Estimated reading time: 6 minutes

• Ultimate benchmark: HLE features 2,500 expert-level questions.
• Focus on reasoning: It assesses AI’s critical thinking and problem-solving skills.
• High-stakes testing: Designed to challenge the best AI models available.
• Implications for the future: Offers insights into AI capabilities and limitations.
• Not a free lunch: Critiques highlight its limitations in real-world application.

The Conception of HLE: A Brainchild of Necessity

HLE didn’t just materialize from thin air. It was conceived by the Center for AI Safety and Scale AI, among others, in response to a notable issue: existing tests were as effective as trying to teach a cat to fetch. With the likes of MMLU (Massive Multitask Language Understanding) saturating the field, AI models were cruising through easier benchmarks. HLE was established as a high-stakes benchmark focusing on advanced reasoning rather than the boring old “recall this stuff” game.

The Nature paper titled “A benchmark of expert-level academic questions to assess AI capabilities” lays the groundwork for HLE, with its focus on multi-step reasoning in disciplines like mathematics, natural sciences, humanities, computer science, literature, and history. Basically, it takes the “intelligence” in “artificial intelligence” and gives it a workout.

The Structure of HLE: Questioning Everything (Almost)

Key Features

HLE is composed of a whopping 2,500 public questions, with an additional ~500 holdout questions that remain guarded like celebrity secrets. Here’s the breakdown:

• Question Types:
  • Approximately 76% of the questions are short answers (which means AI can’t just regurgitate facts like parakeets).
  • About 24% are multiple-choice (because nothing says “you’re trapped” quite like a question with options).
  • Roughly 14% are multimodal, which means they require the brainpower to analyze both text and images.

Difficulty Criteria

The questions aren’t your run-of-the-mill trivia. They are original, possess a single verifiable answer, and are designed to stump those cutting-edge large language models (LLMs). A meticulous filtering process culled ~70,000 questions to a mere 6,000, ultimately resulting in the final public and private sets.

1. Filtered from 70,000 to around 13,000 through expert peer review.
2. Shrunk to ~6,000 after manual approval.
3. Final split: 2,500 public and ~500 private questions.

The results were striking: even cutting-edge AI models stumbled on this exam. GPT-4o managed just 2.7% accuracy, while Claude 3.5 Sonnet scored 4.1%, and OpenAI’s o1 model topped out at roughly 8%. However, newer systems showed dramatic improvement—Gemini 3.1 Pro and Claude Opus 4.6 leaped to 40-50% accuracy, signaling rapid progress in the field.

Why HLE is Crucial: The Benchmark of Intelligence

While many benchmarks put AI’s capabilities on display, HLE takes matters a step further. It doesn’t just throw questions at AI models but assesses their capability to understand and work through complex reasoning tasks. Performance data reveals that even state-of-the-art LLMs fail to shine, showcasing low accuracy and a whopping gap between AI’s capabilities and human expertise.

This is where it gets spicy. HLE isn’t just another box-ticking exercise; it offers a glimpse into the future of AI development. Here’s a handy comparison of benchmark tests to illustrate the unique nature of HLE:

Implications for the Future

HLE acts as a robust metric for tracking how far AI models actually progress. It’s a tool for scientists, policymakers, and educators to assess AI capabilities without implying that these systems possess full artificial general intelligence (AGI). Let’s face it: A high score on HLE doesn’t mean AIs are on the brink of leading revolutions. They might be great at formal exams but completely clueless about real-world nuances or the art of synthesizing disparate information.

Gotchas: The Limitations and Trade-offs

There’s no such thing as a free lunch, and HLE comes with its concerns. Testing structured problems is one thing; navigating the unpredictable waters of real-world scenarios is another. Critics argue that while HLE may serve as an impressive benchmark, it doesn’t capture the ability to handle messy, chaotic information that humans navigate instinctively every day.

A major limitation is that HLE focuses on closed-ended questions, which don’t lend themselves to AI creativity or synthesis of information in novel ways. Moreover, high scores could signal “inhuman” reasoning — and isn’t that what we need to worry about? Who wants an overconfident AI spouting answers as if it were a know-it-all? It begs the question: How much intelligence is too much?

What’s Next: The Future of AI Testing

The future holds intriguing possibilities. As discussions around the implications of HLE unfold, it’s becoming clear that this assessment tool will be critical in evaluating AI’s role in education, safety, and beyond. Hosting the benchmark at agi.safe.ai also opens avenues for educators and curious minds to engage with these public questions and potentially craft fresh, innovative learning experiences.

More research and iterations are needed, especially in exploring how well AI can integrate disparate pieces of information and engage in creative solutions. As AI models grow ever more sophisticated, the means of testing their capabilities must evolve with sophistication that matches their potential.

In essence, HLE is not the end but rather the beginning of a comprehensive understanding of AI capabilities — a vital stepping stone toward figuring out just how smart these artificial minds can get. If the last exam is a sign of what’s to come, the future of AI tests is bound to be as unpredictable as a cat on a hot tin roof.

FAQ

• What is HLE? HLE stands for Humanity’s Last Exam, a benchmark aimed at assessing AI’s advanced reasoning capabilities.
• How many questions are in HLE? HLE consists of 2,500 public questions and ~500 holdout questions.
• What subjects does HLE cover? It spans a range of disciplines including mathematics, natural sciences, humanities, and more.
• Why is HLE important? It challenges AI models to demonstrate understanding and problem-solving skills rather than mere recall.
• What are the limitations of HLE? Critics argue it does not effectively evaluate AI’s ability to navigate real-world scenarios and may focus too heavily on closed-ended questions.

The post Exploring Humanity’s Last Exam for AI Intelligence Assessment appeared first on That Freaky NewGuy.

Estimated reading time: 5 minutes

• Embracing a healthy skepticism can enhance your trading strategy.
• Scalping can be quick but requires solid risk management.
• Long-term trading reduces emotional strain and improves patience.
• News reactions can be strategically exploited to enhance trades.
• A bit of cynicism can help mitigate overinflated market optimism.

Let’s be honest for a second: if you’re a Forex trader, the last thing you want to feel is enthused and optimistic. The Forex market can sometimes feel like it’s designed specifically to put a damp towel on your dreams of financial freedom—or at least dampen your mood every time you accidentally click “buy” instead of “sell.” So, what if we flipped the script and embraced a trading strategy that aligns with our inner cynic? Spoiler alert: it involves a mix of realistic expectations, solid risk management, and a touch of sarcasm. Today, we’re diving into trading strategies suited for the more cynical among us.

