TL;DR
EU trade chief Šefčovič wants a new law forcing companies in sensitive sectors to have at least three suppliers, modelled on the Energy Union.
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.” ®
EU trade chief Šefčovič wants a new law forcing companies in sensitive sectors to have at least three suppliers, modelled on the Energy Union.
EU trade commissioner Maroš Šefčovič has called for a new “diversification instrument“ to reduce Europe’s dependence on single suppliers of chips and rare earths. He made the proposal at the European Policy Center’s Brussels Economic Security Forum on Friday. The tool would force companies in sensitive sectors to source from at least three different suppliers.
“If it’s critical supplies, you have to have three different suppliers to make sure that you cannot be punished because of a political reason,” Šefčovič said. He cited the Energy Union as his model, an initiative he previously led to wean Europe off Russian energy after the 2014 annexation of Crimea.
The urgency is real. The EU relies on China for more than 90% of its rare earth supplies. Beijing imposed export controls on rare earth magnets last October during a tariff dispute with the United States, and halted chip shipments from Chinese-owned Nexperia after the Dutch government seized control of the company.
Those disruptions hit European carmakers and exposed the bloc’s vulnerability. “Recent industrial cases, in particular supplies of chips and rare earths, have reinforced my conviction that a step change is necessary,” Šefčovič said. “Every high-risk sector must be weaned off single-supplier dependence.”
The EU has since joined forces with Washington and other nations to find alternative sources. Sweden’s discovery of Europe’s largest rare earth deposit offered a long-term glimmer, but mining timelines stretch well beyond a decade. In the meantime, Europe remains exposed.
The proposal comes a day after Šefčovič urged Brussels and Beijing to address the EU’s “unsustainable” trade deficit with China. That deficit widened to €360 billion last year, up 18% from 2024. EU leaders are set to discuss China’s industrial overcapacity and subsidised exports at a summit on 18-19 June.
Šefčovič will also meet Chinese counterpart Wang Wentao in Brussels later this month. He told reporters the next step is a formal legal proposal. “We have to specify what to really do with the legal proposal,” he said.
The broader push to reduce chip dependency has already produced the EU Chips Act, which aims to double Europe’s share of global chip production to 20%. A Chips Act 2.0 was proposed by the Commission in June 2026 with new measures to cut strategic dependencies further.
JBL has taken the wraps off its most ambitious home speakers yet. The company is launching the next-generation Summit Everest and Summit K2 models as part of a new flagship Summit Series. This series was unveiled at High End Vienna 2026.
These aren’t just updates to existing speakers. They continue JBL’s long-running “Project” lineage — a designation reserved for the brand’s most technically advanced loudspeakers. In addition, they arrive as part of the company’s 80th anniversary celebrations.
The new range sits at the very top of JBL’s line-up, joining models like Makalu, Pumori, and Ama. However, the Everest and K2 are the clear headline acts. They are reference-level systems for listeners who want no-compromise performance at home.
The Summit Everest sits at the top of the stack, carrying forward the legacy of four previous Everest generations. It uses a redesigned mid and high-frequency system built around JBL compression drivers and a large-format HDI horn.
This is supported with dual 10-inch mid-bass drivers and dual 15-inch woofers, with the intent on delivering deep bass while maintaining precision across the full frequency range.


Slightly lower in the range, the Summit K2 follows a similar design philosophy but scales things back into a more “accessible” flagship format. Still, it uses JBL’s compression driver system and HDI horn design, paired with a 15-inch woofer and 10-inch mid-bass driver. This approach aims for the same sense of scale and clarity in a smaller footprint.
Both models share JBL’s updated internal architecture, including a redesigned crossover system intended to reduce signal loss and improve power handling. They have also reworked the cabinets, adding heavy internal bracing and damping to minimise unwanted resonance.
Furthermore, new isolation feet decouple the speakers from the floor, delivering cleaner bass response and sharper imaging.
Finish options lean fully high-end, with either high-gloss black with platinum accents or Macassar ebony veneer with gold detailing. Even the hardware has been treated as part of the design, using premium binding posts and high-grade internal wiring throughout.
