for PR opportunities find themselves treated as political punchbags; Called to attend awkward grilling by hard-grafting committees, or taken to vicious task verbally at the highest profile public podia. (Though some non-democratic heads of state are still keen to press tech giant flesh.)

In Europe, Facebook’s repeat snubs of the UK parliament’s requests last year for Zuckerberg to face policymakers’ questions certainly did not go unnoticed.

Zuckerberg’s empty chair at the DCMS committee has become both a symbol of the company’s failure to accept wider societal responsibility for its products, and an indication of market failure; the CEO so powerful he doesn’t feel answerable to anyone; neither his most vulnerable users nor their elected representatives. Hence UK politicians on both sides of the aisle making political capital by talking about cutting tech giants down to size.

The political fallout from the Cambridge Analytica scandal looks far from done.

Quite how a UK regulator could successfully swing a regulatory hammer to break up a global Internet giant such as Facebook which is headquartered in the U.S. is another matter. But policymakers have already crossed the rubicon of public opinion and are relishing talking up having a go.

That represents a sea-change vs the neoliberal consensus that allowed competition regulators to sit on their hands for more than a decade as technology upstarts quietly hoovered up people’s data and bagged rivals, and basically went about transforming themselves from highly scalable startups into market-distorting giants with Internet-scale data-nets to snag users and buy or block competing ideas.

The political spirit looks willing to go there, and now the mechanism for breaking platforms’ distorting hold on markets may also be shaping up.

The traditional antitrust remedy of breaking a company along its business lines still looks unwieldy when faced with the blistering pace of digital technology. The problem is delivering such a fix fast enough that the business hasn’t already reconfigured to route around the reset. 

Commission antitrust decisions on the tech beat have stepped up impressively in pace on Vestager’s watch. Yet it still feels like watching paper pushers wading through treacle to try and catch a sprinter. (And Europe hasn’t gone so far as trying to impose a platform break up.) 

But the German FCO decision against Facebook hints at an alternative way forward for regulating the dominance of digital monopolies: Structural remedies that focus on controlling access to data which can be relatively swiftly configured and applied.

Vestager, whose term as EC competition chief may be coming to its end this year (even if other Commission roles remain in potential and tantalizing contention), has championed this idea herself.

In an interview on BBC Radio 4’s Today program in December she poured cold water on the stock question about breaking tech giants up — saying instead the Commission could look at how larger firms got access to data and resources as a means of limiting their power. Which is exactly what the German FCO has done in its order to Facebook. 

At the same time, Europe’s updated data protection framework has gained the most attention for the size of the financial penalties that can be issued for major compliance breaches. But the regulation also gives data watchdogs the power to limit or ban processing. And that power could similarly be used to reshape a rights-eroding business model or snuff out such business entirely.

The merging of privacy and antitrust concerns is really just a reflection of the complexity of the challenge regulators now face trying to rein in digital monopolies. But they’re tooling up to meet that challenge.

Speaking in an interview with TechCrunch last fall, Europe’s data protection supervisor, Giovanni Buttarelli, told us the bloc’s privacy regulators are moving towards more joint working with antitrust agencies to respond to platform power. “Europe would like to speak with one voice, not only within data protection but by approaching this issue of digital dividend, monopolies in a better way — not per sectors,” he said. “But first joint enforcement and better co-operation is key.”

The German FCO’s decision represents tangible evidence of the kind of regulatory co-operation that could — finally — crack down on tech giants.

Blogging in support of the decision this week, Buttarelli asserted: “It is not necessary for competition authorities to enforce other areas of law; rather they need simply to identity where the most powerful undertakings are setting a bad example and damaging the interests of consumers.  Data protection authorities are able to assist in this assessment.”

He also had a prediction of his own for surveillance technologists, warning: “This case is the tip of the iceberg — all companies in the digital information ecosystem that rely on tracking, profiling and targeting should be on notice.”

So perhaps, at long last, the regulators have figured out how to move fast and break things.


Read Full Article

09 February 2019

5 New Google-Made Apps That Are Cool, Useful, and Fun


Google is constantly developing new apps, conducting experiments with AI, and making cool stuff. In case you missed their latest and greatest, here’s a quick rundown.