Embracing Cynicism: The Archetype of a Forex Trader

Before we jump into the nitty-gritty of trading strategies, let’s unpack what it means to be a “cynical trader.” This isn’t about being pessimistic all the time; it’s about having a healthy skepticism that keeps you questioning everything—especially those rosy predictions from “forex gurus” on social media.

Cynical traders often assume the following:

• Market Manipulation Is a Thing: If you think your favorite pair is safe from institutional manipulation, just wait until pre-market moves rob you of your hard-earned cash.
• Losses Are Inevitable: Accepting that it’s okay to lose is half the battle. More often than not, losses will be part of your story. Embrace it!
• Indicators Are Overrated: Many of us have found ourselves stuck in analysis paralysis, pouring over indicators that give us mixed signals. Sometimes, simpler is better.

With this mindset, let’s look at practical trading strategies that can help you navigate the Forex tumult while keeping your cynicism justified—and perhaps even profitable.

Strategy 1: The Anti-Hero Scalping Approach

Scalping is where you realize that short-term price movements can offer a quick buck (or a quick loss). The idea is to enter and exit trades within minutes or seconds. You might hate jumping into a hormonal market with unpredictable price swings, but hey, every little bit adds up!

How It Works:

• Timeframe: Focus on 1-minute to 5-minute charts.
• Indicators: I found the combination of the Exponential Moving Average (EMA) and Relative Strength Index (RSI) to be helpful without being overbearing.

Example Setup:

1. EMA: Set the 9 and 21 EMAs on your chart.
2. RSI: Set overbought and oversold levels at 70 and 30.

Trade Signal: Buy when the 9 EMA crosses above the 21 EMA and the RSI is below 30, signaling potential price reversals. Conversely, sell when the opposite signals occur.

This setup isn’t foolproof, but it helps you catch momentum without getting sucked into the vortex of half-baked long-term decisions. Just remember that you’re playing with fire if you ignore stop-loss orders.

Gotcha: Risk Management

The biggest pitfall in scalping is the knee-jerk reaction. I discovered the hard way that setting a tight stop-loss mitigates the heart-stopping moments when a trade doesn’t go as planned. Scale back position sizes too, especially while you’re still honing your strategy.

Strategy 2: The Longevity Gambit

For those who prefer not to have their heart in their throat every few minutes, a longer-term trading strategy might suit your cynical nature better. This approach accepts that markets will ebb and flow; we’re just here to catch ’em when they swell.

How It Works:

• Timeframe: Focus on daily or weekly charts.
• Indicators: Here, I often use the simple moving average (SMA) and a MACD (Moving Average Convergence Divergence) for trend confirmation and momentum.

Example Setup:

1. SMA: Set your 50-day and 200-day SMAs.
2. MACD: Look for a MACD crossover as confirmation of the trend.

Trade Signal: Enter a buy position when the 50-day crosses above the 200-day SMA, and the MACD also crosses above zero. Close your position when the opposite signs manifest.

The “Why” Behind This Approach

After experimenting with various setups, I’ve realized that longer-term trades can reduce the emotional toll associated with day trading. By embracing patience and cynicism (since who believes in “get rich quick”?), you allow your trades to unfold naturally, increasing your odds of success.

Gotcha: Patience is Hard!

One sneaky truth I learned is that patience is harder than you think. Imagine staring at a chart for weeks, only to find that it’s progressing exactly as you anticipated, but then you freak out and close the position too early. Avoid this by keeping a journal! Review trades, note emotional responses, and learn from them.

Strategy 3: The News Reaction Strategy

Now let’s dive into a strategy that plays on your cynical nature of skepticism—using economic news releases to make your trading decisions. Let’s face it; news drives the market crazy, and sometimes it feels like they should issue a “Fifty Shades of Grey” rating for volatility.

How It Works:

• News Calendar: Familiarize yourself with events that are likely to move currencies, such as non-farm payrolls in the U.S. and central bank announcements from the EU, UK, Japan, etc.

Trade Setup:

1. Identify a key economic indicator release.
2. Wait for the release, and be prepared to either buy or sell based on the outcome—typically, buy the good news and sell on the bad.

The “Why”: Emotional Hedging

The cynic in me loves the uncertainty surrounding economic news. A positive job report might send traders soaring before a steep correction leads to overwhelming negativity. I’ve used this news-jumping strategy to hedge my bets:

• Always have a stop-loss: Crazy events can lead to whiplash.
• Trade smaller positions: Since news can move the market unpredictably, controlling risk should ever be your priority.

Gotcha: Careful What You Wish For

During my news-based trades, I learned the hard truth: sometimes the data may appear to be good, but the market reacts counterintuitively. This divergence can really mess with your mind, so stay alert and be prepared to adjust your strategy accordingly.

Wrapping Up the Cynical Journey of Trading

I’d love to tell you that you can waltz into the Forex market and immediately start raking in cash with these strategies—but the reality is, the markets aren’t that kind. However, my exploration of cynical trading strategies has reigned in some perspective and hopefully softened the blows of losses along the way.

Moving forward, I’m looking to dive deeper into automating these trading strategies, possibly with tools like n8n to orchestrate workflows and notifications based on trading signals or news events. A touch of automation could keep my cynical brain less frazzled while I navigate the chaotic world of Forex.

What have I learned through this journey? That a little cynicism can serve as a protective shield against the overinflated optimism that can plague unsuspecting traders. In other words, while hope may not be a strategy, a solid plan supported by realistic expectations—along with a sprinkle of humor—definitely is!

FAQ

Q: Can I really make money with these strategies?
A: While no strategy is foolproof, applying a combination of risk management and realistic expectations can improve your chances.

Q: What is the most important factor in trading?
A: Risk management is crucial to sustain your trading journey.

Q: Are news releases reliable indicators?
A: They can be volatile and unpredictable, so it’s best to use them cautiously and with a stop-loss in place.

The post Cynical Trading Strategies for the Forex Trader appeared first on That Freaky NewGuy.

Estimated reading time: 8 minutes

• Tokens are the fundamental units of text interpreted by AI models.
• Token pricing varies by model with input and output token costs.
• Strategies exist to optimize token usage and reduce costs effectively.
• Monitoring usage is crucial to managing costs and performance.

Table of Contents

• What Are Tokens?
• Token Pricing Formula
• Why Are Tokens Used for Pricing?
• How to Optimize Token Usage
• Limitations and Trade-offs
• The Bottom Line
• FAQ

What Are Tokens?

