Category: Technology

Yesterday, Meta introduced a new map feature that’s almost identical to Snapchat’s Snap Map. The feature has quickly sparked a backlash, though, and not just because it’s yet another example of Instagram ripping off a Snapchat feature.

While the map requires users to opt-in to share their location, many users were surprised and alarmed to see that their Instagram map was already populated with the locations of some accounts when it launched. That’s because the map automatically pulls in location info when someone has recently shared a Story or Reel with a location tagged.

For example, I posted a Story that tagged San Francisco’s botanical gardens and it tagged me there on Instagram’s map even though I have my map location set to share with “no one.” This isn’t that different from how Instagram has worked in the past: location tags have always been visible to your followers, and the app has always had a map view that let people see public posts that have been tagged with specific places.

My story post tagged me on Instagram’s map even though location is set to “no one” because I tagged a location (in this case San Francisco’s botanical gardens).

But Instagram’s map makes this information much more prominent and easy to access. While before you would have to tap into specific posts to see location tags, the new map puts all of this into a single view. Depending on how often you tag locations, this can make it seem like your real-time info is being shared, even when it isn’t.

All that, combined with Meta’s messy history with user privacy, has understandably ignited new concerns from people worried about their location being accidentally exposed by Instagram. Some users have questioned why the map exists at all given the potentially serious implications of unknowingly sharing your location with all of your Instagram mutuals.

It’s also led to a lot of misunderstanding. A number of prominent accounts on Threads have suggested that location sharing is on by default. At the time of this writing, “Instagram map” is the top trend on Threads, with more than 850,000 posts — most of which are privacy related. Instagram head Adam Mosseri has replied to more than a dozen accounts attempting to explain how it actually works.

“We’re double checking everything, but so far it looks mostly like people are confused and assume that, because they can see themselves on the map when they open, other people can see them too,” Mosseri wrote in response to a Threads user who asked why people were reporting seeing themselves on the map without opting in. “We’re still checking everything though to make sure nobody shares location without explicitly deciding to do so, which, by the way, requires a double consent by design (we ask you to confirm after you say you want to share).”

How to check your Instagram Map settings

You can find the Instagram map by swiping over to your inbox and selecting the “map” icon at the top. The settings menu in the top right corner allows you to confirm who you want to be able to find you on the map: you can choose between “friends” (mutuals), “close friends” or a list of specific accounts. The default setting is “no one,” and the app also shows a red location arrow when “no one is selected.”

It’s also worth checking whether you’ve tagged a location on any posts within the last 24 hours. If you have, then you’ll be tagged at that place on the map even if you’ve set your sharing settings to “no one.” Location tags only appear on the Instagram map for 24 hours, according to Meta, so it won’t keep a running log of everywhere you’ve been, and it won’t show your live location. Still, these tags could reveal more about your whereabouts than you intended. If you have tagged a place, you can either delete the post entirely or edit it to remove the tag, which should keep it from showing up on the map.

When you do opt to share your location on the map, the friends you select will be able to see where you’re at in real time. You can still set some limitations, though.

The map also has a “hidden places” feature that allows you to always hide specific locations that may be sensitive, like your home. The feature itself is, ironically, somewhat hidden. You can find it by tapping the “…” menu on the map’s location settings and choosing “hide places.” The app will then let you drag a pin on the map and choose a surrounding radius to hide. The feature works well if you want to hide the place you’re currently at, but it’s a bit clunky if you want to block off multiple locations because you can’t enter specific addresses.

Regardless, if you’re worried about exposing your whereabouts, the safest option is to keep location sharing set to “no one” and to not use location tags in any of your content. It’s unclear if Meta plans to change anything about how the Instagram Map works in response to user concerns.

“Instagram Map is off by default, and your live location is never shared unless you choose to turn it on,” a Meta spokesperson said in a statement. “If you do, only people you follow back—or a private, custom list you select—can see your location.”

