Technologies

Apple M2 Pro and Max Chips Repeat a Successful Upgrade Strategy

First the M2. Now we’ve got the M2 Pro and M2 Max. Maybe we’ll see an M2 Ultra processor powering Apple Mac Pro computers in the coming months.

With its M2 Pro and M2 Max processors, Apple is repeating a strategy that worked well for its earlier M1 designs. By grafting some extra circuitry onto an efficient chip foundation, Apple can offer a significant upgrade to its new M2-based MacBook Pro laptops without a full chip overhaul.

Apple introduced its first in-house Mac processor, the M1, for MacBook Air laptops that arrived in 2020. The M1 already took advantage of chip design work for the iPhone’s A-series chips, but Apple beefed up the M1 with more processing cores to make the M1 Pro and M1 Max in late 2021 for higher-end MacBook Pro laptops. Then, in 2022, it glued two M1 Max chips together into the top-end M1 Ultra.

Now, Apple is headed the same route with the M2, which debuted in 2022 and now is joined by the M2 Pro and M2 Max for new MacBook Pro models. If history continues to repeat itself, we could see a Mac Pro based on a hulking M2 Ultra processor in the coming months.

The chips’ speed boost over M1 equivalents that debuted 15 months ago is significant — 20% at least by Apple’s measurements. Owners of year-old M1-generation MacBook Pro laptops to upgrade. But for those using older Macs based on the older Intel chips Apple ejected from its product line, the speed boost and better battery life could be much more compelling.

«These new Macs should help entice moving off Intel to M series in 23,» Creative Strategies analyst Ben Bajarin said in a tweet Tuesday. His firm estimates 42% of Mac owners in the US are still using Intel-based models, and the fraction is probably higher worldwide.

Apple didn’t respond to requests for comment. Intel declined to comment.

How did Apple speed up the M2 Pro and M2 Max chips?

The M2 Pro and Max chips are faster thanks to new designs for the chip’s central processing unit cores for general computation and graphics processing unit cores for handling graphics tasks and some other jobs that work on GPUs. The new designs also have more CPUs, GPUs and another core type for accelerating artificial intelligence tasks, which Apple calls its Neural Engine.

The M1 Pro has eight or 10 CPU cores, depending on configuration, and the M1 Max has 10. The M2 Pro has 10 or 12, and the M2 Max has 12. The M2 generation is 20% faster, Apple said, citing unspecified but industry standard speed tests.

CPU performance is the foundation of everything a processor does, and all the M-series Pro and Max models employ four power-efficient CPU cores for better battery life. The remaining CPU cores offer higher performance cores for more important work. Intel also has adopted this approach, pioneered for smartphones.

For GPUs, used for tasks like playing games and editing photos and videos, the M1 Pro came with 14 or 16 cores and the M1 Max with 16 to 32 cores. The M2 Pro boosts that to 16 or 19 GPU cores, and the M2 Max to 30 or 38. The M2 GPU performance is 30% faster, though part of the speed boost comes from better cache memory on the chip, Apple said.

The neural engine has 16 cores on both M1 and M2 generations, but Apple boasts its AI performance is 40% faster with the new chips. AI software is just getting started, but it’s used in important jobs like some Adobe Photoshop image editing, and you can expect that AI performance to become more and more important as more developers figure it out.

Speed boosts compared to Intel-based Macs, which use years-old Intel chips, are more notable. The M2 Pro is 2.5 times faster at compiling software and 80% faster at Photoshop image editing compared with an older 16-inch MacBook with an Intel i9 processor, Apple said. As for the M2 Max, it’s twice fast at video color adjustments and six times faster at Da Vinci Resolve video editing.

Some of the speed boost on the M2 Max comes from faster memory transfer, doubling to 400 megabytes per second, which helps with data-heavy chores like video editing and 3D modeling. The M2 Max new models also accommodate up to 96GB of memory, up from 64GB on the M1 Max.

We won’t see third-party speed tests until MacBook Pro reviews with the M2 Pro and Max processors arrive. CNET editor Dan Ackerman gave the M2-based MacBook Air an editor’s choice accolade, citing its «excellent performance and battery life.»

