The game I’m most looking forward to right now is Big Walk, the latest title from House House, creators of the brilliant Untitled Goose Game. A cooperative multiplayer adventure where players are let loose to explore an open world, I’m interested to see what emergent gameplay comes out of it. Could Big Walk allow for a kind of community archaeology with friends? I certainly hope so.
When games use environmental storytelling in their design – from the positioning of objects to audio recordings or graffiti – they invite players to role play as archaeologists. Game designer Ben Esposito infamously joked back in 2016 that environmental storytelling is the “art of placing skulls near a toilet” – which might have been a jab at the tropes of games like the Fallout series, but his quip demonstrates how archaeological gaming narratives can be. After all, the incongruity of skulls and toilets is likely to lead to many questions and interpretations about the past in that game world, however ridiculous.
I used to work as an archaeologist in the analogue world, where my work consisted of excavations, fieldworks and assessment of potential development sites across the UK. Now I’m doing a computer science PhD focusing in video game archaeology, where I get tocome up with novel ways to record gameplay experiences, like doing in-game walking interviews with players in the MMO Wurm Online, or recording the location of player messages in Elden Ring.
Because I know what being an archaeologist entails, I often find myself thinking about games that just have you play as a person with that job title, such as Tomb Raider or Uncharted, versus those that have you engage in work similar to what we do in the field. Walking sims like Gone Home and What Remains of Edith Finch invite you to explore a space and interpret what all of the objects left behind in the landscape mean. Dr Melissa Kagen, assistant teaching professor in interactive media and game development at Worcester Polytechnic Institute, refers to this interpretive gameplay in walking simulators as “archival adventuring”.
Ready for role play … Outer Wilds: Archeologist Edition. Photograph: Nintendo Switch
It’s not just walking sims though. There is a growing genre of puzzle games that I would argue also puts you in the role of an archaeologist, piecing together clues about the past from material remains and archival material. Some people refer to these games as “Metroidbranias”, but I’m personally quite fond of them. Essentially, “information games” (as developer Tom Francis calls them) require players to come up with theories based on the information they have, to in turn use those theories to acquire more knowledge. With its central mechanic of deciphering an ancient language, Heaven’s Vault is an obvious candidate, but I would argue that other information games like Return of the Obra Dinn, Her Story and Outer Wilds (which literally has a special “archaeologist edition”) also encourage you to role play as an archaeologist, searching for clues in the environment and past records.
In my own work I investigate how to preserve contemporary games, as carefully as you would an ancient artefact. SoI’ve been thinking a lot about parallels in the game world too: how players record their own experiences through screenshots, map-making and diaries, and these are also methods used by real world archaeologists. Some games use these recording methods as central game mechanics. A great example is Season: A Letter to the Future, in which you document the world on the eve of its destruction in your journal. Games that inspire you to take notes also arguably result in a record of the gameplay experience – a good example is 2025’s puzzle sensation Blue Prince, which explicitly encourages players to record anything interesting they see in each of the clue-filled rooms as they explore an ever-shifting estate.
Rather than raiding tombs, if you want to be a video game archaeologist, look out for those skulls next to toilets. Better yet, record them. A future games archaeologist will thank you!
What to play
Compulsive and stylish … Shinobi: Art of Vengeance. Photograph: Sega
We’re seeing a lot of classic 80s arcade games being rediscovered at the moment, with Gradius Origins pleasing shoot-em-’up purists and Bandai Namco’s Shadow Labyrinth thrillingly reimagining Pac-Man.
Next, here comes Sega with Shinobi: Art of Vengeance, a compulsive and stylish adventure platformer based on its classic series of ninja brawlers. A vast range of fighting skills, weapons and combos come into play as you leap across hand-drawn cyberpunk environments, all rich in detail. French developer Lizardcube has done amazing work marrying the old school immediacy of the original titles with modern features and considerable Gallic visual flair. Come for the nostalgia, stay for the blistering execution moves, which let you take out multiple enemies in a claret-soaked dance of death.
Available on: PC, PS4/5, Xbox Estimated playtime: 15 hours
What to read
Switch and bait … people wait outside the Nintendo Store for the release of the Nintendo Switch 2. Photograph: Kylie Cooper/Reuters
Want to find out more about Nintendo’s approach to game design? Forthcoming book Super Nintendo, from Pushing Buttons’s own Keza MacDonald, is now available for pre-order. It’s an in-depth look behind the scenes at the legendary game and console maker, with incredible access to the design teams, including Miyamoto himself. Essential stuff.
Over 450 Diablo developers have voted to unionise, according to theCommunications Workers of America union. As Team 3 Senior Software Engineer Nav Bhetti puts it: “My entire career as a developer has seen my peers and I paying the ‘passion tax’ for working in an industry that we love.”
Have you heard of “friendslop”? Nicole Carpenter dives into the emerging genre of social games such as Peak, Lethal Company and Content Warning, and asks what developers can learn from their emphasis on essentially messing about with your mates.
Console wars … Indiana Jones and the Great Circle. Photograph: Games Press
This week’s straightforward question comes from Richard B via email:
“Are the console wars over?”
This is a question the whole industry seems to be pondering at the moment. In February, Xbox chief, Phil Spencer, told XboxEra that he was no longer looking to take gamers from PlayStation or PC. Three months later, the previously exclusive title Indiana Jones and the Great Circle was released on PS5, and Gears of War: Reloaded is also bound for Sony’s platform. Meanwhile, Sony has brought Helldivers 2 to Xbox and more titles are likely to follow, if a recently spotted Sony job advert is to be believed.
Of course, cross play – the feature of online games such as Fortnite and Apex Legends which allows people to compete against each other whatever machine they’re using – started us off in this direction. Now, in an industry where smartphone gaming is dominating (figures by NewZoo indicate mobile games were worth $92.5bn to the global economy in 2024, compared to $50.3bn for console), and the idea of two games hardware titans expensively competing on proprietary tech and software exclusives seems increasingly anachronistic.
And yet … Gamers are intrinsically territorial and always have been, while brand loyalty is a key facet of fandom (and, let’s face it, capitalism) – see also Nikon v Canon, Nike v Reebok or Android v iPhone. Tech specs are only ever part of these conflicts – style, image and identity come into play too. So don’t expect Xbox and PlayStation to, in the near future, become mere apps on a multitude of faceless platforms. Several battles may be over, but the war lumbers on.
If you’ve got a question for Question Block – or anything else to say about the newsletter – hit reply or email us on pushingbuttons@theguardian.com.
I’ll admit that until an email dropped into my inbox, I wasn’t even aware DuckDuckGo had an AI chatbot akin to ChatGPT on the go. But now I do, and per said email, it’s now able to run OpenAI’s gpt-oss:120b LLM.
Traditionally an open source model such as this is one you would run locally through a tool such as Ollama or LMStudio, but thanks to DuckDuckGo anyone can use it, use it privately, and for free.
Why does this matter? If you were to download gpt-oss:120b in all of its 120 billion parameter glory to use at its best in Ollama, you would need more VRAM than you would get from a pair of RTX 5090s.
It’s 65GB in size, so unless you have some monstrous GPU power in your rack, or something like an AMD Strix Halo-powered PC with all that lovely unified memory, it’s pretty tough to run on consumer hardware.
Especially tough to run well.
Fast, free, private access to a sizable open-source LLM. (Image credit: Windows Central)
What Duck.ai is providing is free access to this model, but using their servers, not your own machine. As it’s provided by DuckDuckGo, a company well known for its commitment to privacy, it’s probably as trustworthy as you’ll get from an online tool of this kind.
DuckDuckGo even flat out states that all chats are anonymized, and like other free-to-use models, you don’t have to have an account. No sign-ups, no email address, just open the web page and start prompting your behind off.
All the latest news, reviews, and guides for Windows and Xbox diehards.
So, how is it? It’s fast. As if it wouldn’t be when it’s being powered by some massive cluster of hardware somewhere that isn’t your home. In my limited time playing with it so far, it seems at least as quick at generating responses as the 20b model does on my RTX 5090 — Duck.ai doesn’t show the tokens per second figure — but with one difference I’m not sure how I feel about yet.
Using gpt-oss:120b in Duck.ai, you don’t see the content of the thinking that’s done, it just throws out the response. The more I’ve been using gpt-oss on my own machine, the more I’ve started to appreciate being able to see this information.
Using thinking models such as gpt-oss locally with Ollama, you can see the thought process that delivers your response. Duck.ai doesn’t have this. (Image credit: Windows Central)
Maybe it’s just me, but it’s always interesting, and sometimes enlightening, seeing how the model created the output that it serves. In some cases this is how I’ve learned where mistakes have been made, and I feel like it’s valuable information. I’d love it if Duck.ai even offered it as an option in settings to either show it or not.
You also can’t upload your own files to use with the model. Some of the other options have image upload support, but as far as I can tell, none allow you to upload other files such as documents or examples of code. This is perhaps part of the privacy angle, but it does add a limitation to how you may want to use it.