This article originally appeared on Engadget at https://www.engadget.com/social-media/adam-mosseri-says-people-are-confused-about-how-the-instagram-map-works-184736070.html?src=rss 

A couple of days after announcing its first open-weight models in six years, OpenAI is releasing the long-awaited GPT-5. What’s more, you can start using it today, even if you’re a free user. With GPT-5, the company is touting across-the-board enhancements, claiming the model is its best yet when it comes to coding, writing, safety, accuracy and more.

“GPT-5 is the first time that it really feels like you’re talking to an expert in any topic,” said OpenAI CEO (and hypeman) Sam Altman during a press briefing the company held before today’s announcement. “It reminds me of when the iPhone went from those giant, old pixel [screens] to the Retina Display, and then I went back to using one of those big pixelated things and I was like, ‘Wow, I can’t believe how bad we had it.'”

At the start of the year, Altman said GPT-5 would offer a unified experience for users, and the new model delivers on that promise. For the first time, OpenAI’s default offering is a reasoning model, meaning the system is programmed to tackle complex problems by breaking them into smaller parts. Previously, if you wanted to force ChatGPT to use one of OpenAI’s reasoning models, you had to select the “Think Longer” option from the prompt bar. This meant most free users didn’t even know OpenAI had more capable models. With GPT-5, the company has significantly simplified the ChatGPT experience.

On the consumer side of things, there are only three versions of the new model. One of those — GPT-5 mini — only crops up when free and Plus users run into their regular GPT-5 usage limit. The other variant, GPT-5 Pro, is, as the name suggests, only available to subscribers of the company’s $200 per month Pro plan. On the subject of query limits, Plus users can use GPT-5 “significantly” more than those with a free account, while Pro customers can chat with GPT-5 as much as they want.

When it comes to reasoning, GPT-5 is much faster than o3, OpenAI’s previous state-of-the-art AI. “It’s so fast that I’ve had the psychological experience of wondering, like, is it really thinking enough? And then it gives a great answer,” said Altman. Perhaps more importantly, it suffers from fewer hallucinations, with OpenAI claiming the model delivers more accurate answers than any of its previous reasoning systems. We’ll see how GPT-5 responds in real-world use, but if OpenAI has made meaningful improvements here, it would be a big deal; hallucinations have typically been a major weakness of reasoning models, particularly relative to traditional large language counterparts.

At the same time, OpenAI says GPT-5 is its safest AI to date. For one, it includes a new feature called Safe Completions. “In the past, we’ve approached this from a sort of a binary, if we thought that the prompt was safe, we would comply. If we thought it was unsafe, the model would refuse,” said Alex Beutel, safety research lead at OpenAI. “This worked well, but as a challenge that there can be kind of carefully worded prompts that could be confusing. So if someone says how much energy is needed to ignite some specific material that could be an adversary trying to get around the safety protections and cause harm, or it could be a student asking a science question to understand the physics of this material.”

With Safe Completions, GPT-5 will try to give the most helpful answer within the safety constraints OpenAI has imposed on it. In tricky situations like the one Beutel outlined above, the model will only provide high-level information that can’t be used to harm anyone. “On average, the system is both safer and more helpful for users, and we think that’ll be much better,” Beutel added.

Additionally, when it comes to health-related questions, GPT-5 is better at flagging concerns and suggesting questions the user should ask of their healthcare provider. It will also answer those prompts more precisely, thanks to the ability to adapt to the person’s knowledge level and geography.

On top of everything else, OpenAI says GPT-5 is its best model for coding yet. It’s supposedly a better writer too, with the company promising the chatbot is better at translating your drafts into “compelling, resonant” copy.

Alongside GPT-5, OpenAI is adding a handful of new features to ChatGPT. To start, users can now choose a color for their chats, with a few exclusive options available for paying customers. OpenAI has also made it easier to connect ChatGPT to Gmail, Google Calendar and Google Contacts. Once you enable the connections, the chatbot will know when to automatically reference your Google accounts; you won’t need to select anything before you start chatting. OpenAI will begin rolling out this feature to Pro subscribers starting next week, with availability for other users to follow.