At their core, tokens are the fundamental units of text that AI models interpret and generate. Depending on the model’s tokenizer, a token can roughly represent about four characters or three-quarters of a word. For instance, the phrase “Hello world!” might be broken down into 3-4 tokens by a system like OpenAI’s tokenizer, which often divides words into smaller subwords or even single characters. This method of breaking down text is known as tokenization and is essential for how large language models (LLMs) process input effectively.

Why the emphasis on tokens? Here’s the crux: AI providers measure and charge us based on our usage of tokens—specifically, how many input tokens (the text we send to the models) and output tokens (the models’ responses) we employ.

Token Pricing Formula

The pricing structure generally follows this formula:

Total Cost = (Input Tokens × Input Price per Million) + (Output Tokens × Output Price per Million).

It’s noteworthy that output tokens typically cost 3-5 times more than input tokens due to the additional computational demands required to generate responses. The table below illustrates various pricing tiers for some well-known models:

As you can see, the costs vary significantly, and it’s essential to select the right model for your needs, balancing quality and price.

Why Are Tokens Used for Pricing?

The fundamental shift towards token-based pricing is driven by the need for a fair and scalable billing method. Unlike flat subscription fees that can often leave users overpaying for unused resources, token pricing aligns your costs more closely with your actual consumption.

Here are a few benefits of this model:

• Scalability: Whether it’s one-off queries or enterprise-grade applications, you only pay for what you use. This means you can scale your usage in line with demand.
• Fairness: Charges accurately reflect the complexity of the model you choose to use. Premium models, such as GPT-4, command higher prices because they offer enhanced capabilities compared to budget options like GPT-3.5 Turbo.
• Incentives for Volume Discounts: Many providers offer tiered pricing based on usage, where the cost per token decreases with higher consumption levels. For example, the first million tokens may cost $60 per million, dropping to $40 beyond that.

How to Optimize Token Usage

One of the most exciting aspects of token-based billing is the opportunity for users to actively manage their token consumption. By optimizing your prompts and workflow, you can reduce token usage significantly—by as much as 30-70%—and still achieve high-quality results.

Here are some strategies I discovered that might help you reduce your token costs effectively:

1. Shorten Your Prompts

It might seem obvious, but being concise can drastically cut down on token usage. Remove fluff and jargon; it’s often unnecessary. Consider adding a buffer of 30-50% to your token estimates, especially for retries or context. Precision in your prompts pays off!

2. Choose Cheaper Models

Start with cost-effective models like GPT-3.5 or even lighter alternatives, and only upgrade to premium models when you’re sure the added complexity justifies the cost. After experimenting with various models, I often find the less expensive options meet my needs quite sufficiently. Source

3. Leverage Prompt Engineering

Ensure that your instructions to the model are clear and avoid unnecessary repetition. Hidden costs can accumulate from system prompts or verbose tool definitions, adding an additional 20-40% to your token usage.

4. Batch Processing and Caching

This tip took a bit of testing on my part. For applications with repetitive requests or queries, consider caching outputs or batching requests. Caching can yield discounts, particularly if you analyze where your break-even points lie. It saves not only tokens but also processing time.

5. Manage Context Wisely

Token usage can balloon if you don’t monitor your context. Periodically summarize or truncate old data to avoid exceeding the model’s context window. This was a learning curve for me; managing context efficiently can lead to substantial savings and better performance overall. Source

6. Monitor Usage and Estimate Costs

Well, here’s something that surprised me: real costs often end up being 2-4 times higher than your original guesses due to hidden factors. Make full use of provider dashboards to keep track of actual token usage and costs. This way, you can adjust your strategies on the fly. Source

7. Utilize Tokenizer Preview Tools

When working on prompts, test them in your AI provider’s playground tools. This allows you to preview token counts before making any API calls, and you can iterate on your prompts based on that feedback. It was eye-opening to see how different phrases and structures affected token counts. Source

Limitations and Trade-offs

While exploring tokens, I came across a few limitations and trade-offs. For starters, while reducing tokens is great for costs, it also demands you to refine your prompts, which can take time to perfect. Additionally, overly concise prompts can sometimes lead to subpar output; hence it’s a balance.

The Bottom Line

With token-based pricing, we gain a clearer view of our costs based precisely on our usage, promoting a more fair and scalable model, especially as AI technologies progress. While the learning curve is steep at times—I’ve been surprised by how easily token counts can climb—I’ve discovered that with thoughtful design and prompt strategies, we can navigate these waters effectively.

As for what’s next, I’m curious to explore batch processing in-depth and even experiment with automated workflows leveraging these token optimization techniques. There’s so much more to uncover in this rapidly evolving field, and I look forward to sharing my insights with you all!

FAQ

• What are tokens?
• How does token pricing work?
• What are the benefits of token pricing?
• How can I reduce token usage?

The post AI Token Pricing Explained: Insights and Optimization Tips appeared first on That Freaky NewGuy.

Estimated reading time: 8 minutes

• Human Lives at Stake: The trials profoundly affected the lives of innocent individuals accused of witchcraft.
• Public Hysteria: Early accusations were often based on fear and superstition, leading to devastating consequences.
• Unjust Legal Proceedings: The Court of Oyer and Terminer operated under dubious legal principles, making defense nearly impossible.
• Aftermath of Trauma: The victims faced lasting humiliation and loss, and their stories highlight the importance of justice.
• Cautionary Tale: The Salem witch trials serve as a reminder of the perils of mass hysteria and the necessity of critical thinking.

Table of Contents

• The Initial Accusations: A Storm Brews
• Trials and Tribulations: An Unfair Court
• The Weight of Imprisonment and Execution
• The Aftermath: Reflections on Humiliation and Loss
• Lessons Learned and What Lies Ahead

The Initial Accusations: A Storm Brews

It all started with a few girls exhibiting strange behaviors: beatings, convulsions, and ominous proclamations of affliction. In January 1692, Reverend Samuel Parris’s daughter, Betty, and niece, Abigail Williams, made these claims. Their accusations began with Tituba, an enslaved woman who was pressured into confessing to witchcraft and naming others, including Sarah Good and Sarah Osborne, as accomplices. This co-conspiratorial approach simply compounded the growing hysteria in Salem Village (now Danvers, Massachusetts) and set off a chain reaction that would claim many innocent lives.

These early accusations were characterized by a lack of substantial evidence. The magistrates, John Hathorne and Jonathan Corwin, conducted brutal examinations, searching for physical signs of witchcraft, also known as “witch’s teats.” Under circumstances dictated by fear and societal pressure, the accused had little recourse. The result? A public landscape marked by humiliation and betrayal, where even family members could turn against one another amidst the chaos.

