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The Onslaught of Artificial Intelligence (AI) part 2

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By Evans Woherem, Ph.D

The advancement of AGI has ethical and societal implications, as it may alter our interactions with technology and our understanding of intelligence. For example, in the 1980s, Professor Weizenbaum created an AI-based system called ELIZA, which mimics a Rogerian Therapist and was one of the first natural language processing programs.

His system showed the shallowness of human-computer interaction and the risks associated with an overreliance on AI technologies. He was astonished to discover that his secretary had an emotional connection to the system, while using it, as if it were human, despite knowing that he wrote the code for it.

Weizenbaum used this experience to openly criticize the field of AI after he realized that people might treat AI systems like they were people. He argued that the hype surrounding the technology was unjustified and that it was unlikely that machines would ever be able to fully understand human thoughts or emotions.

Weizenbaum’s viewpoint on AI raises the question of whether or not AGI is truly possible and whether or not the concept of AGI is well-defined. It also emphasizes the importance of being realistic about what AI can or cannot do and avoiding overhyping the technology.

It is important to note that the field of AI has evolved significantly since Weizenbaum’s criticism, and some researchers have developed new methods, techniques, and theories that address some of AI’s limitations, such as Symbolic AI, Connectionist AI, and Hybrid AI.

Some AI researchers are working on developing AI systems capable of demonstrating human-like intelligence and consciousness, such as creating AI systems capable of passing the Turing or Chinese Room tests.

It is crucial to remember that Weizenbaum’s worries about AI remain valid today, and the discipline of AI continues to raise ethical and societal implications. As AI systems advance and become more capable, it is critical to consider the implications of their development and application.

For example, as AGI systems become competent at performing tasks previously thought to be unique to humans, it raises concerns about the future of work and the role of AI in society.

Furthermore, as AI systems improve their ability to understand and interpret human behaviour, issues about privacy, autonomy, and the possibility of AI being used negatively by individuals or society as a whole arise.

In light of these concerns, AI researchers and developers must think about the moral and societal implications of their work and develop AI systems that are open, auditable, accountable, and consistent with human values. Furthermore, society as a whole must engage in informed discussions about the future of AI and its potential impacts on our lives.

This includes involving stakeholders from diverse backgrounds and perspectives, such as ethicists, philosophers, sociologists, policymakers, and members of the public, in the development and governance of AI systems.

Additionally, there should be ongoing efforts to ensure that AI systems are developed and used responsibly and ethically, with measures in place to prevent unintended consequences and negative impacts on society.

  1. Divergent Viewpoints on the Prospects of AGI Morphing into ASI

While some researchers believe that AGI is possible, others think that it’s unlikely and that the concept of AGI is not well defined. The debate over whether AGIs will eventually “morph” into ASIs is divisive among AI researchers and experts for different reasons.

One argument in favour of this viewpoint is that, due to advances in technology and machine learning, AGIs will continue to develop quickly and may one day outperform human intellect in several fields. This means that AGIs will continually grow exponentially over time and eventually transform into ASIs.

However, since there are still many unresolved issues and unknowns surrounding AGI and ASI, many researchers are less optimistic about the timeline for their development. In addition, some specialists believe that the term “superintelligence” is ill-defined and too ambiguous, making it difficult to say whether or when AGIs will develop to that level.

Despite the difficulties, many researchers are still working on developing AGI and ASI because they think the potential advantages outweigh the risks. Improvements in decision-making, increased output, and the ability to solve problems that are currently insurmountable for humans are potential benefits.

However, to benefit from these advantages, the risks associated with AGI and ASI must be decreased by implementing the proper safety measures. In addition to addressing moral and ethical dilemmas, this requires developing strategies for monitoring and controlling AGI behaviour.

As pointed out earlier, majority of AI systems in use today are referred to as “Narrow AIs” because they are designed to carry out specific tasks.

Examples of these types of AI include IBM’s Watson and DeepBlue, Expert Systems, and AlphaGo, all of which exhibit intelligent behaviour within a specific domain, but do not possess the general intelligence that humans have. Some of these systems may have high levels of proficiency or intelligence in their specific areas, but they do not have the broad intelligence that humans possess.

