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How to Pick the Right MacBook for You (and Not Waste Your Money)

How to Pick the Right MacBook for You (and Not Waste Your Money)

All of Apple’s processors are scattered throughout different MacBook models. While Apple only currently sells M4 MacBooks, you can find older models at specific third-party retailers online either completely new or refurbished. If you do stumble upon its older chips (which came out four years ago), you might be wondering how they compare to other options. We break down the differences between each one.

M5 Series

M5: The rollout of the M5 line of chips has just started. The base M5 still has up to a 10-core CPU and 10-core GPU, although there’s also a lower-tier 9-core CPU that’s available in the iPad Pro—and presumably, that’ll also be offered in the M5 MacBook Air at some point. The M5 is around 10 to 15 percent faster in CPU performance, but also takes a significant step up in GPU, AI workloads, and even storage speed.

M4 Series

M4: The M4 originally launched in 2024. It has a 10-core CPU and 10-core GPU. Apple claims it delivers 1.8 times faster CPU performance and 2.2 times faster GPU performance than the M1. Meanwhile, the neural engine is over three times faster than the original and twice as fast as the M3. It also starts with 16 GB of unified memory, which will help power Apple Intelligence (the company’s suite of artificial intelligence features) a lot more smoothly. It’s available on the 14-inch MacBook Pro (2024), iMac (2024), and MacBook Air (13-inch and 15-inch, 2025).

M4 Pro: The M4 Pro has a 14-core CPU (which Apple claims is up to 1.9 times faster than the M1 Pro) and up to 20-core GPU, with up to 64 GB of unified memory. Built on a second-generation 3-nanometer process, it also supports enhanced GPU features like mesh shading and ray tracing—the latter of which is now twice as fast as on M3 chips. You’ll find it on the latest MacBook Pro (14-inch and 16-inch) and Mac Mini (2024).

M4 Max: This chip has a 16-core CPU and up to a 40-core GPU with support for up to 128 GB of unified memory. Apple says the CPU is up to 2.2 times faster than the M1 Max, while the GPU is up to 1.9 times faster. As with the M4 Pro, it packs support for mesh shading and ray tracing. The M4 Max is currently the most powerful chip you can get in a MacBook, and is available on the latest 14-inch and 16-inch MacBook Pro. You can also get it as an option in the current Mac Studio.


M3 Series

M3: The M3 is available on the 14-inch MacBook Pro (late 2023), 13-inch MacBook Air (2024), 15-inch MacBook Air (2024), and 24-inch iMac (2023). It packs an 8-core CPU and up to 10-core GPU with 24 GB of unified memory. When compared to the M1, Apple claims CPU performance is up to 35 percent faster and GPU performance is up to 65 percent faster. The company says the CPU and GPU are both 20 percent faster than the M2. As with the M1 and M2, it’s great for basic tasks like word processing, sending emails, using spreadsheets, and light gaming. With the 13-inch and 15-inch MacBook Air, you also have support for two external displays (one display with up to 6K resolution at 60 Hz and another with up to 5K resolution at 60 Hz).

M3 Pro: With a 12-core CPU and an 18-core GPU, Apple claims the M3 Pro’s GPU is only up to 10 percent faster than the M2 Pro—making this a marginal upgrade from its predecessor. Compared to the M1 Pro, however, the M2 Pro is up to 40 percent faster in GPU performance and 20 percent faster in CPU performance. It’s available on the 14-inch and 16-inch MacBook Pro from 2023. It’s the ideal in-between for those who need a chip that’s more powerful than the M3 but won’t utilize the full power of the M3 Max.

M3 Max: This is the next step up from the M2 Max and the most powerful of the three chips (but still not as powerful as the M2 Ultra). It has a 16-core CPU, 40-core GPU, and up to 128 GB of unified memory. According to Apple, the CPU performance is up to 80 percent faster than the M1 Max and up to 50 percent faster than the M2 Max. As for GPU performance, it’s said to be up to 50 percent faster than the M1 Max and 20 percent faster than the M2 Max. The M3 Max is available on the 14-inch and 16-inch MacBook Pro (late 2023).

