TL;DR
Depthfirst’s AI agent found 21 FFmpeg zero-days for $1,000. Chrome 149 patched a record 429 bugs. AI is flooding defenders with more bugs than they can handle.
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The company’s new T-Create Expert P35SG is an external SSD that can effectively destroy itself on command. Unlike earlier concepts that relied on physical triggers, this version works remotely. The drive uses a 4G LTE connection, allowing users to access it even when it is not plugged into a computer…
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Nearly two centuries have passed since a mechanical grass cutting device was first patented, and here’s what the first lawn mower looked like. The lawn care market in the U.S. hit 57.77 billion in 2024 with estimates showing a sizable increase into the next decade. Meaning, the familiar hum of small engines across American suburbs every weekend will continue to rise.
While homeowners across the country take pride in their well-manicured lawns, it’s important to remember to exercise caution around these machines. Unfortunately, one misstep around a lawn mower could land you or someone else in the hospital. In fact, per a Lawn Starter study from 2024, 90 people die annually in riding mower related incidents, far outpacing fatalities from bears, sharks and snake bites combined.
Some hazards include using the wrong type of mower for your property, being careless around the spinning blades, failing to collect loose items from your lawn prior to mowing, and blowing clippings onto the road. While some of these blunders seem obvious, there may be some you haven’t considered.
If you’re not familiar with landscaping equipment such as the difference between a zero turn vs. riding mower, you might conclude one option is just as good as the next. Unfortunately, the wrong type of machine could put you in danger, depending on the topography of your yard.
For instance, a zero-turn mower doesn’t perform as well on slopes. The maximum uphill angle you should navigate on a zero turn is 10 – 15 degrees. Anything greater and the front wheels can pop up, you can begin losing traction and sliding, or even tip over. Residential zero-turns can easily weigh well over 600 pounds, making a rollover accident potentially deadly.
If your lawn is hilly, you’d be much better off opting for a lawn tractor. These units can be more stable on inclines as the engine sits directly over the front wheels and the deck is mounted in the middle under the seat. A lawn tractor can typically handle slopes up to 20 degrees, making it a much safer choice for some. Although, you should always maintain a mowing path that takes you straight up and down a slope. Both zero-turns and lawn tractors alike can tip if navigating a hill at an angle.
Blades are the most obvious hazard posed by a lawn mower. These hunks of metal rotate up to 3,600 RPM underneath the deck and can certainly lead to serious injury if an operator or bystander get too close. Putting things into perspective, according to the American Academy of Orthopaedic Surgeons, the force imparted from a spinning mower blade can be compared to a .357 Magnum pistol firing a round into your hand, to say nothing about its ability to sever fingers or toes.
Often this happens due to careless actions. There are modern safety features which automatically turn off the machine when lifting off the operator seat of a zero-turn mower or lawn tractor. Push-behind mowers usually have a similar kill switch when you let go of the handle. That’s being said, these kill switches aren’t foolproof. It’s vital to always turn off the blades before getting anywhere near the ground around the cutting deck of your mower.
One of the ways to mitigate risk while mowing, is to briefly walk around your property looking for anything that might interfere with the mower’s job. This can include toys, fallen branches, rocks or any other debris that might get in the way. This serves multiple safety-related purposes.
First, things like rocks can damage your mower blades, creating chips, bends and curls. While a dull blade isn’t good for your grass, the consequences go deeper. Following contact, a blade can become weaker structurally, leading to parts of it potentially flying off at the time of impact or after. Metal shards becoming projectiles are clearly a hazard to both the operator and those in the immediate area. Even if a piece lands harmlessly on the ground, you’re still dealing with metal pieces strewn about your yard. Also, a bent or broken blade can easily be off balance which increases stress throughout the machine.
Even if the blade doesn’t suffer damage as a result of hitting debris, the debris itself becoming a projectile is still a significant concern. According to Mississippi State University, a mower can propel loose items in your grass at speeds as high as 200 mph. Most mowers are equipped with a cover over the discharge to help prevent projectiles from traveling farther. Regardless, it’s recommended to keep other people away from the immediate area while the mower is in operation.
