Monday

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Alphabet’s Q1 earnings were a disappointment for Wall Street, courtesy primarily of ad revenue shortcomings. The hardware team met with some difficulties, as well, owing in part to a stagnating global smartphone market that has impacted virtually all players.

CEO Sundar Pichai cited “year over year headwinds” when referring to the company’s smartphone line, following the release of the Pixel 3 and Pixel 3 XL last fall. The executive rightly referenced the company’s relatively recent entry as a standalone hardware developer and painted a hopeful picture of the industry’s innovations going forward.

“I do continue to be excited to see 5G coming and the early foldable phones, which Android plays a big part in driving,” Pichai said on the call. Google has notably taken an important role developing an Android UI designed for the foldable form factor, along with working closely beside Samsung on its recently delayed foldable.

CFO Ruth Porat echoed Pichai’s comments, while hinting at what’s to come from the company. “While the first quarter results reflect pressure in the premium smartphone industry,” the exec explained, “we are pleased with the ongoing momentum of Assistant-enabled Home devices, particularly the Home Hub and Mini devices and look forward to our May 7 announcement at I/O from our hardware team.”

The reference to “premium smartphone[s]” looks to be a roundabout confirmation of the rumored Pixel 3a. The mid-tier take on the Pixel line is rumored to be a rare I/O hardware debut, coming next month. The arrival of such a device could go a ways toward helping jumpstart slowing sales for the line.

Pichai referenced the company’s newly opened “campus and engineering hub.” A result of the company’s massive deal with struggling handset maker, HTC, the Taipei R&D center will be primarily focused on Google’s smartphone offerings. He also referenced the company’s Amazon-competing Home line as a bright spot for its hardware offerings, particularly the Mini and Hub.

“If you take products like Google Home and Assistant products, we’ve been doing really well,” said Pichai. “We see strong momentum. We’re market leaders in the category, especially when you look at it on a global basis.”

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A US veteran of the war in Afghanistan who prosecutors say plotted to detonate a bomb at a Los Angeles-area rally, causing mass casualties, has been taken into custody following an FBI online sting operation, federal prosecutors said on Monday.

Mark Steven Domingo, 26, a US Army infantryman who served time in Afghanistan and later converted to Islam, was taken into custody on Friday after being given what he thought was a live explosive device to use in the attack, federal prosecutors said in a written statement.

“This investigation successfully disrupted a very real threat posed by a trained combat soldier who repeatedly stated he wanted to cause the maximum number of casualties,” US Attorney Nick Hanna said in the statement.

According to prosecutors, Domingo was arrested while finalising plans to plant a bomb at a white supremacist rally scheduled for Sunday in Long Beach. Court papers show that Domingo also discussed with an informant different types of attacks that included targeting Jews, churches and police officers.

Domingo allegedly said he wanted revenge for the attacks on two mosques in New Zealand that killed 50 people last month.

Faces 15 years in prison if convicted

Domingo was charged in a federal criminal complaint with providing and attempting to provide material support to terrorists and was scheduled to make an initial appearance in US District Court in Los Angeles later on Monday. It was not immediately clear if he had retained an attorney.

Prosecutors say that in online conversations with an undercover FBI source, Domingo expressed willingness to become a martyr.

In an FBI affidavit filed in the case, Domingo said he specifically purchased three-inch nails because they would be long enough to penetrate the human body and puncture internal organs.

He could face a maximum sentence of 15 years in federal prison if convicted of all of the charges.

The announcement comes two days after a gunman opened fire in a San Diego-area synagogue, killing one person and wounding three others in what officials have described as a “hate crime”. A suspect identified as John Earnest, 19, was taken into custody in the shooting.

There was no indication that the two incidents were connected.

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Anki, a robotics company known for its Vector and Cozmo home robots along with AI-based Anki Drive cars, is shutting down, reports Recode.

Anki CEO Boris Sofman today told all Anki staff that they would be terminated on Wednesday and would be given a week of severance pay. Anki has nearly 200 employees.


Just days ago, employees were told that Anki was aiming to find additional funding after a round of financing fell through. To date, Anki had raised more than $200 million in venture capital from investors like Index Ventures and Andreessen Horowitz.

Anki in 2018 said that it had earned $100 million in revenue in 2017 and expected to exceed that number in 2018, but that wasn’t enough to keep the company afloat.

In a statement to Recode, Anki said that it did not have the funding to support its business and reach its long-term product roadmap.

“Despite our past successes, we pursued every financial avenue to fund our future product development and expand on our platforms,” a company spokesperson said. “A significant financial deal at a late stage fell through with a strategic investor and we were not able to reach an agreement. We’re doing our best to take care of every single employee and their families, and our management team continues to explore all options available.”