Over in the Custom Instructions pane, where you can write system prompts to tweak how ChatGPT interacts with you, OpenAI is introducing a handful of pre-set personalities. The four options — cynic, robot, listener and nerd — are available as part of a research preview, and can be changed or disabled at any time.

Last but not least, OpenAI is releasing an updated version of its Advanced Voice feature the company introduced last summer. OpenAI says the tool is better at understanding instructions and adapting its speaking style to the moment. As part of this change, OpenAI is retiring Standard Voice Mode. In practice, that means the company can now offer a better voice experience to everyone since it doesn’t need to fall back on Standard Voice Mode, which isn’t natively multi-modal like Advanced Voice and therefore worse at understanding the nuances of human speech.

If you’re wondering where this leaves OpenAI on the path toward artificial general intelligence, Altman had this to say when asked about the topic. “I kind of hate the term AGI, because everyone at this point uses it to mean a slightly different thing, but [GPT-5] is a significant step forward towards models that are really capable. We’re still missing something quite important,” he said, noting GPT-5 can’t continuously learn on its own. “But the level of intelligence here, the level of capability, it feels like a huge improvement. Certainly, if I could go back five years before GPT-3 and you told me we have this now, I’d be like that’s a significant fraction of the way to something very AGI-like.”

This article originally appeared on Engadget at https://www.engadget.com/ai/gpt-5-is-here-and-its-free-for-everyone-170001066.html?src=rss 

The most obvious question is “Why?”

Framework builds modular, repairable laptops that anyone can take apart and put back together again. It’s a big deal in an era where laptops are regularly sold as a single unit that, should one part break, goes in the trash. Since every part of a Framework machine can be swapped out, you can keep one going for as long as your patience, and the supply of spare parts, allows. Desktops, however, are already modular and repairable — company founder Nirav Patel said “desktop PC ethos was one of the core inspirations for the Framework laptop to begin with.” So, if desktops are already modular and repairable, why do we need one from Framework?

When the Desktop was announced, Patel said the genesis of the product came from seeing a preview of AMD’s Ryzen AI Max. It’s an APU (Accelerated Processing Unit) — AMD’s term for a chip combining a CPU, GPU and NPU in a single package, much like Apple Silicon — with plenty of hyped-up claims about its performance. Those claims were so compelling that Patel added the Desktop to the company’s roadmap just to harness that potential power. The big selling point for this chip is the sheer volume of RAM you can employ (up to 128GB) and the massive memory bandwidth (up to 265GB/s) it can take advantage of. AMD described it as a “workstation-level” chip that’ll work in a regular ‘ol PC, with the base model priced at $1,099.

But there’s a devil’s bargain in opting for such a powerful chip, since to get it means Framework has had to give up a lot of its founding principles. As someone probably once wrote, for what shall it profit a computer manufacturer if it shall gain searing power but lose its own soul?

Hardware

The major issue with the Ryzen AI Max is its inflexibility since it’s made as a single package. Much like Apple Silicon products, you’ll need to pick your chip spec in the knowledge that you don’t get to change things later. Consequently, you’ll be ordering the Framework Desktop in one of three unchangeable flavors:

Ryzen AI Max 385 with 32GB RAM, Radeon 8050S GPU

Ryzen AI Max+ 395 with 64GB RAM, Radeon 8060S GPU (the model I’m testing).

Ryzen AI Max+ 395 with 128GB RAM, Radeon 8060S GPU

With every other Framework machine, the mainboard has the CPU and fan soldered in place, but that’s it. Every other component can more or less be removed and reinstalled on the replacement mainboard. Here, if that APU goes or if your needs do evolve, then you’re losing pretty much everything (including the heatsink) since it’s all soldered to the mainboard. We’ll get into pricing considerations later, but replacement mainboards from Framework run between $799 and $1,699. Otherwise, the only things you can recover here are the Wi-Fi module, SSD (there’s space for two), power supply and case.