Google is a technology giant that is a massive part of how we use the internet today. Its developers and engineers constantly update Google apps or create new ones that make our digital lives easier. There is such a huge number of them, in fact, that it’s easy to miss out on some excellent tools, like the ones in this list.

Google Live Transcribe (Android): Transcribe What Anyone Is Saying

Google Live Transcribe is an accessibility tool meant to make life easier for those who are deaf or hard of hearing. It automatically turns any speech into text while the person is still speaking. It’s fast enough to be used in conversations.

The text can be a black font on a white background or a white font on a black background. The top-right corner indicates whether the environment is noisy, which means people have to speak louder to be heard. And if someone speaks to you from behind, the phone vibrates to let you know. Try it out, it works surprisingly smoothly.

The app uses Google’s Cloud Speech API, so it requires an active internet connection. Google says it doesn’t store any audio on its servers, but we’d take such proclamations with a pinch of salt. Google already knows a lot about you, and they do share data with authorities.

Download: Google Live Transcribe for Android (Free)

Squoosh (Web): Compress Images Online, With Advanced Options

Squoosh is an online image compression app made by google

There are some amazing online tools to edit images and reduce their size. But you don’t usually get granular control or advanced options. All that changes with Squoosh, which is bound to become your default app for all image compression.

At its base level, you can simple reduce the size in pixels, or reduce the palette of colors available. But when you get into compression, you get to do a whole lot more. You can tinker with the image’s compression file format, quality, channels, smoothing, and quantization. If you don’t know what these are, let Squoosh pick it for you. You could even experiment with each to learn more about them.

As you change the settings, the final output size will change in real time. You can also see a before-after comparison in real time, using a slider. Once you’re done, download the image to save it.

Password Checkup by Google (Chrome):

Password Checkup is a chrome extension to check if your passwords have been hacked

There are some excellent tools to check if your accounts have been hacked. Google is making it simpler with the Password Checkup extension for Chrome. You won’t have to go to sites any more, the tool will now tell you when it’s time to change a password.

The extension monitors your activity on all websites you visit. Every time you enter a username and password that is part of a data breach known to Google, you will immediately get an alert. If that happens, it’s obviously best policy to change the password to something more secure.

Google says the extension’s purpose is privacy, and so it never reports any identifying information about your accounts, passwords, or device. Used with the new Google Passwords manager, this tool should be able to help you stay safer on the internet.

Download: Password Checkup by Google for Chrome (Free)

Shadow Art (Web): Form Shadow Puppets With A.I. and Webcam

Animated GIF - Find & Share on GIPHY

This is so cool! Google has taken the ancient practice of forming shadow puppets with your hands, and turned it into an interactive digital experience. Shadow Art is one of Google’s A.I. experiments, available for free in the form of a web app. You’ll need a webcam and an active internet connection.

Here’s how it works. First you select your Zodiac animal sign. Shadow Art will then use your webcam to calibrate the space it’s looking at, and then show you an outline of hands. Use your hands to match the outline, and you’ll have created your first digital shadow puppet! As soon as it’s done, the puppet transforms into cool art.

Not only that, Shadow Art is also a game. You have to cycle through all 12 Zodiac signs, learning how to make the animal shape with your hands. You’ll get 20 seconds for each sign, so have fun!

Text.App (Chrome): Text Editor for Chrome and Chrome OS

Text.App is a free text editor and notepad replacement for chrome and chrome os

For some reason, Google Chrome OS does not have a simple notepad or text editor tool. Text.App is the missing software for both Chrome OS as well as regular Google Chrome, for those who want a text editor that saves to Google Drive.

Text.App has all the standard features of a text editor, and then some. For starters, you can open multiple files and switch between them as tabs. You can save files to Google Drive, and open directly from Drive too. Developers will be happy to know that the app has syntax highlighting, so you can paste your code and work in it.

The tool is completely free, but there isn’t a web app version. You will need to use it as a Chrome app only.

Download: Text.App for Chrome (Free)

More From Google

These are the five latest tools from Google that we think are cool and useful. But Google has made so much more in the recent past that you might not have seen some of the others. For instance, did you know about these 5 Google-made apps worth checking out?

