Deckard’s Photo Inspector

Back to Blade Runner. I mean, the pandemic is still pandemicking, but maybe this will be a nice distraction while you shelter in place. Because you’re smart, sheltering in place as much as you can, and not injecting disinfectants. And, like so many other technologies in this film, this will take a while to deconstruct, critique, and reimagine.

Description

Doing his detective work, Deckard retrieves a set of snapshots from Leon’s hotel room, and he brings them home with with. Something in the one pictured above catches his eye, and he wants to investigate it in greater detail. He takes the photograph and inserts it in a black device he keeps in his living room.

Note: I’ll try and describe this interaction in text, but it is much easier to conceptualize after viewing it. Owing to copyright restrictions, I cannot upload this length of video with the original audio, so I have added pre-rendered closed captions to it, below. All dialogue in the clip is Deckard.

Deckard does digital forensics, looking for a lead.

He inserts the snapshot into a horizontal slit and turns the machine on. A thin, horizontal orange line glows on the left side of the front panel. A series of seemingly random-length orange lines begin to chase one another in a single-row space that stretches across the remainder of the panel and continue to do so throughout Deckard’s use of it. (Imagine a news ticker, running backwards, where the “headlines” are glowing amber lines.) This seems useless and an absolutely pointless distraction for Deckard, putting high-contrast motion in his peripheral vision, which fights for attention with the actual, interesting content down below.

If this is distracting you from reading, YOU SEE MY POINT.

After a second, the screen reveals a blue grid, behind which the scan of the snapshot appears. He stares at the image in the grid for a moment, and speaks a set of instructions, “Enhance 224 to 176.”

In response, three data points appear overlaying the image at the bottom of the screen. Each has a two-letter label and a four-digit number, e.g. “ZM 0000 NS 0000 EW 0000.” The NS and EW—presumably North-South and East-West coordinates, respectively—immediately update to read, “ZM 0000 NS 0197 EW 0334.” After updating the numbers, the screen displays a crosshairs, which target a single rectangle in the grid.

A new rectangle then zooms in from the edges to match the targeted rectangle, as the ZM number—presumably zoom, or magnification—increases. When the animated rectangle reaches the targeted rectangle, its outline blinks yellow a few times. Then the contents of the rectangle are enlarged to fill the screen, in a series of steps which are punctuated with sounds similar to a mechanical camera aperture. The enlargement is perfectly resolved. The overlay disappears until the next set of spoken commands. The system response between Deckard’s issuing the command and the device’s showing the final enlarged image is about 11 seconds.

Deckard studies the new image for awhile before issuing another command. This time he says, “Enhance.” The image enlarges in similar clacking steps until he tells it, “Stop.”

Other instructions he is heard to give include “move in, pull out, track right, center in, pull back, center, and pan right.” Some include discrete instructions, such as, “Track 45 right” while others are relative commands that the system obeys until told to stop, such as “Go right.”

Using such commands he isolates part of the image that reveals an important clue, and he speaks the instruction, “Give me a hard copy right there.” The machine prints the image, which Deckard uses to help find the replicant pictured.

This image helps lead him to Zhora.

I’d like to point out one bit of sophistication before the critique. Deckard can issue a command with or without a parameter, and the inspector knows what to do. For example, “Track 45 right” and “Track right.” Without the parameter, it will just do the thing repeatedly until told to stop. That helps Deckard issue the same basic command when he knows exactly where he wants to look and when doesn’t know what exactly what he’s looking for. That’s a nice feature of the language design.

