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Legendary composer Laurie Spiegel on the difference between algorithmic music and ‘AI’

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Legendary composer Laurie Spiegel on the difference between algorithmic music and ‘AI’

In 1986, electronic music pioneer Laurie Spiegel created Music Mouse, a way for those with a Mac, Atari, or Amiga computer to dabble in algorithmic music creation. Music Mouse is deceptively simple: Notes are arranged on an XY grid, and you play it by moving a mouse around. Back in 1986, the computer mouse was still a relatively novel device. While it can trace its origins back to the late ’60s, it wasn’t until the Macintosh 128K in 1984 that it started seeing widespread adoption.

By then Spiegel, was already an accomplished composer. Her 1980 album The Expanding Universe is generally considered among the greatest ambient records of all time. And her composition “Harmony of the Worlds” is currently tearing through interstellar space as part of the Voyager Golden Record, launched in 1977. But she is also a technical wizard who joined Bell Labs in 1973 and was instrumental in early digital synthesis experiments and worked on an early computer graphics system called Vampire.

Spiegel was deeply drawn to algorithmic music composition and this new tool, the home computer. So, she created what she calls an “intelligent instrument” that enables the creation of complex melodies and harmonies with minimal music-theory knowledge. Music Mouse restricts you to particular scales, and then you explore them simply by pushing a mouse around.

Spiegel gives the user some control, of course. You can choose if notes move in parallel or contrary to each other, there are options to play notes back as chords or arpeggios, and there is even a simple pattern generator.

Despite being available for purchase until 2021, Spiegel never updated it to work on anything more current than Mac OS 9. Now, 40 years after its debut, it’s getting reborn for modern machines with help from Eventide.

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Music Mouse is finally running on modern hardware.
Image: Eventide

While it would have been easy for Eventide and Spiegel to overload the 2026 version of Music Mouse with countless modern amenities and new features, they kept things restrained for version 1.0. The core feature set is the same, though the sound engine is more robust and includes patches based on Spiegel’s own Yamaha DX7. There are also some enhanced MIDI features, including the ability to feed data from Music Mouse into your DAW or an external synthesizer.

Laurie Spiegel answered some questions for us about the history of Music Mouse, algorithmic composition, AI, and why she thinks the computer is a “folk instrument.”

What were the origins of Music Mouse? Was there something specific that inspired its creation?

When the first Macs came out, the use of a mouse as an input device, as an XY controller, was altogether new. Previous computers had just alphanumeric keyboard input or maybe custom controllers. The most obvious thing I immediately wanted to do was to be able to push sound around with that mouse. So, as soon as the first C compilers came out, I coded up a way to do that. Pretty soon, though, I wanted the sound quantized into scales, then to add more voices to fill out the harmony. Then I wanted to have controls for timbre, tempo, and everything else I eventually added.

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How did you connect with Eventide for this new version?

I first met Tony and Richard of Eventide all the way back in the early 1970s. They are longtime good friends. I’d been involved in various music tech projects at Eventide over the years. Tony knew that I really missed Music Mouse and that I still get a fair number of requests for the 1980s versions from people who keep vintage computers from that era just to be able to run Music Mouse or other obsolete software. He decided it was a musical instrument worth reviving. I had been wanting to revive it, but hadn’t been able to find the time to even just keep up with the way development tech keeps changing. My main thing is really composing music, and I have an active enough career doing that to not have enough time to do coding as well. I am extremely grateful to Eventide for resuscitating Music Mouse. I hope a lot of people will get a lot of music out of this new version.

Did you feel compelled to make any big changes to it after 40 years?

We decided to keep 1.0 of this new version of Music Mouse functionally the same as the 1980s original. The exceptions are adding a higher-quality internal synthesizer and providing ways to sync it with other software, to record or notate its MIDI output. We have a growing list of features to add in 2.0.

“It’s pretty easy by now to use computers to generate music-like material that is not actually the expression of an individual human being.”

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Are there any current innovations in music tech that excite you?