Read the full article: 5 New Google-Made Apps That Are Cool, Useful, and Fun


Read Full Article

Feel the beep: This album is played entirely on a PC motherboard speaker


If you’re craving a truly different sound with which to slay the crew this weekend, look no further than System Beeps, a new album by shiru8bit — though you may have to drag your old 486 out of storage to play it. Yes, this album runs in MS-DOS and its music is produced entirely through the PC speaker — you know, the one that can only beep.

Now, chiptunes aren’t anything new. But the more popular ones tend to imitate the sounds found in classic computers and consoles like the Amiga and SNES. It’s just limiting enough to make it fun, and of course many of us have a lot of nostalgia for the music from that period. (The Final Fantasy VI opening theme still gives me chills.)

But fewer among us look back fondly on the days before sample-based digital music, before even decent sound cards let games have meaningful polyphony and such. The days when the only thing your computer could do was beep, and when it did, you were scared.

Shiru, a programmer and musician who’s been doing “retro” sound since it before it was retro, took it upon himself to make some music for this extremely limited audio platform. Originally he was just planning on making a couple tunes for a game project, but in this interesting breakdown of how he made the music, he explains that it ended up ballooning as he got into the tech.

“A few songs became a few dozens, collection of random songs evolved into conceptualized album, plans has been changing, deadlines postponing. It ended up to be almost 1.5 years to finish the project,” he writes (I’ve left his English as I found it, because I like it).

Obviously the speaker can do more than just “beep,” though indeed it was originally meant as the most elementary auditory feedback for early PCs. In fact the tiny loudspeaker is capable of a range of sounds and can be updated 120 times per second, but in true monophonic style can only produce a single tone at a time between 100 and 2,000 Hz, and that in a square wave.

Inspired by games of the era that employed a variety of tricks to create the illusion of multiple instruments and drums that in fact never actually overlap one another, he produced a whole album of tracks; I think “Pixel Rain” is my favorite, but “Head Step” is pretty dope too.

You can of course listen to it online or as MP3s or whatever, but the entire thing fits into a 42 kilobyte MS-DOS program you can download here. You’ll need an actual DOS machine or emulator to run it, naturally.

How was he able to do this with such limited tools? Again I direct you to his lengthy write-up, where he describes, for instance, how to create the impression of different kinds of drums when the hardware is incapable of the white noise usually used to create them (and if it could, it would be unable to layer it over a tone). It’s a fun read and the music is… well, it’s an acquired taste, but it’s original and weird. And it’s Friday.


Read Full Article

Transportation Weekly: Amazon’s secret acquisition and all the AV feels


Welcome to Transportation Weekly; I’m your host Kirsten Korosec, senior transportation reporter at TechCrunch. I cover all the ways people and goods move from Point A to Point B — today and in the future — whether it’s by bike, bus, scooter, car, train, truck, robotaxi or rocket. Sure, let’s include hyperloop and eVTOLs, or air taxis, too.

Yup, another transportation newsletter. But I promise this one will be different. Here’s how.

Newsletters can be great mediums for curated news — a place that rounds up all the important articles a reader might have missed in any given week. We want to do a bit more.

We’re doubling down on the analysis and adding a heaping scoop of original reporting and well, scoops. You can expect Q&As with the most interesting people in transportation, insider tips, and data from that white paper you didn’t have time to read. This isn’t a lone effort either. TechCrunch senior reporter Megan Rose Dickey, who has been writing about micro mobility since before the scooter boom times of 2017, will be weighing in each week in our “Tiny But Mighty Mobility” section below. Follow her @meganrosedickey.

Consider this a soft launch. There might be content you like or something you hate. Feel free to reach out to me at kirsten.korosec@techcrunch.com to share those thoughts, opinions, or tips.

Eventually, we’ll have a way for readers to sign up and have Transportation Weekly delivered each week via email. For now, follow me on Twitter @kirstenkorosec to ensure you see it each week.

Now, let’s get to the good stuff.


ONM …

There are OEMs in the automotive world. And here, (wait for it) there are ONMs — original news manufacturers.


