The hottest Self-driving cars Substack posts right now

And their main takeaways
Category
Top Technology Topics

The ghosts that live in my garage

Basta’s Notes • 122 implied HN points • 13 Jan 25
🕹 Technology Machine Learning Artificial Intelligence Self-driving cars Data science Software Development
  1. Machine learning models are good at spotting patterns that humans might miss. This means they can make predictions and organize data in ways that are impressive and often very useful.
  2. However, machine learning can struggle with unclear or messy data. This fuzziness can lead to mistakes, like misidentifying objects or giving unexpected results.
  3. Not every problem needs a machine learning solution, and sometimes simpler methods work better and are more effective. It's important to think carefully about whether machine learning is truly the best tool for the job.

Two cheers for looser self-driving regulations

Alex's Personal Blog • 65 implied HN points • 18 Nov 24
🕹 Technology Self-driving cars Regulation Automotive Business impact AI Development
  1. Looser regulations for self-driving cars could be beneficial. Robots generally drive better than humans, so easing rules might help get safer self-driving cars on the road faster.
  2. Self-driving technology is making progress and has already proven to be a safer alternative to human drivers in many cases. It's a good time to support its expansion and keep improving safety.
  3. The current political climate may shift focus toward tech regulations, but it's important to balance safety with innovation in areas like self-driving vehicles.

We Are All Bad Drivers

Common Sense with Bari Weiss • 329 implied HN points • 28 Feb 24
🕹 Technology Self-driving cars Tech regulation Public Transportation Artificial Intelligence
  1. Some people are against autonomous vehicles due to concerns about job losses and automation, leading to vandalism and resistance. However, autonomous vehicles have the potential to significantly reduce traffic fatalities caused by human drivers.
  2. Despite initial skepticism, self-driving cars are evolving and have the ability to improve safety on the roads. They offer a smooth and futuristic driving experience, with the potential to outperform human drivers.
  3. The deployment of self-driving cars is a step towards minimizing traffic deaths, and they can coexist with public transportation systems. Government regulations play a crucial role in overseeing the introduction of autonomous vehicles to ensure safety and efficacy.

Smartphones on Wheels

Technically Optimistic • 39 implied HN points • 08 Mar 24
🕹 Technology Data Privacy Self-driving cars AI Tech industry
  1. Cars are becoming more like smartphones, packed with technology that collects data on us, raising concerns about privacy and data security.
  2. Data from our cars is being used in various ways like by insurance companies and for managing traffic, highlighting the importance of understanding and protecting our data.
  3. As we move towards a future with driverless cars, concerns arise about privacy violations and the need for individuals to be informed and assert control over their data.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Inertia Creeps

Kneeling Bus • 185 implied HN points • 23 Jun 23
🕹 Technology Transportation Self-driving cars Mobile technology
  1. Driving in Los Angeles is time-consuming and inconvenient for everyone, regardless of wealth.
  2. Transport options like ridesharing apps have transformed urban travel and made distant places more accessible, albeit at a higher cost.
  3. Advancements in transportation technology suggest a future where travel becomes a space of its own, separate from the physical world we traverse.

Car-GPT: Could LLMs finally make self-driving cars happen?

The Gradient • 20 implied HN points • 08 Mar 24
🕹 Technology AI Self-driving cars Neural Networks
  1. Self-driving cars are traditionally built with separate modules for perception, localization, planning, and control.
  2. New approach of End-To-End learning involves a single neural network for steering and acceleration, but it can create a black box problem.
  3. The article explores the potential role of Large Language Models (LLMs) like GPT in revolutionizing autonomous driving by replacing traditional modules.

I knew this was coming

Apperceptive (moved to buttondown) • 32 implied HN points • 27 Oct 23
🕹 Technology Self-driving cars Tech industry Software Development Autonomous Vehicles
  1. The self-driving car industry had many startups aiming for a piece of the autonomous car market.
  2. Waymo and Cruise were seen as leading the race for self-driving vehicles, but had vastly different approaches and challenges.
  3. Cruise faced difficulties transitioning from testing to deploying revenue taxi service while still grappling with technical challenges.

Becoming One with the Machine

Malt Liquidity • 6 implied HN points • 13 Mar 24
🕹 Technology AI Machine Learning Self-driving cars Computer Vision Neural Networks
  1. Our brain is exceptional at pattern recognition, and merging with technology can enhance our abilities.
  2. Visual processing is faster than auditory processing, like in chess where seeing the board is more efficient than listening to a game.
  3. Technology, like AI, can help turbocharge our skills by providing new perspectives and automating processes, leading to more creative problem-solving.

Elon Musk's Secret Beijing Trip: Is China Winning the Global Electric Car Race?

AI Disruption • 0 implied HN points • 28 Apr 24
🕹 Technology Electric Vehicles AI Self-driving cars Automotive Industry Future Technology
  1. Elon Musk sees China as a leader in electric cars and believes all cars will eventually be electric.
  2. Musk's visit to Beijing likely had the dual purpose of exploring new electric vehicles at the auto show and discussing Tesla's self-driving technology with Chinese leaders.
  3. The future of cars will be electric and self-driving, with China excelling in electric car technology while the US and Europe show less enthusiasm for new electric vehicles.

All aboard the quantum rollercoaster, and reaching peak child under capitalism

Alex's Personal Blog • 0 implied HN points • 15 Jan 25
🕹 Technology Quantum Computing Artificial Intelligence Self-driving cars Economic Trends
  1. Technology is advancing rapidly in areas like self-driving cars and digital superintelligence, but we are still waiting for significant breakthroughs in quantum computing.
  2. Birth rates are declining in many developed countries due to the pressures of capitalism, causing concerns about the future population.
  3. Parents are feeling overwhelmed and are choosing to have fewer children in a competitive world, in turn affecting societal growth.