Take Martha Cory, for instance. Accused in March 1692 by Ann Putnam Jr., she fiercely protested her innocence. Despite her insistence and the support from those who respected her character, the public spectacle unfurled without much regard for truth in a frenzy of gothic emotion.

Trials and Tribulations: An Unfair Court

The Court of Oyer and Terminer convened in May 1692, with judges including Lt. Gov. William Stoughton. The court operated under a controversial belief in spectral evidence, which, as you can imagine, rendered any defense nearly impossible. Even respected figures fell victim to this illogical legal facade; Rebecca Nurse, known for her piety, was accused as a witch despite her community standing.

Accused persons faced trials that were more akin to performances than a pursuit of justice. Those charged often had to endure public interrogations—with “afflicted” girls convulsing and claiming to be attacked by their spirits. This public hysteria and the media’s portrayal served only to galvanize the accusations.

Bridget Bishop was the first to be convicted and hanged, despite having no prior convictions. The trauma inflicted upon those accused was staggering, not just through executions but through the psychological breakdown of familial ties—friends and family members sometimes found themselves on opposite sides of these accusations.

The Weight of Imprisonment and Execution

As the trials escalated, the conditions in prison were harsh. Established accounts detail how over 200 were imprisoned, with many dying from neglect or malnourishment, including infants who had no capacity to confront the terror surrounding them. The emotional toll of such confinement must have been profound. The sheer helplessness of being incarcerated, often without any recourse to defend oneself, is hard to imagine.

During this dark time, both Giles Corey and John Proctor stood out. Corey was pressed to death—an abhorrent execution method that reflected how relentless the judicial system had become. Proctor wrote desperate letters, detailing the injustices at play and the unreliability of spectral evidence, but ultimately, he too was hanged, a stark reminder of the disregard for life in service of a fear-driven narrative.

The Aftermath: Reflections on Humiliation and Loss

When the dust settled, with the cessation of trials in late 1692, the victims were left to sift through the wreckage of their broken lives. The dissolution of the court by Governor Phips towards the end of the year allowed for some release, but not without deep scars. Many of the accused were released, but not without the cost of reputation and financial ruin.

To make matters more heart-wrenching, families of the convicted experienced ostracism, and even those who survived the trials faced lingering suspicion. Abigail Faulkner, who survived imprisonment, and others like her found themselves burdened by the weight of public perception. The petitions for fairness continued for years, as the accused sought vindication. The resolution began in 1703 when some families received formal apologies.

Lessons Learned and What Lies Ahead

Reflecting on the accusations and trials from the perspective of the victims adds layers to our understanding of the Salem witch trials. They were not merely figures of folklore but human beings caught in a tempest of socio-political tensions and extreme superstition. The very fabric of their lives was torn asunder by a lack of reason and empathy.

What I took away from exploring this narrative is profound: fear can cause communities to turn on one another, leading to devastating consequences. The Salem witch trials serve as a cautionary tale—not just about the perils of mass hysteria, but also about the importance of critical thinking and justice.

Moving forward, I plan to explore more on how historical narratives shape our understanding of justice and human rights today. The trials remind us that the breadth of human experience is often lost in the annals of history, and it’s crucial to broadcast the nuanced realities of those whose voices have been muted. While the Salem witch trials ended long ago, the lessons from that dark chapter remain pertinent as we navigate our path in an ever-evolving society.

Frequently Asked Questions

The post Salem 1692: Standing Accused in America’s Darkest HourSalem 1692Salem 1692: Standing Accused in America’s Darkest Hour appeared first on That Freaky NewGuy.

Estimated Reading Time: 5 minutes

• AI is transforming retail forex trading by augmenting decision-making capabilities.
• Automated tools help mitigate emotional biases and enhance strategy optimization.
• Key applications of AI include signal detection, chart analysis, and strategy backtesting.
• Despite its benefits, overreliance on AI poses risks that traders should consider.
• Understanding one’s trading psychology remains crucial for effectively integrating AI.

Table of Contents

• Understanding the Landscape of Retail Forex Trading
• Key Applications of AI in Retail Forex Trading
• Advantages for Retail Traders
• Challenges and Industry Perspectives
• Final Thoughts
• FAQ

Understanding the Landscape of Retail Forex Trading

Retail forex trading has always been characterized by its volatility and complexity. Studies reveal that many retail traders face staggering loss rates of 70-80%. It’s often said that the biggest risk in trading comes not from the market itself but from the emotional biases traders face—fear, greed, and overtrading. AI tools are stepping in precisely to address these challenges, enabling traders to focus on strategy rather than the emotional rollercoaster trading often presents.

According to a report by Binance, these tools are designed to help mitigate common pitfalls, signaling a significant evolution in how we think about retail forex trading.

Key Applications of AI in Retail Forex Trading

AI is making waves in retail forex trading with several targeted functions that are reshaping our methods:

1. Signal Detection and Monitoring

Complicated chart patterns exist across a plethora of timeframes. AI excels in scanning price data and identifying patterns, including Fibonacci retracements. AI-backed tools provide real-time alerts for buy/sell opportunities, boasting backtest accuracy rates of up to 90%—especially for popular trading pairs like EUR/USD and GBP/JPY.

Imagine a scenario where you receive a timely alert when your favored pair is about to break out. This feature alone could drastically shift your trading outcomes for the better. Platforms such as Inexoos are already experimenting with these functionalities to great effect.

2. Chart and Technical Analysis

AI tools can assist in analyzing and drawing trend lines, pennants, and wedges, significantly improving day trading precision. This technology allows traders to concentrate on crafting strategies more effectively, knowing that their charts are drawn correctly.

Take, for example, a tool like TrendSpider, which utilizes AI to create dynamic, auto-generated charts that highlight critical trading signals without the manual labor usually associated with technical analysis.

3. Emotional Bias Mitigation

AI can help review trading journals, offering insights into emotional deviations from established strategies. For instance, if you notice that “London reversal trades fail 63% of the time” in your trading history, an AI-driven tool can help highlight when you consistently deviate from successful trades due to fear or excitement. This feature can be found in tools like FX Replay, which specifically focuses on journaling to aid traders in self-awareness.

4. Strategy Optimization and Backtesting

Automating what was once a tedious process of backtesting various trading strategies can yield massive efficiencies. Specific AI solutions allow traders to explore different scenarios without needing extensive coding skills. CapTrader provides frameworks where traders can stress-test their ideas and glean insights from vast datasets—including multilingual sources—to optimize their strategies.

