A Winnipeg home with a mountain view? You won’t find a real one, but AI-generated visual suggests otherwise

Manitoba’s mountain range peeked out behind a Scotia Street home.

At least, it did in a photo attached to a real estate listing for 232 Scotia St. in Winnipeg’s (flat) Seven Oaks neighbourhood.

Another picture — now removed — showed a cartoon cityscape viewable from the bungalow’s front porch.

Both photos had tags in their bottom left corners: “AI-generated content.”

Manitoba-made technology earns faith of investors across Canada

Blue light flashed as a robotic arm welded the metal in front of it.

Unlike other robots of its kind, this one uses artificial intelligence. It’s supposed to see and adjust its movements if a part it’s working on doesn’t match the standard piece.

It’s Manitoba-made technology that investors across Canada are betting on. TetraGen Robotics, the technology’s creator, announced it had raised $1.8 million in an oversubscribed seed funding round.

It announced the funding Monday afternoon. Jim Richardson, from the family behind Richardson International, is among the investors listed online.

AI fears voiced during public consultation in Brandon

Security against cybercriminals, safeguards against being tracked or monitored and limiting the role of artificial intelligence in people’s lives were some of the concerns raised during a public consultation in Brandon Monday.

Watching while we work

For many employees, the idea that their employer might be tracking how long they spend at their keyboard, how often they move their mouse, or whether they are actively working throughout the day feels unsettling. For many employers, however, workplace surveillance is increasingly viewed as another management tool, particularly as hybrid and remote work become more common. The recent news that TD plans to monitor certain employees’ activity during the workday has reignited a conversation that has been quietly growing for several years: where is the line between legitimate oversight and excessive monitoring?

The reality is that workplace surveillance is nothing new. Employers have long monitored attendance, reviewed security camera footage, tracked company vehicles using GPS, audited expense reports, and reviewed internet usage on company-owned devices. What has changed is the sophistication of the technology. Today’s software can record login times, monitor application usage, track keystrokes, capture screenshots, analyze email activity, and even generate reports ranking employees based on their perceived productivity.

This naturally raises an important question. Does increased surveillance actually make people work harder?

The answer is not nearly as straightforward as many organizations hope.

Rise of computer program Lean has changed the field of mathematics — and how we assess the truth

There are two age-old laments about mathematics which persist to this day. The first is that either ourselves or someone we know will express that they are not a math person — an admission that we are not good at math, or that somehow we are not hardwired for it. But we don’t tend to admit the same for reading, writing, child rearing, cooking or other skills that we deem inherent to the human experience.

The second lament is one that asks why we even learn math. “We’ll never use this in the real world,” goes the saying, particularly within the context of pre-calculus mathematics or calculus itself.

Both of these laments are regrettable, and most certainly need to be corrected by the public education system. Because, as author Kevin Hartnett argues in his latest work, The Proof in the Code: How a Truth Machine is Transforming Math and AI, mathematics is not only the language of the universe, but also a pathway to learning how to reason and seek truth.

Mathematics, ergo, is the language, both the physical and the metaphysical.

Can federal legislation effectively rein in social media’s opaque algorithms and deceptive design features?

In June, when Ottawa introduced Bill C-34, the Safe Social Media Act, one element — plans to block children under the age of 16 from certain social media platforms — dominated headlines and fuelled debates.

But this marks just one component of a complex, 92-page bill that would enact two separate pieces of legislation: the Digital Safety Act and the Digital Safety Commission of Canada Act.

The Free Press took a close look at the tabled bill, breaking down the changes it would make, if passed.

Heritage Minister Marc Miller, whose department is responsible for the file, told reporters in June the bill meant to ramp up Canada’s oversight of Big Tech.

Even AI has to watch its diet

Imagine going to your doctor and have that doctor tell you how much they like a new health app — but when you ask them whether their family likes it, the doctor says “Oh, I don’t trust it enough to let them use it.” Or having your general contractor extol the benefits of robotic construction workers — while bluntly saying he’d never use them to work on his home.

Well, enter AI.

For the last nine months or so, there have been recurring stories about AI companies buying up huge stockpiles of rare and out-of-print books, and “harvesting” — and destroying — the physical books to train their AI models.

Plenty of people questioned the stories, and went to Snopes to see if there was any truth to the claim.

Government wants public input on use of AI

The province says it’s taking the lead when it comes to cybersecurity and artificial intelligence, but is it moving in the right direction?

Anthropic says its AI models hacked 3 organizations during testing

Anthropic said its artificial intelligence models hacked into three other organizations during testing, just days after ChatGPT maker OpenAI raised concerns over AI controls after it disclosed its rogue models hacked another company.

Anthropic, the San Francisco-based AI company behind Claude, posted on its website Thursday that it discovered the three incidents after reviewing more than 141,000 evaluation runs.

It had launched a “large-scale” cybersecurity review which specifically looked for evidence whether its AI models were able to access the internet from within testing environments that should have been sealed off, in response to the OpenAI incident, Anthropic said.

Anthropic said the models involved in the incidents were Claude Opus 4.7, Claude Mythos 5 and an internal research test model. The earliest incidents date to April, the AI company said.