Technology
AI truck system matches top human drivers in massive safety showdown with perfect scores
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A new safety evaluation shows the Kodiak Driver, an autonomous system from Kodiak AI, tied for the top safety score among more than 1,000 commercial fleets run by human drivers. The evaluation came from Nauto, Inc., creator of the Visually Enhanced Risk Assessment, or VERA Score. This system uses AI to measure fleet safety on a scale of 1 to 100.
The Kodiak Driver earned a remarkable score of 98. That result placed it beside the safest human fleets in Nauto’s global network. The findings sparked discussion across the trucking industry and raised new questions about the role of automation in freight transport.
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WILL AUTONOMOUS TRUCKS REPLACE DRIVERS BY 2027?
The Kodiak Driver, an autonomous trucking system powered by AI, earned a top VERA Score of 98 in a new safety evaluation. (Kodiak)
Kodiak Driver’s autonomous truck safety evaluation results
Kodiak’s VERA Score of 98 matched the highest rating among all fleets evaluated. Fleets with Nauto’s safety technology average a score of 78, while those without the technology average only 63.
The Kodiak Driver achieved perfect scores of 100 in inattentive driving, high-risk driving and traffic violations. Its lowest score, 95, came in aggressive driving. The VERA Score combines over 20 vision-based AI variables into one clear safety rating.
Nauto found that every 10-point increase in VERA Score cuts collision risk by about 21%. A near-perfect score like Kodiak’s represents a strong improvement over typical human performance on the road.
The strong results didn’t come as a surprise to Kodiak’s leadership. Don Burnette, founder and CEO of Kodiak, told CyberGuy: “Achieving the top safety score among more than 1,000 commercial fleets in Nauto’s Visually Enhanced Risk Assessment (VERA Score®) proprietary safety benchmark is a testament to the Kodiak’s focus on safety. Safety is at the foundation of everything Kodiak builds. Our core value is ‘safety first and always.’ We believe independent safety evaluations like Nauto’s help to validate what we already know: the Kodiak Driver is already among the safest drivers on American highways. They also help to establish and build public awareness around how safe our technology truly is.”
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The growing impact of AI on truck driving safety
Nauto equipped the trucks with advanced monitoring and hazard detection systems. These tools track both the driving environment and vehicle behavior in real time. Removing human factors such as distraction, fatigue and delayed reaction directly improves safety.
Burnette said in a company statement that the system “is never drowsy, never drunk, and always paying attention.” That constant awareness allows the Kodiak Driver to operate defensively and predictably, two traits linked to safe driving.
The VERA Score also gives fleets a consistent way to measure safety. Companies can now shift from reacting to crashes to preventing them.
Federal Motor Carrier Safety Administration data support the trend. U.S. commercial truck crashes dropped from more than 124,000 in 2024 to roughly 104,000 this year. Fewer crashes mean fewer fatalities and safer highways overall.
Kodiak’s self-driving trucks combine AI vision and real-time data to reduce risky behavior and improve on-road performance. (Kodiak)
THE ROAD TO PROSPERITY WILL BE PAVED BY AUTONOMOUS TRUCKING
Concerns about autonomous truck safety
Not everyone is ready to hand over the wheel to artificial intelligence. Some industry experts point out that while systems like the Kodiak Driver perform well in controlled evaluations, real-world roads can still pose unpredictable challenges. Weather, human drivers and mechanical issues remain complex variables for autonomous systems to manage.
Others worry about the impact on jobs. As AI takes on more driving responsibilities, professional drivers wonder what the shift will mean for employment and pay across the trucking industry.
Safety advocates also call for clearer regulations and public transparency.
Even supporters of the technology agree that continued oversight, testing and gradual rollout are essential. Progress is promising, but trust takes time.
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What this means for you
If you work in logistics, fleet management or transportation tech, this news hits close to home. The Kodiak Driver’s near-perfect score proves that autonomous systems aren’t just catching up to human drivers; they’re starting to edge ahead in safety.
Businesses could see big gains. AI-powered safety tools help cut liability, lower costs and keep fleets running smoothly. The technology doesn’t need rest breaks or reminders to stay focused, which makes every mile more efficient.
Regulators are also paying attention. Verified data like this builds trust and clears the way for safer, wider use of autonomous trucks. It’s proof that technology can deliver real-world safety, not just promise it.
Drivers on everyday roads benefit too. Fewer crashes mean safer highways and more reliable deliveries. When trucks drive smarter, everyone shares the reward. Human drivers aren’t going anywhere soon, but AI is quickly becoming their most reliable partner. It helps prevent fatigue, distraction and those risky split-second decisions that lead to trouble.