This is where investigative reporting, enterprise pieces and analysis on transportation will live.

We promised scoops in Transportation Weekly and here is one. If you don’t know journalist Mark Harris, you should. He’s an intrepid gumshoeing reporter who TechCrunch has been lucky enough to hire as a freelancer. Follow him @meharris.

Amazon quietly acquired robotics company Dispatch to build Scout

dispatch-amazon-scout
Remember way back in January when Amazon introduced Scout, their autonomous delivery bot? There was speculation at the time that Amazon had bought the Estonian-based company Starship Technologies. Harris did some investigating and discovered some of the intellectual property and technology behind Scout likely came from a small San Francisco startup called Dispatch that Amazon stealthily acquired in 2017.

It’s time to stop thinking about Amazon as just an e-commerce company. It’s a gigantic logistics company, probably the biggest on the planet, with a keen interest — and the cash to pursue those interests — in automation. Think beyond Scout. In fact, wander on down this post to the deal of the week.


Dig In

Each week, transportation weekly will spend a little extra time on an approach, policy, tech or the people behind it in our ‘Dig In” section. We’ll run the occasional column here, too.

This week features a conversation with Dmitri Dolgov, the CTO and VP of engineering at Waymo, the former Google self-driving project that spun out to become a business under Alphabet.

waymo-google-10-years

Ten years ago, right around now, about a dozen engineers started working on Project Chauffeur, which would turn into the Google self-driving project and eventually become an official company called Waymo. Along the way, the project would give rise to a number of high-profile engineers who would go on to create their own companies. It’s a list that includes Aurora co-founder Chris Urmson, Argo AI co-founder Bryan Salesky and Anthony Levandowski, who helped launch Otto and more recently Pronto.ai.

What might be less known is that many of those in the original dozen are still at Waymo, including Dolgov, Andrew Chatham, Dirk Haehnel, Nathaniel Fairfield and Mike Montemerlo.

Dolgov and I talked about the early days, challenges and what’s next. A couple of things that stood out during our chat.

There is a huge difference between having a prototype that can do something once or twice or four times versus building a product that people can start using in their daily lives. And it is, especially in this field, very easy to make progress on these kinds of one-off challenges.

Dolgov’s take on how engineers viewed the potential of the project 10 years ago …

I also use our cars every day to get around, this is how I got to work today. This is how I run errands around here in Mountain View and Palo Alto.


A little bird …

We hear a lot. But we’re not selfish. Let’s share.
blinky-cat-birdAn early investor, or investors, in Bird appear to be selling some of their shares in the scooter company, per a tip backed up by data over at secondary trading platform EquityZen. That’s not crazy considering the company is valued at $2 billion-ish. Seed investors should take some money off the table once a company reaches that valuation.

We’ve heard that David Sacks at Craft Ventures hasn’t sold a single Bird share. We hear Tusk Ventures hasn’t sold, either. That leaves a few others, including Goldcrest Capital, which was the lone seed investor, and then Series A participants Lead Edge Capital, M13, and Valor Equity Partners.

Got a tip or overheard something in the world of transportation? Email me or send a direct message to @kirstenkorosec.

While you’re over at Twitter, check out this cheeky account @SDElevator. We can’t guarantee how much of the content is actually “overheard” and how much is manufactured for the laughs, but it’s a fun account to peruse from time to time.

Another new entrant to the mobility parody genre is @HeardinMobilty.


Deal of the week

There’s so much to choose from this week, but Aurora’s more than $530 million Series B funding round announced Thursday morning is the winner.

The upshot? It’s not just that Aurora is now valued at more than $2.5 billion. The primary investors in the round — Sequoia as lead and “significant” investments from Amazon and T. Rowe Price — suggests Aurora’s full self-driving stack is headed for other uses beyond shuttling people around in autonomous vehicles. Perhaps delivery is next.

And believe it or not, the type of investor in this round tells me that we can expect another capital raise. Yes, Aurora has lots of runway now as well as three publicly named customers. But investors like Sequoia, which led the round and whose partner Carl Eschenbach is joining Aurora’s board, T. Rowe Price and Amazon along with repeaters like Index Ventures (general partner Mike Volpi is also on the board) have patience, access to cash and long-term strategic thinking. Expect more from them.

