What is Autonomy by Lawrence D. Burns about?

*Autonomy* chronicles the groundbreaking development of self-driving cars, blending insider accounts of engineers and tech pioneers with analysis of how autonomous vehicles will revolutionize transportation. The book explores innovations like electric mobility and shared services, forecasting reduced crashes, fossil fuel dependence, and car ownership while highlighting key events like the 2004 DARPA desert race.

Who should read Autonomy by Lawrence D. Burns?

This book is ideal for technology enthusiasts, automotive industry professionals, urban planners, and anyone interested in future mobility trends. Burns’ accessible storytelling, combining technical depth with character-driven narratives, offers valuable insights for readers curious about AI, sustainability, and Silicon Valley’s disruption of traditional industries.

Is Autonomy by Lawrence D. Burns worth reading?

Yes—*Autonomy* is praised for its engaging blend of historical context, technological breakthroughs, and visionary forecasting. Reviews highlight its relevance to understanding AI’s societal impact, with compelling anecdotes about innovators who reshaped transportation despite skepticism from established automakers.

How does Autonomy explain the development of self-driving cars?

The book traces progress from the 2004 DARPA Grand Challenge, a Mojave Desert robot race that proved autonomous navigation feasibility, to Google’s Chauffeur project. These milestones catalyzed advancements in lidar, machine learning, and sensor fusion, demonstrating how collaboration between engineers and tech firms accelerated the driverless revolution.

What are the key benefits of autonomous vehicles according to Autonomy?

Burns projects a 90% reduction in human-error crashes, expanded mobility for the elderly/disabled, and decreased fossil fuel use via electric AVs. Shared autonomous fleets could also reduce traffic, parking demands, and transportation costs through subscription-based models.

How does Autonomy compare Detroit and Silicon Valley’s approaches to innovation?

Detroit’s traditional automotive focus clashed with Silicon Valley’s software-first mindset. While legacy automakers doubted self-driving viability, tech firms like Google prioritized rapid prototyping and AI, leading to breakthroughs in navigation systems and reshaping industry competition.

What technological breakthroughs enabled modern autonomous vehicles?

Critical innovations include 3D lidar mapping, real-time object detection algorithms, and sensor fusion systems. These technologies, refined during DARPA challenges and Google’s Chauffeur project, allowed AVs to interpret complex environments and navigate safely.

How does Autonomy envision the future of personal transportation?

Burns predicts a shift to on-demand, shared electric AVs accessed via monthly subscriptions. This model aims to enhance convenience, reduce emissions, and repurpose urban space currently used for parking, transforming how societies approach mobility.

Riassunto di Autonomia

La ricerca per costruire l'auto senza conducente - E come rimodellerà il nostro mondo

Lawrence D. Burns & Christopher Shulgan

4.13(918 Reviews)

Panoramica del Riassunto di Autonomia

L'ex dirigente della GM Burns ripercorre il viaggio rivoluzionario dalla DARPA Challenge del 2004 ai veicoli autonomi di oggi. Scopri come la tecnologia di guida autonoma trasformerà le nostre auto, inutilizzate per il 95% del tempo, in soluzioni di mobilità efficienti, salvando potenzialmente milioni di vite e ridisegnando per sempre le città e i trasporti.

Scegli come raccontarlo

Esplora il Riassunto di Autonomia con diversi stili di apprendimento

Le stesse idee di Autonomia. Scegli la voce, la profondità e il ritmo adatti a te. Cambia in qualsiasi momento.

Capitolo 1

The Revolution on Wheels: How Autonomous Vehicles Will Transform Our Lives

In the heart of Silicon Valley, a quiet revolution was brewing. While most Americans were still gripping their steering wheels with both hands, a small group of visionary engineers and entrepreneurs were imagining a world where cars drove themselves. Larry Burns, former head of research at General Motors, stood at the crossroads of this transformation. His journey from Detroit traditionalist to autonomous vehicle evangelist captures the essence of what may be the most significant transportation revolution since the invention of the automobile itself. "Autonomy" has become a cultural touchstone, making TIME's list of "10 Books You Need to Read" and attracting praise from figures ranging from Malcolm Gladwell to former Secretary of Transportation Anthony Foxx. The book's impact extends beyond literary circles-it has influenced transportation policy discussions in Washington and strategic planning in boardrooms worldwide. As autonomous vehicles begin appearing on public roads, Burns' prescient analysis helps us understand not just how this technology works, but why it matters for our collective future.

