Technologies

A Murderer Is Among Us in Square Enix’s Killer Inn

In a Killer Inn hands-on preview, I lied, cheated and fought my way through the new murder mystery game.

Announced during this year’s Summer Game Fest, Square Enix’s next game is a little different from its RPG hits. Killer Inn is an upcoming murder mystery that pits 24 players against each other in a game of deception. I went hands-on with the title for a couple of hours before the launch of its closed beta, which is releasing Friday.

The game is very reminiscent of the breakout pandemic hit Among Us, with players performing mundane tasks as they try to avoid getting murdered. Two teams consisting of 18 Lambs (prey) and six Wolves (predators) will be set loose on the grounds of a large and labyrinthian mansion.

The Wolves know the allegiance of everyone and their goal is to eliminate every Lamb before the timer runs out. Lambs are left clueless of who is friend or foe and must be cautious when encountering another player. The Lambs win by either eliminating all six Wolves or by escaping the island during the endgame phase (more on that later).

But players won’t be idly waiting to hunt or be hunted. The game’s core loop involves all players receiving short quests from the in-game NPCs. These NPCs are usually merchants who also sell useful items such as health recovery, crowbars (to access certain rooms/boxes), weapons/armor, etc.

The quests are pretty mundane and often require you to follow a glowing trail (like a waypoint in a driving game) until you come across a key. These keys can then be traded into various glowing chests around the map to unlock random items. Chests can either be random or specific to a certain type, such as assassin (traps), armor, weapon, etc.

A lot of these quests feel like busywork to power up your character so you have more of a fighting chance against attackers. At the same time, Wolves are also doing the same quests to get better weapons and traps to use against other players.

It’s still early for Killer Inn but I didn’t find any of these quests to be particularly engaging. Apart from the odd match-these-shapes or a shooting mini game, the quests are extremely low stakes and uninteresting. This might also be because we played on the one map for the entire preview so I got pretty used to the same scenarios and obstacles. The game is early so hopefully Square Enix has more maps and challenges to come.

Killer Inn gets a lot better when you encounter another player. It features proximity voice chat so you’re able to talk to your friend/foe when close to one another to try to find out their intentions. This is a great feature because it allows you to hold secret conversations away from others. Keep in mind, I was in a preview event where everyone was trying to have a good time, so people may have been engaging in better faith than your average online match. Voice chat with random public people on the internet can be a crapshoot so your mileage may vary.

When a Wolf kills a Lamb, everyone gets a notification on their screen and a waypoint to locate the corpse. A corpse always leaves two clues to the killer’s identity. In my preview it was often a piece of colored fabric or hair that corresponded to a few players each. Collecting enough of these will help you narrow down who might be a Wolf. If the Wolf is fast enough to mess with the corpse after a kill, they can remove one of the clues, letting the Lambs only find a single one. There are also single-use items in the game that can help each side hide or find more when searching a body.

To make things more interesting, the Lambs can’t simply start killing random players, hoping they get lucky and eliminate a Wolf. If a Lamb kills another Lamb, the mistaken killer will also be eliminated from the game. This means you really need to collect clues and watch how players are reacting before taking your, sometimes literal, shot.

When the game timer nears the end, the game switches into its end state where the Lambs must head to a huge ship to board and hopefully escape. There are six anchors locking the ship in place and they must slowly lift each one before winning. It’s a slow process that really makes you sweat because it leaves you in quite a vulnerable position. This is the Wolves’ last chance to win and luckily it puts a lot of the Lambs in one smaller area. However, it also means a lot of eyes will be watching.

In my previews this is where the largest gun fights broke out because each team was making a last-ditch effort to win. In fact, most of the murders I came across were pretty standard stabbings or shootings. I’m sure in future games, when the players have more experience, I’ll see a lot more stealth attacks and traps being laid for more intricate eliminations. There’s a lot to learn from Killer Inn and it will definitely take a few rounds before you even begin to get a grasp of when to strike and when to blend in.

I found playing as a Lamb to be a lot easier. Having a larger team of players working together to discover the enemy allowed the pressure to be shared. As a Wolf, you’re juggling a lot and trying to play both sides. In fact, during the three games I played, the Lambs won every time. I’m curious if this will remain as the game matures or will being a Wolf just require more experience with the game to succeed.

Much like the board game Werewolf, classic card game Mafia, or Among Us, Killer Inn is best played with a group of people who are all in character and really leaning into the deceptive nature of the game. You have the option of turning voice chat off but you’d be missing out on the most interesting part of the game: the lying.

While the social guessing game is Killer Inn’s greatest strength, its humdrum quests are its biggest weakness, and I came away from it a little skeptical of its long term replayability. I enjoyed my time but am unsure if I could see myself coming back for more of those boring quests. I would love to see more interesting challenges that force players into unique scenarios where staying hidden or breaking character means life or death.

Killer Inn’s closed beta goes live on Friday, July 25, on PC and currently has no final release date.

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.