M3 Ultra: While the M3 lineup was introduced in 2023, Apple announced an M3 Ultra in 2025. It’s confusingly the most powerful chip in the M-series lineup—even better than the latest M4 Max. It has an up to 32-core CPU (with 24 performance cores) and a GPU with up to 80 cores. Apple claims it’s up to 2.5 times faster than the M1 Ultra. It also comes with 96 GB of unified memory, with the option to upgrade up to 512 GB, while SSD storage can be increased to 16 GB. This chip is currently only available on the 2025 Mac Studio.


M2 Series

M2: You might think the M2 is better than the M1 Pro or M1 Max, but you’d be wrong. It’s an entry-level chip like the M1, with slightly more processing power. It packs an 8-core CPU and up to a 10-core GPU (two more GPU cores than its predecessor), along with support for up to 24 GB of unified memory. Apple says the second-generation chip has an 18 percent faster CPU and a GPU that’s 35 percent more powerful. The M2 is great for daily tasks like word processing and web browsing, but tasks like editing multiple streams of 4K footage and 3D rendering should be reserved for the M1 Pro or M1 Max (or the next two chips). It’s available in the MacBook Air (13 inch, 2022), MacBook Air (15 inch, 2022), and MacBook Pro (13 inch, 2022).

M2 Pro: The M2 Pro is the next step up from the M2. It has up to 12 cores in the CPU and up to a 19-core GPU, with up to 32 GB of unified memory. Apple claims performance is up to 20 percent faster than the 10-core M1 Pro and graphics are 30 percent faster. We recommend this chip for intermediate video and photo editors. It’s a marginal upgrade compared to the M1 Pro, but it’s the best option for those who want a more future-proof processor. You’ll find it in the MacBook Pro (14-inch and 16-inch) from early 2023 and Mac Mini (2023).

M2 Max: The M2 Max packs up to a 12-core CPU and up to a 38-core GPU (with support for up to 96 GB of unified memory). According to Apple, graphics are 30 percent faster than the M1 Max. The M2 Max is an excellent choice for those who work with graphics-intensive content, including graphic design, 3D modeling, and heavy-duty video footage. But as with the M2 Pro, it’s an incremental upgrade if you’re coming from an M1 Max. It’s available in the MacBook Pro (14-inch and 16-inch) that came out early in 2023 and Mac Studio (2023).

M2 Ultra: This is the successor to the M1 Ultra. It’s available on the second-generation Mac Studio and the Mac Pro (2023). Composed of two M2 Max chips, using Apple’s UltraFusion technology, the M2 Ultra has a 24-core CPU and a GPU configurable with 60 or 76 cores. Apple claims the CPU delivers up to 20 percent faster performance and a 30 percent faster GPU than the M1 Ultra. This is the chip to get if you’re working with extremely heavy-duty content that you believe the M1 Ultra, M2 Pro, or M2 Max simply won’t be able to handle. You’ll know if you need a chip this robust.


M1 Series

M1: This was the first custom silicon Apple debuted for its MacBook Air in 2020. It has an 8-core CPU and up to an 8-core GPU. Originally, there was support for up to 16 GB of unified memory (RAM) at an extra cost, but nowadays you can only purchase the 8-GB model. It’s much faster than any previous Intel-powered MacBook Pro, and it is the practical choice for most people, as it’s in the most affordable MacBook Air you can buy (from third-party retailers). It packs more than enough processing power to get you through common day-to-day tasks—even light gaming—and it can handle more intense jobs like photo editing.

M1 Pro: From there, the next step up was the M1 Pro. It has up to 10 cores in the CPU and up to a 16-core GPU, with up to 32 GB of unified memory. Apple says performance and graphics are both twice as fast as on the M1. We found it to be considerably more capable than the base chip, ideal for anyone who works heavily on MacBooks for music production or photo and video editing. Only the MacBook Pro (14-inch and 16-inch) from 2021 use this chip.

