conversations.from: human
conversations.value: What is a plot for a book about Driverless, film, May–December entitled Driverless?
conversations.from: assistant
conversations.value: Driverless (film): Driverless is about three love stories that are intertwined by a car accident.\nIt deals with several relationship issues: the seven year itch, reuniting with a first love, one night stands, May–December romances, and extramarital affairs.\nThe director hoped to present love stories set in our current "materialistic era", and force audiences to consider what the standard is to measure love.\nShould we be loyal to money, material things or our own hearts.
conversations.from: human
conversations.value: Swap the first and the last sentence.
conversations.from: assistant
conversations.value: \nShould we be loyal to money, material things or our own hearts.\nIt deals with several relationship issues: the seven year itch, reuniting with a first love, one night stands, May–December romances, and extramarital affairs.\nThe director hoped to present love stories set in our current "materialistic era", and force audiences to consider what the standard is to measure love.Driverless (film): Driverless is about three love stories that are intertwined by a car accident.
conversations.from: human
conversations.value: What is the first five paragraphs for this book?
conversations.from: assistant
conversations.value: Driverless
  If the car is reliant on external data, delays in data transmission—be they malicious or benign—could be a safety hazard. GPS spoofing could become a new form of criminal sabotage. HD digital maps could be another target. The data channels that provide map updates must be secure, and their data source authenticated and certified. A car's route-planning and traffic-prediction software stays informed by sending data on a car's destination to the broader traffic system, representing another potential target for a security breach.
  Data privacy and safety are one sort of ethical challenge raised by driverless cars that must be addressed. Another is how the car responds to an emergency. When faced with a hazardous situation, driverless cars use data and software—not human instinct—to calculate how best to respond. In order to design a car that reacts appropriately, a human programmer has to make difficult decisions about the value of human life and property by quantifying its value.
  When software drives the car, a human driver will no longer be in place to make the grisly calculation of "who to kill" at the time of a crash. Instead, the logic of the decision will be made in advance, by the human programming the car's software. -car software will be designed to calculate how to respond to an accident in such a way that yields an optimal outcome with minimal collateral damage. However, in order to create such software, we as a society must first define what constitutes "optimal," and in the process, consciously articulate how we value human life and property.
  The practice of assigning value to human life and property raises uncomfortable questions about what these values should be, and who gets to set them. Passengers inside the car will have an assigned value, as will pedestrians. Possible outcomes associated with car accidents—for example, property damage, or damage to the car—will also be quantified. If a driverless car is programmed with the generic goal of "reducing damage to property" in the case of an accident, it's not clear exactly how what that response should look like.
  The Trolley Problem, conceived by Philippa Foot in 1967, describes the ethical conundrum of "a driver of a runaway tram [who] can steer only from one narrow track onto another; five men are working on one track and one man on the other; anyone on the track he enters is bound to be killed." Most people will do the simple utilitarian calculation that five lives are worth more than one, and consider this a no-brainer. But the Trolley Problem case then continues to get more complicated with other morbid choices that lead, eventually, to paradoxical dilemmas.
conversations.from: human
conversations.value: What is five more paragraphs?
conversations.from: assistant
conversations.value: In an era of driverless vehicles, some automotive jobs will be quite specialized. A new high-paying specialty will emerge, that of software mechanic. Software mechanics will be automotive engineers who specialize in a particular aspect of a car's operating system, either low-, mid-, or high-level controls. Some software mechanics will be reliability specialists who advise car buyers on the merits of different humansafe ratings.
  Another specialty will be noise and vibration cancellation. Anyone who has tried to sleep in a rocking, rattling bed in an RV that's in motion has experienced the discomforts of sleeping in a moving vehicle. Acoustic dampening, vibration cancellation, and motion compensation have long been an area of engineering expertise in many other fields. Automotive engineers who specialize in predictive signal processing (the same technology used by noise canceling headphones) will be able to make driverless cars smoother and quieter.