Capitolo 2

The Fatal Flaw in Our Transportation System

Our current transportation system is fundamentally broken, characterized by staggering inefficiencies and deadly consequences. The average American car sits unused 95% of the time, yet represents the second-largest household expense after housing itself, typically consuming 15-20% of a family's budget. This translates to roughly $9,000 annually per household for an asset that spends most of its time parked. When we do drive these inefficient machines, we're terrible at it-human error causes over 90% of the 1.3 million annual traffic fatalities worldwide, with distracted driving, speeding, and impaired judgment leading to countless preventable deaths. While at General Motors, I witnessed firsthand the industry's resistance to change while developing revolutionary concepts. The GM Autonomy, with its skateboard-like platform (similar to today's Tesla models), represented a complete rethinking of vehicle architecture. This innovative design separated the chassis and drivetrain from the passenger compartment, allowing for multiple body styles on a single platform. I pushed for alternative propulsion systems, including hydrogen fuel cells and electric powertrains, and arranged for GM to sponsor Carnegie Mellon's Team Tartan in the DARPA Urban Challenge, which helped advance autonomous vehicle technology. However, the auto industry's darkest days of 2008-2009 created an unprecedented opening for outsiders to challenge Detroit's dominance-Google launched its self-driving project, Tesla delivered its first Roadster, and Uber established ride-sharing markets, fundamentally disrupting traditional transportation models. My subsequent research at Columbia University revealed the enormous potential of transformation. We calculated that driverless electric vehicles designed for shared transportation could reduce travel costs by more than 80% (from $1.50 to $0.25 per mile) while providing safer, more convenient mobility. This dramatic cost reduction comes from several factors: higher vehicle utilization rates, eliminated driver costs, reduced insurance expenses, and lower maintenance requirements of electric powertrains. The convergence of shared-use vehicles, electric motors, and autonomous driving could save $4 trillion annually in the U.S. alone-equivalent to 20% of GDP-through reduced accidents, eliminated parking infrastructure, lower energy costs, and increased productivity. This transformation would dwarf the impact of any previous transportation innovation, including the shift from horses to automobiles. Future generations will likely view our current transportation system as incredibly wasteful and dangerous-personally owned vehicles sitting idle most of the time, mostly transporting single occupants, with just 1% of fossil fuel energy actually moving the driver. They'll be astonished by traffic jams that waste 8.8 billion hours annually in the U.S., inefficient vehicle usage that leaves 800 million parking spaces empty most of the time, and a system that kills 3,700 people daily worldwide. They'll wonder why we clung to such an outdated model for so long, much as we now marvel at the inefficiencies of horse-drawn transportation in the early 1900s. The environmental impact alone-transportation accounts for 29% of U.S. greenhouse gas emissions-will seem particularly shortsighted to future observers.

Vedi ogni parola mentre la ascolti

Segui la lettura senza sforzo mentre ogni parola del Riassunto di Autonomia si illumina in tempo reale.

Capitolo 3

DARPA's Desert Gamble: The Birth of Self-Driving Technology

On March 13, 2004, in the Mojave Desert, fifteen autonomous vehicles lined up for DARPA's first Grand Challenge. The military agency had offered a $1 million prize to any team whose robot could navigate 142 miles of desert terrain without human intervention. The atmosphere crackled with excitement as helicopters hovered overhead and spectators filled grandstands. "We're thirty seconds from history," shouted DARPA director Tony Tether as the first vehicle prepared to depart. But what followed was less historic triumph and more comedic disaster. The first competitor, Carnegie Mellon's Sandstorm, crashed into a fence after just a few miles. Another vehicle flipped over at the starting line. UCLA's entry stalled on an incline. The media declared it "DARPA's Debacle in the Desert," portraying it as a waste of government money. Rather than admitting defeat, Tether doubled the prize to $2 million and announced a second race for the following year. The teams returned to their labs, determined to solve the seemingly impossible challenge of autonomous navigation. Carnegie Mellon's Red Team refined their approach, while at Stanford, Sebastian Thrun implemented a learning process where their robot "Stanley" would analyze human driving patterns overnight and develop its own rules. On race day in October 2005, five vehicles completed the course, with Stanford's Stanley crossing the finish line first in 6 hours and 53 minutes. The victory represented more than just winning a race-it validated the entire field of robotics and demonstrated that autonomous vehicles were possible. Though Carnegie Mellon's team was devastated by their second-place finish, they had helped prove that machines could navigate complex environments without human guidance. DARPA raised the stakes again in 2007 with the Urban Challenge, requiring vehicles to navigate a mock city environment while obeying traffic rules and interacting with other vehicles. Carnegie Mellon's "Boss" claimed victory, demonstrating capabilities that would form the foundation of today's autonomous driving systems. As DARPA's Tether declared, "The real winner was the technology." This race represented the turning point where connected, shared and driverless vehicles became possible.