That model came with a $200 price increase over its predecessor, though, and the M2-generation MacBook Pro laptops aren’t cheap, either. The model with a 14-inch screen and lowest-end 10-core M2 Pro costs $1,999; with a 12-core M2 Max and other improvements, the price increases to $3,099. The 16-inch models start at $2,499 but rise to $3,499 with an M2 Max processor and more storage capacity.

How are the M2 Pro and M2 Max chips built?

As with all Apple-designed processors for the last few years, Taiwan Semiconductor Manufacturing Co. (TSMC) builds the chips.

As with the M2, the M2 Pro and Max are built with a second-generation 5-nanometer manufacturing process. (A nanometer is a billionth of a meter, and chip manufacturing processes with lower nanometers refer to more advanced manufacturing processes. However, for years now, the numbers have been mere labels of convenience, not actual measurements signifying actual miniaturization progress.)

New manufacturing processes shrink chips’ fundamental electronic elements, called transistors, although that miniaturization is harder these days. That permits more circuitry on a chip. The transistor tally increased from 33.7 billion in the M1 Pro to 40 billion in the M2 Pro; the Max models increased from 57 billion to 67 billion.

TSMC has begun mass product manufacturing on a newer 3 nanometer (3nm) process. Expect that to be used for future iPhone, iPad and Mac processors, a move that should permit even more transistors.

Technologies

I’ve Seen It With My Own Eyes: The Robots Are Here and Walking Among Us

The «physical AI» boom has created a world of opportunity for robot makers, and they’re not holding back.

It’s been 24 years since CNET first published an article with the headline The robots are coming. It’s a phrase I’ve repeated in my own writing over the years — mostly in jest. But now in 2026, for the first time, I feel confident in declaring that the robots have finally arrived.

I kicked off this year, as I often do, wandering the halls of the Las Vegas Convention Center and its hotel-based outposts on the lookout for the technology set to define the next 12 months. CES has always been a hotbed of activity for robots, but more often than not, a robot that makes a flashy Vegas debut doesn’t go on to have a rich, meaningful career in the wider world.

In fact, as cute as they often are and as fun as they can be to interact with on the show floor, most robots I’ve seen at CES over the years amount to little more than gimmicks. They either come back year after year with no notable improvements or are never seen or heard from again.

In more than a decade of covering the show, I’ve been waiting for a shift to occur. In 2026, I finally witnessed it. From Hyundai unveiling the final product version of the Boston Dynamics Atlas humanoid robot in its press conference to Nvidia CEO Jensen Huang’s focus on «physical AI» during his keynote, a sea change was evident this year in how people were talking about robots.

«We’ve had this dream of having robots everywhere for decades and decades,» Rev Lebaredian, Nvidia’s vice president of Omniverse and simulation told me on the sidelines of the chipmaker’s vast exhibition at the glamorous Fontainebleau Hotel. «It’s been in sci-fi as long as we can remember.»

Throughout the show, I felt like I was watching that sci-fi vision come to life. Everywhere I went, I was stumbling upon robot demos (some of which will be entering the market this year) drawing crowds, like the people lining up outside Hyundai’s booth to see the new Atlas in action.

So what’s changed? Until now, «we didn’t have the technology to create the brain of a robot,» Lebaredian said.

AI has unlocked our ability to apply algorithms to language, and it’s being applied to the physical world, changing everything for robots and those who make them.

The physical AI revolution

What truly makes a robot a robot? Rewind to CES 2017: I spent my time at the show asking every robotics expert that question, sparked by the proliferation of autonomous vehicles, drones and intelligent smart home devices.

This exercise predated the emergence of generative AI and models such as OpenAI’s ChatGPT, but already I could see that by integrating voice assistants into their products, companies were beginning to blur the boundaries of what could be considered robotics.

Not only has the tech evolved since that time, but so has the language we use to talk about it. At CES 2026, the main topic of conversation seemed to be «physical AI.» It’s an umbrella term that can encompass everything from self-driving cars to robots.