M1 Max: Like the M1 Pro, the M1 Max has a 10-core CPU but a heftier 32-core GPU (with support for up to 64 GB of unified memory). Apple says it’s four times faster than the M1 in terms of graphics. As proven in testing, this chip is extremely powerful and handles every heavy-duty task with ease. It was the go-to choice if you needed computer that could handle multiple streams of 8K or 4K video footage, 3D rendering, or developing apps and running demos. You probably already know whether you need this much power. It’s available in the MacBook Pro (14-inch and 16-inch) from 2021.

M1 Ultra: The M1 Ultra was the most powerful of them all. It’s two M1 Max chips connected with a technology called UltraFusion. It packs a 20-core CPU, 64-core GPU (which can be configured with up to 128 GB of unified memory), and a 32-core neural engine—complete with seven times more transistors than the base M1. Even with the M3 Ultra now available, the M1 Ultra remains powerful and a solid option for anyone who needs a heavy-duty processor for working with intense visuals and graphics. It was available only on the first-generation Mac Studio.

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Lego-style propaganda videos alleging war crimes are flooding online feeds, echoing the White House’s own turn toward cryptic teaser clips and meme-native visuals. This is not just content drift. It is a new front in the information war, one where speed, ambiguity, and algorithmic reach matter as much as accuracy.

One Iran-linked outlet, Explosive News, can reportedly turn around a two-minute synthetic Lego segment in about 24 hours. The speed is the point. Synthetic media does not need to hold up forever; it only needs to travel before verification catches up.

Last month, the White House added to that confusion when it posted two vague “launching soon” videos, then removed them after online investigators and open source researchers began dissecting them.

The reveal turned out to be anticlimactic: a promotional push for the official White House app. But the episode demonstrated how thoroughly official communication has absorbed the aesthetics of leaks, virality, and platform-native intrigue. Even when official accounts adopt the aesthetics of a leak, questioning whether a record is real or synthetic is the only defensive move left.

Real vs. Synthetic: The New Friction

A zero digital footprint used to signal authenticity. Now, it can signal the opposite. The absence of a trail no longer means something is original—it may mean it was never captured by a lens at all. The signal has inverted. Truth lags; engagement leads.

Automated traffic now commands an estimated 51 percent of internet activity, scaling eight times faster than human traffic according to the 2026 State of AI Traffic & Cyberthreat Benchmark Report. These systems don’t just distribute content, they prioritize low-quality virality, ensuring the synthetic record travels while verification is still catching up.

Open source investigators are still holding the line, but they are fighting a volume war. The rise of hyperactive “super sharers,” often backed by paid verification, adds a layer of false authority that traditional open source intelligence (OSINT) now has to navigate.

“We’re perpetually catching up to someone pressing repost without a second thought,” says Maryam Ishani, an OSINT journalist covering the conflict. “The algorithm prioritizes that reflex, and our information is always going to be one step behind.”

At the same time, the surge of war-monitoring accounts is beginning to interfere with reporting itself. Manisha Ganguly, visual forensics lead at The Guardian and an OSINT specialist investigating war crimes, points to the false certainty created by the flood of aggregated content on Telegram and X.

“Open source verification starts to create false certainty when it stops being a method of inquiry—through confirmation bias, or when OSINT is used to cosmetically validate official accounts or knowingly misapplied to align with ideological narratives rather than interrogate them,” Ganguly says.

While this plays out, the verification toolkit itself is becoming harder to access. On April 4, Planet Labs—one of the most relied-upon commercial satellite providers for conflict journalism—announced it would indefinitely withhold imagery of Iran and the broader Middle East conflict zone, retroactive to March 9, following a request from the US government.

The response from US defense secretary Pete Hegseth to concerns about the delay was unambiguous: “Open source is not the place to determine what did or did not happen.”

That shift matters. When access to primary visual evidence is restricted, the ability to independently verify events narrows. And in that narrowing gap, something else expands: Generative AI doesn’t just fill the silence—it competes to define what’s seen in the first place.

