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How researchers say you can avoid an online scam

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Keeping up with the latest digital cons is exhausting. Fraudsters always seem to be one step ahead. But our study found there is one simple thing you can do to drastically reduce your chances of losing money to web scams: slow down.

In fact, among the various techniques used by scammers, creating a sense of urgency or the need to act or respond quickly is probably the most damaging. As with many legitimate sales, acting fast reduces your ability to think carefully, evaluate information and make a careful decision.

The COVID lockdowns made us all more reliant on online services such as shopping and banking. Quick to take advantage of this trend, scammers have since increased the rate and spectrum of online fraud. Cybersecurity company F5 found phishing attacks alone increased by over 200% during the height of the global pandemic, compared to the yearly average.

One fraud type many people fall victim to is fake websites (spoof legitimate business or government websites). According to a nonprofit that handles consumer complaints Better Business Bureau, fake websites are one of the leading reported scams. They caused estimated retail losses of approximately US$380 million (£316 million) in the US in 2022. Actually, losses are probably far higher because many cases go unreported.

How to know

We developed a series of experiments to evaluate what factors impact people’s ability to distinguish between real and fake websites. In our studies, participants viewed screenshots of real and fake versions of six websites: Amazon, ASOS, Lloyds Bank, the World Health Organisation COVID-19 donation website, PayPal and HMRC. The number of participants varied, but we had more than 200 in each experiment.

Each study involved asking participants whether they thought the screenshots showed authentic websites or not. Afterwards, they also took tests to evaluate their internet knowledge and analytical reasoning. Earlier research has shown analytical reasoning impacts our ability to tell between real and fake news and phishing emails.

People tend to employ two types of information processing – system one and system two. System one is quick, automatic, intuitive and related to our emotions. We know experts rely on system one to make quick decisions. System two is slow, conscious and laborious. The ability to perform well on analytical reasoning tasks has been associated with system two but not system one thinking. So we used analytical reasoning tasks as a proxy to help us tell whether people are leaning more on system one or two thinking.

An example of one of the questions in our analytical reasoning test is: “A bat and ball together cost $1.10. The bat costs $1.00 more than the ball. How much does the ball cost?”

The big reveal

Our results showed higher analytical reasoning ability was linked to a better ability to tell fake and real websites apart.

Other researchers have found time pressure reduces people’s ability to detect phishing emails. It also tends to engage system one processing rather than system two. Scammers do not want us to carefully evaluate the information but engage emotionally with it. So our next step was to give people less time (about 10 seconds compared to 20 seconds in the first experiment) to do the task.

This time we used a new set of participants. We found participants who had less time to judge the credibility of a webpage showed poorer ability to discriminate between real and fake websites. They were about 50% less accurate compared to the group who had 20 seconds to decide whether a website was fake or real.

In our final study, we provided a new set of participants with 15 tips on how to spot fake websites (for instance, check the domain name). We also asked half of them to prioritise accuracy and take as much time as they needed while the other half were instructed to work as quickly as possible. Working quickly rather than accurately was linked to worse performance, and to poor recall of the 15 tips we provided earlier.

Is it for real?

With increasing internet use among all age groups, scammers are capitalising on peoples’ tendencies to use more intuitive information processing mechanisms to evaluate whether a website is legitimate. Scammers often design their solicitations in a way that encourages people to act quickly because they know that decisions made under such conditions are in their favour. For example, advertising that a discount is ending soon.

Muck of the advice about how to identify fake websites suggests you carefully examine the domain name, check for the padlock symbol, use website checkers such as Get Safe Online, look for spelling errors, and be wary of deals that sound too good to be true. These suggestions, obviously, require time and deliberate action. Indeed, possibly the best advice you could follow is: slow down.

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OpenAI releases GPT-5.1 with enhanced conversational features

OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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In Short:
– OpenAI launched GPT-5.1 with two models to improve ChatGPT’s conversation and user control.
– The update, initially for paid users, addresses prior complaints and introduces adaptive reasoning and personality presets.
OpenAI launched GPT-5.1 today, featuring two upgraded models aimed at enhancing ChatGPT’s conversational abilities and providing users better control over its personality.The update started rolling out to paid subscribers on November 12, introducing GPT-5.1 Instant and GPT-5.1 Thinking, both designed to address complaints regarding the original GPT-5 release in August.

