Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.

Today’s NYT Connections puzzle offers some fun categories. I actually liked the purple grouping today! Read on for clues and today’s Connections answers.

The Times has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including the number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.

Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time

Hints for today’s Connections groups

Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Think about The Three Stooges.

Green group hint: Round and round.

Blue group hint: Curiouser and curiouser.

Purple group hint: Not Pa, but close.

Answers for today’s Connections groups

Yellow group: Classic slapstick props.

Green group: Things that spin.

Blue group: Featured in “Alice’s Adventures in Wonderland.”

Purple group: What “MA” might refer to.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

What are today’s Connections answers?

The yellow words in today’s Connections

The theme is classic slapstick props. The four answers are banana peel, cream pie, rubber chicken and seltzer bottle.

The green words in today’s Connections

The theme is things that spin. The four answers are globe, grindstone, gyroscope and roulette wheel.

The blue words in today’s Connections

The theme is featured in “Alice’s Adventures in Wonderland.” The four answers are caterpillar, pocket watch, rabbit hole and tea party.

The purple words in today’s Connections

The theme is what “MA” might refer to. The four answers are Massachusetts, master of arts, milliampere and mother.

Frequent flyers and daily commuters have a common frustration. Engine drone on flights, train clatter, and workplace background noise all compete for attention over extended periods of travel or sitting at a computer. Many noise-cancelling headphones provide relief, but they come with software, touch controls, and expensive pricing that appear unnecessary for just basic needs. ONANOFF’s Made for Amazon headphones, priced at $19.99 (was $80), cut through the noise in a refreshingly practical manner.

The over-ear design promotes comfort, with lightweight materials and the softest ear cushions to keep you comfortable even after hours of listening. People have commended the seal’s endurance, even on long, multi-hour flights or back-to-back meetings, because there is no need to fuss with it to ensure a correct fit.

Active noise cancellation is as simple as pressing a single button, and it effectively reduces low-frequency sounds that can be bothersome in contexts such as airplane cabins and autos. Many users have used these for long flights and noted that engine rumbling is practically eliminated, allowing them to listen to podcasts or music without having to crank up the volume to the limit. The experience is heightened by the passive noise isolation provided by the ear cups, which effectively provides a comfortable listening environment without the need to constantly tinker with it.

When it comes to real-world schedules, the battery life is spot on, boasting roughly 20 hours of wireless listening with noise cancellation running, which is enough to span the duration of many flights as well as all of your regular commutes for several days before it needs to be recharged. There is also a useful old-fashioned auxiliary cable available in case you run out of power mid-flight or on a plane with all of its entertainment systems, which serves as an excellent backup option.

The controls are simple and intuitive, with old-school buttons on the ear cups that let you to control music, volume, and calls without having to swipe. There’s also an extra little switch there that activates FOKUS mode, which allows you to prioritize vocal clarity, guaranteeing that your podcasts and phone calls are perfectly clear with no background noise in the mix. It’s especially beneficial when you’re traveling and need to catch up on audio content or make business calls in a congested terminal.

The sound is good and balanced, with just enough bass to give your music weight while not overpowering the rest of the mix. The mids and highs are clear and sharp, letting you to listen to anything you desire, including music, podcasts, and spoken word. They’re not striving to be ultra-high-end, show-off-spec headphones; instead, they provide nice, reliable listening that won’t wear you out after a few hours. If all you need is something practical, this is it.

Pairing with your phone, laptop, or tablet is simple; all you need is a short tap and you’re done. The “Made for Amazon” label indicates that it will perform well in the Amazon environment, but it will also work well with all other Bluetooth devices. There’s no worry, no mess, and no need to set up any ridiculous apps; simply plug in and go.

Strands is the NYT’s latest word game after the likes of Wordle, Spelling Bee and Connections – and it’s great fun. It can be difficult, though, so read on for my Strands hints.

Want more word-based fun? Then check out my NYT Connections today and Quordle today pages for hints and answers for those games, and Marc’s Wordle today page for the original viral word game.

I want to share a story of struggle. Actually, two kinds of struggle.

My father completed his doctorate at the University of Utah in the early 1970s. For his dissertation, he ran a statistical analysis on genealogical records to determine the impact of certain economic conditions on family size.

He accomplished this on one of the most advanced computers of the time. His method? Literally punching out little rectangles in dozens of stiff paper cards, and feeding the stack into the computer.

My father was a lowly graduate student, and because the demand for computing time at the university was sky high, he had to run his analysis in the middle of the night. He spent many nights punching cards and running them through the machine. Even a single mispunch would cause the entire program to stop running and require painstaking troubleshooting, re-punching, and another night at the computer lab.