Generative AI Is Getting Harder to Spot

Generative AI platforms have been learning from their mistakes. Henk van Ess, an investigative trainer and verification specialist, says many of the classic tells—incorrect finger counts, garbled protest signs, distorted text—have largely been fixed in the latest generation of models. Tools like Imagen 3, Midjourney, and Dall·E have improved in prompt understanding, photorealism, and text-in-image rendering.

But the harder problem is what van Ess calls the hybrid.

#Internet #Broke #Everyones #Bullshit #Detectorspropaganda,artificial intelligence,open source,satellite images,iran,war,politics">How the Internet Broke Everyone’s Bullshit DetectorsLego-style propaganda videos alleging war crimes are flooding online feeds, echoing the White House’s own turn toward cryptic teaser clips and meme-native visuals. This is not just content drift. It is a new front in the information war, one where speed, ambiguity, and algorithmic reach matter as much as accuracy.One Iran-linked outlet, Explosive News, can reportedly turn around a two-minute synthetic Lego segment in about 24 hours. The speed is the point. Synthetic media does not need to hold up forever; it only needs to travel before verification catches up.Last month, the White House added to that confusion when it posted two vague “launching soon” videos, then removed them after online investigators and open source researchers began dissecting them.The reveal turned out to be anticlimactic: a promotional push for the official White House app. But the episode demonstrated how thoroughly official communication has absorbed the aesthetics of leaks, virality, and platform-native intrigue. Even when official accounts adopt the aesthetics of a leak, questioning whether a record is real or synthetic is the only defensive move left.Real vs. Synthetic: The New FrictionA zero digital footprint used to signal authenticity. Now, it can signal the opposite. The absence of a trail no longer means something is original—it may mean it was never captured by a lens at all. The signal has inverted. Truth lags; engagement leads.Automated traffic now commands an estimated 51 percent of internet activity, scaling eight times faster than human traffic according to the 2026 State of AI Traffic & Cyberthreat Benchmark Report. These systems don’t just distribute content, they prioritize low-quality virality, ensuring the synthetic record travels while verification is still catching up.Open source investigators are still holding the line, but they are fighting a volume war. The rise of hyperactive “super sharers,” often backed by paid verification, adds a layer of false authority that traditional open source intelligence (OSINT) now has to navigate.“We’re perpetually catching up to someone pressing repost without a second thought,” says Maryam Ishani, an OSINT journalist covering the conflict. “The algorithm prioritizes that reflex, and our information is always going to be one step behind.”At the same time, the surge of war-monitoring accounts is beginning to interfere with reporting itself. Manisha Ganguly, visual forensics lead at The Guardian and an OSINT specialist investigating war crimes, points to the false certainty created by the flood of aggregated content on Telegram and X.“Open source verification starts to create false certainty when it stops being a method of inquiry—through confirmation bias, or when OSINT is used to cosmetically validate official accounts or knowingly misapplied to align with ideological narratives rather than interrogate them,” Ganguly says.While this plays out, the verification toolkit itself is becoming harder to access. On April 4, Planet Labs—one of the most relied-upon commercial satellite providers for conflict journalism—announced it would indefinitely withhold imagery of Iran and the broader Middle East conflict zone, retroactive to March 9, following a request from the US government.The response from US defense secretary Pete Hegseth to concerns about the delay was unambiguous: “Open source is not the place to determine what did or did not happen.”That shift matters. When access to primary visual evidence is restricted, the ability to independently verify events narrows. And in that narrowing gap, something else expands: Generative AI doesn’t just fill the silence—it competes to define what’s seen in the first place.Generative AI Is Getting Harder to SpotGenerative AI platforms have been learning from their mistakes. Henk van Ess, an investigative trainer and verification specialist, says many of the classic tells—incorrect finger counts, garbled protest signs, distorted text—have largely been fixed in the latest generation of models. Tools like Imagen 3, Midjourney, and Dall·E have improved in prompt understanding, photorealism, and text-in-image rendering.But the harder problem is what van Ess calls the hybrid.#Internet #Broke #Everyones #Bullshit #Detectorspropaganda,artificial intelligence,open source,satellite images,iran,war,politics

flooding online feeds, echoing the White House’s own turn toward cryptic teaser clips and meme-native visuals. This is not just content drift. It is a new front in the information war, one where speed, ambiguity, and algorithmic reach matter as much as accuracy.