That’s a hard question, because I am not all that excited about music tech right now. It’s music itself that holds my interest — composition, form, structure. I love counterpoint and the various contrapuntal forms. I studied them extensively when I was younger. Of course, harmonic progression is something I’m also very interested in, and in algorithmic assistance for composing it.

That various kinds of structures within music can now be more easily dealt with in computer software by now has both pros and cons. The pros include how much more deeply we have to understand how music works, how it is structured, and how it affects us, in order to represent it as a process description in software. That means learning, research, and self-discovery. The cons include that it’s pretty easy by now to use computers to generate music-like material that is not actually the expression of an individual human being. Music is a fundamental human experience. There is no human society that doesn’t have it. But it is something that comes from within human beings, as personal expression, as communication, as a sort of form of documentation of what we are feeling, and as a means of sharing it.

You’ve been credited as saying that the computer is a new kind of folk instrument. Can you explain what you mean by that? How does something like Music Mouse fit into that model?

Now that everyone with a computer or even just a phone has the ability to record and edit and play back and digitally process and transform sound, and particularly ever since sampling became a common musical technique, people have been doing remixes, collages, sonic montages… doing all kinds of stuff to audio they get from others or find online. This is very like what we used to call “the folk process,” in which music is repurposed, re-orchestrated, given new lyrics or otherwise modified as it goes from person to person and is adapted to fit what is meaningful in successive groups of people.

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Music Mouse will help people create musical materials that can be used in a potentially infinite number of ways. It is a personal, often home-based instrument played by an individual, like a guitar.

Laurie Spiegel in 1990 in front of her Mac and a large collection of synths and other audio gear.

Laurie Spiegel in 1990 working at her Macintosh.
Image: Marilyn McLaren

You refer to Music Mouse as an “intelligent instrument”; it automates a certain amount of creation. What is the appeal of letting a computer take the wheel to a degree, as an artist?

Music Mouse is not a generative algorithm or an “AI.” It’s a musical instrument that a person can play. It is, to some degree, what we used to call an “expert system,” as it has some musical expertise built in. But that is meant to be supportive for the real live human being who is playing it, not to replace them. It makes the playing of notes easier in order to let the player’s focus be on the level of phrasing or form. I have coded up generative algorithms for music. Music Mouse is not one of them. It’s an instrument that an individual can play, and it’s under their control. It enables a different perspective that’s from above the level of the individual note.

Do you see a connection between modern generative AI and algorithmic composition tools?

Of course. Algorithms can be used to generate music. I have written and used some. Music Mouse is not generative, though. It does nothing on its own. It’s a musical instrument played by a person.

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What is currently called “AI” is different from previous generations of artificial intelligence. I expect there will doubtless be further evolution. In the early years of my use of computer logic in composing, AI was more of a rule-based practice. We would try to figure out how the mind was making a specific kind of decision, code up a simulation to test our hypothesis, and then refine our understanding in light of the result. After that, there was a period of AI taking more of a brute-force approach. Computer chess, for example, would involve generating all possible moves possible in a given situation, then eliminating those that would be less beneficial. Then neural nets were brought in for a next generation of AI. I look forward to getting beyond the imitative homogenizing LLM approach and seeing whatever comes next.

There are many ways of designing an algorithm that either generates music or else helps a human being to do that, making some of the decisions during the person’s creative process to leave them free to focus on other aspects. By taking over some of the decision-making, they can free a creative mind to focus on different perspectives. People just starting to learn music too often bog down and give up at the level of simply playing the notes, just figuring out where to put their fingers. We can make musical instruments now that let people use a bit of automation on those low levels to let them express themselves on a larger level, for example, to make gestures in texture-space rather than thinking ahead just one note at a time.

“Music Mouse is not a generative algorithm or an ‘AI.’ It’s a musical instrument that a person can play.”

What do you think separates algorithmically generated music from something created by generative AI?

Artificial intelligence refers to a specific subset of ways to use algorithms. An algorithm is just a description of a process, a sequence of steps to be taken. A generative algorithm can make decisions involved in the production of information, and, of course, music is a kind of information. You can think of AI as trying to simulate human intelligence. It might have a purpose, such as taking over some of our cognitive workload. In contrast, the purpose of generative algorithms is to create stuff. In music, that purpose is to create an experience.

