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Amazon is reportedly working on its own AI chatbot that might be smarter than ChatGPT
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Amazon is reportedly working on its own AI chatbot, codenamed “Metis”, that’ll operate in a similar vein to ChatGPT. 

According to Business Insider, who spoke “to people familiar with the project,” the new platform will be accessible through a web browser. They also viewed an internal document revealing the chatbot's potential capabilities. It’ll provide text answers to inquiries in a “conversational manner,” give links to sources, suggest follow-up questions, and even generate images. 

So far, it appears that Metis performs just like any other generative AI, but things soon begin to deviate. The company apparently wants to utilize a technique called “retrieval-augmented generation,” or RAG for short. It gives Metis the ability to grab information outside of its original training data, thereby giving the AI a big advantage over its rivals.

ChatGPT, by comparison, works by accessing a data reservoir whenever a user inputs a prompt, but that reservoir has a cut-off date that differs between the service’s models. For example, GPT-4 Turbo has a cut-off date of December 2023. It’s not privy to anything that has happened so far in 2024.

Powering the AI chatbot

It’s unknown if Amazon has implemented RAG at the time of Business Insider’s report. Metis is also slated to function as an “AI agent.” Judging from the description given, it would allow the service to function as a smart home assistant of sorts, “automating and performing complex tasks.” This includes but is not limited to turning on lights, making vacation itineraries, and booking flights.

The report goes on to reveal some of the tech powering Metis. The AI runs on a new internal AI model called Olympus, which is supposed to be a better version of Amazon’s “publicly available Titan.” The company even brought people from the Alexa team to help with development. In fact, Metis “uses some of the [same] resources” as the long-rumored Alexa upgrade.

Differing attitudes

Attitudes towards the AI chatbot vary among different parts of the company. Amazon CEO Andy Jassy seems very interested in the project, as he is directly involved with development and often reviews the team’s progress. Others, however, are less enthusiastic. One of the sources told Business Insider that they felt the company was way too late to party. Rival companies are so ahead of the curve that playing chase may not be worthwhile.

The report mentions that Amazon’s ventures into AI have been mostly duds. The Titan model is considered weaker than rival models; their Amazon Q corporate chatbot isn’t great, and there is low demand for their Trainnium and Inferentia AI chips. Amazon needs a big win to stay in the AI space.

Sources claim Metis is scheduled to launch in September around the same time Amazon is planning to hold its next big event. However, the date could change at any time. Nothing is set in stone at the moment.

While we have you, be sure to check out TechRadar's list of the best AI chatbots for 2024.

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OpenAI is working on a new tool to help you spot AI-generated images and protect you from deep fakes
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You’ve probably noticed a few AI-generated images sprinkled throughout your different social media feeds – and there are likely a few you’ve probably scrolled right past, that may have slipped your keen eyes. 

For those of us who have been immersed in the world of generative AI, spotting AI images is a little easier, as you develop a mental checklist of what to look out for.

However, as the technology gets better and better, it is going to get a lot harder to tell. To solve this, OpenAI is developing new methods to track AI-generated images and prove what has and has not been artificially generated.

According to a blog post, OpenAI’s new proposed methods will add a tamper-resistant ‘watermark’ that will tag content with invisible ‘stickers.’ So, if an image is generated with OpenAI’s DALL-E generator, the classifier will flag it even if the image is warped or saturated.

The blog post claims the tool will have around a 98% accuracy when spotting images made with DALL-E. However, it will only flag 5-10% of pictures from other generators like Midjourney or Adobe Firefly. 

So, it’s great for in-house images, but not so great for anything produced outside of OpenAI. While it may not be as impressive as one would hope in some respects, it’s a positive sign that OpenAI is starting to address the flood of AI images that are getting harder and harder to distinguish.

Okay, so this may not seem like a big deal to some, as a lot of instances of AI-generated images are either memes or high-concept art that are pretty harmless. But that said, there’s also a surge of scenarios now where people are creating hyper-realistic fake photos of politicians, celebrities, people in their lives, and more besides, that could lead to misinformation being spread at an incredibly fast pace.

Hopefully, as these kinds of countermeasures get better and better, the accuracy will only improve, and we can have a much more accessible way to double-check the authenticity of the images we come across in our day-to-day life.