AI-driven fleets are proving that technology and human expertise can work together to make highways safer for everyone. (PlusAI)
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Kurt’s key takeaways
This study marks a major step in redefining what safe driving means. An autonomous system equaling the best human fleets signals that automation is moving from theory to reality. Still, the shift raises questions. How soon will public trust catch up with technology? Can regulations evolve fast enough to support widespread adoption? Will drivers adapt to sharing the road with machines that never tire or lose focus? What remains certain is that safety innovation is transforming transportation. Autonomous systems like the Kodiak Driver are proving that technology and safety can move forward together.
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So here’s something to think about: If AI-driven trucks already match the safest human fleets, are we ready to let them take the wheel on our highways? Let us know by writing to us at Cyberguy.com.
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Technology
Skylight’s 15-inch smart calendar is down to its lowest price to date
When you’re juggling more than just your own calendar, staying organized can be overwhelming. Fortunately, the Skylight Calendar 2 can help simplify things by syncing multiple calendars in a single spot, and now through May 7th, it’s available directly from Skylight for $259.99 ($40 off), its best price to date.
Skylight’s 15-inch smart calendar improves upon the original with a brighter screen, faster performance, and a slimmer design with swappable magnetic frames. Otherwise, though, it offers the same core experience, making it easy for the whole family to see events at a glance, whether you mount it on a wall or place it on a kitchen counter using the included adjustable stand. It automatically syncs with Google, Apple, Yahoo, Outlook, and Cozi calendars, pulling them into a single shared space that updates automatically. Each household member gets their own color, too, so it’s easy to keep track of who’s doing what.
In addition to event planning, the Calendar 2 makes it easier to arrange and assign other day-to-day tasks. You can create and manage shared chore charts, grocery lists, and to-do lists directly on the touchscreen device or through the mobile app for Android and iOS, which makes it easy for everyone in your household to stay on track and contribute. Skylight also provides detailed weather forecasts for your events, so you know what to expect before heading out.
If you subscribe to Skylight’s Calendar Plus plan, the Calendar 2 takes even more of the work off your plate. You can forward emails, upload PDFs, or snap photos of flyers and automatically turn them into calendar events. You also get meal planning tools that let you plan breakfast, lunch, dinner, and snacks for the week, as well as the ability to assign chores and reward kids for completing them. Plus, just for fun, there’s a screensaver mode that turns the display into an ad hoc digital photo frame when it’s not actively being used as a calendar.
Technology
Anthropic’s Mythos AI found over 2,000 unknown software vulnerabilities in just seven weeks of testing
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There is a new AI model called Mythos. Anthropic built it for defensive cybersecurity research. It is so effective at finding software vulnerabilities that Anthropic decided the general public cannot have it.
Instead, it is letting a small circle of trusted partners like Microsoft and Google experiment with it first under controlled conditions, while researchers figure out what guardrails need to exist.
That decision alone should tell you something. When the company that built a tool decides the world is not ready for it, you pay attention. And when you understand what Mythos actually did during testing, that caution starts to make complete sense.
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Anthropic’s Mythos AI uncovered more than 2,000 unknown software vulnerabilities in just seven weeks, showing how fast AI can now expose hidden weaknesses. (Gabby Jones/Bloomberg via Getty Images)
How Anthropic’s Mythos AI found 2,000 vulnerabilities in seven weeks
Seven weeks. One AI model. One team. More than 2,000 previously unknown software vulnerabilities were found. If you need a moment with that, take it. John Ackerly, CEO and co-founder of Virtru, a data security company, put that figure into perspective in a way that is hard to shake.
“Mythos is absolutely a turning point for cybersecurity. Think about it. Mythos didn’t pick a lock; it found thousands of locks that were never locked in the first place (that no one even knew existed) in software that the best human security researchers had studied for decades.
The math is staggering. One AI model, and one team, in seven weeks, found more than 2,000 zero-day vulnerabilities. That is 30% of the world’s entire annual output prior to AI. When thousands of researchers get access to AI models like Mythos, a single year will surface exponentially more zero-days than the 360,000 recorded in all of software history.
Mythos and other AI models like it can now find and exploit software flaws at a speed and scale that is beyond containment. This means that the old approach of building stronger walls around systems and hoping they hold is becoming much less reliable. It also means that the manual “find a vulnerability, patch the vulnerability” process is not going to keep pace with a threat landscape bolstered by the speed and scale of AI.