  Another side effect of driverless cars that we foresee will be that the process of marketing products gains a new physical dimension. -car software will become the site of a new marketing battleground: route bidding. Today's traditional static maps point out local "points of interest," notable landmarks that could be anything from restaurants to tourist attractions to parks to shopping malls to museums.
  In a driverless future, businesses will pay the companies that make HD maps to be presented as a "point of interest." When a passenger hails a driverless taxi and asks to get to her destination, the pod's operating system will ask whether she wants to stop at a few, specially chosen, destinations. Passengers who agree will get 25 percent off on every store they stop at along the way.
  The idea that merchants can influence a customer's experience in return for free or discounted prices is not new. Even now, people enjoy reading content on free websites whose business model is based on online advertising. Most of us accepted this new kind of "free" tradeoff long ago. We permit companies to mine the contents of our emails and our text messages in exchange for free email services and cheap phones.
conversations.from: human
conversations.value: Swap the first and the last sentence.
conversations.from: assistant
conversations.value: We permit companies to mine the contents of our emails and our text messages in exchange for free email services and cheap phones. A new high-paying specialty will emerge, that of software mechanic. Software mechanics will be automotive engineers who specialize in a particular aspect of a car's operating system, either low-, mid-, or high-level controls. Some software mechanics will be reliability specialists who advise car buyers on the merits of different humansafe ratings.
  Another specialty will be noise and vibration cancellation. Anyone who has tried to sleep in a rocking, rattling bed in an RV that's in motion has experienced the discomforts of sleeping in a moving vehicle. Acoustic dampening, vibration cancellation, and motion compensation have long been an area of engineering expertise in many other fields. Automotive engineers who specialize in predictive signal processing (the same technology used by noise canceling headphones) will be able to make driverless cars smoother and quieter.
  Another side effect of driverless cars that we foresee will be that the process of marketing products gains a new physical dimension. -car software will become the site of a new marketing battleground: route bidding. Today's traditional static maps point out local "points of interest," notable landmarks that could be anything from restaurants to tourist attractions to parks to shopping malls to museums.
  In a driverless future, businesses will pay the companies that make HD maps to be presented as a "point of interest." When a passenger hails a driverless taxi and asks to get to her destination, the pod's operating system will ask whether she wants to stop at a few, specially chosen, destinations. Passengers who agree will get 25 percent off on every store they stop at along the way.
  The idea that merchants can influence a customer's experience in return for free or discounted prices is not new. Even now, people enjoy reading content on free websites whose business model is based on online advertising. Most of us accepted this new kind of "free" tradeoff long ago.In an era of driverless vehicles, some automotive jobs will be quite specialized.
conversations.from: human
conversations.value: What is the last four paragraphs?
conversations.from: assistant
conversations.value: If a robot is able to predict what it will sense in the future based on actions it takes now, and then use that predictive model to plan its future actions, then to some degree it is also self-aware. In 2006, we demonstrated a robot that was able to construct an image of itself—a sort of primitive stick-figure that was not very accurate, but was good enough to learn how to walk with no physical trials or external programming. But our robot's self-image hit the limit of perception and the prediction algorithms available at the time.
  Perhaps, as deep-learning algorithms worm their way into all AI applications, we will begin to see new generations of robots that form increasingly accurate models of themselves and their surroundings, gradually approaching self-awareness.
  A self-aware car will not meet you in the driveway and joke about the road conditions. Nor will it be genuinely interested in your feelings. But a self-aware car will have an increasingly accurate model of how it drives, and how you would like it to drive—what it can and can't do, and what the risks and benefits of each of its possible actions are. And just as our own self-awareness extends beyond ourselves to ascribe feelings and intentions to others, a future driverless car may be able to predict what other cars on the road are likely to be planning.
  The human race has been enamored of the quest to make life out of matter. Early alchemists tried and tested numerous ways to breathe life into clay. Mythical potions came and went, and over the years alchemists were replaced by their modern ancestors, roboticists. Today, we roboticists have better tools, deeper understanding, and a little more funding. But ultimately, we are still trying to breathe life into inanimate machines.