Capitolo 4

The Reinvention of the Automobile: From Mechanical Beast to Digital Marvel

In 1999, GM CEO Rick Wagoner posed a profound question: What would the car of the next hundred years look like? If automobiles were being invented today, what form would they take? This launched the most exciting research initiative of my career-reimagining mobility from first principles. The result was "Autonomy," unveiled at the 2002 North American International Auto Show-a revolutionary concept vehicle that looked nothing like a conventional car. Just a sleek, six-inch thick skateboard-like chassis with four wheels, it housed a hydrogen fuel cell system with electric motors at each wheel. We demonstrated how different vehicle bodies could be easily swapped onto this universal platform. The press loved it, with major publications calling it "the car of the future." We followed with the drivable Hy-wire prototype in 2003, which combined fuel cell technology with by-wire controls. My team made rapid progress on fuel cell technology, increasing power density sevenfold while reducing costs. In 2005, a profound revelation occurred when we compared three disassembled vehicles: a Chevy Malibu with about 10,000 parts, a Toyota Prius hybrid with even more components, and our E-Flex Architecture prototype powered by a hydrogen fuel cell-which had only about 1,000 parts, one-tenth of the conventional vehicle. When I brought Rick Wagoner to see this, he immediately grasped the implications: "This spells the end to the integrated auto industry as we know it." Electric vehicles would require far fewer employees to assemble, would eventually be cheaper to produce, and would open manufacturing to new competitors. Most critically, the expertise needed would shift from mechanical engineering to software development-a radical change for Detroit. The internal combustion engine's days were numbered, though the transition would take longer than I initially predicted. As transportation shifts to service models with fleet operators owning vehicles throughout their 300,000-mile lifecycle, the economic case for electric propulsion becomes overwhelming.

Ottieni di più dal Riassunto di Autonomia

Ricevi spunti ogni giorno da oltre 100.000 lezioni
Le parole si illuminano in sincronia con l'audio
La tua libreria salvata su ogni dispositivo

Capitolo 5

From Concept to Crisis: Detroit's Missed Opportunity

In October 2007, I had lunch with GM CEO Rick Wagoner, who was in high spirits despite the company's recent challenges. GM had just navigated difficult negotiations with the United Auto Workers regarding healthcare obligations. The deal freed GM from future healthcare obligations and cut starting wages for new employees in half. Our stock price jumped to a three-year high, and Rick was jubilant: "From here on out, I think it'll be much smoother sailing." The irony was painful. Just as technology was finally making sustainable mobility possible-with advances in batteries, mapping, smartphones, sensing, and computing power-Detroit faced its biggest crisis ever from high gas prices and the subprime mortgage crisis. As the auto industry's collapse accelerated through 2008, GM considered eliminating Saturn, Saab and Pontiac brands. The Big Three CEOs faced humiliation when they flew private jets to Washington to request bailout funds. President Bush arranged a $17.4 billion bridge loan for GM and Chrysler, but this merely postponed the inevitable. In February 2009, industry sales hit a 28-year low, with GM sales dropping 53% compared to the previous year. On March 29, Rick Wagoner announced his resignation, with Fritz Henderson taking over as CEO. After thirteen years as my direct boss and close friend, Rick's departure devastated me. I immediately told my wife CeCe, "I've got to leave, too." Just a week after Rick's resignation, we launched Project PUMA (Personal Urban Mobility and Accessibility) at the New York International Auto Show. This two-wheeled, self-balancing electric vehicle developed with Segway represented our vision for urban mobility-a 35-mile range on just 35 cents of electricity with a top speed of 35 mph. Despite its potential for congested urban environments, the press reception was brutal, with critics calling it "a rickshaw without charm" and "a pimped wheelchair." By May 2009, the strain of GM's collapse had taken a physical toll on me. The Obama administration's restructuring plan included closing up to 20 factories and cutting 21,000 union jobs. I left GM on September 30, feeling branded with a scarlet "B" for bankruptcy after a lifetime with the company. My departure freed me to complete a book with Chris Borroni-Bird and MIT's Bill Mitchell called "Reinventing the Automobile: Personal Urban Mobility for the 21st Century."