Anki was founded by roboticists from Carnegie Mellon University and in 2013, launched its first product, Anki Drive, AI-based cars that drove themselves with customer input. After that, Anki came out with Cozmo, a robot aimed at kids, and then Vector, a more advanced robot that sold for $250.

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Last night’s episode of “Game of Thrones” was a wild ride and inarguably one of an epic show’s more epic moments — if you could see it through the dark and the blotchy video. It turns out even one of the most expensive and meticulously produced shows in history can fall prey to the scourge of low quality streaming and bad TV settings.

The good news is this episode is going to look amazing on Blu-ray or potentially in future, better streams and downloads. The bad news is that millions of people already had to see it in a way its creators surely lament. You deserve to know why this was the case. I’ll be simplifying a bit here because this topic is immensely complex, but here’s what you should know.

(By the way, I can’t entirely avoid spoilers, but I’ll try to stay away from anything significant in words or images.)

It was clear from the opening shots in last night’s episode, “The Longest Night,” that this was going to be a dark one. The army of the dead faces off against the allied living forces in the darkness, made darker by a bespoke storm brought in by, shall we say, a Mr. N.K., to further demoralize the good guys.

If you squint you can just make out the largest army ever assembled

Thematically and cinematographically, setting this chaotic, sprawling battle at night is a powerful creative choice and a valid one, and I don’t question the showrunners, director, and so on for it. But technically speaking, setting this battle at night, and in fog, is just about the absolute worst case scenario for the medium this show is native to: streaming home video. Here’s why.

Compression factor

Video has to be compressed in order to be sent efficiently over the internet, and although we’ve made enormous strides in video compression and the bandwidth available to most homes, there are still fundamental limits.

The master video that HBO put together from the actual footage, FX, and color work that goes into making a piece of modern media would be huge: hundreds of gigabytes if not terabytes. That’s because the master has to include all the information on every pixel in every frame, no exceptions.

Imagine if you tried to “stream” a terabyte-sized video file. You’d have to be able to download 200 megabytes per second for the full 80 minutes of this episode. Few people in the world have that kind of connection — it would basically never stop buffering. Even 20 megabytes per second is asking too much by a long shot. 2 is doable — slightly under the 25 megabit speed (that’s bits… divide by 8 to get bytes) we use to define broadband download speeds.

So how do you turn a large file into a small one? Compression — we’ve been doing it for a long time, and video, though different from other types of data in some ways, is still just a bunch of zeroes and ones. In fact it’s especially susceptible to strong compression because of how one video frame is usually very similar to the last and the next one. There are all kinds of shortcuts you can take that reduce the file size immensely without noticeably impacting the quality of the video. These compression and decompression techniques fit into a system called a “codec.”

But there are exceptions to that, and one of them has to do with how compression handles color and brightness. Basically, when the image is very dark, it can’t display color very well.

The color of winter

Think about it like this: There are only so many ways to describe colors in a few words. If you have one word you can say red, or maybe ochre or vermilion depending on your interlocutor’s vocabulary. But if you have two words you can say dark red, darker red, reddish black, and so on. The codec has a limited vocabulary as well, though its “words” are the numbers of bits it can use to describe a pixel.

This lets it succinctly describe a huge array of colors with very little data by saying, this pixel has this bit value of color, this much brightness, and so on. (I didn’t originally want to get into this, but this is what people are talking about when they say bit depth, or even “highest quality pixels.)

But this also means that there are only so many gradations of color and brightness it can show. Going from a very dark grey to a slightly lighter grey, it might be able to pick 5 intermediate shades. That’s perfectly fine if it’s just on the hem of a dress in the corner of the image. But what if the whole image is limited to that small selection of shades?

Then you get what we see last night. See how Jon (I think) is made up almost entirely of only a handful of different colors (brightnesses of a similar color, really) in with big obvious borders between them?

This issue is called “banding,” and it’s hard not to notice once you see how it works. Images on video can be incredibly detailed, but places where there are subtle changes in color — often a clear sky or some other large but mild gradient — will exhibit large stripes as the codec goes from “darkest dark blue” to “darker dark blue” to “dark blue,” with no “darker darker dark blue” in between.

Check out this image.

Above is a smooth gradient encoded with high color depth. Below that is the same gradient encoded with lossy JPEG encoding — different from what HBO used, obviously, but you get the idea.

Banding has plagued streaming video forever, and it’s hard to avoid even in major productions — it’s just a side effect of representing color digitally. It’s especially distracting because obviously our eyes don’t have that limitation. A high-definition screen may actually show more detail than your eyes can discern from couch distance, but color issues? Our visual systems flag them like crazy. You can minimize it, but it’s always going to be there, until the point when we have as many shades of grey as we have pixels on the screen.

So back to last night’s episode. Practically the entire show took place at night, which removes about 3/4 of the codec’s brightness-color combos right there. It also wasn’t a particularly colorful episode, a directorial or photographic choice that highlighted things like flames and blood, but further limited the ability to digitally represent what was on screen.