Speaking of which, the Framework Desktop is a Mini-ITX desktop in a 4.5L case, complete with optional carrying handle. It’s less understated than the cases you’d have seen at a LAN party circa 2006, but that’s not the point. While the box itself is a stark black, you can add a big chunk of personality to it with the front panel, which has space for 21 plastic tiles. These tiles come in a variety of colors (including black, green, orange and lavender) for you to mosaic to your heart’s content. You can also pick up single tiles with specific images printed on, including the Framework, AMD and Linux logos, plus this fetching pride heart. Naturally, if you’re crafty, you can also make your own.

Below the front panel and irritatingly small power button, you’ll find two of Framework’s trademark expansion card slots. These are USB-C ducts into which you can slot any of the company’s expansion cards, letting you pick and choose what I/O you have up front. But the flexibility, so necessary on a laptop, is less of an issue here since this is a Mini-ITX mainboard. Lean over to the back and you’ll find two USB-C, two DisplayPorts, two USB-A sockets as well as dedicated connections for HDMI, Ethernet and 3.5mm audio.

Installation

Framework is only selling its desktop in a “DIY Edition,” but that’s less of a big deal than you might initially expect. Whereas the company’s DIY laptops require you to put every component in the chassis, on the Desktop there’s very little to do at all. Everything bar the SSD is already in place, and all you need to do to add that is remove the heatsink and slot your drive into the M.2 slot. After that, you just need to attach the beefy 120mm fan to the equally beefy heatsink, pop the cowl on top and screw in the four screws. Framework’s wonderful iFixit-style guides claimed getting the hardware together would take between 30 and 45 minutes. I hit stop on the watch after 15 minutes and 15 seconds, and can’t imagine many folks will take much more time than that to put everything together. From there, you just need to install your operating system of choice and you’re ready to go.

In use

With the Desktop, Framework is targeting two groups: gamers, and developers eager to use AMD’s Ryzen AI Max. The pitch to the former group could easily be boiled down to ‘this is a fast PC you don’t need to do much to build.’ That’s an easy enough metric to judge it by, since we can just run some games on it and see how well it performs. I’ll admit that I am not an AI developer, and so can’t speak as authoritatively on the latter or how effective it would be at running large models if you — as the company expects — buy several mainboards to run in a cluster.

I basically ran every title in my admittedly limited game library with the settings dialed up to max, and it didn’t break a sweat. AMD claims the Radeon 8060S GPU inside my machine goes toe-to-toe with an RTX 4070 laptop GPU. This is a ten pound hammer for the one ounce nail that is Fortnite, but even demanding titles like Hardspace: Shipbreaker breezed through. My gut tells me, however, that people wouldn’t be eyeing this up as a primary gaming machine. That’s not where this unit’s power lies, really, but in the more work-y tasks that better suit the APU.

As I said, I’m not an AI developer but I did mess around with LM Studio, which I tested with a chatbot running Google’s Gemma 3 27B model. Performance was a little slower than you may see on a web-based AI client, but not enough for it to be an issue. LM Studio, too, suggested that running this was only taking around a third of the Desktop’s CPU power, so there’s probably plenty more headroom there to run bigger and more demanding models.

I am, however, on surer footing with big workstation tasks, like video editing and exporting, and I was impressed with the results here. For this, I took a 39GB HD video file with a runtime of 2 hours, made a few minor trims, and then compressed and exported it as an MP4 file. Crunching the file down to 6GB took just one hour and 12 minutes, a staggering speed boost for a job that could take half a day to export on lesser hardware. It’s worth remembering, too, that I’m testing the middle-tier version of the Desktop with 64GB RAM.

When announcing the Desktop, Patel said the machine would run quietly even at peak power. He described it as “silent while sitting on your desktop under normal loads, and even under gaming, it’s impressively quiet.” If you’re familiar with Framework’s track record and products so far, that quote will have instantly provoked scoffing. The company does many things well, but it wildly overpromises on how quiet and cool its machines run.