Capitolo 6

Google's Moonshot: The Secret Project That Changed Everything

After the DARPA Urban Challenge, autonomous vehicle development stalled despite the publicity and technological breakthrough. I bear responsibility for this missed opportunity-as GM's R&D chief, I declined Red Whittaker and Chris Urmson's proposal for a GM-Carnegie Mellon joint venture to continue the research, as GM was fighting for survival amid looming bankruptcy. The next significant development came when Sebastian Thrun and Anthony Levandowski began working on Google's Ground Truth project to develop mapping technology. Levandowski built a self-driving Toyota Prius (dubbed "Pribot") for a Discovery Channel show that successfully navigated most of a route from San Francisco to Treasure Island autonomously-a remarkable achievement accomplished on a shoestring budget. This demonstration coincided with Sebastian Thrun finishing his Ground Truth project at Google, where Larry Page persistently encouraged him to work on self-driving cars. Though initially resistant, claiming it couldn't be done, Thrun eventually couldn't provide Page with a technical reason why autonomous vehicles weren't feasible. In October 2008, Thrun gathered an elite team of robotics experts at his Lake Tahoe chalet, including Mike Montemerlo, Dirk Haehnel, Hendrik Dahlkamp, Anthony Levandowski, Chris Urmson, and Bryan Salesky. Google's founders established two ambitious milestones: completing a series of ten challenging drives totaling 1,000 miles and accumulating 100,000 miles of autonomous driving on public roads. Google's Street View project proved essential to the autonomous vehicle development. These detailed 3D maps became crucial for self-driving cars, allowing them to locate themselves precisely within inches by comparing real-time scans with stored landmark data. The team meticulously programmed human-like driving patterns to make passengers feel comfortable. After confirming no laws explicitly prevented a computer from driving (as long as a human occupied the driver's seat), they conducted their first public road test in May 2009. Initial tests revealed the car was overcorrecting within its lane, but after adjustments, the vehicle drove more naturally, soon crossing milestones of 10, 100, and 1,000 autonomous miles. The Chauffeur team taught their vehicle to recognize thousands of objects and behaviors through machine learning. By feeding the AI hundreds of thousands of images, the system learned to identify pedestrians, cyclists, children, animals, and even traffic cops directing traffic. Beyond mere perception, they developed a behavioral engine that could predict movements-anticipating that a cyclist might swerve into traffic to avoid a parked car or that a pickup truck would merge when lanes narrowed. By summer's end of 2010, they'd completed nine of the ten Larry1K challenges when disaster threatened: a driver leaked information about the secret project to the New York Times. The team raced to complete the final challenge before the story broke, navigating winding mountain roads in fog, dodging debris, managing narrow roads, and completing the iconic descent down San Francisco's famous Lombard Street-just before the news broke. When I experienced my first ride in Google's autonomous Prius in November 2010, I was nervous as I engaged the system on U.S. 101, one of America's busiest highways. When a Volkswagen cut us off, the Prius gently slowed to maintain a safe distance-it had anticipated the cut-off before it happened. Later, when passing a tractor-trailer, the Prius shifted slightly away in its lane, demonstrating sophisticated human-like behavior but with superior safety. I realized Thrun, Urmson, Levandowski, and Dolgov had created something that would change the world.

Vedi ogni parola mentre la ascolti

Segui la lettura senza sforzo mentre ogni parola del Riassunto di Autonomia si illumina in tempo reale.

Capitolo 7

The $4 Trillion Disruption: Reimagining Transportation Economics

During 2011, I investigated the economic impact of four converging disruptions: autonomous vehicles, purpose-designed vehicles, shared mobility, and electric propulsion. Working with the Earth Institute at Columbia University, I assembled a research team including mathematical modeling expert Bill Jordan. Our initial analysis revealed Americans spend approximately $4.5 trillion annually on automobile transportation-$2 trillion in out-of-pocket costs ($0.65/mile) plus $2.5 trillion in time value ($0.85/mile), exceeding the federal government's budget. We modeled an autonomous ride-sharing service in Ann Arbor, Michigan, requiring vehicles to arrive within two minutes of being summoned-matching the convenience of personal car ownership. Our mathematical models yielded astonishing results: the system could maintain two-minute response times with vehicles traveling empty just 5% of the time, achieving 75% utilization rates during operating hours, while requiring a fleet numbering only 15% of the population served. Using Ann Arbor's real-world data of 200,000 personally owned vehicles making 740,000 daily trips, we calculated that just 18,000 shared autonomous vehicles could provide nearly instantaneous service for all internal trips. We verified these findings across multiple cities-consistently finding the 15% ratio held for communities with population densities above 750 people per square mile, covering most American urban areas. Our cost analysis was equally revolutionary. A purpose-built two-person electric autonomous vehicle operating at scale would cost approximately $0.20 per mile-compared to the $1.50 per mile Americans typically paid for car ownership. This $1.30 per mile savings, multiplied across America's 3 trillion annual miles, represented a potential $3.9 trillion annual economic benefit. When we presented these findings to Google's Chauffeur team in December 2011, the engineers were struck by the massive business opportunity-even capturing just 10% of total miles driven could generate $30 billion in annual profits. This presentation helped solidify Google's vision beyond just autonomous vehicles to a comprehensive mobility transformation combining shared fleets, electric propulsion, and purpose-built designs.