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Music Mouse is not a generative algorithmic program. It’s more of a small expert system in that it has built into it information and methods that can help its player get beyond the level of just finding notes, to the level of finding personal expression.

Suno’s CEO Mikey Shulman has said that, “Increasingly taste is the only thing that matters in art and skill is going to matter a lot less.” In an age where music can be easily created using algorithms, plug-ins, and text prompts on cheap laptops and smartphones, do you see the role of composer being one primarily of curation?

I can see where he’s coming from, but, no, I don’t think so. The range and kinds of skills used in the creative arts will continue to evolve and expand. But the history of creative techniques shows them to be largely cumulative versus sequential. The keyboard synthesizer has not replaced the piano, which has not replaced the harpsichord or the organ. We have them all, that whole lineage, all still in use. Each musical instrument or artistic technique implies its own unique artistic realm. Each is defined by its specific limitations, which guide us as we use them. It is true that skills and traditional techniques will be an option rather than a prerequisite to creating music and art, but people will still do them. Just as LPs and chemical film have made comebacks recently, I expect to see traditional musical skills do the same. We have had computers and synthesizers for decades, yet there are still little children captivated by instruments made out of wood or painting or drawing, and I have yet to use any music editing software that gives me the fluidity and freedom of a pencil on staff paper. There will just be more kinds of complementary ways of making music.

More importantly, we humans have imaginations and emotions. There are internal experiences going on inside of us that we feel driven to express, to communicate, to share. It doesn’t matter what machines can generate on their own. We will always have those internal subjective experiences, emotion, and imagination, and people will experience them intensely enough to feel driven to create them external to their own selves in order to communicate and share them. You can’t replace human self-expression or the need for it by simulating their results. Artistic creation comes from a fundamental human drive, the need for self-expression. Artistic creativity is an essential method of processing the intensity of being alive.

Laurie Spiegel in the studio in 1985.

Laurie Spiegel in the studio in 1985.
Image: Enrico Ferorelli

You told New Music USA in 2014 that, in regard to electronic music, “There is no single creator… the concept of a finite fixed-form piece with an identifiable creator that is property and a medium of exchange or the embodiment of economic value really disappears.” Does this idea shape your views on ownership of art?

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Those assumptions, which we inherited from the European classical model of music, are already much less prominent in our musical landscape. Improvisation, “process pieces,” the ease with which we can do transformations of audio files are all over the place. Folk music, and a lot of what we heard online here and there, might be audio that no longer has any known originator. We don’t know, and people don’t really care, who first created a swatch of sound. We are experiencing whatever has been done with it — different orchestrations, durations, signal processing. The huge proliferation of plug-ins and guitar effects pedals let anyone transform a sound beyond recognition. This is composition on a different level than on the level of the individual note, similarly to Music Mouse.

Another very important aspect of “folk music” is that it is typically played at home, with or for friends or family, or alone. This is very different from formal concert settings and programming we in the US inherited from Europe. For me, the most important musical experience is just about always at home, where we live. To quote what Pete Seeger said in his write-up of Music Mouse in Sing Out, that “she [meaning me] foresees a day when computer pieces will be like folksongs, anonymous common property to be altered by each new user. She would like to get music out of the concert hall and back into the living room.”

Music Mouse is available for macOS and Windows 11 for $29.

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Get a $30 credit when you reserve Samsung’s upcoming Galaxy phones

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Get a  credit when you reserve Samsung’s upcoming Galaxy phones

Even though they haven’t been officially announced yet, Samsung is giving you a chance to save some cash when you preorder what we’re expecting to be the brand’s updated Galaxy Z Fold phones. The next Galaxy Unpacked event will take place on July 22nd, 2026, and features the tagline “A new shape unfolds.” In addition to seeing updated versions of the existing Flip and Fold form factors, we anticipate the debut of a new, wider foldable phone. If you register your interest ahead of time and end up preordering one of the new phones shortly after they’re announced, Samsung will give you a $30 store credit at checkout.