5. Automated Execution

AI now powers systems that can autonomously execute preset strategies, thereby eliminating many human weaknesses such as procrastination or overreaction to market movements. For example, solutions from Jenova AI can autonomously execute trades based on predetermined criteria, freeing traders to focus on the bigger picture.

Advantages for Retail Traders

Retail traders stand to benefit significantly from the integration of AI in several ways:

AI’s ability to process massive datasets in seconds allows traders to identify overlooked metrics and patterns, supporting better decision-making without overwhelming them with unnecessary information.

Challenges and Industry Perspectives

Despite all the advantages, attending the iFX EXPO Dubai revealed that there’s more to AI in forex trading than meets the eye. A major concern among traders is the potential for overreliance on these technologies. Risks include misclassification of data inputs and the possibility of amplified losses, particularly with the use of leverage in liquid forex markets.

For many, it became clear that while these tools can provide tremendous value, they do not replace the need for a solid understanding of order flows and market conditions. Real-world trading still requires human oversight, and these AI tools can serve as supports rather than crutches. Finance Magnates reported on how important it is for traders to stay aware of their motivations, using AI as guidance rather than an absolute decision-maker.

Final Thoughts

As we stand in 2026, the landscape of retail forex trading is undeniably shifting. By integrating AI into daily trading practices, we can expect a significant change where the focus moves away from mere speculation towards structured execution. However, maturity and discipline will be critical as traders learn to integrate these technologies into their strategies.

While testing some of these AI-driven applications, I discovered that the key to leveraging AI in trading lies in understanding your trading psychology and combining AI insights with your personal trading expertise. I’m looking forward to exploring how AI can enhance complicated predictive modeling next and further refine my strategies with machine learning frameworks. It’s a brave new world, and I can’t wait to see where it takes us!

FAQ

What is AI in retail forex trading?

AI in retail forex trading encompasses software tools that improve decision-making, automate processes, and analyze vast amounts of data in real-time to enhance trading strategies.

How does AI help reduce emotional bias in trading?

AI helps reduce emotional bias by analyzing trading behavior, identifying deviations from successful strategies, and providing insights that guide traders in making objective decisions.

What are the risks of overreliance on AI in trading?

Risks include misclassification of data input, potential for amplified losses, and the danger of traders becoming complacent or neglecting their understanding of market dynamics.

Can AI replace human traders?

While AI can enhance trading efficiency and effectiveness, it is not a replacement for human traders. Understanding the market and making nuanced decisions still requires human insight and psychology.

What tools are commonly used in AI-based trading?

Common tools include Inexoos, FX Replay, Jenova AI, and CapTrader.

The post Using AI In Retail Forex Trading Today appeared first on That Freaky NewGuy.

Question 1. Consider the following statement:

“Understanding intelligence analytical processes and approaches will make little difference in the future, as manufactured intelligence tools and artificial intelligence will make the informed analyst largely irrelevant.”

Do you agree with this statement? Why/Why not?

Response:

An understanding of intelligence and analytical processes is considered a fundamental skill of any intelligence analyst. Indeed, one definition of intelligence is information that has been subjected to the intelligence cycle (Lowenthal, 2016, p. 1). The introduction of manufactured intelligence tools and artificial intelligence (AI) will automate some of the steps of the process however they will not replace the requirement for an informed analyst who can then use their skills to interpret the output of these tools. This answer will provide a definition of the intelligence cycle and the place of analytical process within it. It will then examine the role of manufactured intelligence tools concentrating of Open Source Intelligence (OSINT) as an example.

The intelligence process or cycle consists of five steps Planning, Collection, Processing, Analysis / Production and Dissemination (Johnson, 2007, p. 366). This is a simplified view as in reality many of the steps have feedback loops however we can use this as a framework (Johnson, 1986, p. 1).  It is at the Analysis step that different analytical approaches are used. Diagnostic techniques such as a Key Assumptions Check are used to identify assumptions or intelligence gaps.  Contrarian techniques such as Devils Advocacy challenge current thinking and Imaginative Thinking such as Brainstorming can be used to find new insights and develop different perspectives (United States, Gov., 2009, p. 9).

Manufactured intelligence tools and AI are used primarily in the collection and collation phases of the intelligence cycle most notably in handling of Open Source Intelligence (OSINT) (Hagen, 2013, p. 3). OSINT is generally unclassified information or information that is otherwise available to the public. While OSINT is not limited to electronic sources it is against these sources and the massive amount of data they produce that manufactured intelligence tools can be deployed with greatest effect. Tools such as Artificial Neural Networks and can be used to mine the data and flag relevant markers for further investigation (Carroll, 2005, pp. 2-3).

While automated tools are increasingly able to identify suspect patterns what may indicate criminal, terrorist or espionage activity an analyst is still required to put these signals into context. In order to provide context an analyst needs to have some knowledge of the social and cultural background of the information they are working with. They need to understand how people think, their world view their goals and objectives (Hall & Citrenbaum, 2009, p. 1). They are also required to disseminate this information in a form that is useful and relevant to the customer. It is at these phases of the intelligence cycle that manufactured tools or AI are not able to replace a trained analyst as they are non-rule based decisions.

With the advent of the world wide web, social medial and other modern sources of intelligence it is only natural for tools to be developed that will assist making sense of the massive amount of data created, to find the intelligence needle in a massive haystack. However, the product of these tools will still require the input of an informed analyst who can provide context.

References

arroll, J. M., 2005. OSINT Analysis Using Adaptive Resonance Theory For Counterterrorism Warnings.. Artificial Intelligence and Applications, pp. 756 – 760.

Hagen, L., 2013. Methods And Tools For Automated Data Collection And Collation of Open Source Information, Ottawa: Defence R&D Canada – CORA.

Hall, W. M. & Citrenbaum, G., 2009. Intelligence Analysis: How To Think in Complex Environments. Santa Barbara: ABC-CLIO.

Johnson, L. K., 1986. Making The Intelligence “Cycle” Work. International Journal of Intelligence and Counter Intelligence, 1(4), pp. 1 – 23.

Johnson, L. K. ed., 2007. Handbook Of Intelligence Studies. New York: Routledge.

Lowenthal, M. M., 2016. Intelligence: From Secrets To Policy. Washington DC: CQ press.

United States, Gov., 2009. A Tradecraft Primer: Structured Analytic Techniques For Improving Intelligence Analysis. :CIA Center For The Study Of Intelligence.

Question 2 (10 marks, 500 words +/- 10%)

Consider the following statement:

“By far, the most important thing to happen to intelligence since the beginning of the Cold War is technological advancement.”