But still, asking him to provide step-by-step instructions in this clunky way feels like some high-tech Big Trak. (I tried to find a reference that was as old as the film.) And that’s not all…

Some critiques, as it is

  • Can I go back and mention that amber distracto-light? Because it’s distracting. And pointless. I’m not mad. I’m just disappointed.
  • It sure would be nice if any of the numbers on screen made sense, and had any bearing with the numbers Deckard speaks, at any time during the interaction. For instance, the initial zoom (I checked in Photoshop) is around 304%, which is neither the 224 or 176 that Deckard speaks.
  • It might be that each square has a number, and he simply has to name the two squares at the extents of the zoom he wants, letting the machine find the extents, but where is the labeling? Did he have to memorize an address for each pixel? How does that work at arbitrary levels of zoom?
  • And if he’s memorized it, why show the overlay at all?
  • Why the seizure-inducing flashing in the transition sequences? Sure, I get that lots of technologies have unfortunate effects when constrained by mechanics, but this is digital.
  • Why is the printed picture so unlike the still image where he asks for a hard copy?
  • Gaze at the reflection in Ford’s hazel, hazel eyes, and it’s clear he’s playing Missile Command, rather than paying attention to this interface at all. (OK, that’s the filmmaker’s issue, not a part of the interface, but still, come on.)
The photo inspector: My interface is up HERE, Rick.

How might it be improved for 1982?

So if 1982 Ridley Scott was telling me in post that we couldn’t reshoot Harrison Ford, and we had to make it just work with what we had, here’s what I’d do…

Squash the grid so the cells match the 4:3 ratio of the NTSC screen. Overlay the address of each cell, while highlighting column and row identifiers at the edges. Have the first cell’s outline illuminate as he speaks it, and have the outline expand to encompass the second named cell. Then zoom, removing the cell labels during the transition. When at anything other than full view, display a map across four cells that shows the zoom visually in the context of the whole.

Rendered in glorious 4:3 NTSC dimensions.

With this interface, the structure of the existing conversation makes more sense. When Deckard said, “Enhance 203 to 608” the thing would zoom in on the mirror, and the small map would confirm.

The numbers wouldn’t match up, but it’s pretty obvious from the final cut that Scott didn’t care about that (or, more charitably, ran out of time). Anyway I would be doing this under protest, because I would argue this interaction needs to be fixed in the script.

How might it be improved for 2020?

What’s really nifty about this technology is that it’s not just a photograph. Look close in the scene, and Deckard isn’t just doing CSI Enhance! commands (or, to be less mocking, AI upscaling). He’s using the photo inspector to look around corners and at objects that are reconstructed from the smallest reflections. So we can think of the interaction like he’s controlling a drone through a 3D still life, looking for a lead to help him further the case.

With that in mind, let’s talk about the display.

Display

To redesign it, we have to decide at a foundational level how we think this works, because it will color what the display looks like. Is this all data that’s captured from some crazy 3D camera and available in the image? Or is it being inferred from details in the 2 dimensional image? Let’s call the first the 3D capture, and the second the 3D inference.

If we decide this is a 3-D capture, then all the data that he observes through the machine has the same degree of confidence. If, however, we decide this is a 3D inferrer, Deckard needs to treat the inferred data with more skepticism than the data the camera directly captured. The 3-D inferrer is the harder problem, and raises some issues that we must deal with in modern AI, so let’s just say that’s the way this speculative technology works.

The first thing the display should do it make it clear what is observed and what is inferred. How you do this is partly a matter of visual design and style, but partly a matter of diegetic logic. The first pass would be to render everything in the camera frustum photo-realistically, and then render everything outside of that in a way that signals its confidence level. The comp below illustrates one way this might be done.

Modification of a pair of images found on Evermotion
  • In the comp, Deckard has turned the “drone” from the “actual photo,” seen off to the right, toward the inferred space on the left. The monochrome color treatment provides that first high-confidence signal.
  • In the scene, the primary inference would come from reading the reflections in the disco ball overhead lamp, maybe augmented with plans for the apartment that could be found online, or maybe purchase receipts for appliances, etc. Everything it can reconstruct from the reflection and high-confidence sources has solid black lines, a second-level signal.
  • The smaller knickknacks that are out of the reflection of the disco ball, and implied from other, less reflective surfaces, are rendered without the black lines and blurred. This provides a signal that the algorithm has a very low confidence in its inference.

