Technologies
The Marvel Rivals Auto Battler Is a Natural Evolution of Hero Shooters
Move over Teamfight Tactics. Marvel Rivals’ new limited-time mode is the perfect addition to the auto battler genre.
Marvel Rivals has been a breath of fresh air for the hero shooter genre, combining popular comic book characters and chaotic third-person shooter action to create epic team fights that keep me coming back for more.
Fast-paced combat is the name of the game in Marvel Rivals, which is why it could come across as a confusing development that the next limited-time mode launching in Marvel Rivals Season 2.5 is a form of auto battler (also frequently referred to as auto chess).
Ultron’s Battle Matrix Protocol is an experimental mode launching on June 6, where six players will draft teams of heroes to go head to head with their opponents’ drafts. You’ll be able to support your AI teams while the new hero Ultron (also debuting in season 2.5) is chipping in extra healing and damage to the fight.
Aside from the fact that it’ll be cool to stage your own version of Marvel Comics’ Secret Wars, is the decision to add an auto battler to Marvel Rivals (which has previously released limited-time modes that mostly tracked with the shooter’s core gameplay loop) really all that far out of left field? I don’t think so.
Why is Marvel Rivals getting an auto battler mode?
The new mode is similar to multiplayer online battle arena spinoffs such as Dota Auto Chess and League of Legends’ Teamfight Tactics. I think drawing the line from a multiplayer online battle arena (MOBA) to auto battler is easy for most people.
MOBAs are strategy games first and foremost, where players pick and choose items to craft builds that will help them win their lane, while also contributing to big team fights. Players need to work together to overwhelm the other team and push them back to their spawn.
MOBAs and auto battlers are both about team synergy, positioning and picking the right upgrades, so it’s not surprising to people when characters from a game in one of these genres appear in another.
There are many people that wouldn’t associate hero shooters with MOBAs in the slightest. Games like Marvel Rivals have a high ceiling for very different mechanical skills — especially aiming. But hero shooters are also complex strategy games that share many of the same fundamentals as a MOBA.
Putting together a viable team composition with strong character is the most important part of a hero shooter — and Marvel Rivals takes this to another level with the strongest team-up abilities that require multiple heroes to activate.
An auto battler will allow people to experiment team compositions that don’t often get played in real Marvel Rivals’ matches, and could even help the community find new experimental hero combinations that have the potential to shake up common ways people play the game.
In Ultron’s Battle Matrix Protocol, as the auto battler mode is called, players will be able to put together balanced teams, lock in the risky GATOR strategy (which is nightmarishly similar to Overwatch’s GOATS meta) or fall back on triple support with brand new upgrades that change how the game works.
Absurd power scaling might look like Overwatch 2’s Stadium mode
There’s a clear rivalry between Overwatch 2 and Marvel Rivals, since they’re the two biggest hero shooters on the market right now. Blizzard’s hero shooter is entering its ninth year of life with flagging interest, but its solid fundamentals have been a high bar for Marvel Rivals to hurdle.
Both games have been trying out bold new things — Overwatch 2 recently shipped the MOBA-like Stadium mode that lets players augment popular abilities and take powerful passives as they fight in a flurry of different objectives in a best of seven gauntlet.
Ultron’s Battle Matrix Protocol in some ways feels like NetEase’s response to Blizzard’s big success with Stadium mode. You might not have quite as much influence on the outcome of each battle, but this serves as a proof of concept for Marvel Rivals’ hero power scaling.
This new mode also lets players pick passive abilities that buff certain roles as well as more powerful hero-specific upgrades that drastically alter the course of a fight, so the snowballing power of a Stadium match is very much emulated here.
In the Season 2.5 developer vision video, we got a look at what some of the upgrades will look like.
Venom can grow into a hulking monster after devouring enemies with his ultimate ability, Hela cuts a swath through the playing field with a field of flying daggers, Psylocke zips around her ultimate ability’s area of effect at twice her normal speed and Namor summons many more squid turrets to attack his enemies.
It’s safe to assume that every character in the game will have some kind of special power unlocked in the later rounds of an Ultron’s Battle Matrix Protocol match. This definitely isn’t NetEase reheating Blizzard’s nachos, but I do think it’s indicative of a broader shift toward making hero shooters feel a little bit more chaotic and unrestrained.
Game balance is important, but one of the biggest draws of this genre is that each character is a unique power fantasy you can’t find elsewhere. I can’t imagine such in-depth upgrades were designed for a one-and-done mode, so it’ll be interesting to see where they might show up next.
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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