«If you have any physical embodiments, where AI is not only used to perceive the environment, but actually to take decisions and actions that interact with the environment around it … then it’s physical AI,» Ahmed Sadek, head of physical AI and vice president of engineering at chipmaker Qualcomm told me.

Autonomous vehicles have been the easiest expression of physical AI to build so far, according to Lebaredian, simply because their main challenge is to dodge objects rather than interact with them. «Avoiding touching things is a lot easier than manipulating things,» he said.

Still, the development of self-driving vehicles has done much of the heavy lifting on the hardware, setting the stage for robot development to accelerate at a rapid pace now that the software required to build a brain is catching up.

For Nvidia, which worked on the new Atlas robot with Boston Dynamics, and Qualcomm, which announced its latest robotics platform at CES, these developments present a huge opportunity.

But that opportunity also extends to start-ups. Featured prominently at the CES 2026 booth of German automotive company Schaeffler was the year-and-a-half-old British company Humanoid, demonstrating the capabilities of its robot HMND 01.

The wheeled robot was built in just seven months Artem Sokolov, Humanoid’s CEO, told me, as we watch it sort car parts with its pincerlike hands. «We built our bipedal one for service and household much faster — in five months,» Sokolov added.

Humanoid’s speed can be accounted for by the AI boom plus an influx of talent recruited from top robotics companies, said Sokolov. The company has already signed around 25,000 preorders for HMND 01 and completed pilots with six Fortune 500 companies, he said.

This momentum extends to the next generation of Humanoid’s robots, where Sokolov doesn’t foresee any real bottlenecks. The main factors dictating the pace will be improvements in AI models and making the hardware more reliable and cost effective.

Humanoid hype hits its peak

Humanoid the company might have the rights to the name, but the concept of humanoids is a wider domain.

By the end of last year, the commercialization of humanoid robots had entered an «explosive phase of growth,» with a 508% year-on-year increase in global market revenue to $440 million, according to a report released by IDC this month.

At CES, Qualcomm’s robot demonstration showed how its latest platform could be adapted across different forms, including a robotic arm that could assemble a sandwich. But it was the humanoids at its booth that caused everyone to pull out their phones and start filming.

«Our vision is that if you have any embodiment, any mechatronic system, our platform should be able to transform it to a continuously learning intelligent robot,» said Qualcomm’s Sadek. But, he added, the major benefit of the humanoid form is its «flexibility.»

Some in the robotics world have criticized the focus on humanoids, due to their replication of our own limitations. It’s a notion that Lebaredian disagrees with, pointing out that we’ve designed our world around us and that robots need to be able to operate within it.

«There are many tasks that are dull, dangerous and dirty — they call it the three Ds — that are being done by humans today, that we have labor shortages for and that this technology can potentially go help us with,» he said.

We already have many specialist robots working in factories around the world, Lebaredian added. With their combination of arms, legs and mobility, humanoids are «largely a superset of all of the other kinds of robots» and, as such, are perfect for the more general-purpose work we need help with.

The hype around robots — and humanoids in particular — at CES this year felt intense. Even Boston Dynamics CEO Robert Playter acknowledged this in a Q&A with reporters moments after he unveiled the new Atlas on stage.

But it’s not just hype, Playter insisted, because Boston Dynamics is already demonstrating that they can put thousands of robots in the market. «That is not an indication of a hype cycle, but actually an indication of an emerging industry,» he said.

A huge amount of money is being poured into a rapidly growing number of robotics start-ups. The rate of this investment is a signal that the tech is ready to go, according to Nvidia’s Lebaredian.

«It’s because, fundamentally, the experts, people who understand this stuff, now believe, technically, it’s all possible,» he said. «We’ve switched from a scientific problem of discovery to an engineering problem.»

Robot evolution: From industry to home

From what I observed at the show, this engineering «problem» is one that many companies have already solved. Robots such as Atlas and HMND 01 have crossed the threshold from prototype to factory ready. The question for many of us will be as to when will these robots be ready for our homes.