Capitolo 8

The Great Awakening: How Silicon Valley Forced Detroit to Innovate

By late 2012, Google's Chauffeur team had developed a highway driver's assist product ready for testing. However, when they conducted internal trials, they discovered a critical flaw: the technology worked too well. Drivers completely disengaged from driving-working on laptops, applying makeup, and in one alarming case, falling asleep for 27 minutes while cruising at 60 mph. This created a fundamental safety paradox. The system required drivers to remain alert to take control during unexpected situations, with only six seconds of warning. Yet the technology lulled users into a false sense of security that made them incapable of responding appropriately. In December 2012, Chris Urmson gathered the Chauffeur team and announced they would abandon the highway assist approach. Instead, they would refocus on solving the complete autonomy problem-creating vehicles that could handle every aspect of driving without human intervention. Urmson envisioned a vehicle specifically designed for autonomous transportation-as-a-service fleets. Unlike previous efforts that adapted existing vehicles, this would be a clean-sheet design explicitly built for autonomy. The resulting two-person pod, eventually named "Firefly," embodied the mobility disruption I'd envisioned. The Firefly unveiling in May 2014 triggered an industry-wide stampede into transportation-as-a-service. After Google co-founder Sergey Brin's announcement, the New York Times published an article speculating that Google was developing driverless taxis. Travis Kalanick, Uber's CEO, viewed autonomous vehicles as existential to Uber's future, since human drivers represented 70-90% of their cost per mile. At a conference, Kalanick declared: "When there's no other dude in the car, the cost of taking an Uber anywhere becomes cheaper than owning a vehicle." The implications of autonomous technology were beginning to resonate throughout the industry. John Casesa, a respected auto industry investment banker, experienced his own epiphany about self-driving cars in 2014. After reading my Earth Institute paper projecting that just 9,000 autonomous taxis could provide superior mobility service in Manhattan at one-tenth the cost of human-driven cabs, Casesa was stunned. He described the coming change as "an earthquake for the industry" and emphasized: "This is not an evolution of your product. It's a substitution for your product." By 2015, the industry finally started believing my long-standing prediction that self-driving technology would revolutionize automobiles. Uber's valuation surpassed General Motors, while Google became valuable enough to potentially buy GM outright with its cash reserves. This triggered widespread industry upheaval, with traditional automakers scrambling to catch up through acquisitions and partnerships. GM made the most startling about-face after initially responding to Google with arrogance. CEO Mary Barra began listening to new voices, particularly president Dan Ammann, who observed, "Lots of people say they love to drive, but I haven't met anyone yet who says they love their commute." In early 2016, GM invested $500 million in Lyft, launched the ride-sharing company Maven, and spent $581 million to acquire forty-employee startup Cruise Automation for its autonomous expertise.

Ottieni di più dal Riassunto di Autonomia

Ricevi spunti ogni giorno da oltre 100.000 lezioni
Le parole si illuminano in sincronia con l'audio
La tua libreria salvata su ogni dispositivo

Capitolo 9

The Human Factor: When Technology Outpaces Our Wisdom

On May 7, 2016, forty-year-old Joshua Brown became the first fatality involving autonomous vehicle operation when his Tesla Model S collided with a tractor-trailer while using Autopilot. Brown, a technology entrepreneur and former Navy bomb disposal expert, was an enthusiastic Tesla owner who had accumulated 45,000 miles in his "Tessy" and frequently posted videos demonstrating Autopilot's capabilities. Multiple investigations revealed the Tesla didn't detect the tractor-trailer crossing its path. NHTSA's reconstruction suggested the trailer was visible for over ten seconds before impact, but Brown took no evasive action. Tesla offered two theories: either sensors mistook the white trailer for sky, or they detected it but classified it as a "false positive" like an overhead sign. The author argues Tesla created dangerous conditions through several failures: naming the system "Autopilot," which created unrealistic expectations; inadequately informing users about the system's limitations; and Elon Musk personally retweeting one of Brown's videos, potentially endorsing his usage. I took several lessons from Brown's death. Tesla and Musk have a pattern of overpromising and under-delivering, exemplified by Autopilot. I feel fortunate that Google's self-driving technology was developed under Page and Brin's funding before Musk entered the field. Google tested on public roads for seven years without a single crash implication, while Tesla's Autopilot was involved in a fatality just seven months after rollout. The incident highlighted the fundamental challenge of partial automation-humans are terrible at monitoring systems that work well most of the time but occasionally require intervention. This is why Google pivoted to developing fully autonomous vehicles rather than driver assistance systems.

Capitolo 10

The Road Ahead: Where Autonomy Takes Us Next

The early frustration felt by autonomous vehicle pioneers has given way to validation as their predictions have materialized. Red Whittaker, once battling university administration to develop his robots, is now celebrated on campus banners as a revolutionary. The initial dismissive attitudes between Silicon Valley engineers and Detroit automakers have transformed into collaborative partnerships. Waymo's expansion strategy positions it not as a disruptor but as an enabler of future businesses through partnerships with companies who maintain their growing fleet. This approach helps Waymo scale at lower cost while delivering new mobility options. I marvel at Larry Page and Sergey Brin's unwavering commitment to driverless vehicles-something traditional stakeholders in the 130-year-old transportation system would never have catalyzed with their vested interests in the status quo. The mobility revolution required visionaries with belief in digital technology, passion for compelling experiences, deep pockets, and commitment to improving the world. To frame this as a race with winners and losers misunderstands the scale of what's happening. While technology companies with hundred-billion-dollar valuations may have advantages over automakers with mere tens of billions, the mobility disruption will ultimately benefit humanity broadly. Children born today may learn to drive the way some still learn horseback riding-as a recreational skill rather than a necessity. The future won't be utopian, just as the internet brought trolls and fake news alongside its benefits, but cities will become more pleasant habitats with fewer inconveniences defining our daily routines. If we succeed-and we will-we'll reduce annual traffic fatalities by 90 percent, eliminate oil dependence in transportation, free up urban land currently devoted to parking, reshape downtowns, democratize mobility access, and slow climate change. The future of mobility is coming-enjoy the ride!