Other deals that got our attention this week:


Snapshot

Speaking of deals and Tesla … the automaker’s $218 million acquisition this month of Maxwell Technologies got me thinking about companies it has targeted in the past.

So, we went ahead and built a handy chart to provide a snapshot view of some of Tesla’s noteworthy acquisitions. tesla-acquisitions-chart1

One note: Tesla CEO Elon Musk tweeted in 2018 that the company had acquired trucking carrier companies to help improve its delivery logistics. We’ve dug in and have yet to land on the company, or companies, Tesla acquired.

The deals that got away are just as interesting. That list includes a reported $325 million offer to buy Simbol Materials, the startup that was extracting small amounts of lithium near the Salton Sea east of San Diego.


Tiny but mighty mobility

Between Lime’s $310 million Series D round and the seemingly never-ending battle to operate electric scooters in San Francisco, it’s clear that micro mobility is not so micro.

Lime, a shared electric scooter and bikeshare startup, has now raised north of $800 million in total funding, surpassing key competitor Bird’s total funding of $415 million. Thanks to this week’s round of funding, Lime’s micromobility business is now worth $2.4 billion.

Lime currently operates its bikes and scooters in more than 100 cities worldwide. Over in San Francisco, however, Lime has yet to deploy any of its modes of transportation. Since last March, there’s been an ongoing battle among scooter operators to deploy their services in the city. The city ultimately selected Skip and Scoot for the pilot programs, leaving the likes of Lime, Uber’s JUMP and Spin to appeal the decision.

A neutral hearing officer has since determined SF’s process for determining scooter operators was fair, but the silver lining for the likes of JUMP, Spin and most likely, Lime, is that the city may open up its pilot program to allow additional operators beginning in April.


Notable reads

Two recent studies got my attention.

The first is from Bike Pittsburgh, an advocacy group and partner of Uber, that published the findings from its latest AV survey based on responses from local residents. The last time they conducted a similar survey was in 2017.

The takeaway: people there, who are among the most exposed to autonomous vehicles due to all the AV testing on public roads, are getting used to it. A bit more than 48 percent of respondents said they approve of public AV testing in Pittsburgh, down slightly from 49 percent approval rating in 2017. 

  • 21.21% somewhat approve
  • 11.62% neutral
  • 10.73% somewhat disapprove
  • 8.73% disapprove

One standout result was surrounding responses about the fatal accident in Tempe, Arizona involving a self-driving Uber that struck and killed pedestrian Elaine Herzberg in March 2018. Survey participants were asked “As a pedestrian or a bicyclist how did this change event and it’s outcome change your opinion about sharing the road with AVs?”

Some 60 percent of respondents claimed no change in their opinion, with another 37 percent claiming that it negatively changed their opinion. Nearly 3 percent claimed their opinion changed positively toward the technology.

Bike Pittsburgh noted that the survey elicited passionate open-ended responses. 

“The incident did not turn too many people off of AV technology in general,” according to Bike Pittsburgh. “Rather it did lead to a growing distrust of the companies themselves, specifically with Uber and how they handled the fatality.”

The other study, Securing the Modern Vehicle: A Study of Automotive Industry Cybersecurity Practices, was released by Synopsys, Inc.and SAE International.

The results, based on a survey of global automotive manufacturers and suppliers conducted by Ponemon Institute, doesn’t assuage my concerns. If anything, it puts me on alert.

  • 84% of automotive professionals have concerns that their organizations’ cybersecurity practices are not keeping pace with evolving technologies
  • 30% of organizations don’t have an established cybersecurity program or team
  • 63% test less than half of the automotive technology they develop for security vulnerabilities.

Testing and deployments

Pilots, pilots everywhere. A couple of interesting mobility pilots and deployments stand out.

Optimus Ride, the Boston-based MIT spinoff, has made a deal with Brookfield Properties to provide rides in its small self-driving vehicles at Halley Rise – a new $1.4 billion mixed-use development in Virginia. 