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Google is working on a faster Android setup process that uses Wi-Fi and a cable
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Setting up your Android phone might become much faster in the near future. Industry insider Assemble Debug recently dove into the code of Google’s Data Restore Tool and shared his findings with Android Authority. He found evidence within the files of a potential tool referred to as “MultiTransportD2dTransport” as well as a line of text that reads “Copying using cable and Wi-Fi for fastest speed”. 

Putting two and two together, it appears Google could one day allow users to move data from an old phone to a new one using a Wi-Fi and cable connection simultaneously. Doing so would make the transfer process much faster – at least in theory. We don’t know exactly how much faster data transfers will become when using a wired and wireless connection simultaneously. Assemble Debug couldn’t find a whole lot of information in the files. 

He did, however, discover another line of text stating: “Want to speed things up?” This seems to hint that the faster speeds will be optional. If someone prefers to use the slower method of just connecting a cable between the devices, they will still have the choice.

New restoration tool

Another feature called Restore Anytime was also unearthed from the Data Restore Tool files, but the information surrounding it is rather confusing. 

Looking at the screenshot in the article, users can easily send over photos, contacts, text messages, and more from an old Android smartphone to a newer device. You don’t have to worry about losing any data or perform a factory reset on the older hardware. Nothing will be overwritten. And it even works when transferring from iPhone to Android, so long as the former still has its charging cable.

Here is where the confusion lies. Android Authority claims the donor phone can only send data without incident if it’s already been used to transfer files to your current device. If you try to send files to brand new hardware, you will have to first erase all the data on the recipient phone before moving forward. However, the article contradicts this by stating you can transfer data to new devices “at any point.” 

It’s a strange feature. Perhaps Google has yet to create a clear set of parameters for Restore Anytime. That would explain why the restrictions are so confusing. Or maybe the tech giant is simply experimenting with tech it has no intention of releasing. It’s hard to say for sure, but hopefully, Restore Anytime will launch in some form. Being able to move swaths of data to recently purchased smartphones without hindrances or resetting sounds very helpful.

While we have you, check out TechRadar's list of the best Android phones for 2024.

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Windows 11 24H2 isn’t even here yet but Microsoft is already working on its follow-up that could pave the way for Windows 12
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Microsoft is already working away at what could be the first Moment update to follow the big Windows 11 24H2 update.

Currently, work is ongoing with finishing the 24H2 update which lands later this year – most likely it’ll roll out from September – but Microsoft is already looking past that upgrade to the first Moment update it’ll deliver for that release, likely early in 2025. (Assuming the Moment name is kept, and we’ll come back to that).

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This is according to a respected Microsoft leaker, Albacore on X (formerly Twitter), who as noted in the above post stumbled upon an internal flight – a preview version just being tested within Microsoft currently – which is the first Moment for 24H2. (Add your own scattering of seasoning here, naturally).

As probably hasn’t escaped your attention if you’re a Windows 11 user, Microsoft just released the fifth Moment update for Windows 11 23H2, which comes with some handy new features.

Analysis: The bigger update picture – and potential road to Windows 12

As a quick refresher, Moment updates are sizeable feature drops, though not nearly as big as the annual upgrades for Windows 11 (23H2, 24H2 and so on). Essentially, Moments offer a way for Microsoft to continue to drip feed features between the major ‘H2’ annual versions of Windows 11.

With the first Moment update for 24H2 seemingly already under development, this seems a strong indication that Microsoft will continue with this scheme of things for Windows 11 updates going forward.

As Albacore discusses in the thread of the above post on X, it is possible that Microsoft might change the name ‘Moment’ to something else, but the underlying principle of these small-to-medium sized upgrades – outside the cadence of the big annual updates – should remain in place for Windows 11 as we progress down the road with the OS.

Before too long, though, that road will lead to Windows 12 – or whatever next-gen Windows ends up being called, with it quite possibly turning up in 2025, when Windows 10 exits stage left – and after that, the update delivery philosophy could change again.

Perhaps there’s a heightened chance of this, too, when you consider that Windows is under a new chief – Pavan Davuluri has taken the reins of the OS, as Mikhail Parakhin (who was heading up Windows previously) is off doing other things at Microsoft as of last month.

