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

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.
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.
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.

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?
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.
Technology
Here’s your first look at Kratos in Amazon’s God of War show
Amazon has slowly been teasing out casting details for its live-action adaptation of God of War, and now we have our first look at the show. It’s a single image but a notable one showing protagonist Kratos and his son Atreus. The characters are played by Ryan Hurst and Callum Vinson, respectively, and they look relatively close to their video game counterparts.
There aren’t a lot of other details about the show just yet, but this is Amazon’s official description:
The God of War series storyline follows father and son Kratos and Atreus as they embark on a journey to spread the ashes of their wife and mother, Faye. Through their adventures, Kratos tries to teach his son to be a better god, while Atreus tries to teach his father how to be a better human.
That sounds a lot like the recent soft reboot of the franchise, which started with 2018’s God of War and continued through Ragnarök in 2022. For the Amazon series, Ronald D. Moore, best-known for his work on For All Mankind and Battlestar Galactica, will serve as showrunner. The rest of the cast includes: Mandy Patinkin (Odin), Ed Skrein (Baldur), Max Parker (Heimdall), Ólafur Darri Ólafsson (Thor), Teresa Palmer (Sif), Alastair Duncan (Mimir), Jeff Gulka (Sindri), and Danny Woodburn (Brok).
While production is underway on the God of War series, there’s no word on when it might start streaming.
Technology
300,000 Chrome users hit by fake AI extensions
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Your web browser may feel like a safe place, especially when you install helpful tools that promise to make your life easier. But security researchers have uncovered a dangerous campaign in which more than 300,000 people installed Chrome extensions pretending to be artificial intelligence (AI) assistants. Instead of helping, these fake tools secretly collect sensitive information like your emails, passwords and browsing activity.
They used familiar names like ChatGPT, Gemini and AI Assistant. If you use Chrome and have installed any AI-related extension, your personal information may already be exposed. Even worse, some of these malicious extensions are still available today, putting more people at risk without their knowing.
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More than 300,000 Chrome users installed fake AI extensions that secretly harvested sensitive data. (Kurt “CyberGuy” Knutsson)
What you need to know about fake AI extensions
Security researchers at browser security company LayerX discovered a large campaign involving 30 malicious Chrome extensions disguised as AI-powered assistants (via BleepingComputer). Together, these extensions were installed more than 300,000 times by unsuspecting users.
Some of the most popular extensions included names like AI Sidebar with 70,000 users, AI Assistant with 60,000 users, ChatGPT Translate with 30,000 users, and Google Gemini with 10,000 users. Another extension called Gemini AI Sidebar had 80,000 users before it was removed.
These extensions were distributed through the official Chrome Web Store, which made them appear legitimate and trustworthy. Even more concerning, researchers found that many of these extensions were connected to the same malicious server, showing they were part of a coordinated effort.
While some extensions have since been removed, others remain available. This means new users could still unknowingly install them and expose their personal data. Here’s the list of the affected extensions:
- AI Assistant
- Llama
- Gemini AI Sidebar
- AI Sidebar
- ChatGPT Sidebar
- Grok
- Asking ChatGPT
- ChatGBT
- Chat Bot GPT
- Grok Chatbot
- Chat With Gemini
- XAI
- Google Gemini
- Ask Gemini
- AI Letter Generator
- AI Message Generator
- AI Translator
- AI For Translation
- AI Cover Letter Generator
- AI Image Generator ChatGPT
- Ai Wallpaper Generator
- Ai Picture Generator
- DeepSeek Download
- AI Email Writer
- Email Generator AI
- DeepSeek Chat
- ChatGPT Picture Generator
- ChatGPT Translate
- AI GPT
- ChatGPT Translation
- ChatGPT for Gmail
FAKE AI CHAT RESULTS ARE SPREADING DANGEROUS MAC MALWARE
These malicious tools were listed in the official Chrome Web Store, making them appear legitimate and trustworthy. (LayerX)
How the fake AI Chrome extension attack works
These fake extensions pretend to offer helpful AI features, such as translating text, summarizing emails, or acting as an AI assistant. But behind the scenes, they quietly monitor what you are doing online.
Once installed, the extension gains permission to view and interact with the websites you visit. This allows it to read the contents of web pages, including login screens where you enter your username and password.
In some cases, the extensions specifically targeted Gmail. They could read your email messages directly from your browser, including emails you received and even drafts you were still writing. This means attackers could access private conversations, financial information and sensitive personal details.
The extensions then sent this information to servers controlled by the attackers. Because they loaded content remotely, the attackers could change their behavior at any time without needing to update the extension.
Some versions could also activate voice features through your browser. This could potentially capture spoken conversations near your device and send transcripts back to the attackers.
If you installed one of these extensions, attackers may already have access to extremely sensitive information. This includes your email content, login credentials, browsing habits and possibly even voice recordings.
We reached out to Google for comment, and a spokesperson told CyberGuy that the company “can confirm that the extensions from this report have all been removed from the Google Web Store.”
BROWSER EXTENSION MALWARE INFECTED 8.8M USERS IN DARKSPECTRE ATTACK
Once installed, the extensions could read emails, capture passwords, monitor browsing activity and send the data to attacker-controlled servers. (Bildquelle/ullstein bild via Getty Images)
7 ways you can protect yourself from malicious Chrome extensions
If you have ever installed an AI-related Chrome extension, taking a few simple precautions now can help protect your accounts and prevent further damage.