It is important to note that this is often a starting point in the progress towards creating a general AI. Some researchers typically begin by developing AI systems that are particularly skilled in one area and then use the insights and knowledge gained from these systems to advance the development of more general AI systems. Organizations such as the AGI Society, Berkeley Artificial Intelligence Research, CSAIL at MIT, Facebook AI Research, Google DeepMind, and the Human-Level Artificial Intelligence (HLAI) Conference demonstrate that there is ongoing work in the field of AGI and that many experts are working to create more general AI systems.

I am among those who are nervous about the unleashing of AGI systems in our society. I therefore believe that when designing and implementing AGI, it is critical to proceed with caution and care.

Technologies are amoral; they can be used for good, such as increased efficiency and productivity in various industries, but they can also pose risks, such as job displacement, security threats, and ethical concerns, depending on the motivations of those who create them.

Before proceeding with AGI development and implementation, it is critical to consider the potential risks and benefits, as well as the consequences of AGI morphing into ASI and the impact they could have on human jobs and sense of uniqueness in the world.

Even though we still do not have AGIs today, Ray Kurzweil, among other AI experts, predicts that AGIs will be developed by 2045, citing the Law of Accelerating Returns, which deduces that the rate of technological growth is exponential.

It is crucial to keep in mind that these projections are based on current trends and advancements in the field of AI and that developing AGI is a complex and ongoing process that might not occur in a specific order.

It is also worth noting that AGI does not necessarily imply replicating all human capabilities; rather, it could refer to systems that are advanced enough that humans perceive them as AGI, but the consequences of having such systems are unknown.

It could be compared to opening a Pandora’s Box or attempting to construct a new Tower of Babel, with unknown and potentially negative consequences for humanity and the world. I believe in the long run, the net effect will be negative, perhaps even catastrophic, for our earth, unless we do something to regulate them appropriately.

  1. Implications of AI

Humans have been attempting to increase the forms, types, places, and reach of communication, resulting in the emergence of many forms of communication, including written language, oral language, sign language, and more recently, digital communication.

For example, through the use of books, letters, and other written documents, written language has made it possible for humans to communicate over great distances and long periods. The printing press facilitated written communication after the fifteenth century. The telephone and telegraph enabled long-distance communication in the nineteenth century.

The development of radio, television and the internet has significantly expanded the reach and extensibility of communication and information during the 20th century. Communication with anyone at any time is now possible thanks to the internet and mobile technology. Social networking and instant messaging are new forms of communication as well.

Most machines developed during the agrarian, industrial, and post-industrial eras have ended up deskilling and displacing humans from their traditional vocations, whether in crafts, blue-collar, or clerical work.

However, they have also increased production and opened up new areas of labour for individuals who were displaced. As a result, there have been more employment increases than job losses overall. Many of stakeholders believe that this will always be the case, even for artificial intelligence systems.

However, AI can replace not only monotonous administrative and physical tasks, but also virtually every other job, including those of artists, programmers, teachers, doctors, researchers, lawyers, accountants, and managers—indeed, everyone’s work. Managers have believed that having 1,000 employees will cause 1,000 headaches for them since the beginning of time. So, they will employ whatever machines or methods that allow them to eliminate numerous workers.

However, it is important to note that the impact of AI on the workforce will likely be more complex than simply replacing jobs. AI has the potential to improve human capabilities, produce more work, and create new jobs. Additionally, the rate at which AI will impact different industries and job types will vary, and some jobs may be more resilient to automation than others. It is also important to consider the ethical and societal implications of AI and its impact on the workforce.

For example, there may be concerns about income inequality and the displacement of certain groups of workers. It is crucial for policymakers and industry leaders to carefully consider these issues and develop strategies to mitigate negative impacts while harnessing the potential benefits of AI. Moreover, there is a need to think about retraining programs, education and upskilling of the workforce, and to ensure that the benefits of AI are shared equitably across society.

Continues in part 3…..


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Firm Detected a Fivefold Surge in QR Code Phishing Attacks in the Second Half of 2025

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Kaspersky has reported a spike in phishing emails containing malicious QR codes. Detections for these jumped from 46,969 in August 2025 to 249,723 in November 2025 – a more than fivefold growth – as cybercriminals increasingly exploit QR codes, a trend that will likely continue in 2026.

Attackers use QR codes in emails more frequently because they provide a simple and cost-effective way to conceal malicious URLs, evading detection by many protective solutions.

These QR codes are often embedded directly in email bodies or, even more commonly, within PDF attachments – an evolution that both masks phishing links and encourages users to scan them on mobile phones, which may have weaker security than work PCs.