It might seem harmless, but if you’re not bagging your grass, you should never coat your neighborhood road in clippings. Loose pieces of grass create a traction nightmare for two-wheeled vehicles like motorcycles or bicycles, especially on a corner. It’s even more dire if the clipping’s become wet, as it can be equivalent to an ice patch. It’s not only a perilous situation for motor bikes, but it’s also illegal in some areas of the country. For example, in the state of Virginia it’s considered a Class 1 misdemeanor.
Fortunately, there are some easy solutions to this issue, even if your lawn grows directly adjacent to the road. You can equip your mower with a bag to collect the clippings or install a mulch kit. Often, a mulch setup blocks the side chute, keeping the clippings under the deck to be cut multiple times and reduced in size. Regular deck cleaning is essential, otherwise wet build-up can cause a frustrating situation for your lawn mower.
Even without a bag or mulch kit, you can mow in a pattern that points the chute away from the road. This distributes the clippings back onto your lawn instead, making it safer for everyone.
No no no, we are not sad. *slumps in the corner crying*
Microsoft is officially shutting down Collections, one of the more unique productivity features inside the Edge browser, and many users believe the move reflects the company’s growing obsession with AI-first experiences.
According to Microsoft’s support documentation, Collections in Edge is being discontinued beginning June 2026. The feature allowed users to save groups of webpages, images, notes, shopping links, and research material into organized visual boards directly inside the browser. For students, researchers, online shoppers, and multitaskers, Collections became one of Edge’s most practical hidden tools – and one of the few browser features that genuinely stood apart from Chrome and Safari.
Collections first launched as a productivity-focused tool that blended bookmarking, note-taking, and visual organization into a single interface. Unlike traditional bookmarks, users could drag webpages, screenshots, text snippets, and images into categorized boards that synced across devices. It became especially popular for planning trips, organizing research projects, comparing products, and saving inspiration from across the web.
Now, Microsoft appears ready to move on.
The removal of Collections arrives as Microsoft aggressively transforms Edge into a platform centered around Copilot and generative AI features. Over the past two years, the company has integrated AI-powered assistants into nearly every part of Edge, from sidebar chat tools and webpage summarization to writing assistance and contextual search.
Critics argue that Collections represented a genuinely useful feature focused on human productivity rather than AI automation. Unlike some newer AI additions that users may ignore entirely, Collections solved a simple but common problem: organizing information gathered across the web without relying on third-party apps like Notion, Pinterest, or Pocket.

We at Digital Trends previously described the feature as one of the browser’s best hidden tools, particularly because it offered a more visual and intuitive alternative to cluttered bookmark folders. Users could quickly collect shopping comparisons, project research, recipes, or reading material into organized workspaces without leaving the browser.
Microsoft has not directly stated that AI features are replacing Collections, but the timing has fueled criticism that practical browser tools are increasingly being sacrificed to make room for AI-centric experiences and interface redesigns.
The broader concern extends beyond Edge itself. Across the tech industry, companies are rapidly reshaping products around generative AI, sometimes at the expense of smaller features users genuinely rely on every day.
For longtime Edge users, the shutdown represents the loss of one of the browser’s clearest identity features. While Chrome dominates browser market share, Edge often differentiates itself through smaller quality-of-life tools like vertical tabs, sleeping tabs, and Collections.
The removal could particularly frustrate users who built workflows around the feature for productivity, shopping research, or creative organization. Microsoft has not yet introduced a direct replacement that replicates the same visual organizational experience.

At the same time, the decision signals how seriously Microsoft is prioritizing AI integration across Windows and Edge. The company increasingly sees Copilot as the centerpiece of its software ecosystem, and browser development now appears heavily focused on AI-assisted experiences rather than traditional productivity utilities.
For some users, that future may sound exciting. For others, it may feel like another example of useful software features quietly disappearing in favor of AI tools they never asked for.