There are some caveats to this offer. You have to use the credit when you preorder the phone. No saving it for later. Also, the credit can’t be applied to the cost of the phone either, so you’ll have to put it towards the cost of accessories or extra services. Samsung specifically calls out that select Galaxy rings, earbuds, watches, and tablets are eligible, or you can use it to help pay for Samsung Care Plus.

There are no downsides to registering your interest, so if you think you might be interested in buying one of the upcoming phones, it’s worth filling out the form. As long as you use the same email during checkout, the credit will be automatically applied.

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Apple AI security update proves hackers move fast

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Apple AI security update proves hackers move fast

NEWYou can now listen to Fox News articles!

A security update rarely feels dramatic. You see the alert, promise yourself you will install it later and then go right back to whatever you were doing. This time, Apple is giving you a stronger reason to pay attention.

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Apple released iOS 26.5.2, iPadOS 26.5.2 and macOS Tahoe 26.5.2 on June 29, 2026. The updates include security fixes for vulnerabilities tied to the kernel, WebKit and WebRTC. Apple says these fixes were first made available through the iOS 26.6, iPadOS 26.6 and macOS Tahoe 26.6 betas before being pushed out early to everyone.

That is the part that should make you pause. Apple usually rolls many security fixes into larger software updates. This time, the company moved faster.

AI IS NOW POWERING CYBERATTACKS, MICROSOFT WARNS

Apple pushed out security fixes early because AI can help hackers study software flaws faster. (Nikolas Kokovlis/NurPhoto via Getty Images)

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Why Apple released this AI security update early

Apple reportedly accelerated the updates because artificial intelligence can help speed the creation of malicious hacking tools. Once a fix appears in a beta, attackers may be able to study it, reverse-engineer the weakness and move faster than before.

Apple said there was no evidence that the newly patched vulnerabilities had been exploited. Still, the company wanted to shrink the time between when fixes were first visible and when they reached your devices.

That is a major shift. It suggests Apple sees AI as a force that changes the timing of security. A flaw that once gave defenders more breathing room may now become a race.

What Apple fixed in iOS 26.5.2

Apple’s iOS 26.5.2 and iPadOS 26.5.2 notes list fixes for iPhone 11 and later, along with several supported iPad models. The security content includes kernel vulnerabilities that could let an app crash the system, corrupt kernel memory or leak sensitive kernel state.

The update also fixes multiple WebKit issues. WebKit powers Safari and web content inside many apps. Some of these flaws involved malicious web content that could lead to crashes, memory corruption, data leaks or sandbox escapes.

Apple also fixed WebRTC issues that could be triggered by malicious web content and lead to Safari or process crashes.

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For Mac, Apple lists macOS Tahoe 26.5.2 as the current release. If your Mac runs macOS Sonoma or macOS Sequoia, Apple also lists Safari 26.5.2 as a June 29, 2026, security release.

A woman uses a smartphone outside an Apple Store on June 20, 2026, in Shenzhen, Guangdong Province, China. (Cheng Xin/Getty Images)

Why AI hacking tools change the security race

AI can help legitimate researchers find bugs faster. That is good when the work leads to stronger software and responsible disclosure. However, the same general capability can also help bad actors move faster. A criminal does not need to understand every line of code if an AI tool can help summarize a patch, compare software changes or suggest where a weakness may be hiding.

That is why Apple’s move is important. It shows that big tech companies may need to release security fixes sooner and more often, even when those updates do not include flashy new features. The wider AI world adds pressure here. Frontier AI companies have released or tested systems with stronger coding and cybersecurity capabilities. Some models are available only through limited previews, approved access or extra safeguards because of their potential cyber use.

Similar efforts are also emerging outside the United States. Several international AI labs and security companies now promote models designed to find vulnerabilities, analyze code and assist cyber defense. The takeaway for you isn’t that AI is automatically bad. The real point is speed. Security teams, attackers and AI tools are now moving on a shorter clock.

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How to update your iPhone or iPad

Before you update, plug in your device and connect to Wi-Fi. You may also want to back up your iPhone or iPad first.

Then do this: Open Settings > General > Software Update > Download and Install.