This is just one (not very visually interesting) way to handle it, but should illustrate that, to be believable, the photo inspector shouldn’t have a single rendering style outside the frustum. It would need something akin to these levels to help Deckard instantly recognize how much he should trust what he’s seeing.

Flat screen or volumetric projection?

Modern CGI loves big volumetric projections. (e.g. it was the central novum of last year’s Fritz winner, Spider-Man: Far From Home.) And it would be a wonderful juxtaposition to see Deckard in a holodeck-like recreation of Leon’s apartment, with all the visual treatments described above.

But…

Also seriously who wants a lamp embedded in a headrest?

…that would kind of spoil the mood of the scene. This isn’t just about Deckard’s finding a clue, we also see a little about who he is and what his life is like. We see the smoky apartment. We see the drab couch. We see the stack of old detective machines. We see the neon lights and annoying advertising lights swinging back and forth across his windows. Immersing him in a big volumetric projection would lose all this atmospheric stuff, and so I’d recommend keeping it either a small contained VP, like we saw in Minority Report, or just keep it a small flat screen.


OK, so we have an idea about how the display would (and shouldn’t) look, let’s move on to talk about the inputs.

Inputs

To talk about inputs, then, we have to return to a favorite topic of mine, and that is the level of agency we want for the interaction. In short, we need to decide how much work the machine is doing. Is the machine just a manual tool that Deckard has to manipulate to get it to do anything? Or does it actively assist him? Or, lastly, can it even do the job while his attention is on something else—that is, can it act as an agent on his behalf? Sophisticated tools can be a blend of these modes, but for now, let’s look at them individually.

Manual Tool

This is how the photo inspector works in Blade Runner. It can do things, but Deckard has to tell it exactly what to do. But we can still improve it in this mode.

We could give him well-mapped physical controls, like a remote control for this conceptual drone. Flight controls wind up being a recurring topic on this blog (and even came up already in the Blade Runner reviews with the Spinners) so I could go on about how best to do that, but I think that a handheld controller would ruin the feel of this scene, like Deckard was sitting down to play a video game rather than do off-hours detective work.

Special edition made possible by our sponsor, Tom Nook.
(I hope we can pay this loan back.)

Similarly, we could talk about a gestural interface, using some of the synecdochic techniques we’ve seen before in Ghost in the Shell. But again, this would spoil the feel of the scene, having him look more like John Anderton in front of a tiny-TV version of Minority Report’s famous crime scrubber.

One of the things that gives this scene its emotional texture is that Deckard is drinking a glass of whiskey while doing his detective homework. It shows how low he feels. Throwing one back is clearly part of his evening routine, so much a habit that he does it despite being preoccupied about Leon’s case. How can we keep him on the couch, with his hand on the lead crystal whiskey glass, and still investigating the photo? Can he use it to investigate the photo?

Here I recommend a bit of ad-hoc tangible user interface. I first backworlded this for The Star Wars Holiday Special, but I think it could work here, too. Imagine that the photo inspector has a high-resolution camera on it, and the interface allows Deckard to declare any object that he wants as a control object. After the declaration, the camera tracks the object against a surface, using the changes to that object to control the virtual camera.

In the scene, Deckard can declare the whiskey glass as his control object, and the arm of his couch as the control surface. Of course the virtual space he’s in is bigger than the couch arm, but it could work like a mouse and a mousepad. He can just pick it up and set it back down again to extend motion.

This scheme takes into account all movement except vertical lift and drop. This could be a gesture or a spoken command (see below).

Going with this interaction model means Deckard can use the whiskey glass, allowing the scene to keep its texture and feel. He can still drink and get his detective on.

Tipping the virtual drone to the right.