★★★★★

Hai raggiunto la fine del Riassunto di Autonomia

“Sono passati 23 giorni e l'ho usata ogni giorno. Ora fa parte della mia routine quotidiana.”

jayallen

Temi chiave del Riassunto di Autonomia

autonomous vehicle development
transportation system efficiency
shared mobility economics
automotive industry disruption
driverless car history

Le migliori citazioni dal Riassunto di Autonomia

Our current transportation system is fundamentally broken.
We're terrible at it.
The real winner was the technology.
What would the car of the next hundred years look like?
The press loved it.

Personaggi del Riassunto di Autonomia

Lawrence D. BurnsFormer GM executive and autonomous vehicle expert
Tony TetherDARPA director who launched the Grand Challenge
Sebastian ThrunStanford professor who developed the robot Stanley
Christopher ShulganCo-author of the book

Sull'autore

Lawrence D. Burns, coautore di Autonomy: The Quest to Build the Driverless Car—And How It Will Reshape Our World, è un innovatore visionario della mobilità ed ex vicepresidente aziendale di R&S presso General Motors, dove ha supervisionato programmi tecnologici avanzati per oltre un decennio.

Christopher Shulgan, pluripremiato collaboratore specializzato in narrazioni basate su competenze specialistiche, collabora con Burns per offrire questa esplorazione definitiva dei veicoli autonomi e delle loro implicazioni sociali.

Il libro fonde storia della tecnologia e futurismo, arricchito dal ruolo fondamentale di Burns come consulente per il progetto Waymo di Google e dall'abilità di Shulgan nel tradurre innovazioni complesse in una prosa accessibile. Burns è coautore dell'acclamato volume della MIT Press Reinventing the Automobile, che delinea quadri di mobilità sostenibile ancora oggi citati nei programmi di pianificazione urbana.

Il loro lavoro è stato presentato su The New York Times, Wired e NPR, con Burns che tiene spesso conferenze a Stanford e alla Columbia sulla prossima frontiera dei trasporti. Membro della U.S. National Academy of Engineering, le intuizioni di Burns influenzano le politiche globali sulla mobilità guidata dall'intelligenza artificiale.

Scarica il riassunto di Autonomia

Ottieni il riassunto di Autonomia in formato PDF o EPUB gratuito. Stampalo o leggilo offline quando vuoi.

Agli utenti è piaciuto anche

Architects of Intelligence

Martin Ford

Driven

Paul R. Lawrence and Nitin Nohria

Human/Machine

Daniel Newman and Olivier Blanchard

Copertina del libro Inside the Race to Build Superintelligence

Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM | VentureBeat

Building the compute infrastructure for the Intelligence Age | The Next Input

$Project Glasswing: Securing critical software for the AI era \ Anthropic$ $Expanding Project Glasswing \ Anthropic$

7 sources

Inside the Race to Build Superintelligence

Drive

Daniel H. Pink

Powershift

Alvin Toffler

Traffic

Tom Vanderbilt

Copertina del libro Rivian and the Smartphone on Wheels

[5dfb54d8-9cb0-4b18-af3e-0862524f5a3c:c0000] By 2030, it'll be inconceivable to buy a car and not expe… p1-1

[5dfb54d8-9cb0-4b18-af3e-0862524f5a3c:c0001] By 2030, it'll be inconceivable to buy a car and not expe… p1-1

[5dfb54d8-9cb0-4b18-af3e-0862524f5a3c:c0002] By 2030, it'll be inconceivable to buy a car and not expe… p1-1

[5dfb54d8-9cb0-4b18-af3e-0862524f5a3c:c0003] By 2030, it'll be inconceivable to buy a car and not expe… p1-1

5 sources

Rivian and the Smartphone on Wheels

Domande frequenti sul Riassunto di Autonomia

Scopri di più

PIANO DI APPRENDIMENTO

Orchestrating Autonomous Agent Systems

As AI shifts from simple chat to autonomous action, mastering the structural design of multi-agent systems is critical for modern developers. This plan is ideal for software engineers and architects looking to transition from basic LLM prompts to scalable, production-ready agent orchestration.

2 h•3 Sezioni

PIANO DI APPRENDIMENTO

Master AI Efficiency and Effectiveness

This learning plan is essential for professionals and leaders aiming to stay competitive in an increasingly automated economy. It provides a comprehensive roadmap from foundational theory to building advanced autonomous systems, making it ideal for anyone looking to lead digital transformation.