After the update finishes, go back to Settings > General > Software Update > Automatic Updates. Make sure automatic updates are turned on. Apple also lets your device automatically install system file updates that improve security without changing the full software version. If you do not see the update right away, check again later. Apple releases updates in stages, and your device also needs enough battery and storage.

How to update your Mac

On a Mac, start with a backup. Then click the Apple menu > System Settings > General > Software Update . Choose Update Now if macOS Tahoe 26.5.2 appears.

Next, check your background update settings. On macOS Tahoe 26 or later, go to Apple menu > System Settings > General > Software Update . Click the More Info button next to Automatic Updates and make sure Install system data files and security updates is turned on.

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If your Mac runs Sonoma or Sequoia, look for Safari 26.5.2 in Software Update as well. That Safari update may be the protection your Mac needs if you are not on Tahoe.

BEWARE OF HACKERS SHOWING UP PRETENDING TO BE IT

What this Apple security update means to you

You may see more security updates that feel sudden or small. That can be annoying, especially when you are busy or your device needs to restart.

Still, these updates are becoming more important. Apple is reacting to a world where AI can help shorten the time between a public fix and a possible attack.

So, when your iPhone, iPad or Mac asks you to update, do not treat it like background noise. The update may be closing a door someone else is already trying to find.

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Updating your iPhone, iPad and Mac helps close security holes before attackers get more time to exploit them. (Katharina Kausche/picture alliance via Getty Images)

How to stay safe after the Apple security update

Installing the Apple AI security update is the best first move. After that, tighten a few habits that make attacks harder.

1) Keep your apps updated

Your operating system is only part of the security picture. Outdated apps can still create risk, especially if they handle messages, web links, photos, files or account logins. Open the App Store and install available updates regularly.

2) Watch out for suspicious links

Be careful with links in texts, emails and social media messages. WebKit and browser flaws are a reminder that malicious web content can be part of an attack. When in doubt, open the official app or website yourself instead of tapping a link.

3) Use strong passwords and two-factor authentication

Use strong, unique passwords for every account and store them in a password manager. Then turn on two-factor authentication (2FA) wherever possible. If one password gets exposed, you do not want it opening the door to your email, bank or Apple account.

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4) Use strong antivirus protection

Use strong antivirus protection on your Mac and other connected devices. It can help catch malicious files, phishing attempts and suspicious activity before they do damage. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.

5) Back up your data regularly

Back up your iPhone, iPad and Mac before problems hit. A recent backup can help you recover faster if an update fails, your device gets stolen or malware locks you out of important files. CyberGuy’s guide to backing up your devices walks you through ways to protect your files using cloud storage, an external drive or both.

6) Use a personal data removal service

Use a personal data removal service to reduce how much of your personal information is floating around online. Data brokers and people-search sites can expose your name, address, phone number and relatives. Scammers can use those details to make phishing messages feel more believable. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.

Kurt’s key takeaways

Apple’s early security release shows how fast the cyber threat landscape is changing. The company says there is no evidence these newly patched flaws were exploited, but it still moved the fixes out before the wider 26.6 release. That tells me the old habit of waiting weeks to update is getting riskier. AI can help defenders, but it can also help criminals study weaknesses faster. My advice is direct: update your Apple devices now, turn on automatic security updates and stop putting off patches that protect the phone and computer you use every day.

Do you think AI will make your devices safer because companies can find flaws faster, or more vulnerable because hackers can move faster too? Let us know by writing to us at CyberGuy.com.

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Automatic updates, strong passwords and a personal data removal service can make you a harder target after the update. (Silas Stein/picture alliance via Getty Images)

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The robotaxi law that could ban Tesla

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The robotaxi law that could ban Tesla

For more than a decade, one question has loomed over the race to build autonomous vehicles: Are cameras alone enough to safely replace human drivers, or do truly driverless cars need additional, overlapping sensors like lidar and radar to navigate the world reliably? Tesla has bet billions of dollars that artificial intelligence and cameras are sufficient. Nearly every other major autonomous vehicle developer has gone the opposite direction.

Until now, that argument has largely been left to executives and engineers. New Jersey lawmakers are trying to settle it in state law.

