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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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Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural.

Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:

Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.”

Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.

Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for.

READ MORE:

The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’

OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode

#OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model">OpenAI Just Can’t Beat This TikToker
                Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural. Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:  Had to give the new voice model the classic test pic.twitter.com/fQYHbBRNuL — Husk (@huskirl) July 8, 2026  Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

 To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

 It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.” Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

 Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.  OpenAI’s brand new voice model vs counting the r’s in strawberry. I really tried to help it along. pic.twitter.com/Pm0RfLyxIA — Himelstech (@himelstech) July 9, 2026  Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for. READ MORE: The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’ OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode      #OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural.

Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:

Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.”

Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.

Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for.

READ MORE:

The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’

OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode

#OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model">OpenAI Just Can’t Beat This TikTokerOpenAI Just Can’t Beat This TikToker
                Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural. Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:  Had to give the new voice model the classic test pic.twitter.com/fQYHbBRNuL — Husk (@huskirl) July 8, 2026  Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

 To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

 It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.” Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

 Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.  OpenAI’s brand new voice model vs counting the r’s in strawberry. I really tried to help it along. pic.twitter.com/Pm0RfLyxIA — Himelstech (@himelstech) July 9, 2026  Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for. READ MORE: The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’ OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode      #OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural.

Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:

Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.”

Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.

Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for.

READ MORE:

The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’

OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode

#OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

Friendly home robots have been the dream of sci-fi for a long time. Docile, helpful machines that do your laundry, take out the trash, maybe make dinner, and clean up afterward too. But if robots are going to do all that, they’re going to need some hands to make all that happen.

1X, a Norwegian-American robotics company, today revealed details about the five-finger hands attached to its soft, helpful robot companion, Neo.

The hands are built with actuators designed to replicate how tendons in the arms move human hands. 1X says this gives Neo’s hands 25 degrees of freedom of movement, which is just a little less than the 27 degrees of freedom human hands usually have. Cameras and AI smarts help sort out the broader context of what the fingers are trying to grab. It’s a dexterous mix that gives the Neo bot a very broad range of motion. 1X says the hands can grip odd shapes and detect when something is slipping out of its grip. The fingers can also move extremely quickly and hyperextend in directions human digits can’t. They also have an IP68 waterproof rating, meaning the robot can wash its own hands.

Courtesy of 1X

It’s a range that the engineers have aimed to dial in to align with what a human can actually do. Jonathan Terfurth, 1X’s director of actuators and hands, says the range of motion might even be better than a human’s, enabling it to open doors, lift heavy objects, and even plug itself in when its battery starts to die.

“You want to be able to operate with a human who has never worked or interfaced with a robot, and you still want it to be safe and compliant and soft,” Terfurth says. “Range of motion can be a bit extreme, but we try to be very close to what humans can do so that we can live in the world.”

Together, this is part of a growing ChatGPT-esque moment for robotics, where bots have gone from clumsy claw machines to capable handlers, able to gently carry fragile objects and become increasingly helpful for managing menial daily tasks and boring office chores.

The humanoid robot market tends to be dominated by tough, hulking Terminators meant to be paraded out for some defense industry contract or another. 1X is taking a different tack for its robot. The Neo is a soft, supple robot wrapped in a 3D lattice shell. Its design is inspired by characters like Baymax, the affable robot from the Disney movie Big Hero 6. In limited quantities, early access pricing is $20,000 or $500 per month to have it in your home, though the lump sum will prioritize delivery for 2026.