Pricing underlines exactly where these sit in the market. The Summit Everest comes in at $159,990 per pair. Meanwhile, JBL prices the Summit K2 at $99,990 per pair, firmly placing both models in the ultra high-end territory when they arrive later in 2026.
Got yourself a new Kindle Paperwhite or Colorsoft? Great! Let’s get a cover on that ASAP. A good cover will guard against scratches, scrapes and potential breakages, as well as adding a general protective layer. (These models are all IPX8 waterproof, but you can’t be too careful.)
I’ve rounded up a selection of my favorite Kindle Paperwhite and Colorsoft cases below — these e-readers have the same proportions, so all the cases will work for either. I’ve included Amazon‘s own-brand options and covers from third-party retailers; patterned and plain options in a range of materials; covers that just snap over the front, and cases that envelope the entire Kindle. Most of these have auto-Sleep/Wake functions — so your Kindle will automatically sleep when you close the cover — as well as useful things like handles for a more secure grip. If you like to read and eat at the same time, look out for a case with a built-in stand, so you can keep both hands free.
Our Kindle Paperwhite (2024) review and Kindle Colorsoft review will provide more info about the models these cases are designed for, or if you haven’t yet purchased your Kindle, my Kindle range guide can help you make sense of your options. If you’re not in a rush, it might be a good idea to wait for Amazon Prime Day before you buy, because I’m expecting a number of Kindles to drop in price for that event. You can also hop to the bottom of this page for a more in-depth guide to which models these cases will fit.
I’ll start with US cases — jump down the page for my top UK picks.
The Paperwhite and Colorsoft Kindle models have a 7-inch screen. These cases should fit the regular and Signature versions. Note that the Kindle Scribe Colorsoft is larger and won’t fit these cases.
The cases in this roundup will fit any Kindle with a 7-inch screen (occasionally referred to, more accurately, as a 6.8-inch screen), which is the Paperwhite and Colorsoft models (excluding the Colorsoft Scribe, which has a larger screen). They’ll definitely all work with the current generation of each model, which for the avoidance of doubt is:
They might also fit older Paperwhite models, but double-check the proportions to make sure before purchasing. The cases in this roundup won’t fit the Classic Kindle (6-inch screen), Kindle Scribe (11-inch screen), or Scribe Colorsoft (11-inch screen).
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A California man was sentenced to more than 26 years in federal prison for trafficking fentanyl and methamphetamine through Nemesis Market, one of the world’s largest dark web marketplaces.
39-year-old Darren Hughes of San Jose was convicted on drug trafficking charges in November 2025 and was sentenced by U.S. District Judge John F. Kness on May 26.
According to court documents, Hughes operated a store that offered potential clients free samples of methamphetamine on Nemesis Market.
After sending one of the free meth samples to an undercover law enforcement agent who reached out, Hughes also sold the agent methamphetamine and fentanyl pills on five separate occasions in 2023, in exchange for cryptocurrency as payment.
On June 28, 2023, the Redwood City Police Department arrested Hughes in California after arranging another sale with undercover agents.
Detectives from the Street Crime Suppression Team also found approximately 672 grams of methamphetamine and a loaded 9mm “ghost gun” bearing no serial number when searching his vehicle.

”Criminals selling poison on the dark web often act with impunity and brazenness because they mistakenly believe that they are beyond the reach of federal law enforcement. The Chicago U.S. Attorney’s Office and our law enforcement partners will identify, investigate, and prosecute drug traffickers regardless of where they operate—and, even if they operate on the dark net,” said U.S. Attorney Andrew S. Boutros.
“Drug dealers once relied on street corners; today, they use the internet to reach customers worldwide. Dark web marketplaces may seem anonymous, but no platform is beyond law enforcement’s reach. Darren Hughes used the internet to profit from addiction and distribute dangerous drugs,” added IRS-CI SAC Adam Jobes.
The Nemesis Market launched in 2021 and quickly grew into one of the world’s largest illegal online markets before being taken down by German and American authorities in March 2024.