Unproductive vs. Productive Struggle

The soul-sapping sleep deprivation and endless paper punching that stood between my father and his goals represents the first kind of struggle in my story: unproductive struggle — the challenging, unavoidable tasks we must perform toward a learning goal, but which add no value to the intellectual outcome.

The real intellectual challenge in my father’s work was in deciding which variables belonged in the model, determining how to represent economic conditions over time, and interpreting the data. This is the second kind of struggle: productive struggle. That is, the effort a learner expends to make sense of concepts, to figure something out that is not immediately apparent. This struggle leads to growth and insight. It builds judgment, expertise and understanding.

What is frustrating about my father’s story in hindsight is that so much of his time and cognitive energy were consumed by the unproductive struggle of punching cards and managing the computer. Without those barriers, he would have had more capacity for the productive struggle that leads to meaningful learning.

Thinking About What Matters

When it comes to AI in schools, some educators fear that it will lead to learning becoming too easy. This is referred to as “cognitive laziness.” The assumption is that we will offload our thinking to AI and eventually lose our ability to think critically. This is a risk with any technology that makes our mental work more efficient, and AI is uniquely adept at taking on cognitively demanding tasks. But ceding our reasoning power to AI isn’t a foregone conclusion. And simply not using AI in learning settings doesn’t have to be our solution for preserving our mental capacities.

Just as better computing tools would have freed my father from punching cards without removing the intellectual rigor of his work, today’s tools, including AI, have the potential to offload unproductive struggle, while preserving, and even amplifying, the productive struggle that is central to learning.

Here’s an example: When reading comprehension is not the goal of a lesson but a necessary prerequisite — a student having to read an article to understand the causes of the French Revolution, for example — AI tools can adjust reading levels on the fly to assist learners who are below grade level or for whom English is not their first language. This allows them to focus on the history rather than on decoding the text.

Refining Rigor

So what does this mean for educators who are grappling with how to help students use AI effectively?

First, we need to remind ourselves and help our students understand that the goal of learning has never been to make learning easy. It is to make it meaningful. We must ensure that learners are spending their time wrestling with big ideas, not battling logistics or bogged down by rote tasks.

Second, educators need to face a hard truth about the assignments we give students. Many assignments contain a mix of productive and unproductive struggle, and we are not always very intentional about which is which. Under crushing time and resource pressure, we can become unreflective about the distinction between productive and unproductive work. We inherit assignments, reuse problem sets, and value rigor without always asking where the rigor actually lies.

If AI forces us to confront that, it may be one of the most useful disruptions education has experienced in decades.

For instance, requiring students to write citations according to a set format may feel rigorous, but the cognitive work of formatting has little to do with the intellectual work of evaluating sources and integrating evidence into an argument. This shift requires us to redesign tasks, rethink assessments and, if necessary, let go of practices that feel rigorous but don’t meaningfully deepen understanding.

Sharpening Learning

If we do this well, AI won’t hollow out learning; it will sharpen it. It will give students more space to wrestle with ideas instead of mechanics, more time to interpret instead of transcribe, and more opportunity to make active sense of the world. It will give us a chance to be far more intentional about the kind of struggle we ask students to engage in.

In the end, AI won’t decide whether our students experience cognitive laziness or cognitive growth. We will decide that by how we design assignments and assessments, and by the choices we make about which AI tools to adopt and how we choose to use them.

This is our chance to weed out the punch cards and open up more time for students to struggle over things that truly matter.

It was published by KPMG, one of the world’s ‘Big Four’ accounting firms.

Professional services firm KPMG has pulled a report titled, “Redefining excellence in the age of agentic AI,” after numerous organizations said the report’s claims about their AI usage were untrue.

Research group GPTZero identified a number of inaccuracies in the report, which was published in October 2025. GPTZero told the FT that the inaccuracies stemmed from AI hallucinations. In other words, the professional services firm appears to have used AI to help write a report about AI. 

UBS, the UK’s National Health Service, Swiss Federal Railways, and Transport for London all told the FT that the report’s claims about their AI usage were either untrue or misleading. A KPMG spokesperson said the firm removed the report from its websites while conducting its own investigation.

“We expect all our people to follow our guidelines on the responsible use of AI, including human oversight to validate content and verify independent sources,” the spokesperson said.

Last month, EY withdrew a report on loyalty rewards programs that appeared to include fake footnotes and AI hallucinations.

While Hollywood has fake cities for filming movies, the FBI apparently has one for getting hacked. The agency has pulled back the curtain on its Kinetic Cyber Range, a 22,000-square-foot replica small town hidden inside its Huntsville, Alabama campus. But instead of training officers for shootouts or hostage rescues, the facility is designed to simulate realistic cyberattacks on homes, businesses, and critical infrastructure so investigators can practice responding to them in a controlled environment.