One Iran-linked outlet, Explosive News, can reportedly turn around a two-minute synthetic Lego segment in about 24 hours. The speed is the point. Synthetic media does not need to hold up forever; it only needs to travel before verification catches up.

Last month, the White House added to that confusion when it posted two vague “launching soon” videos, then removed them after online investigators and open source researchers began dissecting them.

The reveal turned out to be anticlimactic: a promotional push for the official White House app. But the episode demonstrated how thoroughly official communication has absorbed the aesthetics of leaks, virality, and platform-native intrigue. Even when official accounts adopt the aesthetics of a leak, questioning whether a record is real or synthetic is the only defensive move left.

Real vs. Synthetic: The New Friction

A zero digital footprint used to signal authenticity. Now, it can signal the opposite. The absence of a trail no longer means something is original—it may mean it was never captured by a lens at all. The signal has inverted. Truth lags; engagement leads.

Automated traffic now commands an estimated 51 percent of internet activity, scaling eight times faster than human traffic according to the 2026 State of AI Traffic & Cyberthreat Benchmark Report. These systems don’t just distribute content, they prioritize low-quality virality, ensuring the synthetic record travels while verification is still catching up.

Open source investigators are still holding the line, but they are fighting a volume war. The rise of hyperactive “super sharers,” often backed by paid verification, adds a layer of false authority that traditional open source intelligence (OSINT) now has to navigate.

“We’re perpetually catching up to someone pressing repost without a second thought,” says Maryam Ishani, an OSINT journalist covering the conflict. “The algorithm prioritizes that reflex, and our information is always going to be one step behind.”

At the same time, the surge of war-monitoring accounts is beginning to interfere with reporting itself. Manisha Ganguly, visual forensics lead at The Guardian and an OSINT specialist investigating war crimes, points to the false certainty created by the flood of aggregated content on Telegram and X.

“Open source verification starts to create false certainty when it stops being a method of inquiry—through confirmation bias, or when OSINT is used to cosmetically validate official accounts or knowingly misapplied to align with ideological narratives rather than interrogate them,” Ganguly says.

While this plays out, the verification toolkit itself is becoming harder to access. On April 4, Planet Labs—one of the most relied-upon commercial satellite providers for conflict journalism—announced it would indefinitely withhold imagery of Iran and the broader Middle East conflict zone, retroactive to March 9, following a request from the US government.

The response from US defense secretary Pete Hegseth to concerns about the delay was unambiguous: “Open source is not the place to determine what did or did not happen.”

That shift matters. When access to primary visual evidence is restricted, the ability to independently verify events narrows. And in that narrowing gap, something else expands: Generative AI doesn’t just fill the silence—it competes to define what’s seen in the first place.

Generative AI Is Getting Harder to Spot

Generative AI platforms have been learning from their mistakes. Henk van Ess, an investigative trainer and verification specialist, says many of the classic tells—incorrect finger counts, garbled protest signs, distorted text—have largely been fixed in the latest generation of models. Tools like Imagen 3, Midjourney, and Dall·E have improved in prompt understanding, photorealism, and text-in-image rendering.

But the harder problem is what van Ess calls the hybrid.

#Internet #Broke #Everyones #Bullshit #Detectorspropaganda,artificial intelligence,open source,satellite images,iran,war,politics">How the Internet Broke Everyone’s Bullshit Detectors

Lego-style propaganda videos alleging war crimes are flooding online feeds, echoing the White House’s own turn toward cryptic teaser clips and meme-native visuals. This is not just content drift. It is a new front in the information war, one where speed, ambiguity, and algorithmic reach matter as much as accuracy.