The threat surface is now expanding faster than any wall can contain it. The only answer to this new dynamic is to protect the data itself, rather than prop up perimeter protection around it.
Thirty percent of the world’s annual output in seven weeks changes the game entirely.
What makes Mythos AI different from other AI security tools
Cybersecurity teams have used AI tools for years. So, what makes this different?
Ackerly explains it this way: “What makes this different is the level of autonomy and speed it enables. Mythos is being described as a system that can discover vulnerabilities and even generate working exploits much faster than traditional human-led workflows. This model could make it easy for a bad actor to identify and exploit vulnerabilities in software, even if that bad actor isn’t knowledgeable or trained.”
That last part matters most. Before a tool like this, exploiting a serious software vulnerability required real technical skill. Mythos AI lowers that barrier significantly. A person with bad intentions and no technical background could potentially use a model like this to cause serious damage. The expertise gap that once offered some natural protection is closing.
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Security experts warn that tools like Mythos could shrink the time it takes to find and exploit flaws from weeks down to minutes. (Patrick Sison/AP Photo)
Why Anthropic’s Mythos AI is breaking down perimeter security
Most cybersecurity spending, the overwhelming majority of it, goes toward what experts call perimeter defense. Think firewalls, network monitoring, endpoint security and intrusion detection. The entire strategy is built on one core idea of keeping the bad actors out, and the data inside stays safe.
Ackerly describes how that model is now breaking down.
“The perimeter is the digital wall around your systems and the information you possess. For decades, cyber strategies have primarily focused on the idea that if you protected the perimeter well enough — if you built a strong enough wall — the sensitive data on the inside would stay safe,” Ackerly said.
“The industry has poured hundreds of billions of dollars into firewalls, endpoint detection, network security, application security and other perimeter defenses. Traditional security architecture by itself cannot keep pace in this new world.
“The Mythos development from Anthropic is making a hard truth very apparent: Time is running out for companies to prepare for this new reality. Shifting focus from ‘protecting the perimeter’ to ‘protecting the data’ is critically important to mitigate data loss or compromise.”
Hundreds of billions of dollars. And now the model those dollars were built on is becoming unreliable. It forces a full rethink.
Does Anthropic’s Mythos AI give attackers the advantage?
This is the question everyone wants a straight answer to. Ackerly offers one that is more nuanced than a simple yes or no.
“I wouldn’t frame it as attackers automatically having an advantage. But, over time, it does mean that ‘bad guys’ and ‘good guys’ will have access to essentially the same tools. As a result, I do think defenders absolutely need a different strategy. If you assume the outer wall may fail, then the smarter move is to protect the data itself so it stays controlled even after a breach.”
The playing field is leveling. And that may sound fair until you remember attackers only need to succeed once, while defenders have to succeed every time.
How fast is Mythos AI changing the cybersecurity threat landscape?
Speed is what makes Mythos AI genuinely alarming. Traditional cyberattacks move through a lifecycle. Reconnaissance takes time. Finding the right vulnerability takes more time. Building an exploit takes more time on top of that.
Ackerly explains what happens when AI compresses all of that.
“AI is accelerating the threat. A model that can find and exploit vulnerabilities autonomously compresses the attack lifecycle from weeks to hours, or even minutes. Every layer of the traditional security stack now has to operate at machine speed. Manual security architectures cannot keep up.
“But AI also makes data-centric security more powerful, not less so. When every piece of sensitive data is protected at the object-level, AI agents can enforce governance at scale by checking entitlements, applying attribute-based access controls, and auditing data flows in real time. The same capabilities that make Mythos a dangerous tool in the hands of ‘bad guys’ make it a valuable tool in the hands of ‘good guys.’”
The question organizations should be asking shifts from “how do I build higher walls?” to “when the walls fail, is my data still protected?” That is the question worth sitting with.
What Mythos AI means for regular people’s personal data
Most of the Mythos coverage has focused on corporate risk. But your bank account and medical records sit in those same vulnerable systems.
“For everyday people, the first change is that breaches and scams could become more frequent, more targeted, and harder to spot. If AI makes it easier to uncover weak points in the systems we all rely on, that can translate into more pressure on the services that hold our personal data, from email and cloud storage to health, banking, and retail platforms.
Consumers shouldn’t assume a company is doing the right thing with their data. Now, they really can’t assume a company’s outer defenses are enough to protect their information.
This also highlights the importance of basic cyber hygiene like unique passwords and MFA, so that when breaches happen, the scope of impact on your own personal data is contained.”