A bill expected to come up for a vote later this year would require companies seeking to operate fully autonomous vehicles in New Jersey to use cameras plus two other sensing technologies, most commonly lidar and radar. If enacted, New Jersey would be the first state to codify such a hardware mandate into law, moving ahead of a nearly identical proposal currently pending action in neighboring New York. The measure would also effectively prevent Tesla’s camera-only Robotaxi system from operating in New Jersey unless the company changed its hardware.

”This is not anti-Tesla,” Democratic state Sen. Andrew Zwicker, the bill’s primary sponsor, told The Verge. “I’m pro-New Jersey safety.”

Zwicker, a physicist who works at the Princeton Plasma Physics Laboratory (New Jersey doesn’t restrict legislators from outside jobs), said after riding in a Waymo robotaxi in Phoenix he became convinced autonomous vehicles could transform transportation.

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”I was amazed how quickly you get used to it,” he said.

Waymo uses several lidar sensors, while Tesla relies exclusively on cameras.
Bloomberg via Getty Images and Bloomberg via Getty Images

The technology, he argues, could dramatically expand mobility, reduce traffic deaths, and make transportation more accessible. But he believes the technology should roll out cautiously in the nation’s most densely populated state.

”At this point, I don’t think the evidence is sufficient that a single sensor with software can handle situations that humans can,” Zwicker said. “Can we get there? Maybe. But we’re not there yet.”

The proposal would establish a three-year pilot program governing the testing and deployment of fully autonomous vehicles in New Jersey. Companies would have to use multiple sensing technologies, report certain crashes, and receive state authorization before operating fully driverless commercial services. They would also have to complete at least 50,000 miles of supervised testing in New Jersey without a major incident before removing the human safety driver.

While state battles over autonomous vehicles have largely centered on safety performance, oversight, and potential job losses, New Jersey is attempting something different: legislating how the vehicles themselves should be built.

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“At this point, I don’t think the evidence is sufficient that a single sensor with software can handle situations that humans can.”

— New Jersey state Sen. Andrew Zwicker

The sensor requirement is by far the bill’s most consequential provision and it would have repercussions beyond Tesla. Elon Musk has long argued that cameras paired with increasingly capable artificial intelligence are the best and most cost effective way to operate autonomous vehicles. Humans navigate the world using vision alone, Musk has said, so sufficiently advanced AI should eventually be able to do the same. Eliminating lidar and radar also dramatically lowers hardware costs, making it easier to build robotaxis cheaply enough to deploy at massive scale.

Musk has even argued that adding more sensors can reduce safety by forcing software to reconcile conflicting information.

”Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins?” he wrote on X last year. “We turned off the radars in Teslas to increase safety. Cameras ftw.”

Most of the rest of the autonomous vehicle industry disagrees. Companies including Waymo and Zoox combine cameras with lidar and radar, arguing that each sensing technology has different strengths and weaknesses. Cameras capture rich visual detail, allowing vehicles to recognize colors, traffic signs, lane markings, and pedestrians, but they can struggle in poor weather, darkness, or glare. Radar performs better in rain and fog and excels at measuring the distance and relative speed of nearby objects. Lidar uses lasers to create detailed three-dimensional maps of a vehicle’s surroundings, making it particularly effective at determining the shape and distance of nearby objects.

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Rather than relying on a single sensor, those companies combine the strengths of all three, arguing that redundancy makes autonomous driving safer. Philip Koopman, a Carnegie Mellon electrical and computer engineering professor and autonomous vehicle safety expert, said camera-only systems may eventually become capable enough for fully autonomous driving. But he doesn’t believe they are today.

As Koopman put it, “eyeballs are better than cameras for many reasons” and “human brains are fundamentally more powerful than AI because we understand.” While there are situations where Koopman said camera-only works just fine — clear weather, favorable lighting, and less complex roads — he believes it’s not ready for broad consumer use.

“To run 24/7 across the majority of public roads in New Jersey today, it needs lidar,” he said. “It’s pretty clear that today camera-only technology is not up to the challenge.”