One Iran-linked outlet, Explosive News, can reportedly turn around a two-minute synthetic Lego segment in about 24 hours. The speed is the point. Synthetic media does not need to hold up forever; it only needs to travel before verification catches up.

Last month, the White House added to that confusion when it posted two vague “launching soon” videos, then removed them after online investigators and open source researchers began dissecting them.

The reveal turned out to be anticlimactic: a promotional push for the official White House app. But the episode demonstrated how thoroughly official communication has absorbed the aesthetics of leaks, virality, and platform-native intrigue. Even when official accounts adopt the aesthetics of a leak, questioning whether a record is real or synthetic is the only defensive move left.

Real vs. Synthetic: The New Friction

A zero digital footprint used to signal authenticity. Now, it can signal the opposite. The absence of a trail no longer means something is original—it may mean it was never captured by a lens at all. The signal has inverted. Truth lags; engagement leads.

Automated traffic now commands an estimated 51 percent of internet activity, scaling eight times faster than human traffic according to the 2026 State of AI Traffic & Cyberthreat Benchmark Report. These systems don’t just distribute content, they prioritize low-quality virality, ensuring the synthetic record travels while verification is still catching up.

Open source investigators are still holding the line, but they are fighting a volume war. The rise of hyperactive “super sharers,” often backed by paid verification, adds a layer of false authority that traditional open source intelligence (OSINT) now has to navigate.

“We’re perpetually catching up to someone pressing repost without a second thought,” says Maryam Ishani, an OSINT journalist covering the conflict. “The algorithm prioritizes that reflex, and our information is always going to be one step behind.”

At the same time, the surge of war-monitoring accounts is beginning to interfere with reporting itself. Manisha Ganguly, visual forensics lead at The Guardian and an OSINT specialist investigating war crimes, points to the false certainty created by the flood of aggregated content on Telegram and X.

“Open source verification starts to create false certainty when it stops being a method of inquiry—through confirmation bias, or when OSINT is used to cosmetically validate official accounts or knowingly misapplied to align with ideological narratives rather than interrogate them,” Ganguly says.

While this plays out, the verification toolkit itself is becoming harder to access. On April 4, Planet Labs—one of the most relied-upon commercial satellite providers for conflict journalism—announced it would indefinitely withhold imagery of Iran and the broader Middle East conflict zone, retroactive to March 9, following a request from the US government.

The response from US defense secretary Pete Hegseth to concerns about the delay was unambiguous: “Open source is not the place to determine what did or did not happen.”

That shift matters. When access to primary visual evidence is restricted, the ability to independently verify events narrows. And in that narrowing gap, something else expands: Generative AI doesn’t just fill the silence—it competes to define what’s seen in the first place.

Generative AI Is Getting Harder to Spot

Generative AI platforms have been learning from their mistakes. Henk van Ess, an investigative trainer and verification specialist, says many of the classic tells—incorrect finger counts, garbled protest signs, distorted text—have largely been fixed in the latest generation of models. Tools like Imagen 3, Midjourney, and Dall·E have improved in prompt understanding, photorealism, and text-in-image rendering.

But the harder problem is what van Ess calls the hybrid.

#Internet #Broke #Everyones #Bullshit #Detectorspropaganda,artificial intelligence,open source,satellite images,iran,war,politics

Today’s Connections: Sports Edition is tricky! There are some red herrings you’ll have to avoid.

As we’ve shared in previous hints stories, this is a version of the popular New York Times word game that seeks to test the knowledge of sports fans.

Like the original Connections, the game is all about finding the “common threads between words.” And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier — so we’ve served up some hints and tips to get you over the hurdle.

If you just want to be told today’s puzzle, you can jump to the end of this article for the latest Connections solution. But if you’d rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.

What is Connections: Sports Edition?

The NYT‘s latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication’s sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.

Each puzzle features 16 words, and each grouping of words is split into four categories. These sets could comprise anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there’s only one correct answer.

If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake — players get up to four mistakes before the game ends.

Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.