Playter has openly talked about Boston Dynamics’ ambitions in this regard. He sees Atlas evolving into a home robot — but not yet. Some newer entrants to the robotics market — 1X, Sunday Robotics and Humanoid among them — are keen to get their robots into people’s homes in the next couple of years. Playter cautions against this approach.

«Companies are advertising that they want to go right to the home,» he said. «We think that’s the wrong strategy.»

The reasons he listed are twofold: pricing and safety. Playter echoed a sentiment I’ve heard elsewhere: that the first real use for home humanoid robots will be to carry out care duties for disabled and elderly populations. Perhaps in 20 years, you will have a robot carry you in and out of bed, but relying on one to do so when you’re in a vulnerable state poses «critical safety issue,» he said.

Putting robots in factories first allows people to work closely with them while keeping a safe distance, allowing those safety kinks to be ironed out. The deployment of robots at scale in industrial settings will also lead to mass manufacturing of components that will, at some point, make robots affordable for the rest of us, said Playter (unlike 1X’s $20,000 Neo robot, for example).

Still, he imagines the business model will be «robots as a service,» even when they do first enter our homes. Elder care itself is a big industry with real money being spent that could present Boston Dynamics with a market opportunity as Atlas takes its first steps beyond the factory floor.

«I spent a lot of money … with my mom in specialty care the last few years,» he said. «Having robots that can preserve autonomy and dignity at home, I think people will actually spend money — maybe $20K a year.»

The first «care» robots are more likely to be companion robots. This year at the CES, Tombot announced that its robotic labrador, Jennie, who first charmed me back at the show in 2020, is finally ready to go on sale. It served as yet another signal to me that the robots are ready to lead lives beyond the convention center walls.

Unlike in previous years, I left Vegas confident that I’ll be seeing more of this year’s cohort of CES robots in the future. Maybe not in my home just yet, but it’s time to prepare for a world in which robots will increasingly walk among us.

Technologies

Today’s Wordle Hints, Answer and Help for Jan. 29, #1685

Here are hints and the answer for today’s Wordle for Jan. 29, No. 1,685.

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

Today’s Wordle puzzle was a tough one for me. I never seem to guess three of the letters in this word. If you need a new starter word, check out our list of which letters show up the most in English words. If you need hints and the answer, read on.

Today’s Wordle hints

Before we show you today’s Wordle answer, we’ll give you some hints. If you don’t want a spoiler, look away now.

Wordle hint No. 1: Repeats

Today’s Wordle answer has no repeated letters.

Wordle hint No. 2: Vowels

Today’s Wordle answer has one vowel and one sometimes vowel.

Wordle hint No. 3: First letter

Today’s Wordle answer begins with F.

Wordle hint No. 4: Last letter

Today’s Wordle answer ends with Y.

Wordle hint No. 5: Meaning

Today’s Wordle answer can refer to a pastry that breaks apart easily.

TODAY’S WORDLE ANSWER

Today’s Wordle answer is FLAKY.

Yesterday’s Wordle answer

Yesterday’s Wordle answer, Jan. 28, No. 1684 was CRUEL.

Recent Wordle answers

Jan. 24, No. 1680: CLIFF

Jan. 25, No. 1681: STRUT

Jan. 26, No. 1682: FREAK

Jan. 27, No. 1683: DUSKY

Don’t miss any of our unbiased tech content and lab-based reviews. Add CNET as a preferred Google source.

Technologies

Today’s NYT Strands Hints, Answers and Help for Jan. 29 #697

Here are hints and answers for the NYT Strands puzzle for Jan. 29, No. 697.

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

Today’s NYT Strands puzzle is a bit of a puzzler until you realize the theme. Some of the answers are difficult to unscramble, so if you need hints and answers, read on.

I go into depth about the rules for Strands in this story.

If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.

Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far

Hint for today’s Strands puzzle

Today’s Strands theme is: Talk of the town.

If that doesn’t help you, here’s a clue: What a legend.

Clue words to unlock in-game hints

Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints but any words of four or more letters that you find will work:

ROIL, CLAIM, RARE, HELP, PEAR, PEARS, MORE, COIN, SPEAR, SPEARS

Answers for today’s Strands puzzle

These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers: