Retro-Suckers: Back in the 1990s, Neo Geo was one of the most popular arcade platforms thanks to its unmatched computing power and graphics prowess. SNK tried to bring the system into the home with the Neo Geo AES console, which used its own cartridges that were physically incompatible with arcade MVS cartridges. The attempt ultimately failed, but the Neo Geo AES is now making a comeback among gamers seeking an “authentic” hardware experience without relying on emulation.

Plaion and SNK announced the revival of the Neo Geo AES platform earlier this year. The “premium” retro-gaming console is now available for pre-order, with multiple variants, accessories, and even an “extra-luxury” edition packed with controllers, cables, and game cartridges.

The Neo Geo AES+ is part of Plaion’s “Replai” offering, which sells several modern iterations of classic platforms such as the Intellivision, Atari 2600, and the Amiga. Plaion describes the Neo Geo AES+ as a faithful reimplementation of the original Japanese machine, using legacy ASIC-based solutions that don’t require any kind of emulation.

Custom ASIC chips replicate the original machine’s software and hardware functionality, which allegedly includes full compatibility with original AES cartridges.

Arcade authenticity aside, the Neo Geo AES+ also includes a few modern niceties to ease the pain of using classic consoles with modern setups. The machine provides a low-latency HDMI output, overclocking, and high-score storage on a separate memory card. I can safely say that overclocking is a rather crucial upgrade, as Metal Slug and other Neo Geo games are infamous for turning into annoying slideshows when too many sprites are shown on screen.

Neo Geo AES+ is coming out on November 12, 2026, with plenty of different pre-order options. The original edition costs €200 and includes a console, an arcade stick, and an HDMI cable. There is also an all-white Anniversary Edition, which costs €300 and comes with an additional wireless arcade stick, a white Metal Slug cartridge, a memory card, and more.

Sitting at the other end of the spectrum, the Neo Geo AES+ Ultimate Edition packs several additional controllers, 10 fan-favorite Neo Geo games, and plenty of dongles and cables. This particular version has a €900 price tag, which is still not enough to impress retro enthusiasts who remember how much the original console cost back in the 90s.

The Neo Geo platform played an important role in video game history, blowing away the hardware competition and giving rise to long-running series such as Metal Slug, The King of Fighters, and more. Neo Geo emulation has long been a “solved” problem on PCs and mobile devices, thanks to MAME and other actively developed projects.

The Neo Geo AES+ is the latest in a long list of modern devices designed to replicate both the games and hardware features of the original console. It might very well be the most effective one yet, although I don’t plan on spending €80 on one of the individual AES cartridges that Plaion is going to launch alongside the console.

Changing your home’s address on Apple Maps can be almost as stressful as moving home in real life, but there’s one sure-fire way to get the job done without pulling your hair out.

The Apple Maps app is a great way to get around, whether you’re using it while driving via CarPlay or just walking. It also makes it easy to quickly get directions to the places that you visit often, like your home or where you work.

But if you’ve moved home and ever tried to change your address in your iPhone‘s Maps app, you’ll know it can be tricky. The job can be complicated considerably if you also have your home address pinned, too.

Thankfully, changing your home’s address is much easier when you keep in mind two main things. The first is that your home’s address isn’t normally set by the Maps app itself. And the second is that pinned addresses in the Maps app don’t automatically update, nor can they be edited.

It’s easy to see where the confusion comes from, but don’t worry. We’re going to clear everything up right here.

Your ‘Home’ address has a home of its own

The first thing to remember is that your iPhone uses your contact card as the source of your home address whenever it is needed. It’s this address that is used when you make purchases online, fill out online forms, and for anything else that requires an address.

Remember to update your pinned location in Apple Maps after changing your home address.

If you move home, it’s this address that you need to change. And thankfully, it’s easy to do.

1. Open the Contacts app on your iPhone and tap My Card at the top of the screen.
2. Tap Edit in the top-right corner of the screen and then scroll down to the address portion of your contact card.
3. Tap the address fields and enter your new details.
4. Tap the checkmark in the top-right corner of the screen to save your new address.

That’s all there is to it, your iPhone now has your new address. However, if you have your home set up as a pinned location in Maps, you’ll also need to go a step further.

Unfortunately, Maps won’t automatically update the pin to reflect your new address. Pinned addresses also can’t be edited, so you’ll have to delete the pin and add a new pin all over again.

I recently got to watch what happens when you jailbreak some of the world’s most powerful artificial intelligence models.

Don’t worry—this AI manipulation wasn’t used to hack anyone or build a nuclear bomb. I simply got to see firsthand how vulnerable some frontier models are to ditching their safety guardrails.

FAR.AI, an AI safety nonprofit based in California, built a tool that takes a range of problematic prompts and generates more than a thousand different versions in an attempt to identify functioning jailbreaks. I saw some models generate a detailed plan for launching a cyberattack on an imaginary hydroelectric dam, among other things. Often, it involved trying dozens of prompts, with models rejecting many of them out of hand.

I chatted with FAR.AI in advance of a new report, which saw the group test the safety guardrails of models from four popular US companies: Anthropic’s Claude Opus 4.8 and Fable 5; OpenAI’s GPT 5.5 and 5.6; Google’s Gemini 3.1 Pro; and Grok 4.3 and 4.5, from Elon Musk’s newly combined SpaceXAI. It auto-generated prompts designed to trick the models into doing potentially harmful things, like generating software exploits and providing details for developing chemical or biological weapons.

The report found that Grok was most vulnerable to jailbreaks, with 448 jailbreaks found, followed by Gemini, with 249 found, while Claude, Fable, and GPT were impervious to the attacks. However, that doesn’t mean those models are immune to more sophisticated jailbreaks, which may involve interacting with a model in more complex ways, according to FAR.AI and other experts.

The report also calculated the cost of getting models to misbehave by using another AI model to automatically generate different jailbreaks. The results are dirt cheap, all things considered—$58 to jailbreak Grok and $278 to jailbreak Gemini.

“AI models right now are less regulated than restaurants,” says Adam Gleave, the CEO of FAR.AI and an expert on AI safety and alignment.

Gleave says that the findings demonstrate the need for externally imposed standards and regulations. “Talk of relying on voluntary commitments, that AI companies are going to be able to self-regulate, is nonsense,” he says.

But Gleave also believes that the findings show that models can be systematically tested for safety. “There’s an optimistic angle here,” he says. “Defense and safety really are possible.”

Rohin Shah, the director of AGI safety and alignment at Google DeepMind, says the results of the report “should not be interpreted as a comprehensive assessment of Gemini’s safety and security,” because not all jailbreaks are equally severe.

“We are constantly working to improve our safeguards,” Shah says. “We conduct extensive red teaming and evaluations across severe misuse risks and apply multiple layers of protection throughout development and deployment.”

“These findings reflect the sustained investment we’ve made in our safeguards,” Anthropic spokesperson Michael Aciman tells WIRED. “We continue to evolve our safety systems as these attacks become more sophisticated.”

“Jailbreaks are an ongoing challenge across the industry, and we continuously strengthen our safeguards as attack techniques evolve. We rigorously test our models against new threats and use those findings to improve our protections,” OpenAI spokesperson Gaby Raila said in a statement to WIRED.

SpaceXAI did not respond to WIRED’s request for comment.

Recently passed state laws in California and New York require frontier AI developers to publish safety reports, and soon, an Illinois law will require those companies to have their safety practices evaluated by third-party auditors. But the federal government hasn’t yet passed any specific safety requirements, and chaos has ensued as the industry—and officials—try to figure it out.

Microsoft is in a unique position as AI overtakes the tech industry. It’s one of the world’s largest cloud providers and software-as-a-service companies, while also holding valuable stakes in the two biggest AI labs, OpenAI and Anthropic.

Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.

And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.

Nadella has been preaching to enterprises to use multiple models and to stop relying on the frontier AI labs for the agentic harness/app layer.

Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.

Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.

In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.

When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.

“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”

Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.

And he used the high-profile incident from last week as proof of his warnings.

“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”

The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.

Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.

“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.

He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”

As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.

Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.

Wild Bio, founded in 2021 by Dr Ross Hendron and Irish man Prof Steve Kelly, specialises in crop genetics by researching genetic solutions that developed through evolution.

University of Oxford spin-out Wild Bioscience, which develops improved crop varieties using AI and precision breeding, has acquired wheat breeding business F1 Seed for an undisclosed amount.

By acquiring F1 Seed, Wild Bio aims to become a “fully integrated, end-to-end UK seed company”, forming a single business able to design, breed and deliver new wheat varieties to growers.

Wild Bio, founded in 2021 by Dr Ross Hendron and Irish man Prof Steve Kelly, specialises in crop genetics by researching genetic solutions that developed through evolution to improve crops in the past, and then using these discoveries to design simple fixes for modern crops.

The start-up does this by building unique plant biology datasets and applying AI and machine learning tools to find “signatures” for how evolution has improved plants. The Wild Bio platform can then target specific “nature-tested” traits and activate them in crops such as wheat.

With this acquisition, Wild Bio will be able to utilise F1 Seed’s wheat breeding capabilities and access its diverse germplasm – genetic resources such as seeds, tissues and DNA sequences – pipeline, which has been developed for more than a decade.

Wild Bio’s goal is to deliver conventionally bred, optimised wheat varieties directly to UK farmers by 2027, followed by the first precision-bred lines in field trials by 2028.

F1 Seed already has six wheat varieties on the UK market, primarily focused on animal feed and distilling, and plans to launch three more later this year. Of the 82 new wheat varieties entering official UK national trials this year, 12pc – 10 entries – come directly from F1 Seed’s pipeline, according to a press release on the acquisition.

“This is the most exciting news for wheat growers since Cambridge University established the Plant Breeding Institute in 1912,” said Bill Angus, founder and director of F1 Seed. “That organisation established the blueprint for integrating new traits into cereals.

“Now over a century later, armed with an array of novel traits, we are well placed to move wheat breeding into a new and exciting era. Deploying traits has been the lifeblood of wheat breeding – now we have the opportunity to accelerate this in UK germplasm.”

Wild Bio said the acquisition comes as the UK’s farming industry hits a tipping point, as wheat yields have remained flat for three decades, while input costs have risen and the climate crisis has introduced “unprecedented volatility”.

In fact, a report from last November found that one-third of surveyed UK farmers made no profit in the previous year, with more than half considering leaving the industry.

With the record-breaking heatwaves and drought seen in recent years affecting wheat yields significantly, Wild Bio said it will be able to help UK farmers by providing seeds designed specifically for the country’s conditions.

“Wheat is Britain’s biggest crop and feeds a fifth of humanity. But on a changing planet, growing it is only getting harder,” said Hendron, who is also Wild Bio’s CEO. “That’s the challenge we exist to meet.

“As a new independent seed business that brings breeding and gene editing together, we can focus on the traits that growers genuinely need and design towards them with precision. Bill and his team have built something remarkable; pairing their strengths with our evolutionary platform gives us the full stack of capabilities we need to develop the varieties that will bend the yield curve upwards again.”

Last October, Wild Bio raised $60m in a Series A round led by the Ellison Institute of Technology, founded by Oracle’s Larry Ellison. The company’s acquisition of F1 Seed was largely financed by this funding, according to Wild Bio.

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