Malicious QR codes commonly appear in mass phishing campaigns as well as targeted ones. Links embedded within them may lead to:

  • Phishing forms impersonating login pages for services like Microsoft accounts or internal corporate portals, designed to steal usernames, passwords, and other credentials.
  • Fake HR notifications urging employees to review or sign documents, such as vacation schedules, or even view lists of terminated staff, ultimately directing to credential-stealing sites.
  • Fraudulent invoices or purchase confirmations in PDF attachments, often combined with vishing (voice phishing) tactics that prompt victims to call provided phone numbers to “cancel” or clarify the transaction, enabling further social engineering attacks.

These tactics exploit trust in routine business communications, leading to credential theft, account takeovers, data breaches, and financial fraud.

“Malicious QR codes have evolved into one of the most effective phishing tools, particularly when hidden in PDF attachments or disguised as legitimate business communications like HR updates.

“The explosive growth in November 2025 highlights how attackers are capitalising on this low-cost evasion technique to target employees on mobile devices, where protection is often minimal.

“Without advanced image analysis at the email gateway and safe scanning practices, organisations are left vulnerable to credential compromise and downstream breaches,” comments Roman Dedenok, Anti-Spam Expert at Kaspersky.

To defend against this escalating threat, Kaspersky recommends educating employees on cybersecurity and deploying a mail server security solution such as Kaspersky Security for Mail Server that provides trusted and secure corporate email exchange, countering spam, email-borne infections, all forms of phishing, business email compromise (BEC), QR code attacks, and other threats.


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JustMarkets Unveils Top 5 Trading Assets for 2026 Profits

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As the world markets continue into a new cycle that sees them plunging into much trouble and uncertainty, the year 2026 beckons to be one that is ridden with high uncertainty and volatility in terms of geopolitical and macroeconomic trends. Although the year may pose various threats to traders, it also comes along with unparalleled opportunities that may be leveraged to achieve trading success through various trading assets set to display notable volatility trends in the year 2026.

JustMarkets Unveils Top 5 Trading Assets for 2026 Profits

JustMarkets

From long-term fundamentals to trading dynamics, these five key assets on JustMarkets are set to continue to be at the forefront in trading in 2026.

1. Gold (XAU/USD): The Ultimate Macro-Driven Asset

The gold price in 2025 reached $4,500 per troy ounce, and it continues to be one of the most traded assets world-wide. Gold is extremely sensitive to changes in the levels of inflation, interest rate forecasts, geopolitical events, and currency exchange rate movements. The recent years have shown the ability of the gold market to provide an extremely strong bullish momentum, as well as intraday momentum.

The relevance of the market of gold in the year 2026 specifically stems from the fact that the environment surrounding the economy of the world is facing challenges associated with growth, debt, and the policies of monetary easing. Despite the falling inflation rate in the economy, the real interest rates are also expected to be pressured downward, which has traditionally translated to favorable market conditions for the price of gold. The factor of geopolitics uncertainty and tensions between specific countries also adds to the significance of the market of gold.

For traders, the market offers favorable conditions because of its high volatility regime with adequate liquidity.

2. Silver (XAG/USD): Volatility with a Dual Personality

Silver often overshadows gold, but its performance in 2025 significantly outperformed its main competitor. The precious metal briefly reached $85, making it one of the best-performing assets in 2025. While silver, like gold, is sensitive to monetary policy and market sentiment, it also enjoys strong industrial demand related to energy transition technologies, electronics, and manufacturing.

This dual nature makes silver one of the most volatile and fastest-growing precious metals and trading instruments overall. In 2026, as global growth expectations fluctuate and industrial cycles remain uneven, silver will experience sharp directional movements and prolonged periods of volatility, but will fundamentally maintain a growth trend similar to gold.

For traders seeking high volatility, silver offers even greater percentage swings than gold, making it a powerful tool for well-managed strategies, both scalping and holding positions for multiple days.

3. Oil (WTI & Brent): Trading Supply, Politics, and Policy

Oil is still among the market-sensitive commodities. The change in OPEC+ production levels, global events affecting major oil-producing nations, as well as changes in global demand can cause prices to surge within a matter of hours.

Turning the focus on the outlook for the year 2026, it seems likely that the oil market will face well-supplied conditions. However, this will not mean extremely small degrees of volatility. Events surrounding Venezuela represent yet another key source of uncertainty. Changes within US policies regarding Venezuela, the export of oil, and the political leadership of the country could represent important influences on the levels of supply, especially when the focus shifts towards the heavier grades. Yet, the possibility of a substantial recovery looks very unlikely.