The FBI built an entire town just to simulate cybercrime

The indoor complex includes buildings such as homes, a hotel, a gas station, a courthouse, and even a fully functional data center packed with around 200 servers. Each location is wired with operating systems, connected devices, and live networks to mirror the kinds of digital environments agents encounter during real investigations.

According to the FBI, trainees can investigate simulated ransomware attacks, recover evidence from hacked vehicles, and trace digital footprints across multiple interconnected systems. Since opening last year, the facility has reportedly trained more than 1,400 FBI personnel and members of other government agencies. The goal is simple: replace classroom theory with realistic, hands-on scenarios where mistakes can be made safely before agents face similar incidents in the real world.

Cybercrime has become too real to train with PowerPoint slides

The idea might sound unusual, but it reflects how modern cyberattacks increasingly spill into the physical world. Ransomware can shut down hospitals, compromised industrial systems can disrupt utilities, and hacked vehicles or IoT devices often require investigators to understand both hardware and software simultaneously.

In many ways, the Kinetic Cyber Range is the cyber equivalent of the FBI’s famous Hogan’s Alley training town in Quantico, except the bullets have been replaced by malware and forensic tools. As digital attacks continue targeting everything from power grids to city infrastructure, having an entire fake town where agents can safely break and rebuild systems before responding to the real thing suddenly feels less like science fiction and more like a necessity.

Over two years after the Apple Car program was declared dead, Apple has offloaded its 5,500-acre Arizona proving ground to Waymo. It’s a sale that recoups $220M from the $10B Apple spent on the failed project.

The Apple Car project is a program believed to have been cancelled by Apple after about a decade of research and development. In what is the surest sign of it being dead, Apple has sold off a massive parcel of land used for self-driving vehicle testing.

In a filing reported by TechCrunch dated June 5, the property at Wittman, Arizona, has been acquired by Waymo. The sale, which was confirmed by Waymo, sees a payment of $220 million being handed over to Route 14 Investment Partners LLC.

Route 14 is a Delaware shell company believed to be connected to Apple. After renting the facility for a number of years, it Route 14 acquired it for $125 million in 2021.

The purchase gives Waymo yet another place to test out its vehicles. It already has locations in California and Ohio, but the Arizona lot will give it a massive amount of land for testing its fleet.

A Waymo spokesperson said the Arizona facility would be used to simulate driving scenarios in a controlled environment. This is to test its self-driving system, including rider-only testing, motion control, operational training workflows, and its future testing needs.

A self-driving playground

Apple’s renting and later purchase of the facility made sense at the time. It is a location that has a lot to offer companies in the automotive business.

The 5,458-acre site was previously used by Chrysler, again as a vehicle proving ground. It was then sold to a housing developer in 2005, but was later annexed by the City of Surprise and left alone.

A view of the facility – Image credit: Google Earth

In 2016, the city signed a development agreement with the then-owner SFI Grand Vista LLC, under the intention that it would be used by Route 14.

Despite being over 5,000 acres in size, only a small part of the facility has been set up for testing purposes. There is a 115-acre city course, as well as a freeway course geared towards autonomous vehicle testing.

It also has a 35-acre vehicle dynamics area and a four-mile oval track.

The sheer size of the facility provides ample opportunity for occupiers to build out the area for extended testing. All while still maintaining a safe distance from the edge of the lot, which also helps keep the testing private.

Cash back from an expensive project

The sale of $220 million in now-unused land sounds like a lot, and so does the $95 million in value the site earned in just five years. That is, until you remember that this involves Apple.

At Apple’s scale, the proceeds of the property sale will help fund other projects, but it’s pocket change compared to its other investments.

Indeed, compared to the $10 billion Apple has been estimated to have shelled out over a decade for Project Titan, it’s barely 2% of the outlay.

It is, however, an attempt by Apple to shed the last vestiges of the extremely expensive failure.

It’s no longer testing its self-driving system on roads, after cancelling the Autonomous Vehicles Program Manufacturer’s Testing Permit in September 2024. Holding onto private grounds for testing doesn’t make sense if there aren’t any planned for the future.

The work wasn’t entirely a bust for Apple, as the teams and research that went into it will have been absorbed by other parts of the company. It’s not hard to imagine some of the computer vision elements being incorporated into Apple Intelligence, or elements being used to push forward its robotics efforts.

The sale, two years after a very public funeral for a very secretive project, is merely Apple getting rid of a massive site that it has no use for anymore.

It’s a reminder of the costly mistake that hurt its wallet and with little to prove for it.