5 h 50 m•4 Sezioni

PIANO DI APPRENDIMENTO

The Autonomous Digital Command Center

This plan is essential for digital leaders and entrepreneurs looking to scale operations without increasing manual overhead. It provides a blueprint for integrating autonomous AI roles into a robust data architecture to maximize both production and profit.

1 h 30 m•3 Sezioni

PIANO DI APPRENDIMENTO

The Mechanics of AI Agents

As AI shifts from passive tools to active collaborators, understanding their underlying mechanics is essential for developers and architects. This plan is designed for technical professionals looking to build scalable, cost-effective, and highly autonomous agentic systems.

1 h 36 m•4 Sezioni

PIANO DI APPRENDIMENTO

La responsabilité à l'ère des machines

Ce parcours est essentiel pour comprendre comment concilier innovation technologique et impératifs éthiques durables. Il s'adresse aux décideurs et citoyens souhaitant naviguer les défis de l'automatisation tout en préservant l'avenir.

1 h 30 m•3 Sezioni

PIANO DI APPRENDIMENTO

The Anatomy of Electric Propulsion

This plan is essential for engineers and tech enthusiasts transitioning into the EV sector. It provides a technical deep dive into how energy transforms from chemical storage into mechanical motion.

1 h 12 m•3 Sezioni

PIANO DI APPRENDIMENTO

Master Discipline, Autonomy & Power Laws

This plan is designed for high-achievers and aspiring leaders who feel hindered by external pressures or inefficient habits. It provides a blueprint for mastering internal control and navigating social hierarchies to maximize personal impact.

4 h 17 m•4 Sezioni

PIANO DI APPRENDIMENTO

The Dizziness of Freedom

This learning plan is designed for individuals feeling paralyzed by modern life's endless choices or lost in societal expectations. It provides a roadmap for anyone seeking to reclaim their agency and transition from passive conformity to an authentic, self-determined existence.

2 h•4 Sezioni

Creato da alumni della Columbia University | a San Francisco

BeFreed Riunisce Una Community Globale Di Menti Curiose

4.7

valutazione media

Oltre 7,84 mila valutazioni dell’app

Community BeFreed

Sul serio, non ho ancora esplorato l'app fino in fondo, ma dopo questi primi giorni sono davvero colpita… BeFreed è su un altro livello rispetto a qualsiasi altra app di apprendimento che abbia usato. Ti coinvolge tantissimo e migliora davvero la concentrazione: perfetta per chi non riesce a smettere di scrollare!

@ladyInfinity

Ho comprato BeFreed esattamente 23 giorni fa e da allora l'ho usata ogni singolo giorno. Si è integrata completamente nel mio flusso di lavoro e nelle mie abitudini di studio.

@jayallen

La verità è che l'app ha superato tutte le mie aspettative. Posso chiederle di generare audio su qualunque argomento, qualsiasi esso sia, e il risultato è impressionante. Il mio campo professionale è una specializzazione in psicoterapia, molto multidisciplinare; eppure le risposte sono molto accurate.

@Raguipa

Quello che apprezzo di più è quanto abbia ridotto il mio scrolling: passo meno tempo a cercare e più tempo ad assorbire informazioni. La combinazione di audiolibri completi, podcast e piani di apprendimento è brillante.

@colonyofcreatorsNGO

Sono istruttore di apprendimento accelerato PhotoReading da 24 anni… libri, lettura e apprendimento sono il mio pane, e BeFreed ha fatto un ottimo lavoro offrendo un approccio innovativo per trasmettere le informazioni in un modo facile da assimilare.

@BeFreed user

Non è solo un'app di riassunti di libri: ho usato l'opzione di lettura divertente ed è un riassunto molto migliore, un modo più efficace di afferrare le idee rispetto al metodo tradizionale. Solo questo vale la spesa.

@austinakon

Adoro questa app. La uso da diversi giorni e non riesco a smettere di ascoltare. Un ottimo modo per iniziare.

@jcrules328

Il programma mi piace davvero; lo sto provando da circa un mese e lo trovo una vera gemma. Funziona così bene perché con BeFreed posso creare i miei argomenti, e la voce è ottima, con una scelta illimitata di narrazioni.

@DanielCZ

Sul serio, non ho ancora esplorato l'app fino in fondo, ma dopo questi primi giorni sono davvero colpita… BeFreed è su un altro livello rispetto a qualsiasi altra app di apprendimento che abbia usato. Ti coinvolge tantissimo e migliora davvero la concentrazione: perfetta per chi non riesce a smettere di scrollare!

@ladyInfinity

Ho comprato BeFreed esattamente 23 giorni fa e da allora l'ho usata ogni singolo giorno. Si è integrata completamente nel mio flusso di lavoro e nelle mie abitudini di studio.