Here’s a hint for today’s Connections: Sports Edition categories

Want a hint about the categories without being told the categories? Then give these a try:

Here are today’s Connections: Sports Edition categories

Need a little extra help? Today’s connections fall into the following categories:

  • Yellow: MLB Teams, Colloquially

  • Green: UCLA

  • Blue: Can Follow Minnesota

  • Purple: Starts With Part of the Body

Looking for Wordle today? Here’s the answer to today’s Wordle.

Ready for the answers? This is your last chance to turn back and solve today’s puzzle before we reveal the solutions.

Drumroll, please!

The solution to today’s Connections: Sports Edition #565 is…

What is the answer to Connections: Sports Edition today?

  • MLB Teams, Colloquially — D-BACKS, JAYS, PHILS, SOX

  • UCLA — ANGELES, CALIFORNIA, LOS, UNIVERSITY

  • Can Follow Minnesota — LYNX, UNITED, VIKINGS, WILD

  • Starts With Part of the Body — ARMY, EARTHQUAKES, LEGACY, LIVERPOOL

Don’t feel down if you didn’t manage to guess it this time. There will be new sports Connections for you to stretch your brain with tomorrow, and we’ll be back again to guide you with more helpful hints.

Are you also playing NYT Strands? See hints and answers for today’s Strands.

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

Not the day you’re after? Here’s the solution to yesterday’s Connections.

#NYT #Connections #Sports #Edition #hints #answers #April #Tips #solve #Connections">NYT Connections Sports Edition hints and answers for April 11: Tips to solve Connections #565
                                                            Today’s Connections: Sports Edition is tricky! There are some red herrings you’ll have to avoid.As we’ve shared in previous hints stories, this is a version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the “common threads between words.” And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier — so we’ve served up some hints and tips to get you over the hurdle.If you just want to be told today’s puzzle, you can jump to the end of this article for the latest Connections solution. But if you’d rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.
        SEE ALSO:
        
            Mahjong, Sudoku, free crossword, and more: Play games on Mashable
            
        
    
What is Connections: Sports Edition?The NYT‘s latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication’s sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.
    
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Each puzzle features 16 words, and each grouping of words is split into four categories. These sets could comprise anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there’s only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake — players get up to four mistakes before the game ends.
    
        This Tweet is currently unavailable. It might be loading or has been removed.
    


Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.
        
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        SEE ALSO:
        
            Wordle-obsessed? These are the best word games to play IRL.
            
        
    
Here’s a hint for today’s Connections: Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Here are today’s Connections: Sports Edition categoriesNeed a little extra help? Today’s connections fall into the following categories:Yellow: MLB Teams, ColloquiallyGreen: UCLABlue: Can Follow MinnesotaPurple: Starts With Part of the BodyLooking for Wordle today? Here’s the answer to today’s Wordle.Ready for the answers? This is your last chance to turn back and solve today’s puzzle before we reveal the solutions.Drumroll, please!The solution to today’s Connections: Sports Edition #565 is…What is the answer to Connections: Sports Edition today?MLB Teams, Colloquially — D-BACKS, JAYS, PHILS, SOXUCLA — ANGELES, CALIFORNIA, LOS, UNIVERSITYCan Follow Minnesota — LYNX, UNITED, VIKINGS, WILDStarts With Part of the Body — ARMY, EARTHQUAKES, LEGACY, LIVERPOOLDon’t feel down if you didn’t manage to guess it this time. There will be new sports Connections for you to stretch your brain with tomorrow, and we’ll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today’s Strands.If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you’re after? Here’s the solution to yesterday’s Connections.

                    
                                            
                            
                        
                                    #NYT #Connections #Sports #Edition #hints #answers #April #Tips #solve #Connections

New York Times word game that seeks to test the knowledge of sports fans.

Like the original Connections, the game is all about finding the “common threads between words.” And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier — so we’ve served up some hints and tips to get you over the hurdle.

If you just want to be told today’s puzzle, you can jump to the end of this article for the latest Connections solution. But if you’d rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.