Assistant Tool

Indirect manipulation is helpful for when Deckard doesn’t know what he’s looking for. He can look around, and get close to things to inspect them. But when he knows what he’s looking for, he shouldn’t have to go find it. He should be able to just ask for it, and have the photo inspector show it to him. This requires that we presume some AI. And even though Blade Runner clearly includes General AI, let’s presume that that kind of AI has to be housed in a human-like replicant, and can’t be squeezed into this device. Instead, let’s just extend the capabilities of Narrow AI.

Some of this will be navigational and specific, “Zoom to that mirror in the background,” for instance, or, “Reset the orientation.” Some will more abstract and content-specific, e.g. “Head to the kitchen” or “Get close to that red thing.” If it had gaze detection, he could even indicate a location by looking at it. “Get close to that red thing there,” for example, while looking at the red thing. Given the 3D inferrer nature of this speculative device, he might also want to trace the provenance of an inference, as in, “How do we know this chair is here?” This implies natural language generation as well as understanding.

There’s nothing from stopping him using the same general commands heard in the movie, but I doubt anyone would want to use those when they have commands like this and the object-on-hand controller available.

Ideally Deckard would have some general search capabilities as well, to ask questions and test ideas. “Where were these things purchased?” or subsequently, “Is there video footage from the stores where he purchased them?” or even, “What does that look like to you?” (The correct answer would be, “Well that looks like the mirror from the Arnolfini portrait, Ridley…I mean…Rick*”) It can do pattern recognition and provide as much extra information as it has access to, just like Google Lens or IBM Watson image recognition does.

*Left: The convex mirror in Leon’s 21st century apartment.
Right: The convex mirror in Arnolfini’s 15th century apartment

Finally, he should be able to ask after simple facts to see if the inspector knows or can find it. For example, “How many people are in the scene?”

All of this still requires that Deckard initiate the action, and we can augment it further with a little agentive thinking.

Agentive Tool

To think in terms of agents is to ask, “What can the system do for the user, but not requiring the user’s attention?” (I wrote a book about it if you want to know more.) Here, the AI should be working alongside Deckard. Not just building the inferences and cataloguing observations, but doing anomaly detection on the whole scene as it goes. Some of it is going to be pointless, like “Be aware the butter knife is from IKEA, while the rest of the flatware is Christofle Lagerfeld. Something’s not right, here.” But some of it Deckard will find useful. It would probably be up to Deckard to review summaries and decide which were worth further investigation.

It should also be able to help him with his goals. For example, the police had Zhora’s picture on file. (And her portrait even rotates in the dossier we see at the beginning, so it knows what she looks like in 3D for very sophisticated pattern matching.) The moment the agent—while it was reverse ray tracing the scene and reconstructing the inferred space—detects any faces, it should run the face through a most wanted list, and specifically Deckard’s case files. It shouldn’t wait for him to find it. That again poses some challenges to the script. How do we keep Deckard the hero when the tech can and should have found Zhora seconds after being shown the image? It’s a new challenge for writers, but it’s becoming increasingly important for believability.

Though I’ve never figured out why she has a snake tattoo here (and it seems really important to the plot) but then when Deckard finally meets her, it has disappeared.

Scene

Interior. Deckard’s apartment. Night.