It’s generally really good, though, and since it’s built inside a web app that feels a lot like ChatGPT or Google Gemini, it’s welcoming and easy to use. It saves your recent chats in the sidebar, and the settings on hand to tweak how you want your responses are pretty thorough. These all apply, of course, to any of the models you use on Duck.ai, not just gpt-oss:120b.
I might have found a new gem in my own AI arsenal here, but to decide on that, I’ll have to play with it some more. For now, I’m just happy I can try gpt-oss:120b without having to have a GPU farm. Or an NVIDIA Blackwell Pro.
If you want exposure to the AI boom without the hassle of picking individual stocks, these three AI-focused ETFs offer diversified, long-term opportunities.
Artificial intelligence (AI) has been a huge catalyst for the portfolios of many investors over the past several years. Large tech companies are spending hundreds of billions of dollars to build out their AI hardware infrastructure, creating massive winners like semiconductor designer Nvidia.
But not everyone wants to go hunting for the next big AI winner, nor is it easy to know which company will stay in the lead even if you do your own research and find a great artificial intelligence stock to buy. That’s where exchange-traded funds (ETFs) can help.
If you’re afraid of missing out on the AI boom, and have around $100 to invest right now, here are three great AI exchange-traded funds that will allow you to track some of the biggest names in artificial intelligence, no matter who’s leading the pack.
Image source: Getty Images.
1. Global X Artificial Intelligence and Technology ETF
The Global X Artificial Intelligence and Technology ETF(AIQ 0.87%) is one of the top AI ETF options for investors because it holds a diverse group of around 90 stocks, spanning semiconductors, data infrastructure, and software. Its portfolio includes household names like Nvidia, Microsoft, and Alphabet, alongside lesser-known players that give investors exposure to AI companies they might not otherwise consider.
Another strength of AIQ is its global reach: the fund invests in both U.S. and international companies, providing broader diversification across the AI landscape. Of course, this targeted approach comes at a cost. AIQ’s expense ratio of 0.68% is slightly higher than the average ETF (around 0.56%), but it’s in line with other AI-focused funds.
Performance-wise, the Global X Artificial Intelligence and Technology ETF has rewarded investors. Over the past three years, it gained 117%, trouncing the S&P 500‘s 63% return over the same period. While past performance doesn’t guarantee future results, this track record shows how powerful exposure to AI-focused companies can be.
2. Global X Robotics and Artificial Intelligence ETF
As its name suggests, the Global X Robotics and Artificial Intelligence ETF (BOTZ -0.21%) focuses on both robotics and artificial intelligence companies, as well as automation investments. Two key holdings in the fund are Pegasystems, which is an automation software company, as well as Intuitive Surgical, which creates robotic-assisted surgical systems. And yes, you’ll still have exposure to top AI stocks, including Nvidia as well.
Having some exposure to robotics and automation could be a wise long-term investment strategy. For example, UBS estimates that there will be 2 million humanoid robots in the workforce within the next decade and could reach 300 million by 2050 — reaching an estimated market size of $1.7 trillion.
If you’re inclined to believe that robotics is the future, the Global X Robotics and Artificial Intelligence ETF is a good way to spread out your investments across 49 individual companies that are betting on this future. You’ll pay an annual expense ratio of 0.68% for the fund, which is comparable to the Global X Artificial Intelligence and Technology ETF’s fees.
The fund has performed slightly better than the broader market over the past three years — gaining about 68%. Still, as robotics grows in the coming years, this ETF could be a good place to have some money invested.
3. iShares Future AI and Tech ETF
And finally, the iShares Future AI and Tech ETF(ARTY 1.72%) offers investors exposure to 48 global companies betting on AI infrastructure, cloud computing, and machine learning.
Some of the fund’s key holdings include the semiconductor company Advanced Micro Devices, Arista Networks, and the AI chip leader Broadcom, which just inked a $10 billion semiconductor deal with a large new client (widely believed to be OpenAI). In addition to its diversification across AI and tech companies, the iShares Future AI and Tech ETF also has a lower expense ratio than some of its peers, charging just 0.47% annually.
The fund has slightly underperformed the S&P 500 lately, gaining about 61% compared to the broader market’s 63% gains over the past three years. But with its strong diversification among tech and AI leaders, as well as its lower expense ratio, investors looking for a solid play on the future of artificial intelligence will find what they’re looking for in this ETF.
Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Arista Networks, Intuitive Surgical, Microsoft, and Nvidia. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.