What is Connections: Sports Edition?

The NYT‘s latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication’s sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.

Each puzzle features 16 words, and each grouping of words is split into four categories. These sets could comprise anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there’s only one correct answer.

If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake — players get up to four mistakes before the game ends.

Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.

Here’s a hint for today’s Connections: Sports Edition categories

Want a hint about the categories without being told the categories? Then give these a try:

Here are today’s Connections: Sports Edition categories

Need a little extra help? Today’s connections fall into the following categories:

  • Yellow: MLB Teams, Colloquially

  • Green: UCLA

  • Blue: Can Follow Minnesota

  • Purple: Starts With Part of the Body

Looking for Wordle today? Here’s the answer to today’s Wordle.

Ready for the answers? This is your last chance to turn back and solve today’s puzzle before we reveal the solutions.

Drumroll, please!

The solution to today’s Connections: Sports Edition #565 is…

What is the answer to Connections: Sports Edition today?

  • MLB Teams, Colloquially — D-BACKS, JAYS, PHILS, SOX

  • UCLA — ANGELES, CALIFORNIA, LOS, UNIVERSITY

  • Can Follow Minnesota — LYNX, UNITED, VIKINGS, WILD

  • Starts With Part of the Body — ARMY, EARTHQUAKES, LEGACY, LIVERPOOL

Don’t feel down if you didn’t manage to guess it this time. There will be new sports Connections for you to stretch your brain with tomorrow, and we’ll be back again to guide you with more helpful hints.

Are you also playing NYT Strands? See hints and answers for today’s Strands.

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

Not the day you’re after? Here’s the solution to yesterday’s Connections.

#NYT #Connections #Sports #Edition #hints #answers #April #Tips #solve #Connections">NYT Connections Sports Edition hints and answers for April 11: Tips to solve Connections #565

Today’s Connections: Sports Edition is tricky! There are some red herrings you’ll have to avoid.

As we’ve shared in previous hints stories, this is a version of the popular New York Times word game that seeks to test the knowledge of sports fans.

Like the original Connections, the game is all about finding the “common threads between words.” And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier — so we’ve served up some hints and tips to get you over the hurdle.

If you just want to be told today’s puzzle, you can jump to the end of this article for the latest Connections solution. But if you’d rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.

What is Connections: Sports Edition?

The NYT‘s latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication’s sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.

Each puzzle features 16 words, and each grouping of words is split into four categories. These sets could comprise anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there’s only one correct answer.

If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake — players get up to four mistakes before the game ends.

Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.

Here’s a hint for today’s Connections: Sports Edition categories

Want a hint about the categories without being told the categories? Then give these a try:

Here are today’s Connections: Sports Edition categories

Need a little extra help? Today’s connections fall into the following categories:

  • Yellow: MLB Teams, Colloquially

  • Green: UCLA

  • Blue: Can Follow Minnesota

  • Purple: Starts With Part of the Body

Looking for Wordle today? Here’s the answer to today’s Wordle.

Ready for the answers? This is your last chance to turn back and solve today’s puzzle before we reveal the solutions.

Drumroll, please!

The solution to today’s Connections: Sports Edition #565 is…

What is the answer to Connections: Sports Edition today?

  • MLB Teams, Colloquially — D-BACKS, JAYS, PHILS, SOX

  • UCLA — ANGELES, CALIFORNIA, LOS, UNIVERSITY

  • Can Follow Minnesota — LYNX, UNITED, VIKINGS, WILD

  • Starts With Part of the Body — ARMY, EARTHQUAKES, LEGACY, LIVERPOOL

Don’t feel down if you didn’t manage to guess it this time. There will be new sports Connections for you to stretch your brain with tomorrow, and we’ll be back again to guide you with more helpful hints.

Are you also playing NYT Strands? See hints and answers for today’s Strands.

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

Not the day you’re after? Here’s the solution to yesterday’s Connections.

#NYT #Connections #Sports #Edition #hints #answers #April #Tips #solve #Connections

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