Software

AI + ML

Google Photos' AI Magic Editor won't change pictures of IDs, receipts, faces, or bodies

Plus: Amazon is reportedly training a two-trillion-parameter LLM, and more


AI in brief Google's AI-powered Magic Editor will not work if you try to alter images of ID cards, receipts, human faces, or body parts.

The feature, now available in the Google Photos app on the latest Pixel 8 smartphones, uses generative AI to edit images. Users can do all sorts of things like removing unwanted objects, like people in the background, repositioning the focus of a photo, or changing its lighting. 

But it won't touch up everything you might want it to. The software has been designed to avoid editing documents that contain personally identifiable information, such as IDs or receipts, or the faces and body parts of humans, Android Authority reported. If you try to highlight any of these things to try and change in Google Photos, the app will likely show you an error message. 

Google refers to its policy detailing what its generative AI technologies should and shouldn't do. Changing IDs, for example, could allow people to impersonate others or create content for deceptive or fraudulent activities, like helping underage teenagers buy alcohol, for example. Whereas altering faces and body parts could be used to harm others, like creating non-consensual deepfakes or cyberbullying. 

The safety guardrails on Magic Editor, however, aren't always perfect. "Google already blocks plenty of these edits, but some go through. On an older Google Photos version, we tried editing faces and IDs but could not perform those edits as Google blocked the edits with a generic error message," according to Android Authority.

"We could edit invoices, though. We do not know if Google will be improving the guardrails, too, alongside presenting the specific error messages mentioned above."

Amazon is secretly training a giant large language model Olympus

Amazon is reportedly training a huge large language model codenamed Olympus, with the hopes it could compete with rivals OpenAI, Google, and more.

Olympus will reportedly contain a whopping two trillion parameters, making it one of the largest systems to date, Reuters reported. Amazon hopes the model will attract new customers to AWS, and woo existing ones away from using rival large language model Anthropic or Meta it is already hosting on its cloud computing platform.

The effort to develop the model is being led by Rohit Prasad, head scientist of AGI at Amazon and the former lead for Alexa.

Like most Big Tech companies, Amazon is investing heavily in AI and said in a previous earnings call that it would cut back resources in other areas like fulfilment and transportation for retail but step up for large language models and generative AI. 

Intel leads latest round of funding for Stability AI

Intel is leading a near-$50 million round in Stability AI, makers of the popular text-to-image tool, Stable Diffusion.

The funds are a convertible note, a loan which Stability will have to pay back in the form of future equity for lenders, Bloomberg first reported. The investment comes after several senior employees, including its head of strategy and human resources, and members of its board left the company.

Intel and Stability already have a close working relationship. In September, the chipmaker said the AI startup would be the first customer using its AI supercomputer, a system made up of Xeon processors and 4,000 Gaudi2 AI accelerators. 

At the height of the AI image frenzy, Stability was valued at $1 billion following a $101 million seed round, and reportedly wanted to raise even more money at a higher valuation but has struggled to attract investors. Despite the initial buzz, however, the British upstart has found it difficult to monetize its AI products as it faces more and more competition amid rising operational costs.

There are numerous visual generative AI tools on the market right now, including Midjourney, OpenAI's DALL-E, Adobe's Firefly, and more. ®

Send us news
13 Comments

Don't be fooled: Google faked its Gemini AI voice demo

PLUS: The AI companies that will use AMD's latest GPUs, and more

Tech world forms AI Alliance to promote open and responsible AI

Everyone from Linux Foundation to NASA and Intel ... but some big names in AI are MIA

Trust us, says EU, our AI Act will make AI trustworthy by banning the nasty ones

Big Tech plays the 'this might hurt innovation' card for rules that bar predictive policing, workplace emotion assessments

Creating a single AI-generated image needs as much power as charging your smartphone

PLUS: Microsoft to invest £2.5B in UK datacenters to power AI, and more

Microsoft dials back Bing after users manage to recreate Disney logo in fake AI-generated images

Plus: Amazon lays off hundreds of employees working on Alexa, and more

The AI everything show continues at AWS: Generate SQL from text, vector search, and more

Invisible watermarks on AI-generated images? Sure. But major tools in the stack matter most

HPE targets enterprises with Nvidia-powered platform for tuning AI

'We feel like enterprises are either going to become AI powered, or they're going to become obsolete'

Mere minority of orgs put GenAI in production after year of hype

Folks are dipping their toes in without a full commitment

EU running in circles trying to get AI Act out the door

Bloc risks missing out on first-to-legislate status if timetable slips

Google launches Gemini AI systems, claims it's beating OpenAI and others - mostly

Gemini accepts text, images, audio, and video and comes in three flavors

AMD slaps together a silicon sandwich with MI300-series APUs, GPUs to challenge Nvidia’s AI empire

Chips boast 1.3x lead in AI, 1.8x in HPC over Nv's H100

UK and US lead international efforts to raise AI security standards

17 countries agree to adopt vision for artificial intelligence security as fears mount over pace of development