It wouldn’t be too bad if the background was black and people were lit well so they popped out, though. The last straw was the introduction of the cloud, fog, or blizzard, whatever you want to call it. This kept the brightness of the background just high enough that the codec had to represent it with one of its handful of dark greys, and the subtle movements of fog and smoke came out as blotchy messes (often called “compression artifacts” as well) as the compression desperately tried to pick what shade was best for a group of pixels.

Just brightening it doesn’t fix things, either — because the detail is already crushed into a narrow range of values, you just get a bandy image that never gets completely black, making it look washed out, as you see here:

(Anyway, the darkness is a stylistic choice. You may not agree with it, but that’s how it’s supposed to look and messing with it beyond making the darkest details visible could be counterproductive.)

Now, it should be said that compression doesn’t have to be this bad. For one thing, the more data it is allowed to use, the more gradations it can describe, and the less severe the banding. It’s also possible (though I’m not sure where it’s actually done) to repurpose the rest of the codec’s “vocabulary” to describe a scene where its other color options are limited. That way the full bandwidth can be used to describe a nearly monochromatic scene even though strictly speaking it should be only using a fraction of it.

But neither of these are likely an option for HBO: Increasing the bandwidth of the stream is costly, since this is being sent out to tens of millions of people — a bitrate increase big enough to change the quality would also massively swell their data costs. When you’re distributing to that many people, that also introduces the risk of hated buffering or errors in playback, which are obviously a big no-no. It’s even possible that HBO lowered the bitrate because of network limitations — “Game of Thrones” really is on the frontier of digital distribution.

And using an exotic codec might not be possible because only commonly used commercial ones are really capable of being applied at scale. Kind of like how we try to use standard parts for cars and computers.

This episode almost certainly looked fantastic in the mastering room and FX studios, where they not only had carefully calibrated monitors with which to view it but also were working with brighter footage (it would be darkened to taste by the colorist) and less or no compression. They might not even have seen the “final” version that fans “enjoyed.”

We’ll see the better copy eventually, but in the meantime the choice of darkness, fog, and furious action meant the episode was going to be a muddy, glitchy mess on home TVs.

And while we’re on the topic…

You mean it’s not my TV?

Couple watching TV on their couch.Well… to be honest, it might be that too. What I can tell you is that simply having a “better” TV by specs, such as 4K or a higher refresh rate or whatever, would make almost no difference in this case. Even built-in de-noising and de-banding algorithms would be hard pressed to make sense of “The Long Night.” And one of the best new display technologies, OLED, might even make it look worse! Its “true blacks” are much darker than an LCD’s backlit blacks, so the jump to the darkest grey could be way more jarring.

That said, it’s certainly possible that your TV is also set up poorly. Those of us sensitive to this kind of thing spend forever fiddling with settings and getting everything just right for exactly this kind of situation.

Usually “calibration” is actually a pretty simple process of making sure your TV isn’t on the absolute worst settings, which unfortunately many are out of the box. Here’s a very basic three-point guide to “calibrating” your TV:

  1. Go through the “picture” or “video” menu and turn off anything with a special name, like “TrueMotion,” “Dynamic motion,” “Cinema mode,” or anything like that. Most of these make things look worse, especially anything that “smooths” motion. Turn those off first and never ever turn them on again. Don’t mess with brightness, gamma, color space, anything you have to turn up or down from 50 or whatever.
  2. Figure out lighting by putting on a good, well-shot movie in the situation you usually watch stuff — at night maybe, with the hall light on or whatever. While the movie is playing, click through any color presets your TV has. These are often things like “natural,” “game,” “cinema,” “calibrated,” and so on and take effect right away. Some may make the image look too green, or too dark, or whatever. Play around with it and whichever makes it look best, use that one. You can always switch later – I myself switch between a lighter and darker scheme depending on time of day and content.
  3. Don’t worry about HDR, dynamic lighting, and all that stuff for now. There’s a lot of hype about these technologies and they are still in their infancy. Few will work out of the box and the gains may or may not be worth it. The truth is a well shot movie from the ’60s or ’70s can look just as good today as a “high dynamic range” show shot on the latest 8K digital cinema rig. Just focus on making sure the image isn’t being actively interfered with by your TV and you’ll be fine.

Unfortunately none of these things will make “The Long Night” look any better until HBO releases a new version of it. Those ugly bands and artifacts are baked right in. But if you have to blame anyone, blame the streaming infrastructure that wasn’t prepared for a show taking risks in its presentation, risks I would characterize as bold and well executed, unlike the writing in the show lately. Oops, sorry, couldn’t help myself.

If you really want to experience this show the way it was intended, the fanciest TV in the world wouldn’t have helped last night, though when the Blu-ray comes out you’ll be in for a treat. But here’s hoping the next big battle takes place in broad daylight.

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