Koopman supports the New Jersey proposal but said he would prefer even stronger safeguards, such as requiring conventional driving controls like steering wheels and pedals so first responders could move disabled vehicles (so no Cybercabs, which don’t have either), and limits on how many AVs can be on the road during the pilot (a potential provision Zwicker said he’s considering).

“It’s pretty clear that today camera-only technology is not up to the challenge.”

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— AV expert Philip Koopman

“The difference between 100 cars and 10,000 cars is night and day,” Koopman said. When the scale is small, “There’s just not enough cars for that much weird stuff to happen to them.” He pointed to Waymo, which now operates more than 3,500 commercial robotaxis across 11 US metro areas.

”They never used to have problems with floodwaters and school buses — not because they could do floodwaters and school buses,” Koopman said. “But with 100 cars it just doesn’t happen that often.”

Despite a lot of fanfare, Tesla currently only has a handful of unsupervised Robotaxis on the road, mostly in Texas, according to data from Robotaxi Tracker, suggesting it hasn’t been as easy to scale the camera-only approach as Musk had previously promised. Last year he predicted that Tesla would have hundreds of thousands of fully self-driving Teslas operating by the end of 2026. (Tesla did not respond to requests for comment for this article.)

Many of the bill’s provisions mirror recommendations from SAVE-US, a nonprofit that advocates for stricter autonomous vehicle regulation. Physicist and SAVE-US national campaign director Shua Sanchez said the group formed because Congress has failed to establish national rules while autonomous vehicle companies have expanded into states with dramatically different levels of oversight.

“California has the best safety regulations in the country,” he said. “Texas, Arizona, and Georgia have almost no state oversight.”

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Among the organization’s priorities is requiring redundant sensing systems.

“We don’t have a problem with Tesla as a company,” Sanchez said. “We have a problem with camera-only autonomous vehicles.”

Nearly every major stakeholder has sought changes to the bill. Waymo successfully pushed to remove a requirement that safety drivers remain in vehicles throughout the pilot, and Uber argued the state should continue requiring human drivers for most rides, according to Zwicker.

Tesla has been lobbying against the legislation in New Jersey, according to Zwicker, who said company representatives met with lawmakers to argue that advances in artificial intelligence make additional sensor types unnecessary. Zwicker said that while the tech has gotten better, “I’m not convinced yet that they’re ready to go.”

The debate has spilled beyond the state House.

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“As written, the legislation imposes restrictions so severely that Tesla’s autonomous vehicle technology couldn’t legally operate in New Jersey,” read a Tesla missive to New Jersey Tesla owners encouraging them to contact lawmakers. “Rather than prioritizing real safety outcomes and performance, the bill specifically bans Tesla from the New Jersey market.”

Zwicker said his office received roughly 4,000 emails within a day. “The messaging wasn’t about the details of the bill,” he said. “It was that Zwicker is trying to take away your Autopilot.”

“Rather than prioritizing real safety outcomes and performance, the bill specifically bans Tesla from the New Jersey market.”

— A Tesla message to NJ owners

Zwicker rejects that characterization. The legislation applies only to fully autonomous vehicles operating under the proposed state pilot program — not driver-assistance systems that require a licensed human driver to remain behind the wheel.

The fight in New Jersey reflects a broader vacuum in autonomous vehicle regulation. Congress has debated national autonomous vehicle legislation for years without passing a comprehensive framework, leaving states to develop their own rules as commercial robotaxi services expand. Robotaxi services already operate in states including California, Texas, Arizona, and Georgia under dramatically different regulatory systems. While California requires extensive testing permits and public reporting, it doesn’t specify which tech the AVs need to get there. Texas has adopted a far lighter-touch approach, which lets automakers self-certify that their autonomous vehicles are ready for the road.

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New Jersey’s bill raises the possibility that AV tech there could differ from that of other states. Zwicker says that isn’t his concern.

“The technology doesn’t exist in the Northeast at all,” he said. “The goal is to start now, do it safely, and build public trust.”

Sanchez sees the sensor requirement as a common-sense safeguard rather than a restriction on innovation.

“There are absolutely brilliant people working at Tesla trying to make camera-only autonomy work,” he said. “But they’re trying to do it with one arm tied behind their back.”

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