Deckard grabs a bottle of whiskey, a glass, and the photo from Leon’s apartment. He sits on his couch, places the photo on the coffee table and says “Photo inspector?” The machine on top of a cluttered end table comes to life. Deckard continues, “Let’s look at this.” He points to the photo. A thin line of light sweeps across the image. The scanned image appears on the screen, pulled in a bit from the edges. A label reads, “Extending scene,” and we see wireframe representations of the apartment outside the frame begin to take shape. A small list of anomolies begins to appear to the left. Deckard pours a few fingers of whiskey into the glass. He takes a drink and says, “Controller,” before putting the glass on the arm of his couch. Small projected graphics appear on the arm facing the inspector. He says, “OK. Anyone hiding? Moving?” The inspector replies, “No and no.” Deckard looks at the screen he says, “Zoom to that arm and pin to the face.” He turns the glass on the couch arm counterclockwise, and the “drone” revolves around to show Leon’s face, with the shadowy parts rendered in blue. He asks, “What’s the confidence?” The inspector replies, “95.” On the side of the screen the inspector overlays Leon’s police profile. Deckard says, “unpin” and lifts his glass to take a drink. He moves from the couch to the floor to stare more intently and places his drink on the coffee table. “New surface,” he says, and turns the glass clockwise. The camera turns and he sees into a bedroom. “How do we have this much inference?” he asks. The inspector replies, “The convex mirror in the hall…” Deckard interrupts, saying, “Wait. Is that a foot? You said no one was hiding.” The inspector replies, “The individual is not hiding. They appear to be sleeping.” Deckard rolls his eyes. He says, “Zoom to the face and pin.” The view zooms to the face, but the camera is level with her chin, making it hard to make out the face. Deckard tips the glass forward and the camera rises up to focus on a blue, wireframed face. Deckard says, “That look like Zhora to you?” The inspector overlays her police file and replies, “63% of it does.” Deckard says, “Why didn’t you say so?” The inspector replies, “My threshold is set to 66%.” Deckard says, “Give me a hard copy right there.” He raises his glass and finishes his drink.


This scene keeps the texture and tone of the original, and camps on the limitations of Narrow AI to let Deckard be the hero. And doesn’t have him programming a virtual Big Trak.

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“Real-time,” Interplanetary Chat

While recording a podcast with the guys at DecipherSciFi about the twee(n) love story The Space Between Us, we spent some time kvetching about how silly it was that many of the scenes involved Gardner, on Mars, in a real-time text chat with a girl named Tulsa, on Earth. It’s partly bothersome because throughout the rest of the the movie, the story tries for a Mohs sci-fi hardness of, like, 1.5, somewhere between Real Life and Speculative Science, so it can’t really excuse itself through the Applied Phlebotinum that, say, Star Wars might use. The rest of the film feels like it’s trying to have believable science, but during these scenes it just whistles, looks the other way, and hopes you don’t notice that the two lovebirds are breaking the laws of physics as they swap flirt emoji.

Hopefully unnecessary science brief: Mars and Earth are far away from each other. Even if the communications transmissions are sent at light speed between them, it takes much longer than the 1 second of response time required to feel “instant.” How much longer? It depends. The planets orbit the sun at different speeds, so aren’t a constant distance apart. At their closest, it takes light 3 minutes to travel between Mars and Earth, and at their farthest—while not being blocked by the sun—it takes about 21 minutes. A round-trip is double that. So nothing akin to real-time chat is going to happen.

But I’m a designer, a sci-fi apologist, and a fairly talented backworlder. I want to make it work. And perhaps because of my recent dive into narrow AI, I began to realize that, well, in a way, maybe it could. It just requires rethinking what’s happening in the chat.

Let’s first acknowledge that we’ve solved long distance communications a long time ago. Gardner and Tulsa could just, you know, swap letters or, like the characters in 2001: A Space Odyssey, recorded video messages. There. Problem solved. It’s not real-time interaction, but it gets the job done. But kids aren’t so much into pen pals anymore, and we have to acknowledge that Gardner doesn’t want to tip his hand that he’s on Mars (it’s a grave NASA secret, for plot reasons). So the question is how could we make it work so it feels like a real time chat to her. Let’s first solve it for the case where he’s trying to disguise his location, and then how it might work when both participants are in the know.

Fooling Tulsa

Since 1984 (ping me, as always, if you can think of an earlier reference) sci-fi has had the notion of a digitally-replicated personality. Here I’m thinking of Gibson’s Neuromancer and the RAM boards on which Dixie Flatline “lives.” These RAM boards house an interactive digital personality of a person, built out of a lifetime of digital traces left behind: social media, emails, photos, video clips, connections, expressed interests, etc. Anyone in that story could hook the RAM board up to a computer, and have conversations with the personality housed there that would closely approximate how that person would (or would have) respond in real life.