Traditionally, Microsoft has operated under this kind of scheme of smaller drip-fed updates outside of large feature drops – though not always. Before Windows 11 arrived, you may recall that Microsoft used a twice-yearly update scheme with Windows 10, so no new features were introduced between those upgrades. That left some pretty sizeable gaps of six months or so where nothing happened with the desktop OS feature-wise (except minor tweaks here and there).

We were never keen on that idea, but we don’t think Microsoft will return to that way of working – we’re taking this as a positive sign that Moments, or their equivalent, will be around for a good time yet, and hopefully with Windows 12 going forward, when it eventually rolls into town.

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Google isn’t done trying to demonstrate Gemini’s genius and is working on integrating it directly into Android devices
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Google’s newly reworked and rebranded family of generative artificial intelligence models, Gemini, may still be very much at the beginning of its development journey, but Google is making big plans for it. It’s planning to integrate Gemini into Android software for phones, and it’s predicted that users will be able to access it offline in 2025, according to a top executive at Google’s Pixel division, Brian Rakowski.

Gemini is a series of large language models that are designed to understand and generate human-like text and more, and the most compact, efficient model of these is Gemini Nano, intended for tasks on devices. This is the model that’s currently built and adapted to run on Pixel phones and other capable Android devices. According to Rakowski, Gemini Nano’s larger sibling models that require an internet connection to run (as they only live in Google’s data centers) are the ones expected to be integrated into new Android phones starting next year. 

Google has been able to do this thanks to recent breakthroughs in engineers’ ability to compress these bigger and more complex models to a size that was feasible for use on smaller devices. One of these larger sibling models is Gemini Ultra, which is considered a key competitor to Open AI’s premium GPT-4 chatbot, and the compressed version of it will be able to run on an Android phone with no extra assistance.

This would mean users could access the processing power that Google is offering with Gemini whether they’re connected to the internet or not, potentially improving their day-to-day experience with it. It also means whatever you enter into Gemini wouldn’t necessarily have to leave your phone for Gemini to process it (if Google wills it, that is), thereby making it easier to keep your entries and information private – cloud-based AI tools have been criticized in the past for having inferior digital security compared to locally-run models. Rakowski told CNBC that what users will experience on their devices will be “instantaneous without requiring a connection or subscription.”

Three Android phones on an orange background showing the Google Gemini Android app

(Image credit: Future)

A potential play to win users' favor 

MSPowerUser points out that the smartphone market has cooled down as of late, and some manufacturers might be trying to capture potential buyers’ attention by offering devices capable of utilizing what modern AI has to offer. While AI is an incredibly rich and intriguing area of research and novelty, it might not be enough to convince people to swap their old phone (which may already be capable of processing something like Gemini or ChatGPT) for a new one. Right now, the makers of AI hoping to raise trillions of dollars in funding are likely to offer versions that can run on existing devices so people can try it for themselves, and my guess is that satisfies most people’s AI appetites right now. 

Google, Microsoft, Amazon, and others are all trying to develop their own AI models and assistants to become the first to reap the rewards. Right now, it seems like AI models are extremely impressive and can be surprising, and they can help you at work (although caution should be heavily exercised if you do this), but their initial novelty is currently the biggest draw they have.

These tools will have to demonstrate continuous quality-of-life improvements to be significant enough to make the type of impression they’re aiming to make. I do believe steps like making their models widely available on users’ devices and giving users the option and the capability to use them offline is a step that could pay off for Google in the long run – and I would like to see other tech giants follow in its path. 

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WhatsApp working on a way to stop users from screenshotting your profile pic
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Meta may be releasing yet another layer of privacy protection to WhatsApp that will prevent people from taking screenshots of your profile photo on the service.

This upcoming feature was discovered in the most recent WhatsApp beta on Android by WABetaInfo. It'll be housed within the Privacy section of the Settings menu, according to tomsguide.  Having access to the blocking tool, they attempted to take a screenshot of a profile picture however they were prevented from doing so. The publication was met with a notification at the bottom of the screen stating they couldn’t take a screenshot “due to app restrictions”. 