#Neo #Robot #Freaky #Fast #Fingersrobots,robotics,artificial intelligence">The 1X Neo Robot Has Freaky Fast FingersFriendly home robots have been the dream of sci-fi for a long time. Docile, helpful machines that do your laundry, take out the trash, maybe make dinner, and clean up afterward too. But if robots are going to do all that, they’re going to need some hands to make all that happen.1X, a Norwegian-American robotics company, today revealed details about the five-finger hands attached to its soft, helpful robot companion, Neo.The hands are built with actuators designed to replicate how tendons in the arms move human hands. 1X says this gives Neo’s hands 25 degrees of freedom of movement, which is just a little less than the 27 degrees of freedom human hands usually have. Cameras and AI smarts help sort out the broader context of what the fingers are trying to grab. It’s a dexterous mix that gives the Neo bot a very broad range of motion. 1X says the hands can grip odd shapes and detect when something is slipping out of its grip. The fingers can also move extremely quickly and hyperextend in directions human digits can’t. They also have an IP68 waterproof rating, meaning the robot can wash its own hands.Courtesy of 1XIt’s a range that the engineers have aimed to dial in to align with what a human can actually do. Jonathan Terfurth, 1X’s director of actuators and hands, says the range of motion might even be better than a human’s, enabling it to open doors, lift heavy objects, and even plug itself in when its battery starts to die.“You want to be able to operate with a human who has never worked or interfaced with a robot, and you still want it to be safe and compliant and soft,” Terfurth says. “Range of motion can be a bit extreme, but we try to be very close to what humans can do so that we can live in the world.”Together, this is part of a growing ChatGPT-esque moment for robotics, where bots have gone from clumsy claw machines to capable handlers, able to gently carry fragile objects and become increasingly helpful for managing menial daily tasks and boring office chores.The humanoid robot market tends to be dominated by tough, hulking Terminators meant to be paraded out for some defense industry contract or another. 1X is taking a different tack for its robot. The Neo is a soft, supple robot wrapped in a 3D lattice shell. Its design is inspired by characters like Baymax, the affable robot from the Disney movie Big Hero 6. In limited quantities, early access pricing is ,000 or 0 per month to have it in your home, though the lump sum will prioritize delivery for 2026.#Neo #Robot #Freaky #Fast #Fingersrobots,robotics,artificial intelligence

ChatGPT-esque moment for robotics, where bots have gone from clumsy claw machines to capable handlers, able to gently carry fragile objects and become increasingly helpful for managing menial daily tasks and boring office chores.

The humanoid robot market tends to be dominated by tough, hulking Terminators meant to be paraded out for some defense industry contract or another. 1X is taking a different tack for its robot. The Neo is a soft, supple robot wrapped in a 3D lattice shell. Its design is inspired by characters like Baymax, the affable robot from the Disney movie Big Hero 6. In limited quantities, early access pricing is $20,000 or $500 per month to have it in your home, though the lump sum will prioritize delivery for 2026.

#Neo #Robot #Freaky #Fast #Fingersrobots,robotics,artificial intelligence">The 1X Neo Robot Has Freaky Fast Fingers

Friendly home robots have been the dream of sci-fi for a long time. Docile, helpful machines that do your laundry, take out the trash, maybe make dinner, and clean up afterward too. But if robots are going to do all that, they’re going to need some hands to make all that happen.

1X, a Norwegian-American robotics company, today revealed details about the five-finger hands attached to its soft, helpful robot companion, Neo.

The hands are built with actuators designed to replicate how tendons in the arms move human hands. 1X says this gives Neo’s hands 25 degrees of freedom of movement, which is just a little less than the 27 degrees of freedom human hands usually have. Cameras and AI smarts help sort out the broader context of what the fingers are trying to grab. It’s a dexterous mix that gives the Neo bot a very broad range of motion. 1X says the hands can grip odd shapes and detect when something is slipping out of its grip. The fingers can also move extremely quickly and hyperextend in directions human digits can’t. They also have an IP68 waterproof rating, meaning the robot can wash its own hands.

Courtesy of 1X

It’s a range that the engineers have aimed to dial in to align with what a human can actually do. Jonathan Terfurth, 1X’s director of actuators and hands, says the range of motion might even be better than a human’s, enabling it to open doors, lift heavy objects, and even plug itself in when its battery starts to die.

“You want to be able to operate with a human who has never worked or interfaced with a robot, and you still want it to be safe and compliant and soft,” Terfurth says. “Range of motion can be a bit extreme, but we try to be very close to what humans can do so that we can live in the world.”

Together, this is part of a growing ChatGPT-esque moment for robotics, where bots have gone from clumsy claw machines to capable handlers, able to gently carry fragile objects and become increasingly helpful for managing menial daily tasks and boring office chores.

The humanoid robot market tends to be dominated by tough, hulking Terminators meant to be paraded out for some defense industry contract or another. 1X is taking a different tack for its robot. The Neo is a soft, supple robot wrapped in a 3D lattice shell. Its design is inspired by characters like Baymax, the affable robot from the Disney movie Big Hero 6. In limited quantities, early access pricing is $20,000 or $500 per month to have it in your home, though the lump sum will prioritize delivery for 2026.

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