This is an example of where we see self-driving vehicles headed — for now. Small deployments that are narrowly focused in geography with a predictable customer base are the emerging trend of 2019. Expect more of them.

And there’s a reason why, these are the kinds of pilots that will deliver the data needed to improve their technology, as well as test out business models —gotta figure out how to money with AVs eventually — hone in fleet operational efficiency, placate existing investors while attracting new ones, and recruit talent.

Another deployment in the more conventional ride-hailing side of mobility is with Beat, the startup that has focused its efforts on Latin America.

Beat was founded by Nikos Drandakis in 2011 initially as Taxibeat. The startup acquired by Daimler’s mytaxi in February 2017 and Drandakis still runs the show. The company was focused on Europe but shifted to Latin America, and it’s made all the difference. (Beat is still available in Athens, Greece.) Beat has launched in Lima, Peru, Santiago, Chile and Bogota, Colombia and now boasts 200,000 registered drivers. 

Now it’s moving into Mexico, where more competitors exist. The company just started registering and screening drivers in Mexico City as it prepares to offer rides for passengers this month. 

TechCrunch spoke at length with Drandakis. Look out for a deeper dive soon.

Until next week, nos vemos.


Read Full Article

Waymo CTO on the company’s past, present and what comes next


A decade ago, about a dozen or so engineers gathered at Google’s main Mountain View campus on Charleston Road to work on Project Chauffeur, a secret endeavor housed under the tech giant’s moonshot factory X.

Project Chauffeur — popularly know as the “Google self-driving car project” — kicked off in January 2009. It would eventually graduate from its project status to become a standalone company called Waymo in 2016.

The project, originally led by Sebastian Thrun, would help spark an entire ecosystem that is still developing today. Venture capitalists took notice and stampeded in, auto analysts shifted gears, regulators, urban planners and policy wonks started collecting data and considering the impact of AVs on cities.

The project would also become a springboard for a number of engineers who would go on to create their own companies. It’s a list that includes Aurora  co-founder Chris Urmson,  Argo AI co-founder Bryan Salesky as well as Anthony Levandowski, who helped launch Otto and more recently Pronto.ai.

What might be less known is that many who joined in those first weeks are still at Waymo, including Andrew Chatham, Dmitri Dolgov, Dirk Haehnel, Nathaniel Fairfield and Mike Montemerlo. Depending on how one defines “early days,” there are others like Hy Murveit, Phil Nemec, and Dan Egnor, who have been there for eight or nine years.

Dolgov, Waymo’s CTO and VP of engineering, chatted recently with TechCrunch about the early days, its 10-year anniversary, and what’s next.

Below is an excerpt of an interview with Dolgov, which has been edited for clarity and length.

TC: Let’s go back to the beginning of how you got started. Take me to those first days at the Google self-driving project.

DOLGOV: When I think about what drew me to this field, it’s always been three main things: the impact of the technology, the technology itself, and the challenges as well as the people you get to work with. It’s pretty obvious, at this point, that it can have huge implications on safety, but beyond that, it can impact efficiency and remove friction from transportation for people and things.

There is this sense of excitement that never seems to die off. I remember the first time I got to work on a self-driving car. And it was the first time when the car drove itself using software that I had written, you know, just earlier in the day. So this was back in 2007. And that completely blew my mind. (Dolgov participated in the DARPA Urban Challenge in November 2007 before the Google project launched)

TC: What were these 10, 100-mile challenges that (Google co-founder) Larry Page came up with? Can you describe that to me a little bit?

DOLGOV: This was probably the main milestone that we created for ourselves when we started this project at Google in 2009. And the challenge was to drive 10 routes, each one was 100 miles long. And you had to drive each one from beginning to end without any human intervention.

These were really well defined very clearly, crisply defined routes. So in the beginning, you’d engage the self driving mode of a car, and then had to finish the whole 100 miles on its own.

The routes were intentionally chosen to sample the full complexity of the task. In those early days, for us, it was all about understanding the complexity of the problem. All of the routes were in the Bay Area. We had some driving in urban environments, around Palo Alto,  we had one that spent a lot of time on the freeways and went to all of the bridges in the Bay Area. We had one that went from Mountain View to San Francisco, including driving through Lombard Street. We had one that went around Lake Tahoe.