Depthfirst’s AI agent found 21 FFmpeg zero-days for $1,000. Chrome 149 patched a record 429 bugs. AI is flooding defenders with more bugs than they can handle.
A security startup’s autonomous AI agent found 21 previously unknown vulnerabilities in FFmpeg, the open-source media library embedded in almost everything that touches video. The startup, depthfirst, says the run cost roughly $1,000 in compute. Some of the bugs had been hiding in the codebase for more than 20 years.
Days later, Google shipped Chrome 149 with patches for 429 security bugs, the most ever in a single browser release. Over 100 are critical or high severity. The two events arrived independently, but they point in the same direction: AI is finding vulnerabilities faster than humans can fix them.
Depthfirst’s agent scanned FFmpeg’s roughly 1.5 million lines of C and produced a reproducible proof-of-concept for each of the 21 zero-days. Most are heap or stack overflows in parsers and demuxers, spanning components from the TS demuxer to the VP9 decoder. One stack overflow in the service-description-table code dates to 2003.
Nine already carry CVE identifiers (CVE-2026-39210 through CVE-2026-39218). The rest have been fixed upstream but not yet numbered. Depthfirst has published proof-of-concept code.
FFmpeg is not new to AI-driven bug hunting. Google’s Big Sleep agent reported a run of FFmpeg bugs last year. Anthropic’s Mythos model pulled a 16-year-old H.264 flaw and others out of FFmpeg for about $10,000. Depthfirst claims to have done comparable work at a tenth of the cost.
Chrome 149’s record haul is a different story. Google has not attributed the 429 vulnerabilities to AI. But the company overhauled its bug bounty programme in April after a flood of AI-generated submissions, now asking researchers for concise reproducers instead of the long writeups AI tends to produce.
The worst bug, CVE-2026-10881, scores 9.6 on the CVSS scale. It is an out-of-bounds read and write in the ANGLE graphics engine that lets a crafted page escape Chrome’s sandbox and run code on the host. Google paid $97,000 for the report. Of the 22 critical bugs, 19 were found internally.
The pattern keeps repeating. An autonomous tool recently found an authenticated remote code execution flaw in Redis that had gone unnoticed for over two years. A February study showed an AI agent could reproduce working exploits for more than half of 100 real Linux kernel bugs, beating traditional fuzzing.
The hard problem is shifting. Finding these bugs has become cheap. Triaging the reports, shipping the fixes, and getting them installed has not. Much of that work still falls on volunteers and a thin layer of human triagers now expected to keep pace with machines. Mozilla patched 271 Firefox vulnerabilities found by Mythos in a single pass. The question is no longer whether AI can find the bugs. It is whether anyone can fix them fast enough.
The University of California at Berkeley discovered the percentage of failing grades in multiple CS classes this spring “is significantly higher than past semesters,” reports the campus’s student newspaper.
“Instructors point to students’ increased reliance on AI, lack of mathematical preparedness and understaffing as potential contributing factors.”
According to [coursework platform] Berkeleytime, 35.3% of CS 10 students and 10.6% of CS 61A students received F’s in spring 2026. In spring 2025 and spring 2024, the percentage of F’s did not exceed 10% for either class. The electrical engineering and computer sciences department’s grading guidelines state that 7% of students in lower division courses, including CS 10 and CS 61A, should receive D’s and F’s…
[UC Berkeley teaching professor Dan Garcia, who taught both classes] believes the “primary driver” of these abnormally high failing rates is due to a “vast increase in academic dishonesty” due to students’ usage of large language models, such as Claude, ChatGPT and Google Gemini. “Some of the numbers that you saw from the number of students who receive failing grades were because we caught them (cheating) and prosecuted them and are sending their cases to the Center for Student Conduct,” Garcia said. “But in other cases, it’s students who are leaning a little too hard on LLMs to do their work for them, and then at exam time just really aren’t ready.” According to Garcia, nearly 30 students in CS 10 were “caught cheating on take-home exams” in spring 2026…
In addition to overreliance on AI, Garcia also pointed out that many students are underprepared mathematically, a concern echoed by campus associate teaching professor Gireeja Ranade. Ranade noticed a similar lack of prerequisite mathematical skills in her spring 2026 EECS 127 class, “Optimization Models in Engineering,” which she described as “differently challenging” to teach this semester. The class saw a 16.8% F rate, far higher than the 5% of D’s and F’s that the EECS department describes as “typical” for an upper division course…
Both Garcia and Ranade have joined more than 1,300 UC faculty in signing a petition calling for the reinstatement of ACT and SAT standardized testing scores for STEM admissions in the UC system.