Is this claim accurate? Why or why not?

Response:

While this claim is accurate in that technological advances have been important to the intelligence field my answer will show that an over reliance on technology can be detrimental to intelligence operations.

The Cold War was an extended period of tension and competition between the United States and the Soviet Union. Beginning at the end of World War Two until the end of the 1980’s trillions of dollars were spent by both sides to develop weapons and spy on their enemies. The advances in technology brought about by this expenditure initiated significant change in the way intelligence is collected with a move toward technological methods, particularly by western agencies. This reliance on technology however has also resulted in intelligence failures due to an absence of Human Intelligence (HUMINT).

HUMINT is intelligence gathered through “traditional” espionage usually involving sending clandestine operatives to target countries in order to recruit spies of collect information. These operatives can have diplomatic cover which provides them some protection if they are discovered. Another type of HUMINT resource is the –non-official, they may operate as businessmen or some other cover but run more of a risk as they will not be recognised as diplomats should they be discovered (Margolis, 2013, p. 45).

Signals Intelligence (SIGINT) which includes communications, electronic and telemetry intelligence is the interception of electronic communications (Turner, 2006, p. 183). Geospatial intelligence (GEOINT), also called imagery intelligence is information derived from images from satellites, aircraft or radar regarding any object that can be observed on the earth and has security implications (Lowenthal, 2016, p. 88). It is these latter two disciplines that benefited most from the technological advance of the cold war.

As a result of the technological advances during and since the Cold War western intelligence agencies, particularly the United States have focused on technical methods of gathering intelligence while neglecting traditional human espionage. This lack of HUMINT deprives analysts of clarity regarding intensions and capabilities. It also leaves the door open to counterintelligence operations (Turner, 2006, p. 50).

Some examples of intelligence operations that highlight the importance of HUMINT include Operation Gold, a wiretapping operation in East Berlin. Probably exposed by British mole George Blake it’s possible the Soviets were feeding the West false information from the very beginning (Margolis, 2013, p. 51). The Cuban Missile Crisis starts as a classic example of technology driven intelligence when U-S spy planes showed that missiles had been deployed by the Soviets. However, it was HUMINT provided by Soviet colonel Oleg Penkovsky regarding the missiles assembly time that gave Kennedy the confidence to seek a diplomatic solution (Margolis, 2013, p. 52). 

One of the most important developments in intelligence collection has been the development of unmanned aerial vehicles (UAE’s) or drones. UAVs can be equipped to collect the entire cross section of electronic intelligence at relatively low cost and risk. (Jameson, 2007). UAE’s can also be used for “signature strikes” striking a target because the activity taking place appears to be terrorist related. Without HUMINT confirmation these strikes can risk hitting innocents with all of the resulting political fallout.

This response has explored the technological advances since the Cold War started and conclude that while they have been most important to the intelligence field they should not be used on their own. Overlooking HUMINT can be detrimental even in this day and age.

References

Jameson, H., 2007. Drones Between Satellite And Earth. (Drone satcom). [Online]
Available at: https://www.highbeam.com/doc/1G1-173229598.html
[Accessed 10 June 2017].

Lowenthal, M. M., 2016. Intelligence: From Secrets To Policy. Washington DC: CQ press.

Margolis, G., 2013. The Lack Of HUMINT: A Recurring Intelligence Problem. Global Security Studies, 4(2), pp. 46-60.

Turner, M. A., 2006. Historical Dictionary of United States Intelligence. Lanham: The Scarecrow Press, Inc..

Question 3 (10 marks, 500 words +/- 10%)

Consider the following statement:

“The priority that the Australian Intelligence Community places on combating terrorism is not justified.”

Do you agree with this statement? Why/Why not?

Response:

Terrorism has been Australia’s top national security concern for several years. Considered a real and evolving risk Australian intelligence agencies have had their capabilities expanded and new legislation has been enacted to meet this threat (Ferguson, 2014).  This answer will show that given the persistence that terrorist groups have demonstrated, their ability to continually recruit despite setbacks on the battlefield and adapt to changing conditions that this prioritisation is justified.

The terrorist threat to Australia is rising and becoming harder to combat. The symptoms of this can be observed in the increasing number of Australians joining overseas extremist groups and the global trend toward low tech attacks unusually carried out by loan actors recruited over the internet. These attacks are particularly hard to combat as there can be few signs of planning and only a short time between a perpetrator forming an intent and carrying out their actions (Commonwealth of Australia, 2015, p. 4).  

The main source of the terrorist threat to Australia comes from people who follow a militant interpretation of Islam, calling for violence in response to grievances perceived or real. This narrative postulates that western powers led by the USA are systemically exploiting and repressing Muslims and that governments in Muslim majority countries are corrupt or un-Islamic. The solution is to remove western influence and establish a “true Islamic” system of government. In order to do this, it is the religious duty of all true Muslims to attack the enemies of Islam anywhere in the world (Commonwealth of Australia, 2010, p. 16).

The international situation, with the rise of ISIL and the civil war in Syria are further reinforcing these extremist narratives and groups are now expert at using social media the publish glossy propaganda material which is increasingly appealing to the Australian community. Groups such as Jabhat al-Nusra post videos of fighters rescuing civilians from Assad regime snipers, implying a life of heroism and adventure appealing to young viewers who may be looking of a direction in life (Commonwealth of Australia, 2015, p. 34).

A further threat can be seen in the number of Australians traveling to the Middle East to train with or join Jihadist groups in Syria and Iraq. These fighters will quite possibly pose a threat once they returned home with dangerous skills and violent ideology Europe has already seen multiple attacks carried out by returning foreign fighters. In 2014 a fighter who had trained in Syria killed four people at the Jewish museum in Belgium and at least one of the Charlie Hebdo attackers had trained with al-Qaeda’s affiliate in Yemen (Zammit, 2015, p. 4).

This answer has explored several reasons that the terrorist threat in Australia deserves the high priority it has been given. These reasons include the resilience of the groups involved, their ability to adapt tactics their improved propaganda and the continuing threat of violence carried out by returning overseas fighters.

References

Commonwealth of Australia, 2010. Counter Terrorism White-Paper Securing Australia | Protecting our Community 2010. [Online]
Available at: https://www.dst.defence.gov.au/sites/default/files/basic_pages/documents/counter-terrorism-white-paper.pdf
[Accessed 09 June 2017].

Commonwealth of Australia, 2015. Review or Australia’s Counter-Terrorism Machinery. [Online]
Available at: https://www.pmc.gov.au/sites/default/files/publications/190215_CT_Review_0.pdf
[Accessed 11 June 2017].