We tried to cover as much of the complexity of the environment as possible. And what’s really great about that task is that it really helped us very quickly understand the core complexity of the space.

TC: How long did it take to complete these challenges?

DMITRI: It took us until the fall of 2010.

TC: It’s kind of amazing to think that the project was able to complete these challenges in 2010, and yet, there still seems to be so much more work to complete on this task.

DOLGOV: Right. But I think this is the nature of the problem. There is a huge difference between having a prototype that can do something once or twice or a handful of times versus building a product that people can start using in their daily lives. And it is, especially in this field, when we started, it’s very easy to make progress on these kinds of one-off challenges.

But what really makes it hard is an incredible level of performance that you need from your system in order to make it into a product. And that’s number one. And number two, is the very long tail of complexity of the types of problems that you encounter. Maybe you don’t see them 99% of the time, but you still have to be ready for that 1% or 1.1%.

TC:  When you think back to those early days — or maybe even more recently — was there ever a moment when where there was a software problem, or even a hardware problem that seemed insurmountable and that maybe the tech just wasn’t quite there yet?

DOLGOV: In the early days, we had all kinds of problems that we faced. In the early history of this project, we only set out to solve some problems without really knowing how we were going to get there.

You start working on the problem, and you make progress towards this. Thinking back to how these past few years have felt to me: It’s been much less of a here’s one problem, or a small number of really hard problems and we kind of hit a wall.

Instead, it’s been more like hundreds of really hard problems. None of them feel like a brick wall because, you know, the team is amazing, the technology is really powerful, and you make progress on them.

But you’re always juggling like, hundreds of these types of really complex problems, where the further you get into solving each one of them, the more you realize just how hard it really is.

So it’s been a really interesting mix: on one hand, the problem getting more difficult, the more you learn about it. But on the other hand, technology making more rapid progress and breakthroughs happening at a higher rate than you would have originally anticipated.

TC: When did you realize that this project had changed (beyond the official announcements)? When did you realize it could be a business, that it was something that could be a lot more than just solving this problem?

DOLGOV: I would describe it as more of an evolution of our thinking and investing more effort into more clearly defining the product and commercial applications of this technology.

When we started, in that very first phase, the question was, “is this even feasible? Is technology going to work?” I think it was pretty clear to everybody that if the technology succeeded then there was going to be tremendous impact.

It wasn’t exactly clear what commercial application or what product would deliver that impact. But there was just so many ways that this technology would transform the world that we didn’t spend much time worrying about that aspect of it.

When you think about it, what we’re building here is a driver: our software, our hardware —the software that runs in the car, the software that runs in the cloud. We look at the entirety of our technology stack as a driver.

There are about 3 trillion miles in the U.S. that are driven by people. In some cases, they drive themselves, in some cases, they drive other people, in some cases, they drive goods. Once you have the technology that is “the driver,” you can deploy it in all these situations. But they have their pros and cons.

Over time, our thinking on ‘what are the most attractive ones?’ and ‘in what order do we tackle them?’ has matured.

This is what they’re doing today as a result of all of that work. Ride hailing is the first commercial application that we’re pursuing. Beyond that we are working on long-haul trucking, long range deliveries. We’re interested, at some point, deploying the technology in personally owned cars, local deliveries, public transportation, so forth and so on.

TC: What application are you most excited about? The one that you think maybe is overlooked or one you’re personally the most excited about?

DOLGOV: I’m super excited about seeing the technology and the driver being deployed in, you know, across the globe and across different commercial applications. But I think the one that I am the most excited about is the one we’re pursuing as our number one target right now, which is ride hailing.

I think it has the potential to affect positively the highest number of people in the shortest amount of time.

I also use our cars every day to get around, this is how I got to work today. This is how I run errands around here in Mountain View and Palo Alto. It’s wonderful to be able to experience these cars and it just removes a lot of the friction out of transportation.

TC: So you you take a self driving car to work every day right now?

DOLGOV: Yes, but in California, they still have people in them. 

TC: How long have you been doing that?

DOLGOV: Awhile. Actually, it seems like forever.