Thanks to long-time Slashdot reader theodp for sharing the article.
Apple will stream WWDC 2026 through the Apple TV app, its websites, and YouTube, giving viewers several ways to watch the company’s biggest software event of the year. Besides reading here on AppleInsider, here’s how to stay tuned in.
WWDC 2026WWDC is Apple’s annual developer conference, where the company previews updates for the iPhone, iPad, Mac, Apple Watch, Apple TV, and Vision Pro. Developers are the primary audience, but the keynote also gives consumers an early look at many of the features Apple plans to release later in the year.
Both presentations are free to watch through Apple’s streaming platforms. Apple also offers calendar links on its WWDC and Apple Events pages so viewers can add the sessions to their schedules before they begin.
Apple kicks off WWDC 2026 with its keynote on Monday, June 8, at 1 p.m. Eastern. The presentation is expected to introduce the next major versions of Apple’s operating systems, along with new platform features and developer technologies.
Continue Reading on AppleInsider | Discuss on our Forums
Majority Audio is trying to make modern streaming audio more accessible with its new Link Series, which was previewed at High End in Vienna.
This is a range of compact devices that bring services like Spotify Connect and AirPlay 2 to older hi-fi setups. Pricing starts from just £59.
At the entry point is the Link Mini, a small streamer designed to plug into existing speakers, radios, or hi-fi systems., instantly adding wireless streaming.
The Link Mini supports AirPlay 2, Spotify Connect and TIDAL Connect, along with Wi-Fi 6, Bluetooth LE and Auracast compatibility. Additionally, it comes with both analogue and optical outputs, making it is a straightforward upgrade for legacy hi-fi kit.
The step up from the Mini is the Link View, which has a more visual approach. It introduces a 2.1-inch circular touchscreen paired with a rotary control dial, allowing users to browse playback, view album artwork and switch sources directly on the device.
Above the Link View is the Link Pro, which pushes further into all-in-one territory. Alongside streaming support, it adds DAB/DAB+ radio, internet radio and HDMI ARC. This gives it more flexibility for both music and TV audio setups. A larger 4-inch colour display helps manage playback and navigation. So, it makes the device feel closer to a compact hub than a basic streamer.


At the top of the range is the Link Pro Amp, a £299.95 streaming amplifier designed to drive passive speakers directly. It delivers up to 300W of output via a Texas Instruments Class-D amplifier, combining streaming, amplification and radio features in a single unit.
In addition, connectivity is extensive. It includes HDMI ARC, optical input, USB playback, Ethernet, analogue input and a dedicated subwoofer output.
Overall, the Link Series feels aimed at users who want to modernise their audio setup without moving into high-end pricing. Instead of pushing a full system replacement, Majority is focusing on incremental upgrades to existing kit
The Miasma worm hit 73 Microsoft GitHub repos across Azure and Microsoft orgs. It plants payloads that trigger in AI coding tools like Claude Code and Cursor.
The self-replicating Miasma worm has reached Microsoft‘s own GitHub repositories. GitHub disabled 73 repositories across four Microsoft organisations, including Azure, Azure-Samples, Microsoft, and MicrosoftDocs, after the worm planted malicious code that harvests developer credentials. It is the most significant escalation yet in an ongoing supply chain attack campaign that has been spreading across the open-source ecosystem for weeks.
The attack exploited previously compromised credentials. Last month, the threat group TeamPCP infected the “durabletask” PyPI package hosted in Microsoft’s Azure organisation to deliver an information stealer. Security researcher Paul McCarty pointed out that the same repository is at the centre of this month’s takedown.
