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

Today’s NYT Mini Crossword Answers for Tuesday, Oct. 21

Here are the answers for The New York Times Mini Crossword for Oct. 21.

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

Today’s Mini Crossword features a lot of one certain letter. Need help? Read on. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.

If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.

Read more: Tips and Tricks for Solving The New York Times Mini Crossword

Let’s get to those Mini Crossword clues and answers.

Mini across clues and answers

1A clue: Bone that can be «dropped»
Answer: JAW

4A clue: Late scientist Goodall
Answer: JANE

5A clue: Make critical assumptions about
Answer: JUDGE

6A clue: Best by a little
Answer: ONEUP

7A clue: Mercury, Jupiter, Saturn, etc.
Answer: GODS

Mini down clues and answers

1D clue: Just kind of over it
Answer: JADED

2D clue: Beef cattle breed
Answer: ANGUS

3D clue: Shed tears
Answer: WEEP

4D clue: 2007 comedy-drama starring Elliot Page and Michael Cera
Answer: JUNO

5D clue: Refresh, as one’s memory
Answer: JOG

Technologies

Wikipedia Says It’s Losing Traffic Due to AI Summaries, Social Media Videos

The popular online encyclopedia saw an 8% drop in pageviews over the last few months.

Wikipedia has seen a decline in users this year due to artificial intelligence summaries in search engine results and the growing popularity of social media, according to a blog post Friday from Marshall Miller of the Wikimedia Foundation, the organization that oversees the free online encyclopedia.

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In the post, Miller describes an 8% drop in human pageviews over the last few months compared with the numbers Wikipedia saw in the same months in 2024.

«We believe that these declines reflect the impact of generative AI and social media on how people seek information, especially with search engines providing answers directly to searchers, often based on Wikipedia content,» Miller wrote.

Blame the bots

AI-generated summaries that pop up on search engines like Bing and Google often use bots called web crawlers to gather much of the information that users read at the top of the search results.

Websites do their best to restrict how these bots handle their data, but web crawlers have become pretty skilled at going undetected.

«Many bots that scrape websites like ours are continually getting more sophisticated and trying to appear human,» Miller wrote.

After reclassifying Wikipedia traffic data from earlier this year, Miller says the site «found that much of the unusually high traffic for the period of May and June was coming from bots built to evade detection.»

The Wikipedia blog post also noted that younger generations are turning to social-video platforms for their information rather than the open web and such sites as Wikipedia.

When people search with AI, they’re less likely to click through

There is now promising research on the impact of generative AI on the internet, especially concerning online publishers with business models that rely on users visiting their webpages.

(Disclosure: Ziff Davis, CNET’s parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)

In July, Pew Research examined browsing data from 900 US adults and found that the AI-generated summaries at the top of Google’s search results affected web traffic. When the summary appeared in a search, users were less likely to click on links compared to when the search results didn’t include the summaries.

Google search is especially important, because Google.com is the world’s most visited website — it’s how most of us find what we’re looking for on the internet.

«LLMs, AI chatbots, search engines and social platforms that use Wikipedia content must encourage more visitors to Wikipedia, so that the free knowledge that so many people and platforms depend on can continue to flow sustainably,» Miller wrote. «With fewer visits to Wikipedia, fewer volunteers may grow and enrich the content, and fewer individual donors may support this work.»

Last year, CNET published an extensive report on how changes in Google’s search algorithm decimated web traffic for online publishers.

Technologies

OpenAI Says It’s Working With Actors to Crack Down on Celebrity Deepfakes in Sora

Bryan Cranston alerted SAG-AFTRA, the actors union, when he saw AI-generated videos of himself made with the AI video app.

OpenAI said Monday it would do more to stop users of its AI video generation app Sora from creating clips with the likenesses of actors and other celebrities after actor Bryan Cranston and the union representing film and TV actors raised concerns that deepfake videos were being made without the performers’ consent.

Actor Bryan Cranston, the Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) and several talent agencies said they struck a deal with the ChatGPT maker over the use of celebrities’ likenesses in Sora. The joint statement highlights the intense conflict between AI companies and rights holders like celebrities’ estates, movie studios and talent agencies — and how generative AI tech continues to erode reality for all of us.

Sora, a new sister app to ChatGPT, lets users create and share AI-generated videos. It launched to much fanfare three weeks ago, with AI enthusiasts searching for invite codes. But Sora is unique among AI video generators and social media apps; it lets you use other people’s recorded likenesses to place them in nearly any AI video. It has been, at best, weird and funny, and at worst, a never-ending scroll of deepfakes that are nearly indistinguishable from reality.

Cranston noticed his likeness was being used by Sora users when the app launched, and the Breaking Bad actor alerted his union. The new agreement with the actors’ union and talent agencies reiterates that celebrities will have to opt in to having their likenesses available to be placed into AI-generated video. OpenAI said in the statement that it has «strengthened the guardrails around replication of voice and likeness» and «expressed regret for these unintentional generations.»

OpenAI does have guardrails in place to prevent the creation of videos of well-known people: It rejected my prompt asking for a video of Taylor Swift on stage, for example. But these guardrails aren’t perfect, as we’ve saw last week with a growing trend of people creating videos featuring Rev. Martin Luther King Jr. They ranged from weird deepfakes of the civil rights leader rapping and wrestling in the WWE to overtly racist content.

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The flood of «disrespectful depictions,» as OpenAI called them in a statement on Friday, is part of why the company paused the ability to create videos featuring King.

Statement from OpenAI and King Estate, Inc.
The Estate of Martin Luther King, Jr., Inc. (King, Inc.) and OpenAI have worked together to address how Dr. Martin Luther King Jr.’s likeness is represented in Sora generations. Some users generated disrespectful depictions of Dr.…

— OpenAI Newsroom (@OpenAINewsroom) October 17, 2025

Bernice A. King, his daughter, last week publicly asked people to stop sending her AI-generated videos of her father. She was echoing comedian Robin Williams’ daughter, Zelda, who called these sorts of AI videos «gross.»

I concur concerning my father.
Please stop. #RobinWilliams #MLK #AI https://t.co/SImVIP30iN

— Be A King (@BerniceKing) October 7, 2025

OpenAI said it «believes public figures and their families should ultimately have control over how their likeness is used» and that «authorized representatives» of public figures and their estates can request that their likeness not be included in Sora. In this case, King’s estate is the entity responsible for choosing how his likeness is used.

This isn’t the first time OpenAI has leaned on others to make those calls. Before Sora’s launch, the company reportedly told a number of Hollywood-adjacent talent agencies that they would have to opt out of having their intellectual property included in Sora. But that initial approach didn’t square with decades of copyright law — usually, companies need to license protected content before using it — and OpenAI reversed its stance a few days later. It’s one example of how AI companies and creators are clashing over copyright, including through high-profile lawsuits.

(Disclosure: Ziff Davis, CNET’s parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)