GPT-5.1 Instant is said to be “warmer by default and more conversational,” with early testers noting its playfulness while remaining clear and useful.

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The launch follows a backlash from users after GPT-5’s release, who criticized its “colder” tone and the removal of previous models like GPT-4o. OpenAI’s CEO, Sam Altman, admitted that discontinuing GPT-4o “was a mistake” and acknowledged the emotional attachment users had to specific models.

Adaptive Reasoning

GPT-5.1 Instant introduces adaptive reasoning, which helps it determine when to “think before responding” to complex questions.

This leads to marked improvements in mathematical and coding tasks. GPT-5.1 Thinking adjusts processing time based on the task, resulting in clearer explanations and improved ease of use for various tasks.

The new version includes six personality presets, allowing users to tailor interactions. OpenAI aims for the model to integrate cognitive and emotional intelligence effectively.

For now, the rollout is for paid users, with free access occurring soon. Both models will be available via API, and legacy models will remain accessible for three months.


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Apple postpones iPhone Air sequel due to poor sales

Apple delays iPhone Air 2 indefinitely after lacklustre sales of first model

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Apple delays iPhone Air 2 indefinitely after lacklustre sales of first model

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In Short:
– Apple has postponed the iPhone Air’s launch due to poor sales of the current model.
– Production of the iPhone Air will stop, with Foxconn and Luxshare ceasing manufacturing by November and October respectively.
Apple has delayed the launch of its second-generation iPhone Air, which was scheduled for fall 2026, due to disappointing sales of the current model that debuted two months ago, as reported by The Information.Engineers and suppliers have been informed that the iPhone Air will be removed from the production schedule without a new release date.

The decision coincides with a significant reduction in the production of the existing model. Foxconn is expected to cease all manufacturing by the end of November, while Luxshare will stop production by the end of October.

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Sales for the iPhone Air have not met Apple’s expectations since its launch in September. Foxconn has limited its production lines for the device, and future orders are projected to decrease significantly. A survey indicated nearly no demand for the iPhone Air, with consumers instead choosing the iPhone 17 and iPhone 17 Pro models.

Production Challenges

The underperformance of the iPhone Air continues a trend of failed attempts by Apple to add a fourth model to its lineup.

The iPhone mini was previously discontinued after poor sales, followed by the larger Plus models, which faced similar challenges.

Apple had intended to develop a lighter second-generation iPhone Air with improved specifications but may now reconsider its design approach. The company also has plans for a staggered launch of the iPhone 18 lineup set for 2026 and early 2027.


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Tech giants’ $47 billion AI infrastructure deals announced

Tech giants commit $47.7 billion to AI deals as demand for computing power soars and market diverges

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Tech giants commit $47.7 billion to AI deals as demand for computing power soars and market diverges

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In Short:
– Wall Street started November mixed as AI deals boosted tech stocks, especially Amazon’s share price after a major agreement.
– OpenAI plans $1.4 trillion investment for computing resources, with Big Tech predicting over $250 billion AI infrastructure spending this year.
Wall Street began the month with mixed performances as major artificial intelligence deals influenced tech stocks positively, while broader market indices diverged.
Amazon’s shares rose over 5% following a significant $38 billion cloud services agreement with OpenAI, contributing to gains for the Nasdaq despite a decline in the Dow.The seven-year collaboration with Amazon Web Services marks OpenAI’s first major partnership with AWS, offering access to Nvidia graphics processing units essential for its AI expansion.

Amazon commented on the soaring demand for computing power resulting from rapid AI advancements, aiming for full capacity deployment by the end of 2026.

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Microsoft also sealed a $9.7 billion agreement with IREN, highlighting the industry’s insatiable need for cloud capacity.

The collaborations depict Big Tech’s ongoing commitment to AI infrastructure, with significant investments aimed at catering to the escalating demand for computing resources.

Investment Perspective

OpenAI CEO Sam Altman revealed intentions to invest $1.4 trillion to create 30 gigawatts of computing resources.

Major players, including Microsoft, Alphabet, Amazon, and Meta, have adjusted their capital expenditure forecasts for 2025, anticipating AI infrastructure spending to surpass $250 billion this year.

Despite market caution regarding inflated valuations, analysts remain optimistic about growth in the sector. Even amidst fears of an AI bubble, industry leaders assert ongoing investments will continue to bolster market performance through 2026.


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