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Fraud experts warn of smishing scams made easier by artificial intelligence, new tech

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If it seems like your phone has been blowing up with more spam text messages recently, it probably is.

The Canadian Anti-Fraud Centre says so-called smishing attempts appear to be on the rise, thanks in part to new technologies that allow for co-ordinated bulk attacks.

The centre’s communications outreach officer Jeff Horncastle says the agency has actually received fewer fraud reports in the first six months of 2025, but that can be misleading because so few people actually alert the centre to incidents.

He says smishing is “more than likely increasing” with help from artificial intelligence tools that can craft convincing messages or scour data from security breaches to uncover new targets.

The warning comes as the Competition Bureau sent a recent alert about the tactic because it says many people are seeing more suspicious text messages.

Smishing is a sort of portmanteau of SMS and phishing in which a text message is used to try to get the target to click on a link and provide personal information.

The ruse comes in many forms but often involves a message that purports to come from a real organization or business urging immediate action to address an alleged problem.

It could be about an undeliverable package, a suspended bank account or news of a tax refund.

Horncastle says it differs from more involved scams such as a text invitation to call a supposed job recruiter, who then tries to extract personal or financial information by phone.

Nevertheless, he says a text scam might be quite sophisticated since today’s fraudsters can use artificial intelligence to scan data leaks for personal details that bolster the hoax, or use AI writing tools to help write convincing text messages.

“In the past, part of our messaging was always: watch for spelling mistakes. It’s not always the case now,” he says.

“Now, this message could be coming from another country where English may not be the first language but because the technology is available, there may not be spelling mistakes like there were a couple of years ago.”

The Competition Bureau warns against clicking on suspicious links and forwarding texts to 7726 (SPAM), so that the cellular provider can investigate further. It also encourages people to delete smishing messages, block the number and ignore texts even if they ask to reply with “STOP” or “NO.”

Horncastle says the centre received 886 reports of smishing in the first six months of 2025, up to June 30. That’s trending downwards from 2,546 reports in 2024, which was a drop from 3,874 in 2023. That too, was a drop in reports from 7,380 in 2022.



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Indiana University Researchers Develop AI Method to Reduce 18-Month Wait Times for Autism and ADHD Diagnoses – geneonline.com

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Indiana University Researchers Develop AI Method to Reduce 18-Month Wait Times for Autism and ADHD Diagnoses  geneonline.com



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Mystery interstellar object could be the oldest known comet

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A mystery interstellar object spotted last week by astronomers could be the oldest comet ever seen, according to scientists.

Named 3I/Atlas, it may be three billion years older than our own solar system, suggests the team from Oxford university.

It is only the third time we have detected an object that has come from beyond our solar system.

The preliminary findings were presented on Friday at the national meeting of the UK’s Royal Astronomical Society in Durham.

“We’re all very excited by 3I/Atlas,” University of Oxford astronomer Matthew Hopkins told BBC News. He had just finished his PhD studies when the object was discovered.

He says it could be more than seven billion years old, and it may be the most remarkable interstellar visitor yet.

3I/Atlas was first spotted on 1 July 2025 by the ATLAS survey telescope in Chile, when it was about 670 million km from the Sun.

Since then astronomers around the world have been racing to identify its path and discover more details about it.

Mr Hopkins believes it originated in the Milky Way’s ‘thick disk’. This is a group of ancient stars that orbit above and below the area where the Sun and most stars are located.

The team believe that because 3I/ATLAS probably formed around an old star, it is made up of a lot of water ice.

That means that as it approaches the Sun later this year, the energy from the Sun will heat the object’s surface, leading to blazes of vapour and dust.

That could create a glowing tail.

The researchers made their findings using a model developed by Mr Hopkins.

“This is an object from a part of the galaxy we’ve never seen up close before,” said Professor Chris Lintott, co-author of the study.

“We think there’s a two-thirds chance this comet is older than the solar system, and that it’s been drifting through interstellar space ever since.”

Later this year, 3I/ATLAS should be visible from Earth using amateur telescopes.

Before 3I/Atlas soared into view, just two others had been seen. One was called 1I/’Oumuamua, found in 2017 and another called 2I/Borisov, discovered in 2019.

Astronomers globally are currently gearing up to start using a new, very powerful telescope in Chile, called the Vera C Rubin.

When it starts fully surveying the southern night sky later this year, scientists expect that it could discover between 5 and 50 new interstellar objects.