Even in highly saturated markets, surprise disruptions, production policy changes, or geopolitical tensions, particularly in the Middle East, Eastern Europe, and Latin America, can cause sharp price moves. Conversely, macroeconomic growth slowdowns or money market cycles may exert pressures on demands, thereby leading to highly two-sided markets.

4. US Stock Indices (Dow 30, S&P 500, Nasdaq): Liquidity and Trend Potential

US indices continue to be key trading assets in global trading activity. The Dow Jones, S&P 500, and Nasdaq reflect US economic performance, as well as global risk appetite, capital flows, and technological leadership, primarily driven by the AI boom.

In 2026, stock markets are likely to face divergent forces. On the one hand, monetary easing is supporting valuations, while slowing economic growth, declining interest in AI, and political uncertainty are increasing volatility and the risk of a deeper sell-off. This combination often leads to strong moves, deep corrections, and renewed all-time highs.

Indices offer unrivaled liquidity, clear technical behavior, and the ability to express macroeconomic views without the risk associated with individual stocks, making them important tools for both short-term and position traders.

5. EUR/USD: The World’s Most Traded Currency Pair

EUR/USD remains the benchmark for forex trading. Its deep liquidity, tight spreads, and technical clarity make it a favorite among professional traders. More importantly, the euro reflects the balance between the world’s two most influential central banks: the Federal Reserve and the European Central Bank.

As interest rate differentials narrow and fiscal dynamics shift on both sides of the Atlantic, there’s every reason to believe EUR/USD will experience prolonged and powerful trending phases, punctuated by strong reactions to economic data and central bank signals.

In 2026, shifts in growth expectations, inflation trajectories, and political developments in both regions will keep this pair highly active, making EUR/USD a preferred option for traders who value stability, transparency, and adaptability across all trading styles.

Perfect Assets to Trade in 2026

These five markets unite their relevance on a global stage, and the responsiveness of these markets to macroeconomic and geopolitical events. Markets traded in gold, silver, oil, US indices, and the currency pair EUR/USD include the combination of markets most traders seek: deep liquidity, clear structure, and meaningful volatility.

On the JustMarkets trading platform, these instruments excel because of the optimal trading conditions offered, ensuring effective active trading. Tight spreads, fast execution of orders, as well as high leverage of up to 3000, enable traders to react swiftly to key market drivers, such as central bank statements or inflation figures, as well as geopolitical events.


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Firm Detected a Scam Exploiting OpenAI’s Teamwork Features

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Kaspersky has detected a scam tactic leveraging the OpenAI platform. Attackers are abusing OpenAI’s organisation creation and team invitation features to send spam emails from legitimate OpenAI addresses, potentially tricking users into clicking scam links or calling fraudulent phone numbers.

The spam campaign begins with attackers registering an account on the OpenAI platform. During registration, users are prompted to enter an organisation name, which can consist of any combination of symbols. Scammers exploit this by embedding deceptive text and fraudulent links or phone numbers directly into the field for organisation name itself.

Once the “organisation” is created, OpenAI provides an option to “invite your team,” allowing the input of target email addresses of victims. When invitations are sent, they originate from OpenAI’s address, making them appear fully legitimate from a technical standpoint.

Kaspersky detected several types of messages containing email threats sent in such a way. These are scam emails that promote fraudulent offers, such as adult services. Another attack angle is vishing – false notifications claiming a subscription has been renewed for a large sum: attackers instruct recipients to call a provided phone number to “cancel” the charge or take other actions that lead to further compromise. There may also be other email threats spreading via OpenAI platform.

The text that the attackers want the victims to read (highlighted in bold in the email template) is structurally inconsistent with the rest of the email template – which was originally designed to invite project collaborators. But the attackers bet on the fact that the victims would not pay attention.

“This case highlights a vulnerability in how platform features can be weaponised for social engineering email attacks. By embedding deceptive elements in seemingly innocuous fields like organisation names, scammers attempt to bypass traditional email filters and exploit user trust in reputable services.

“We urge all users to verify invitations carefully and avoid clicking embedded links without scrutiny. We also recommend brands to consider whether their online services or platforms could be abused by attackers,” comments Anna Lazaricheva, senior spam analyst at Kaspersky.

 


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