I’ve always spent time in the cars. I think it’s really important to experience the product that you’re building and have direct experience with the technology. This was obviously the case in the early days of the project when there was a small group of us doing everything.

As the team grew, I would still make sure I would experience the technology and go on test rides at least weekly, if not more frequently.

When we started pursuing the ride-hailing application, and we build an app for it, and we built out infrastructure to make it into a user-facing product, I was one of the earlier testers.

That must have been three years ago.

TC: Did you expect it to be at this point that you are right now, 10 years ago, did you expect like 10 years from now, this is where we’re going to be? Or did it happen faster or slower than you anticipated?

DOLGOV: So for me, I think on one hand, I would not have predicted some of the breakthroughs in the technology on the hardware front, on the software and AI and machine learning back in 2009. I think the technology today is much more powerful than I would have probably said in 2009.

On the another hand, the challenge of actually building a real product and deploying it so that people can use it has turned out to be more difficult than I expected. So it’s kind of a mix.

TC: What were some of those technological breakthroughs?

DOLGOV: There were a number of things. LiDARs and radars became much more powerful.

And by powerful, I mean longer range, higher resolution and more features, if you will, in terms of the things that they can measure — richer returns of the properties of the environment. So that’s on the sensing side.

Compute, especially in the hardware-accelerated parallel computation, that’s been very powerful for the advancement of neural networks. That has been a huge boost.

Then there’s deep learning and the neural nets themselves have led to a number of breakthroughs.

TC: Yeah, with the last two examples you gave, I think of those as being breakthroughs more recently, in just the last few years. Is that about the timeframe?

DOLGOV: We’ve always used machine learning on this project, but it was a different kind of machine learning then today.

I think in 2012 is probably when, on our project, there was meaningful effort and when we were working together with Google on both the self-driving technology and deep learning.

Arguably, at the time Google was the only company in the world seriously investing in both the self driving and deep learning.

At that point, we didn’t have the hardware to be able to run those nets on the car, in real time. But there were very interesting things you could do in the cloud.

For deep learning, 2013 was a pretty big year. I think this is when ImageNet won a big competition and it was a breakthrough for deep learning. It outperformed all the other approaches in the computer vision competition.

TC: In 2009, could you imagine a world in 2019, where numerous self-driving vehicle companies would be testing on roads in California? Was that something that seemed plausible?

DOLGOV: No, no that’s not the picture I had in mind in 2009 or 2010.

In those early days of the project, people kind of laughed at us. I think the industry made fun of this project and there were multiple funny spoofs on the Google self-driving car project.

It’s been pretty amazing to go from, ‘oh there is small, group of crazy folks trying to do this science fiction thing at Google’ to this becoming a major industry that we have today with dozens, if not hundreds, of companies pursuing this.

Google’s self-driving Lexus RX 450h

TC: What will be the tipping point that will get folks on board with self driving vehicles in their city? Is it a matter of just pure saturation? Or is it something else that that all the companies, Waymo included, are responsible of helping usher in?

DOLGOV: It seems like there’s always a spectrum of people’s attitudes towards new technology and change. Some of the negative ones are more visible. But actually, my experience over the last 10 years, the positive attitude and the excitement has been overwhelmingly stronger.

What I what I have seen over and over again, in this project that really is very powerful, and that is powerful and changes people’s attitudes from, uncertainty and anxiety to excitement and comfort and trust is being able to experience the technology.

You get people into one of our cars and then go for a ride. Even people who are anxious about getting into a car with nobody behind the wheel, once they experience it and once they understand how useful of a product it is, and how well the car behaves, and they starting trusting it, that really leads to change.

As the technology rolls out and more people get to experience it firsthand, that will help.

TC: Are the biggest challenges in 2009 the same as today? What are the final cruxes that remain?

DOLGOV: In 2009, all the challenges were all about one-off problems we needed to solve and today it’s all about turning it into a product.

It’s about the presentation of this self-driving stack and about building the tools and the framework for evaluation and deployment of the technology. You know, what has stayed true is that it’s all about the speed of iteration and the ability to learn new things and solve new technical problems as we discover them.


Read Full Article