Ferguson, S., 2014. Homegrown Terrorism Australia’s Main National Security Concern Says Julie Bishop. [Online]
Available at: http://www.abc.net.au/7.30/content/2014/s4061539.htm
[Accessed 09 June 2017].

Zammit, A., 2015. Australian Foreign Fighters: Risks and Responses. [Online]
Available at: https://www.lowyinstitute.org/sites/default/files/australian-foreign-fighters-risks-and-responses.pdf
[Accessed 07 June 2017].

The post PICX210 – Intelligence and Counter Intelligence – Final Exam appeared first on That Freaky NewGuy.

The idea that any organisation can be error free sounds like a pipe dream when first considered. The kneejerk responses referring to Murphy’s Law and the Titanic being declared unsinkable usually come up in any ensuing conversation. However, there are some organisations that deal with high risk situations or products where any errors could have catastrophic consequences that have, on examination, had remarkably few accidents. This paper examines these highly reliable organisations and the possibility of attaining the ultimate goal of error free operations. We will look briefly at the various theories pertaining to High-Reliability Organisations (HROs) and examine their common characteristics. We will then critically investigate the question that HROs can ever truly be error free. We conclude that there is no possible way for error-free organizations to exist, due to individuals and organizations’ inherent fallibility. However, it is important to keep in mind that HRO theory provides a framework in which errors can be anticipated and damage contained so that these organizations are safer and more resilient.

There are two dominant schools of thought that try to explain what causes accidents in complex, high-risk organizations: Normal Accident Theory (NAT) and High Reliability Organisation Theory (HROT) (Lekka 2011). More recently the concept of Resilience Engineering (RE) has also become popular with safety scientists (Hopkins 2014). However there is a lot of overlap between the concepts put forward by RE and the principals of HROT (Lekka 2011) so much so that, as (Le Coze and Dupre 2006) and others have done, this paper will deal with both concepts as more or less interchangeable.

According to Perrow’s theory of normal accidents, accidents are inevitable in complex organisations that operate high-risk technologies. In particular, Perrow contends that there are several major characteristics which make accidents in complex high-risk organisations practically inevitable (Perrow 1984). These features include tight coupling and interactive complexity. Tight coupling refers to the amount of interdependence between a system’s components such as people, equipment and processes Interactive complexity refers to the extent to which the interactions among the system’s components are unexpected and invisible. For instance, a system is considered tightly coupled where one process follows rapidly or invariably from another, these are generally highly automated systems with little or no chance for human intervention (Hopkins 1999). Because these tasks or processes are often interdependent, a failure that occurs in one part of the system has the potential to quickly cascade to other parts of the system. The presence of these characteristics means that there is insufficient time and knowledge (due to the system’s complexity) to fully understand and intervene in potential failures (Perrow 1984). Perrow suggests that where systems are tightly coupled, complex and in a high risk organisation accidents are inevitable (Hopkins 1999).  Perrow went on to classify systems such as nuclear weapons and aircraft into high-risk categories. On the other hand, manufacturing plants such as oil refineries and chemical plants were classified as lower-risk categories (Lekka 2011).

HROT has gained popularity in academia and the “real world” having been used in the investigation of the Columbia space shuttle explosion and the Buncefield Incident in the UK among many others (Hopkins 2014). Some of its concepts have also bee incorporated into other frameworks such as the ITIL Service Management framework. Early HRO research focused on an originations ability to maintain an error free record over long periods of time (Roberts 1990) however the field of study has evolved and now looks more closely at how HROs manage their risks through organisational control of hazards and probability (Rochlin 1993). (Weick and Sutcliffe 2001) describe a model by which HROs manage their risks through five processes, these include preoccupation with failure, sensitivity to operations, commitment to resilience and deference to expertise (particularly in a crisis).

The concepts behind the HRO perspective and the principals of resilience engineering overlap extensively (Lekka 2011). Resilience engineering has been applied across several industries, including the aviation, petrochemical, and nuclear industries. (Nemeth and Cook 2007) define resilience is as ‘the ability of systems to survive and return to normal operations after encountering a challenge’. Wreathall includes in his definition of resilience an organization’s ability to maintain a safe mode of operation and resume normal operations after an incident occurs (Lekka 2011). Thus, an organization’s ability to restore operations to normalcy is an essential trait of resilience.

The question of whether HROs can ever be error free needs to be examined with the above theories / frameworks in mind. Each of these theories has their own drawbacks when applied to real world situations. If one were to only apply NAT to the question the answer would be an automatic “no” as the theory states that errors/ accidents are unavoidable.

NAT as put forward by Perrow states that a system tightly coupled and complex enough will inevitably experience an accident, this will happen regardless of how well the system is managed (Perrow 2011).  The problem with this is that is fails to take into account that many systems are in fact badly managed. Perrow himself states that most of the major accidents of the past decade or so have resulted from such mundane reasons as poor maintenance, cost pressures, negligence or incompetence (Perrow 1994). Perrow uses the Three Mile Island nuclear reactor as his model for a complex tightly coupled system and the reactors near meltdown is his example of a natural accident (Perrow 1984). However, Hopkins points out that there were in fact several incidents before the accident which could have served as barriers as described in James Reasons Swiss Cheese Model (Reason 1997), proper reporting and action taken at any of these points would have prevented the accident (Hopkins 2001) thus its was not inevitable at all. NAT has been further criticised as being too limited in the its definitions of complexity and tight coupling as well as the narrow scope of organisations it applies to (Lekka 2011) furthermore while trying to explain causes of accidents it does little to suggest how these types of accidents can be prevented (Hopkins 1999)

Given the shortcomings of the theory we cannot answer our question reliably using NAT as a framework. The narrow scope, focus on causation and pronouncements of inevitability render it an inadequate tool for our purpose.

Looking at the question through the lens of HROT and RE provides a different perspective that is focused on understanding the conditions whereby complex systems do not fail and is informed by research in technologically complex organisations that are able to sustain high levels of safety performance. HRO researchers argue that accidents are not inevitable because processes can be put in place that can significantly lower the probability of and contain catastrophic errors (La Porte and Consolini 1998). HROT argues that organisations can improve their reliability and resilience by engineering a positive safety culture that embraces inquiry, bottom up communications, fault reporting, a just culture and management commitment to safety. Significantly HROT and RE perspectives acknowledge that failures will occur and instead have a focus on learning from incidents and “near misses” in order to improve processes. In this way accidents can either be avoided completely by early intervention at a lower level of the Swiss Cheese model or the effects can be contained to less than disastrous levels (Weick, Sutcliffe and Obstfeld 1999).