“When the repo at the root of last month’s compromise is the hub of this month’s takedown, that is not a coincidence, that is the same wound reopening,” McCarty said. “Whoever held those credentials in May plausibly never fully lost them.”
What makes this campaign particularly dangerous is how the payload detonates. The attacker planted a 4.3 MB payload runner wired to execute automatically through five developer tools: Claude Code, Gemini CLI, Cursor, VS Code, and the npm test script. A developer only needs to clone an affected repo and open it in an AI coding agent for the malware to run.
Once triggered, the Bun-based worm harvests credentials for AWS, Azure, GCP, Kubernetes, npm, and GitHub. It then uses those stolen tokens to commit itself into any repository the victim can write to, spreading autonomously across the ecosystem.
Among the disabled repositories are critical Azure infrastructure projects: azure-search-openai-demo, durabletask and its .NET, Go, JS, and MSSQL implementations, functions-container-action, llm-fine-tuning, and windows-driver-docs. OpenSourceMalware reported that GitHub contained the attack within 105 seconds, but the scope of affected downstream users remains unclear.
Miasma is a variant of the Mini Shai-Hulud worm that TeamPCP publicly released in mid-May 2026. The original Shai-Hulud appeared in September 2025 as the first self-replicating malware observed in the npm ecosystem. It has since mutated across npm and PyPI, previously compromising 32 Red Hat packages and hitting TanStack, Mistral AI, and UiPath packages.
The worm has also begun skipping the npm registry entirely. SafeDep found it pushing malicious code directly to source repositories, including “icflorescu/mantine-datatable” and four related projects. As of writing, more than 80 public repositories on GitHub carry the Miasma campaign’s naming pattern.
The fundamental problem is not a vulnerability in npm or GitHub. “It exploits the trust model those platforms are built on,” security firm FalconFeeds.io said in its analysis. “The assumption that if a package is signed with a valid key and published by an authenticated maintainer, it is safe.” The worm compromises the key and the maintainer, then acts exactly like a legitimate publisher. From the registry’s perspective, every malicious publish event looks like a routine update.
The targeting of AI coding agents is a notable evolution. Developers increasingly rely on tools like Claude Code and Cursor to work with unfamiliar repositories. A worm that activates when an AI agent opens a project exploits a new behaviour pattern that did not exist a year ago. It is supply chain malware designed for the age of AI-assisted development.
AI and ML
Most orgs remain trapped between flashy demos and real-world deployment, despite 75% saying adoption is racing ahead
Three-quarters of enterprise leaders say they’re adopting agentic AI, but only a small minority have managed to move beyond pilots and into meaningful production deployments, according to Forrester.
That won’t stop vendors from slapping “agentic” onto every product brochure they can find, but the analyst’s assessment is that most organizations remain stuck somewhere between experimentation and actual business value.
Agentic AI has reached an important milestone in 2026, says Forrester: “long-horizon agents are no longer off on the horizon.”
In plain English, the bots are no longer clocking on for a five-minute task and calling it a day. Vendors have demonstrated agents capable of operating for days, weeks, or even months, with examples ranging from software development to research workflows.
The trouble starts when those demos collide with the realities of enterprise.
Forrester says companies are expanding their agentic ambitions while largely failing to scale them. Governance remains immature, platform strategies remain fuzzy, and many organizations are struggling to demonstrate a return on investment substantial enough to justify broader deployment.
Forrester’s argument is that companies aren’t struggling because they have too many AI agents, but rather they’re struggling because managing them gets messy fast. What works as a handful of experimental projects can become much harder to control once agents start operating across multiple systems and teams.
Many organizations are building agents in isolation, the report says, without a clear way to track them, manage them, or coordinate how they work together. That may be fine for a pilot, but it becomes more of a problem when dozens of agents are making decisions, calling tools, and passing information around an enterprise environment.