1) Remove any suspicious or unused browser extensions
On a Windows PC or Mac, open Chrome and type chrome://extensions into the address bar. Review every extension listed. If you see anything unfamiliar, especially AI assistants you don’t remember installing, click “Remove” immediately. Malicious extensions depend on going unnoticed. Removing them stops further data collection and cuts off the attacker’s access to your information.
2) Change your passwords
If you installed any suspicious extension, assume your passwords may be compromised. Start by changing your email password first, since email controls access to most other accounts. Then update passwords for banking, shopping and social media accounts. This prevents attackers from using stolen credentials to break into your accounts.
3) Use a password manager to create and protect strong passwords
A password manager generates unique, complex passwords for each account and stores them securely. This prevents attackers from accessing multiple accounts if one password is stolen. Password managers also alert you if your login credentials appear in known data breaches, helping you respond quickly and protect your identity. Check out the best expert-reviewed password managers of 2026 at Cyberguy.com.
4) Install strong antivirus software and keep it active
Good antivirus software can detect malicious browser extensions, spyware, and other hidden threats. It scans your system for suspicious activity and blocks harmful programs before they can steal your information. This adds an important layer of protection that works continuously in the background to keep your device safe. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com.
5) Use an identity theft protection service
Identity theft protection services monitor your personal data, including email addresses, financial accounts, and Social Security numbers, for signs of misuse. If criminals try to open accounts or commit fraud using your information, you receive alerts quickly. Early detection allows you to act fast and limit financial and personal damage. See my tips and best picks on how to protect yourself from identity theft at Cyberguy.com.
6) Keep your browser and computer fully updated
Software updates fix security vulnerabilities that attackers exploit. Enable automatic updates for Chrome and your operating system so you always have the latest protections. These updates strengthen your defenses against malicious extensions and prevent attackers from taking advantage of known weaknesses.
7) Use a personal data removal service
Personal data removal services scan data broker websites that collect and sell your personal information. They help remove your data from these sites, reducing what attackers can find and use against you. Less exposed information means fewer opportunities for criminals to target you with scams, identity theft or phishing attacks.
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.
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.
Kurt’s key takeaway
Even tools designed to make your life easier can become tools for cybercriminals. Malicious extensions often hide behind trusted names and convincing features, making them difficult to spot. You can significantly reduce your risk by reviewing your browser extensions regularly, removing anything suspicious and using protective tools like password managers and strong antivirus software.
Have you checked your browser extensions recently? Let us know your thoughts by writing to us at Cyberguy.com.
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Technology
Anthropic refuses Pentagon’s new terms, standing firm on lethal autonomous weapons and mass surveillance
Less than 24 hours before the deadline in an ultimatum issued by the Pentagon, Anthropic has refused the Department of Defense’s demands for unrestricted access to its AI.
It’s the culmination of a dramatic exchange of public statements, social media posts, and behind-the-scenes negotiations, coming down to Defense Secretary Pete Hegseth’s desire to renegotiate all AI labs’ current contracts with the military. But Anthropic, so far, has refused to back down from its two current red lines: no mass surveillance of Americans, and no lethal autonomous weapons (or weapons with license to kill targets with no human oversight whatsoever). OpenAI and xAI had reportedly already agreed to the new terms, while Anthropic’s refusal had led to CEO Dario Amodei being summoned to the White House this week for a meeting with Hegseth himself, in which the Secretary reportedly issued an ultimatum to the CEO to back down by the end of business day on Friday or else.
In a statement late Thursday, Amodei wrote, “I believe deeply in the existential importance of using AI to defend the United States and other democracies, and to defeat our autocratic adversaries. Anthropic has therefore worked proactively to deploy our models to the Department of War and the intelligence community.”
He added that the company has “never raised objections to particular military operations nor attempted to limit use of our technology in an ad hoc manner” but that in a “narrow set of cases, we believe AI can undermine, rather than defend, democratic values” — going on to specifically mention mass domestic surveillance and fully autonomous weapons. (Amodei mentioned that “partial autonomous weapons … are vital to the defense of democracy” and that fully autonomous weapons may eventually “prove critical for our national defense,” but that “today, frontier AI systems are simply not reliable enough to power fully autonomous weapons.” He did not rule out Anthropic acquiescing to the military’s use of fully autonomous weapons in the future but mentioned that they were not ready now.)
The Pentagon had already reportedly asked major defense contractors to assess their dependence on Anthropic’s Claude, which could be seen as the first step to designating the company a “supply chain risk” – a public threat that the Pentagon had made recently (and a classification usually reserved for threats to national security). The Pentagon was also reportedly considering invoking the Defense Production Act to make Anthropic comply.
Amodei wrote in his statement that the Pentagon’s “threats do not change our position: we cannot in good conscience accede to their request.” He also wrote that “should the Department choose to offboard Anthropic, we will work to enable a smooth transition to another provider, avoiding any disruption to ongoing military planning, operations, or other critical missions. Our models will be available on the expansive terms we have proposed for as long as required.”
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