SBU_Tulsa.png
Listen to the podcast for a mini-rant on translucent screens, followed by apologetics.

Is this likely to actually happen? Well it kind of already is. Here in the real world, we’re seeing early, crude “me bots” populate the net which are taking baby steps toward the same thing. (See MessinaBothttps://bottr.me/, https://sensay.it/, the forthcoming http://bot.me/) By the time we actually get a colony to Mars (plus the 16 years for Gardner to mature), mebot technology should should be able to stand in for him convincingly enough in basic online conversations.

Training the bot

So in the story, he would look through cached social media feeds to find a young lady he wanted to strike up a conversation with, and then ask his bot-maker engine to look at her public social media to build a herBot with whom he could chat, to train it for conversations. During this training, the TulsaBot would chat about topics of interest gathered from her social media. He could pause the conversation to look up references or prepare convincing answers to the trickier questions TulsaBot asks. He could also add some topics to the conversation they might have in common, and questions he might want to ask her. By doing this, his GardnerBot isn’t just some generic thing he sends out to troll any young woman with. It’s a more genuine, interactive first “letter” sent directly to her. He sends this GardnerBot to servers on Earth.

Hey-mars-chat.gif
A demonstration of a chat with a short Martian delay. (Yes, it’s an animated gif.)

Launching the bot

GardnerBot would wait until it saw Tulsa online and strike up the conversation with her. It would send a signal back to Gardner that the chat has begun so he can sit on his end and read a space-delayed transcript of the chat. GardnerBot would try its best to manage the chat based on what it knows about awkward teen conversation, Turing test best practices, what it knows about Gardner, and how it has been trained specifically for Tulsa. Gardner would assuage some of his guilt by having it dodge and carefully frame the truth, but not outright lie.

Buying time

If during the conversation she raised a topic or asked a question for which GardnerBot was not trained, it could promise an answer later, and then deflect, knowing that it should pad the conversation in the meantime:

  • Ask her to answer the same question first, probing into details to understand rationale and buy more time
  • Dive down into a related subtopic in which the bot has confidence, and which promises to answer the initial question
  • Deflect conversation to another topic in which it has a high degree of confidence and lots of detail to share
  • Text a story that Gardner likes to tell that is known to take about as long as the current round-trip signal

Example

  • TULSA
  • OK, here’s one: If you had to live anywhere on Earth where they don’t speak English, where would you live?

GardnerBot has a low confidence that it knows Gardner’s answer. It could respond…

  1. (you first) “Oh wow. That is a tough one. Can I have a couple of minutes to think about it? I promise I’ll answer, but you tell me yours first.”
  2. (related subtopic) “I’m thinking about this foreign movie that I saw one time. There were a lot of animals in it and a waterfall. Does that sound familiar?”
  3. (new topic) “What? How am I supposed to answer that one? 🙂 Umm…While I think about it, tell me…what kind of animal would you want to be reincarnated as. And you have to say why.”
  4. (story delay) “Ha. Sure, but can I tell a story first? When I was a little kid, I used to be obsessed with this music that I would hear drifting into my room from somewhere around my house…”

Lagged-realtime training

Each of those responses is a delay tactic that allows the chat transcript to travel to Mars for Gardner to do some bot training on the topic. He would be watching the time-delayed transcript of the chat, keeping an eye on an adjacent track of data containing the meta information about what the bot is doing, conversationally speaking. When he saw it hit low-confidence or high-stakes topic and deflect, it would provide a chat window for him to tell the GardnerBot what it should do or say.