As explained in the report, WhatApp introduced the option to stop users from saving “others’ profile photos” about five years ago. It was supposed to prevent bad actors from sharing images without the owner’s consent; however, screenshotting completely bypasses this. WABetaInfo argues that directly blocking the ability to screenshot allows WhatsApp to further reinforce “the concept of user privacy and consent” on its service. It seemingly doesn’t want said bad actors to utilize people’s photographs for scams, impersonations, or harassment.

Analysis: A small, yet important issue

Now you may be wondering, “Is taking unauthorized screenshots of a WhatsApp profile picture really that big of an issue?” 

Well, based on the brief research we did, it seems screenshotting profile photos isn’t a major problem plaguing the user base, but it is an anxiety held by a small group. We’ve seen multiple posts on Reddit of people voicing their concern over this issue. Someone on the Privacy subreddit even asked if it was possible to find out who screenshotted their WhatApp profile pic.

We also found an interesting post on Medium by writer Bilge Tekin who proposed the concept of a Screenshot Restriction feature for WhatsApp back in 2021. Tekin’s idea took it a step further by preventing screenshotting in chat rooms. When he had people try out his idea, it seemed the testers liked having the option to restrict others from sharing private conversations. 

Granted, none of these examples come from a Meta-financed scientific study or an official poll. There haven't been any large-scale studies delving into this phenomenon as far as we can tell. But at the very least, it could give WhatsApp an edge over rivals by appealing to this niche subset of the user base. Neither Telegram nor Signal have a feature like this. Plus, having the option doesn't hurt.

If you’re interested in trying out the new tool, you’ll first need to join the Google Program Beta Program and then install the beta version of WhatsApp. The blocking update may not be available to you as only a select group currently has access, but WABetaInfo states it will be rolling out to more users over the coming weeks.

While we have you, be sure to join TechRadar’s own WhatsApp channel to get our latest reviews right on your phone.

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Apple could be working on a new AI tool that animates your images based on text prompts
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Apple may be working on a new artificial intelligence tool that will let you create basic animations from your photos using a simple text prompt. If the tool comes to fruition, you’ll be able to turn any static image into a brief animation just by typing in what you want it to look like. 

According to 9to5Mac, Apple researchers have published a paper that details procedures for manipulating image graphics using text commands. The tool, Apple Keyframer, will use natural language text to tell the proposed AI system to manipulate the given image and animate it. 

Say you have a photo of the view from your window, with trees in the background and even cars driving past. From what the paper suggests, you’ll be able to type commands such as ‘make the leaves move as if windy’ into the Keyframer tool, which will then animate the specified part of your photo.

You may recognize the name ‘keyframe’ if you’re an Apple user, as it’s already part of Apple’s Live Photos feature – which lets you go through a ‘live photo’ GIF and select which frame, the keyframe, you want to be the actual still image for the photo. 

Better late than never? 

Apple has been notably slow to jump onto the AI bandwagon, but that’s not exactly surprising. The company is known to play the long game and let others beat out the kinks before they make their move, as we’ve seen with its recent foray into mixed reality with the Apple Vision Pro (this is also why I have hope for a foldable iPhone coming soon). 

I’m quite excited for the Keyframer tool if it does come to fruition because it’ll put basic animation tools into the palm of every iPhone user who might not know where to even start with animation, let alone make their photos move.

Overall, the direction Apple seems to be taking in terms of AI tools seems to be a positive one. The Keyframer tool comes right off the back of Apple’s AI-powered image editing tool, which again reinforces the move towards user experience improvement rather than just putting out things that mirror the competition from companies like OpenAI, Microsoft, and Google.

I’m personally glad to see that Apple’s dive into the world of artificial intelligence tools isn’t just another AI chatbot like ChatGPT or Google Gemini, but rather focusing on tools that offer unique new features for iOS and macOS products. While this project is in the very early stages of inception, I’m still pretty hyped about the idea of making funny little clips of my cat being silly or creating moving memories of my friends with just a few word prompts. 

As for when we’ll get our hands on Keyframer, unfortunately there’s no release date in sight just yet – but based on previous feature launches, Apple willingly revealing details at this stage indicates that it’s probably not too far off, and more importantly isn’t likely to get tossed aside. After all, Apple isn’t Google.