Framework trumpeted how much better its cooling was on its recently-released Ryzen AI 300 mainboard for the Laptop 13, which was noisy and lap roasting. Here, you’ve got a beefy APU expected to run for sustained periods of time at 120W and up to 140W in boost. I half expected to be able to use this thing as a space heater but, mercifully, the company does seem to have made good on its promises. The 120mm fan barely got noisy at all, and I can only recall it becoming noticeable when running heavier AI models in LM Studio and when I started exporting the video file.

Pricing

The starting price for the base model Desktop with the Max 385 and 32GB of RAM is $1,099. For that, you’ll get the case, power supply and mainboard, which includes its own Wi-Fi module. What the company is listing as optional extras, however, includes the SSD, CPU fan, OS and even the power lead. So, if you were looking to buy the base model as an essentially off the shelf purchase, including decorative tiles and two front-facing expansion cards, the price rises to $1,386. If you want to opt for the mid-tier option (the 395 with 64GB RAM) add $500 to the base model price. If you want to go for the high end 395 with 128GB RAM, then you’ll be adding $900 to the base price, bringing the total for an off-the-shelf model to around $2,286.

Because of the distinct nature of the Ryzen AI Max, an apples-to-apples comparison isn’t going to be perfect. But, if you were looking to spend around two grand on a high-performance PC, you could snag something like Lenovo’s Legion Tower 5 with AMD. $2,200 buys you a Ryzen 7 with 16GB DDR5 RAM, a 1TB SSD and NVIDIA’s GeForce RTX 4070 Ti with 12GB RAM. Alternatively, that figure could get you an ASUS ROG G700 with a Ryzen 7, Radeon RX 9070 XT Prime (with 16GB VRAM), 16GB RAM and a 2TB SSD. The real differentiator is how much you would value the faster memory bandwidth and speed the AI Max offers over its discrete rivals.

Framework will also sell users the Desktop’s mainboard on its own, with the base model priced at $799. Certainly, if you’ve got boxes full of spare parts and the necessary Mini-ITX case, you could save a chunk of change that way. This will also be the most cost effective way for power users to run clusters of boards for bigger projects. Pre-orders are open, but the company won’t start shipping boards on their own until it’s fulfilled all of its system orders.

Wrap-up

In my time with the Framework Desktop, I’ve flip-flopped a few times on if this product is a hit or a miss. Framework was open about the fact this was something akin to a side project, outside its regular remit to build modular laptops, based on a particularly exciting chip. So while I think the all-in-one approach is a backward step compared to regular PCs, I get the rationale for doing so here.

Where I think Framework whiffed was to pitch this as a machine to make “PC gaming more accessible” by reducing “the mental and physical load” associated with building your own. Nightmares about thermal paste aside, I don’t think that’s a real issue for would-be gamers as they could easily pick up a pre-built system for similar cash. And I suspect most gamers would much rather use a PC with a standalone graphics card rather than slum it with an integrated GPU.

Because even mentioning gaming, really, does the machine a massive disservice, pulling the focus from its real strength. Which is the ease at which this machine handled productivity tasks, like running AI models and crunching video. The effortlessness at which it handled that brought to mind products like the Mac Studio, a creative powerhouse in its own tiny package. It’s this that Framework should have led with, especially since it’ll do all of those tasks and play games on the side.

I’m not sure I’d recommend this product to people who are just looking to buy a powerful PC or a gaming PC. It’s a tool for a specific group of users capable of taking advantage of the AI Max’s benefits that you’d otherwise need a workstation for. So while its review score is justifiably high when the Framework Desktop is judged on its own merits, that doesn’t mean you need to own one.

This article originally appeared on Engadget at https://www.engadget.com/computing/framework-desktop-2025-review-powerful-but-perhaps-not-for-everyone-150011909.html?src=rss