Your bank account, your medical records, your tax documents, your private messages. All of it already lives across dozens of platforms you trust to protect it. If those platforms’ outer defenses are no longer reliable, what exactly is standing between your data and someone who wants it?
Ackerly goes further on where the exposure actually lives. “Data now travels across clouds, devices, partners, and borders. The risk isn’t just one hacked server in one building anymore. It’s all the places your data passes through or gets copied to along the way.
Was Anthropic right to keep Mythos AI restricted?
Anthropic made a choice that is rare in the AI industry. They built something powerful and then decided not to release it widely.
On that decision, Ackerly is direct. “Anthropic’s decision to withhold Mythos from general release is unprecedented and, frankly, responsible. Time will tell what these partners are able to do with regard to safety, but releasing it to the general public would certainly have been ill-advised and dangerous.”
Unprecedented. That word deserves weight here. In an industry that races to release new tech, Anthropic stopped. That speaks volumes.
We reached out to Anthropic for a comment, but did not hear back before our deadline.
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As AI accelerates cyberattacks, the focus is shifting from protecting networks to protecting the data itself. (Kury “CyberGuy” Knutsson)
How to stay safe as cybersecurity shifts
The perimeter model is deteriorating, but that does not mean you are helpless. Individual behavior still matters, and it matters more now than it did before.
Ackerly’s recommendation is this: “Stop assuming the app, platform, or company perimeter can always protect your information, or that they will do the right thing with your data. People should be much more deliberate about what data they share, where they store it, and who can access it. Protection needs to travel with the data, not just sit at the edge of a network. For you, that means choosing services that give you stronger control over your information and being more cautious about oversharing sensitive data in the first place. The data owner should always have governance over said data.” So where do you start?
1) Use unique passwords for every account
A password manager makes this realistic. If one platform gets breached, unique passwords keep the damage isolated to that one account.
2) Turn on multi-factor authentication wherever it is available
Multi-factor authentication (MFA) adds a layer that survives even when a password is compromised. It is one of the highest-impact steps an individual can take.
3) Run strong antivirus software and keep devices updated
Outdated software is one of the most common entry points attackers use. Strong antivirus software catches threats your instincts might miss, and keeping apps and operating systems current closes the gaps that models like Mythos are built to find. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com
4) Be selective about what you share and where
Every app that holds your data is a potential exposure point. The less you overshare, the smaller your footprint becomes.
5) Use a data removal service
Data brokers collect and sell your personal information, often without you ever knowing. Data removal services find where your data is listed and request its removal. You cannot control every place your information travels, but you can shrink the trail it leaves behind. 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
6) Choose services that offer real data control
Not all platforms treat your data the same way. Look for services that let you see, manage and limit how your information is used and where it goes.
7) Monitor your accounts and credit
Catching a breach early limits the damage significantly. Set up account alerts wherever your bank or financial platform allows it. A credit freeze costs nothing and stops new accounts from being opened in your name without your knowledge.
8) Stay skeptical of phishing attempts
Ackerly warned that scams will get more targeted and harder to spot as AI lowers the barrier for bad actors. Scrutinize every link before you click it and treat unexpected emails or texts asking for login information as suspicious by default. If something feels off, it probably is.
9) Assume breaches will happen
The goal is to limit how much damage they can do. When you operate with that assumption, your decisions about data hygiene get sharper, and your exposure gets smaller.
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Kurt’s key takeaways
Mythos did not create the vulnerability problem. It made the scale of it visible in a way that is no longer ignorable. The foundation of modern cybersecurity, the idea that strong enough walls will keep data safe, is being tested in real time by a technology that moves faster than any human team can. That is a consumer story as much as it is a corporate one. Your data lives in systems built on that old model.
And the moment to think differently about how it is protected is now, not after the next major breach makes the headlines. Anthropic made a responsible call by limiting access to Mythos. But the model exists. The capability is real. Other versions of it are being developed. The question for every organization and every individual becomes the same one Ackerly keeps returning to.
When the walls fail, and experts are telling us they will, what is actually protecting your data on the other side? Let us know your thoughts by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Trump fires the entire National Science Board
Multiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.
In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:
“This is the latest stupid move made by a president who continues to harm science and American innovation. The NSB is apolitical. It advises the president on the future of NSF. It unfortunately is no surprise a president who has attacked NSF from day one would seek to destroy the board that helps guide the Foundation. Will the president fill the NSB with MAGA loyalists who won’t stand up to him as he hands over our leadership in science to our adversaries? A real bozo the clown move.”
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