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Apple working on a new AI-powered editing tool and you can try out the demo now
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Apple says it plans on introducing generative AI features to iPhones later this year. It’s unknown what they are, however, a recently published research paper indicates one of them may be a new type of editing software that can alter images via text prompts.

It’s called MGIE, or MLLM-Guided (multimodal large language model) Image Editing. The tech is the result of a collaboration between Apple and researchers from the University of California, Santa Barbara. The paper states MGIE is capable of “Photoshop-style [modifications]” ranging from simple tweaks like cropping to more complex edits such as removing objects from a picture. This is made possible by the MLLM (multimodal large language model), a type of AI capable of processing both “ text and images” at the same time.

VentureBeat in their report explains MLLMs show “remarkable capabilities in cross-model understanding”, although they have not been widely implemented in image editing software despite their supposed efficacy.

Public demonstration

The way MGIE works is pretty straightforward. You upload an image to the AI engine and give it clear, concise instructions on the changes you want it to make. VentureBeat says people will need to “provide explicit guidance”. As an example, you can upload a picture of a bright, sunny day and tell MGIE to “make the sky more blue.” It’ll proceed to saturate the color of the sky a bit, but it may not be as vivid as you would like. You’ll have to guide it further to get the results you want. 

MGIE is currently available on GitHub as an open-source project. The researchers are offering “code, data, [pre-trained models]”, as well as a notebook teaching people how to use the AI for editing tasks. There’s also a web demo available to the public on the collaborative tech platform Hugging Face. With access to this demo, we decided to take Apple’s AI out for a spin.

Image 1 of 3

Cat picture new background on MGIE

(Image credit: Cédric VT/Unsplash/Apple)
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Cat picture lightning background on MGIE

(Image credit: Cédric VT/Unsplash/Apple)
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Cat picture on MGIE

(Image credit: Cédric VT/Unsplash/Apple)

In our test, we uploaded a picture of a cat that we got from Unsplash and then proceeded to instruct MGIE to make several changes. And in our experience, it did okay. In one instance, we told it to change the background from blue to red. However, MGIE instead made the background a darker shade of blue with static-like texturing. On another, we prompted the engine to add a purple background with lightning strikes and it created something much more dynamic.

Inclusion in future iPhones

At the time of this writing, you may experience long queue times while attempting to generate content. If it doesn’t work, the Hugging Face page has a link to the same AI hosted over on Gradio which is the one we used. There doesn't appear to be any difference between the two.

Now the question is: will this technology come out to a future iPhone or iOS 18? Maybe. As alluded to at the beginning, company CEO Tim Cook told investors AI tools are coming to its devices later on in the year but didn’t give any specifics. Personally, we can see MGIE morph into the iPhone version of Google’s Magic Editor; a feature that can completely alter the contents of a picture. If you read the research paper on arXiv, that certainly seems to be the path Apple is taking with its AI.

MGIE is still a work in progress. Outputs are not perfect. One of the sample images shows the kitten turn into a monstrosity. But we do expect all the bugs to be worked out down the line. If you prefer a more hands-on approach, check out TechRadar's guide on the best photo editors for 2024.

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Meta is ‘working on’ its own version of Apple Vision Pro Travel Mode so you can use your Quest 3 on a plane
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Meta might have been a big – perhaps even the biggest – player in the VR world for some time, but newcomer Apple is already giving it ideas for features to add to its Quest headsets, and the first of these could be the ability to use your Quest VR wearable while moving in a car or on a plane.

The reveal trailer for the Apple headset – which is finally set to launch on February 2, with Vision Pro preorders already having gone live (many Apple headsets are already being sold on eBay for extremely high prices) – showed off several use cases for the gadget. One of the examples was a person slipping the headset on while sitting in a plane seat, presumably so they could enjoy an immersive experience while traveling.

Using a VR headset while traveling – especially on a packed plane – sounds like a no-brainer. Rather than having to contend with movies displayed on a small screen on the back of the seat in front of you, you can enjoy them on a massive virtual movie theatre screen and forget that you’re crammed into coach like a sardine.

A woman wearing the Apple Vision Pro while on a plane with other passengers next to them.