The report warns that, as projects grow, companies often end up with overlapping systems, duplicated work, and agents behaving in ways that become increasingly difficult to predict.
Forrester is equally skeptical that governance policies alone will solve the problem. The firm notes that more than half of enterprises still experience what it calls “agentic sprawl” despite adopting governance frameworks and formal policies.
Its conclusion is that writing rules down is one thing; enforcing them is another. Companies are increasingly finding that autonomous systems need automated guardrails that can track what agents are doing and restrict what they’re allowed to do in real time.
For now, the industry’s biggest challenge may not be building AI agents. It’s finding useful work for them that survives contact with the enterprise. Or, as Forrester puts it:
“Until companies tie agent autonomy to measurable changes in how work gets done, agentic AI will remain stuck in proof-of-concept purgatory.” ®
Although cryocoolers are capable of pretty impressive cooling, for many of them the underlying working principle is simple enough that you do not need any special skills or a big budget to make your own version. Take the Gifford-McMahon cryocooler for example, which works using nothing more than some kind of coolant gas and a piston in a cylinder that you can even 3D print, as demonstrated by [Hyperspace Pirate] in a recent video.
The lowest temperature reached across the two prototypes was only -84°C, but this was mostly due to some sub-optimal design choices, such as the use of regular air and a clear acrylic tube to get a good glimpse at the inner workings. The trickiest part of this type of cryocooler is probably that you need to move the piston containing the regenerator between both ends of the cylinder to get a cool and a hot side.
That particular problem was solved by using magnets to move the piston externally, which worked beautifully until the problem of using regular compressed air from the shop compressor caused massive ice formation that jammed up the piston. Obviously this was not an unexpected issue, and for the next step the coolant gas will be replaced by helium, as making that gas freeze up requires quite a bit more effort.
Hackers are actively exploiting a critical vulnerability (CVE-2026-3300) in the Everest Forms Pro plugin, which lets them take complete control of a WordPress website.
The security issue affects versions 1.9.12 and earlier of the plugin and can be leveraged without authentication to execute arbitrary code on the server.
Everest Forms Pro is a commercial add-on for the WordPress form builder plugin Everest Forms. It is used to create contact, registration, payment, and other custom application forms.
The CVE-2026-3300 vulnerability is in the plugin’s Complex Calculation feature, which accepts values submitted through form fields and inserts them into a PHP code string. Then, it executes the resulting code using PHP’s ‘eval ()’ function.
Although user input is passed through a ‘sanitize_text_field()’ function, which does not escape single quotes (‘) or other characters that influence PHP syntax.
As a result, an attacker can close the intended string, inject arbitrary PHP code, and comment out the remaining generated code to achieve code execution on the server.
Telemetry data from Wordfence firewall and malware scanner for WordPress shows that the vulnerability is being exploited in the wild to create rogue administrator accounts.
“The attacker submits a value for a text field that begins with a single quote to close the wrapping string literal, followed by a PHP statement that calls wp_insert_user() to create a new administrator account with the username ‘diksimarina’,” explains a report from Wordfence.
“The trailing // comment marker ensures the rest of the generated PHP code, including the closing quote, is treated as a comment and does not cause a syntax error.”
“When the form is processed, and the calculation is evaluated, the injected PHP code is executed, and the malicious administrator account is created.”
Administrator-level access gives attackers full power to perform high-risk actions on the breached website, including modifying content, installing plugins and themes, planting backdoors and webshells, and accessing private databases.
Researcher h0xilo submitted the CVE-2026-3300 vulnerability through Wordfence in February, and on March 18, the Everest Forms developer released a patch that addresses the issue.
According to Wordfence data, active exploitation started on April 13, with the firewall blocking over 29,300 attempts.

Wordfence says exploitation attempts originate primarily from two IP addresses, 202.56.2[.]126 and 209.146.60.26, and recommends defenders block them.
However, Wordfence’s report provides several offending IP addresses as indicators of compromise (IOCs).
Website administrators are also recommended to review log files and administrator accounts for any suspicious activity, especially containing the string “diksimarina.”
Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
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