At its peak, the dark web cybercrime marketplace hosted more than 150,000 user accounts and 1,100 seller accounts, and processed over 400,000 orders (including roughly 17,000 for opioids like fentanyl, heroin, and oxycodone, and more than 55,000 for meth, cocaine, and crack cocaine).
Germany’s Federal Criminal Police Office and Frankfurt’s cybercrime unit led the Nemesis Market shutdown on March 20, 2024, seizing infrastructure in Germany and Lithuania and confiscating roughly $100,000 in cash.
Investigations had begun in October 2022, involving German, Lithuanian, and American agencies, including the FBI, DEA, and the IRS Criminal Investigation (IRS-CI).
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A new national AI strategy puts sovereignty front and centre as Canada moves to reduce its dependence on foreign cloud and AI providers.
On Wednesday, the European Commission launched its Technological Sovereignty Package, introducing new legislation to loosen the grip of US Big Tech on European cloud and AI infrastructure. Now Canada has followed suit with its own ‘AI for All’ strategy, built around six pillars and with the explicit goal of ensuring Canadians can “adopt, build and govern AI on their own terms”.
“We will strengthen Canadian sovereignty at a time when it is being deeply challenged,” the strategy states, in a clear reference to tense relations with its neighbours under the Trump administration.
“Too much Canadian innovation is captured and scaled elsewhere,” the strategy reads. “In an era where prosperity, resilience and sovereignty increasingly depend on the ability to build and govern AI on national terms, these are vulnerabilities Canada cannot leave unaddressed.”
The strategy, published yesterday (4 June), points to some of those “vulnerabilities” that Canada needs to address. Sovereign compute capacity is described as “nascent”, with Canadian organisations remaining heavily reliant on foreign providers for the infrastructure underpinning economic, scientific and public-sector activity.
GPU chip fabrication sits “almost entirely offshore”, and only 12pc of Canadian businesses currently use AI – well behind Nordic counterparts, the strategy claims, where adoption runs between 29 and 42pc. The strategy’s six pillars cover:
On infrastructure, the Canadian government is committing to building a world-leading supercomputer by 2031 and growing sovereign cloud capacity to reduce dependence on foreign providers, echoing the EU’s CADA (Cloud and AI Development Act) proposals published on Wednesday.
Canada aims to increase business AI adoption from 12pc today to 60pc by 2034, create up to 250,000 new jobs through AI adoption by 2031, and create nearly $200bn in GDP gains from labour productivity improvements.
Priority sectors for investment will be: health and life sciences; energy and natural resources; transportation; agriculture; and manufacturing and robotics.
The strategy flags that Canada has already signed 20 new economic and defence international partnerships in the past year, 11 of which advance AI cooperation. The Canadian government said it will build a strategic multilateral alliance to move “from reliance to resilience” in key AI and technology capabilities.
For children and its citizens in general, the Canadian strategy commits to modernising privacy legislation, introducing online safety laws and providing free AI literacy training to 1m entry-level, post-secondary students.
Canada’s strategy and the EU’s sovereignty package this week are clear signs that the race to reduce dependence on a small number of US technology giants is now a mainstream policy priority on both sides of the Atlantic.
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OpenAI announced a new feature that it says will provide additional protection from prompt injection attacks, where malicious chatbot instructions are hidden in webpages and other content sources.
Among other things, Lockdown Mode will disable live web browsing (so you can only access cached content), the retrieval and display of images from the web (you can still generate images), deep research, and agent mode.
The company says that even with Lockdown Mode turned on, ChatGPT could still be vulnerable to prompt injections — which could, for example, “appear in cached web content or in an uploaded file, and could still affect the behavior or accuracy of a response.”
But the goal is to reduce the likelihood that sensitive data gets shared in the process.
“Lockdown Mode is not intended for everyone,” OpenAI says. “It is designed for people and organizations that handle sensitive data and want stricter protection from data exfiltration risks related to prompt injection.”
The company says it’s currently rolling Lockdown Mode out to self-serve ChatGPT Business accounts, as well as eligible personal accounts.
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.
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