@jayallen

La verità è che l'app ha superato tutte le mie aspettative. Posso chiederle di generare audio su qualunque argomento, qualsiasi esso sia, e il risultato è impressionante. Il mio campo professionale è una specializzazione in psicoterapia, molto multidisciplinare; eppure le risposte sono molto accurate.

@Raguipa

Quello che apprezzo di più è quanto abbia ridotto il mio scrolling: passo meno tempo a cercare e più tempo ad assorbire informazioni. La combinazione di audiolibri completi, podcast e piani di apprendimento è brillante.

@colonyofcreatorsNGO

Sono istruttore di apprendimento accelerato PhotoReading da 24 anni… libri, lettura e apprendimento sono il mio pane, e BeFreed ha fatto un ottimo lavoro offrendo un approccio innovativo per trasmettere le informazioni in un modo facile da assimilare.

@BeFreed user

Non è solo un'app di riassunti di libri: ho usato l'opzione di lettura divertente ed è un riassunto molto migliore, un modo più efficace di afferrare le idee rispetto al metodo tradizionale. Solo questo vale la spesa.

@austinakon

Adoro questa app. La uso da diversi giorni e non riesco a smettere di ascoltare. Un ottimo modo per iniziare.

@jcrules328

Il programma mi piace davvero; lo sto provando da circa un mese e lo trovo una vera gemma. Funziona così bene perché con BeFreed posso creare i miei argomenti, e la voce è ottima, con una scelta illimitata di narrazioni.

@DanielCZ

Adoro poter ricevere informazioni e idee utili e condensate in un audio in stile podcast da 8-15 minuti. Non sono un grande fan dei podcast per via di tutto il riempitivo, ma qui si va dritti al punto.

@BeFreed user

Sto finendo il dottorato e devo leggere un sacco di materiale che non conosco… Con BeFreed basta inserire un prompt: l'app trova le fonti per te e genera un podcast audio. Trovo il processo di BeFreed più scorrevole di NotebookLM.

@Brad

Cerco spesso su YouTube qualcosa da ascoltare mentre preparo la colazione, cammino o sono in viaggio, e BeFreed offre un approccio ancora più mirato, senza pubblicità e senza riempitivi!

@BeFreed user

La cosa in assoluto migliore di questa piattaforma è la versatilità. Non c'è letteralmente nessun argomento fuori portata. Gestisce qualsiasi cosa le proponi… È raro trovare uno strumento di apprendimento senza limiti che mantenga davvero le promesse.

@jayallen

BeFreed è fantastica. Il design intuitivo mi fa passare meno tempo a navigare e più tempo a imparare. Il mix di audiolibri, podcast e piani di apprendimento è una combinazione geniale che ha cambiato completamente la mia routine quotidiana.

@BeFreed user

All'inizio mi ci è voluto un po' per capire come creare podcast in italiano e poi… boom! È fantastico! Posso chiedergli di spiegarmi qualsiasi argomento e lo fa benissimo, con grande intelligenza!

@matteo77

BeFreed è diventata la mia app quotidiana per gli audiolibri… Quello che mi piace di più è che inserisci il tuo testo e ottieni un audio da ascoltare ovunque.

@kotanzu1

Adoro poter ricevere informazioni e idee utili e condensate in un audio in stile podcast da 8-15 minuti. Non sono un grande fan dei podcast per via di tutto il riempitivo, ma qui si va dritti al punto.

@BeFreed user

Sto finendo il dottorato e devo leggere un sacco di materiale che non conosco… Con BeFreed basta inserire un prompt: l'app trova le fonti per te e genera un podcast audio. Trovo il processo di BeFreed più scorrevole di NotebookLM.

@Brad

Cerco spesso su YouTube qualcosa da ascoltare mentre preparo la colazione, cammino o sono in viaggio, e BeFreed offre un approccio ancora più mirato, senza pubblicità e senza riempitivi!

@BeFreed user

La cosa in assoluto migliore di questa piattaforma è la versatilità. Non c'è letteralmente nessun argomento fuori portata. Gestisce qualsiasi cosa le proponi… È raro trovare uno strumento di apprendimento senza limiti che mantenga davvero le promesse.

@jayallen

BeFreed è fantastica. Il design intuitivo mi fa passare meno tempo a navigare e più tempo a imparare. Il mix di audiolibri, podcast e piani di apprendimento è una combinazione geniale che ha cambiato completamente la mia routine quotidiana.

@BeFreed user

All'inizio mi ci è voluto un po' per capire come creare podcast in italiano e poi… boom! È fantastico! Posso chiedergli di spiegarmi qualsiasi argomento e lo fa benissimo, con grande intelligenza!

@matteo77

BeFreed è diventata la mia app quotidiana per gli audiolibri… Quello che mi piace di più è che inserisci il tuo testo e ottieni un audio da ascoltare ovunque.

@kotanzu1

Scopri di piu su come si parla di BeFreed nel web

Inizia il tuo percorso di apprendimento, ora

Capitolo 6