(Image credit: Apple)

However, while the idea sounds simple, it’s rather tricky to pull off – as one disappointed Meta Quest 3 user discovered when they struggled to use mixed reality on a flight. On Twitter/X, user @afoxdesign posted a rather amusing clip of their Quest 3 menu floating off into the distance while trying to use the headset on a flight.

In a reply to the post, Meta CTO Andrew Bosworth (@boztank) explained that the issue is caused by the plane’s movement throwing off the headset’s IMUs (inertial motion sensors). The sensors are picking up on the plane’s movement and acceleration, so your headset thinks you’re moving about and adjusts the position of virtual objects accordingly.

Encouragingly, Bosworth added that Meta is “Working on it” with regards to making it possible to use Quest headsets while traveling in a vehicle.

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Back in May 2023 Meta showed off a demo where a Meta Quest Pro was being used in a BMW, with the car’s own sensors keeping the headset's IMUs in check. Unfortunately, this solution wouldn’t work for low-tech vehicles or commercial planes, where it might not be the safest idea to give random people direct access to the airplane’s sensors.

Option two, then, may be to introduce a simplified travel mode in which these motion sensors are turned off. Instead, the headset would use scaled-back tracking data and reference points to enable stable versions of static experiences like watching a video or playing a game through the VR Xbox Game Pass app – becoming a headset version of the Xreal Air 2 and similar wearable AR display glasses.

We’ll have to wait and see what Meta comes up with, but with Apple offering a solution to the using-a-headset-while-traveling problem, and Bosworth saying that a solution is being worked on, we’re hopeful that Quest headsets will be usable on a plane or in a car in the not too distant future.

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Apple may be working on a way to let LLMs run on-device and change your iPhones forever
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Apple researchers have apparently discovered a method that’ll allow iPhones to host and run their own large language models (LLMs).

With this tech, future iPhone models may finally have the generative AI features people have been eagerly waiting for. This information comes from a pair of papers published on arXiv, a research-sharing platform owned by Cornell University. The documents are pretty dense and can be tricky to read, so we’re going to break things down for you. But if you're interested in reading them yourself, the papers are free for everyone to check out.

One of the main problems with putting an LLM on a mobile device is the limited amount of memory on the hardware. As VentureBeat explains in their coverage, recent AI models like GPT-4 “contain hundreds of billions of parameters”, which is a quantity smartphones have difficulty handling. To address this issue, Apple researchers propose two techniques. The first is called windowing, a method where the on-board AI recycles already processed data instead of using new information. Its purpose is to take some of the load off the hardware.

The second is called row-column bundling. This collects data into big chunks for the AI to read; a method that will boost the LLM’s ability to “understand and generate language”, according to MacRumors. The paper goes on to say these two techniques will let AIs run “up to twice the size of the available [memory]” on an iPhone. It’s a technology Apple must nail down if it wants to deploy advanced models “in resource-limited environments”. Without it, the researchers' plans can't take off.

On-device avatars

The second paper is centered around iPhones potentially getting the ability to create animated 3D avatars. The content will be made using videos taken by the rear cameras through a process called HUGS (Human Gaussian Splats). This tech has existed in some form before this. However, Apple’s version is said to be able to render the avatars 100 times faster than older generations as well as capture the finer details like clothing and hair.

It’s unknown exactly what Apple intends to do with HUGS or any of the techniques mentioned earlier. However, this research could open the door for a variety of possibilities, including a more powerful version of Siri, “real-time language translation”, new photography features, and chatbots. 

Powered up Siri

These upgrades may be closer to reality than some might think.

Back in October, rumors surfaced claiming Apple is working on a smarter version of  Siri that'll be boosted by artificial intelligence and sporting some generative capabilities. One potential use case would be an integration with the Messages app, letting users ask it tough questions or have it finish up sentences “more effectively.” Regarding chatbots, there have been other rumors of the tech giant developing a conversational AI called Ajax. Some people have also thrown around “Apple GPT” as a potential name.

No word on when Apple’s AI projects will see the light of day. There has been speculation that something could roll out in late 2024 alongside the launch of iOS 18 and iPadOS 18, although exactly when we'll see any of this remains unknown.

Be sure to check out TechRadar's latest roundup of the best iPhone deals for December 2023.

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