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Thinking of Buying C3.ai Stock? Here Are 2 Red Flags to Consider.

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C3.ai (NYSE: AI) is one of the most talked-about artificial intelligence (AI) stocks on the market today. With a platform purpose-built for enterprise customers, early traction in generative AI, and expanding partnerships with cloud and consulting giants, the company checks many of the right boxes for investors looking to gain exposure to the AI megatrend.

However, before getting swept up in the narrative, it’s worth pausing to look beneath the surface. While the company is making the right strategic moves, it’s still early — and the numbers reveal a business that has a lot more to prove.

This article will cover two red flags to keep in mind.

Image source: Getty Images.

C3.ai has carved out a unique position as a pure-play enterprise AI platform company. It doesn’t build flashy consumer chatbots. Instead, it helps large organizations deploy AI across real-world operations — from supply chains to energy grids to battlefield logistics.

Using the C3 Agentic AI Platform, a company can quickly develop and implement AI in its operations or leverage C3 AI Applications for prebuilt applications in sectors like energy, defense, and manufacturing. Later on, enterprises can deploy C3 Generative AI to create AI agents.

By focusing on prebuilt agents and vertical-specific tools, C3.ai aims to simplify deployment and shorten the time from pilot to production. Moreover, it’s moving toward a consumption-based pricing model, allowing customers to start small and scale their usage over time — a shift that aligns incentives and could smooth out the adoption process.

In short, there’s a solid case for optimism about C3.ai’s long-term potential, especially as large enterprises’ adoption of AI picks up.

Like most growth companies, C3.ai incurs significant cash expenditures as it invests in platform development and customer acquisition. The company has been unprofitable since its inception in 2009, with accumulated losses totaling $1.4 billion as of April 30, 2025.

That’s despite years of riding a major AI tailwind. It guided for non-GAAP (adjusted) loss from operations to be around $100 million in fiscal year 26, ending April 30, 2026. While it ended the year with $743 million in cash and equivalents, that cushion could shrink quickly if the current pace of losses continues.

It’s not uncommon for high-growth software companies to operate at a loss for years — Amazon and Salesforce are examples. However, the issue is that C3.ai’s growth hasn’t kept pace with spending. For instance, it guided the fiscal year 2026 revenue growth rate to be between 15% and 25% — solid, but nothing to shout about.

The silver lining here is that growth has slowly accelerated (averaging above 20%) over the last five quarters, suggesting that the company could deliver at the higher end of its guidance.

Additionally, the AI company signed 264 agreements in fiscal year 2025, representing a 38% year-over-year increase. Given that there’s usually a time lag between signing agreements and revenue flowing in, investors may see better growth rates in the coming quarters.

The bottom line is that C3.ai is spending like a hypergrowth company but growing like a mature one. It needs to either accelerate top-line growth or rein in operating losses — ideally both.

When C3.ai went public, it was one of the few public companies offering a full-stack enterprise AI platform. That’s no longer the case.

Today, C3.ai faces pressure from multiple directions. On one side, big tech companies, such as Microsoft, are embedding AI into Azure and its entire software stack. Similarly, Google Cloud and AWS are investing heavily in AI infrastructure and developer tools. These firms not only have more capital, but they also already have established customer relationships.

Besides, smaller but fast-moving start-ups are building narrow, agentic AI tools for sales, logistics, customer service, and more, many of which are easier to implement and priced more flexibly. Even C3.ai’s closest peer, Palantir, has stepped up its generative AI strategy with its Artificial Intelligence Platform (AIP) — gaining traction in both government and commercial markets.

To stay relevant, C3.ai must continue to solve complex customer problems in core verticals such as defense, energy, and industrial manufacturing. If not, it risks being relegated to a niche role — or worse, being left behind as newer solutions become the standard.

In short, it’s no longer enough for the company to have a head start. It must continue to deepen its moat or risk losing its competitive edge in the long term.

C3.ai is doing many things right. It’s focused on enterprise AI rather than the overcrowded consumer AI market, is early in a large market, and is investing heavily in its future.

Still, the question is whether the company can scale quickly enough to become the gold standard in its key verticals and, along the way, reduce its losses to deliver massive profits.

Until then, an investment in C3.ai stock remains highly speculative.

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John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Lawrence Nga has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon, Microsoft, Palantir Technologies, and Salesforce. The Motley Fool recommends C3.ai and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

Thinking of Buying C3.ai Stock? Here Are 2 Red Flags to Consider. was originally published by The Motley Fool



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