  • To the stalling GARDNERBOT…
  • GARDNER
  • For now, I’m going to pick India, because it’s warm and I bet I would really like the spicy food and the rain. Whatever that colored powder festival is called. I’m also interested in their culture, Bollywood, and Hinduism.
  • As he types, the message travels back to Earth where GardnerBot begins to incorporate his answers to the chat…
SBU_Gardner.png
  • At a natural break in the conversation…
  • GARDNERBOT
  • OK. I think I finally have an answer to your earlier question. How about…India?
  • TULSA
  • India?
  • GARDNERBOT
  • Think about it! Running around in warm rain. Or trying some of the street food under an umbrella. Have you seen youTube videos from that festival with the colored powder everywhere? It looks so cool. Do you know what it’s called?

Note that the bot could easily look it up and replace “that festival with the colored powder everywhere” with “Holi Festival of Color” but it shouldn’t. Gardner doesn’t know that fact, so the bot shouldn’t pretend it knows it. A Cyrano-de-Bergerac software—where it makes him sound more eloquent, intelligent, or charming than he really is to woo her—would be a worse kind of deception. Gardner wants to hide where he is, not who he is.

That said, Gardner should be able to direct the bot, to change its tactics. “OMG. GardnerBot! You’re getting too personal! Back off!” It might not be enough to cover a flub made 42 minutes ago, but of course the bot should know how to apologize on Gardner’s behalf and ask conversational forgiveness.

Gotta go

If the signal to Mars got interrupted or the bot got into too much trouble with pressure to talk about low confidence or high stakes topics, it could use a believable, pre-rolled excuse to end the conversation.

  • GARDNERBOT
  • Oh crap. Will you be online later? I’ve got chores I have to do.

Then, Gardner could chat with TulsaBot on his end without time pressure to refine GardnerBot per their most recent topics, which would be sent back to Earth servers to be ready for the next chat.

In this way he could have “chats” with Tulsa that are run by a bot but quite custom to the two of them. It’s really Gardner’s questions, topics, jokes, and interest, but a bot-managed delivery of these things.

So it could work, does it fit the movie? I think so. It would be believable because he’s a nerd raised by scientists. He made his own robot, why not his own bot?

From the audience’s perspective, it might look like they’re chatting in real time, but subtle cues on Gardner’s interface reward the diligent with hints that he’s watching a time delay. Maybe the chat we see in the film is even just cleverly edited to remove the bots.

How he manages to hide this data stream from NASA to avoid detection is another question better handled by someone else.

SBU_whodis.png

An honest version: bot envoy

So that solves the logic from the movie’s perspective but of course it’s still squickish. He is ultimately deceiving her. Once he returns to Mars and she is back on Earth, could they still use the same system, but with full knowledge of its botness? Would real world astronauts use it?

Would it be too fake?

I don’t think it would be too fake. Sure, the bot is not the real person, but neither are the pictures, videos, and letters we fondly keep with us as we travel far from home. We know they’re just simulacra, souvenir likenesses of someone we love. We don’t throw these away in disgust for being fakes. They are precious because they are reminders of the real thing. So would the themBot.

  • GARDNER
  • Hey, TulsaBot. Remember when we were knee deep in the Pacific Ocean? I was thinking about that today.
  • TULSABOT
  • I do. It’s weird how it messes with your sense of balance, right? Did you end up dreaming about it later? I sometimes do after being in waves a long time.
  • GARDNER
  • I can’t remember, but someday I hope to come back to Earth and feel it again. OK. I have to go, but let me know how training is going. Have you been on the G machine yet?

Nicely, you wouldn’t need stall tactics in the honest version. Or maybe it uses them, but can be called out.

  • TULSA
  • GardnerBot, you don’t have to stall. Just tell Gardner to watch Mission to Mars and update you. Because it’s hilarious and we have to go check out the face when I’m there.

Sending your loved one the transcript will turn it into a kind of love letter. The transcript could even be appended with a letter that jokes about the bot. The example above was too short for any semi-realtime insertions in the text, but maybe that would encourage longer chats. Then the bot serves as charming filler, covering the delays between real contact.

Ultimately, yes, I think we can backworld what looks physics-breaking into something that makes sense, and might even be a new kind of interactive memento between interplanetary sweethearts, family, and friends.