The HROT / RE lens is more realistic and useful to real world situations in that it recognises that organisations are dynamic in nature, that failures can occur that are not catastrophic and offers a framework to reduce the risk of accidents. In using HROT to in relation to our question the answer would have to be “No, but…”. HROT does not profess to make organisations error free. Instead it provides a framework whereby potential failures can be anticipated, contained and recovered from in a timely manner. It should be noted that the HRO model is an ideal that (Weick and Sutcliffe 2001) admit no real organisation could completely live up to due to social, environmental or political implications (Weick, Sutcliffe and Obstfeld 1999).

Our analysis of NAT and HROT in relation to producing error free organisations has shown that NAT is an unsuitable model as it automatically assumes that disasters are inevitable in complex organisations and provides no guidance as to preventing them. HROT and RE similarly assume that error will occur but also provides a theoretical framework that organisations can try to implement that will help anticipate and more importantly contain the effects of errors to a less than catastrophic level. While it is acknowledged that no organisation could completely live up to the HROT /RE models, even partial implementation is better than nothing in a world where anything that can go wrong, will go wrong.

References

Hopkins, A. 2014. “Issues In Safety Science.” Safety Science 67: 6-14.

Hopkins, A. 1999. “The Limits Of Normal Accident Theory.” Safety Science 32: 93-102.

Hopkins, A. 2001. “Was Three Mile Island A ‘Normal Accident’?” Journal of Contingencies And Crisis Management 9 (2): 65-72.

La Porte, T, and P Consolini. 1998. “Theoretical and Operational Challenges of ‘High Reliability Organisations’: Air Traffic Control and Aircraft Carriers.” nternational Journal of Public 21 (6-8): 847-852.

Le Coze, Jean-Christophe, and Michele Dupre. 2006. “How to Prevent a Normal Accident in a High Reliable Organisation ? The Art of Resilience, a Case Study In The Chemical Industry.” Resilience engineering. Juan-les-Pins, France. 181-190. Accessed 10 13, 2022. https://hal-ineris.archives-ouvertes.fr/ineris-00973243.

Lekka, Chrysanti. 2011. High Reliability Organisations: A Review Of The Literature. Health and Safety Executive, 1-34.

Muhren, Wilem J, Gerd Van Den Eede, and Bartel Van de Walle. 2007. “Organizational Learning for the Incident Management Process: Lessons from High Reliability Organizations.” ECIS 2007 Proceedings. 65. Accessed 10 20, 2002. https://aisel.aisnet.org/ecis2007/65/

Nemeth, C, and R Cook. 2007. “Reliability Versus Resilience: What Does Healthcare Need?” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51 (11): 621-625.

Pedram, Shiva , Pascal Perez, and Bruce Dowsett. 2013. “Assessing The Impact Of Virtual Reality-Based Training On Health And Safety Issues In The Mining Industry.”

Perrow, C. 1984. Normal accidents: Living With High-Risk Technologies. New York: Basic Books.

Perrow, C. 1994. “The Limits Of Safety: The Enhancement Of A Theory Of Accidents.” Journal of Contingencies And Crisis Management 2 (4): 212-220.

Perrow, C. 2011. The Next Catastrophe: Reducing Our Vulnerabilities To Natural, Industrial And Terrorist Disasters. Princeton, New Jersey: Princeton University Press.

Reason, J. 1997. Managing The Risks of Organizational Accidents. Aldershot: Ashgate. Accessed 10 12, 2002.

Roberts, K. 1990. “Some Characteristics Of One Type Of High Reliability Organisation.” Organization Science 5 (2): 160-176.

Rochlin, Gene I. 1993. “Defining “High Reliability” Organizations In Practice: A Taxonomic Prologue.” New challenges To Understanding Organizations 11: 32.

Weick, K E, K M Sutcliffe, and D Obstfeld. 1999. “Organizing For High Reliability: Processes of Collective Mindfulness.” Research in Organizational Behavior 1: 81-124.

Weick, Karl E, and Kathleen M Sutcliffe. 2001. “Managing the Unexpected: Assuring High Performance in an Age of Complexity.” JosseyBass, a John Wiley & Sons Inc. Company.

The post PCIX2013 – Can High-Reliability Organisations Ever Be Error Free? – Crisis Management and Disaster Relief – Final Essay appeared first on That Freaky NewGuy.

With what could be the dawn of a new era in digital privacy, the once-thriving scam industry has fallen silent, leaving thousands of fraudsters scrambling to adapt to a world where their prime target, 34-year-old Kevin “The Mark” Johnson, is now shielded from their schemes.

“It’s a disaster,” lamented a spokesperson for the International Coalition of Scammers (ICS). “We’ve thrown everything at him—Nigerian princes, fake tech support calls, and even that really convincing email about a lost lottery ticket. But now, with his shiny new VPN, Kevin has effectively become untouchable.”

Reports indicate that Johnson’s decision to install the VPN came after weeks of relentless phishing attempts, including a particularly brazen scam that offered him a free iPhone in exchange for his social security number. “I just thought it was time to take my online security seriously,” Johnson said, blissfully unaware of the pandemonium he had unleashed among the criminal underworld.

Scammers worldwide have reacted with disbelief, some even considering transitioning to legitimate employment. “I’ve been in this game for over a decade,” said a former scammer who now plans to open a coffee shop. “But if I can’t convince one gullible person to send me their life savings, what’s the point?”

@ Scott Ransom 2025

The post Scammers Face Devastating Blow as Worlds Last Potential Victim Installs VPN, Operations Grind to Halt appeared first on That Freaky NewGuy.

In 2009 the Australian government published its Defence White Paper stating that for many decades Australia and the Asia Pacific region had been enjoying an era of stability and peace largely as a result of the strategic primacy of the United States. Ominously it goes on to say that the rise of China is shrinking the power gap between the US and China and is a threat to US primacy. It goes on to say that as the US is increasingly tested there is a ‘concerning possibility of growing confrontation” between the powers (Australian Government 2009, p. 49). This thinking gave rise to papers such as John Mearsheimers The Gathering Storm: China’s Challenge to US Power in Asia (Mearsheimer 2010) that warn of impending great power conflict in the region and inspired Graham Allison to write first an essay and then book that coin the phrase Thucydide’s Trap to describe the conflict caused by a rising power disrupting the status quo (Allison 2015), (Allison 2017).

Thucydide’s Trap refers to the ancient Greek historian (and general) best known for his work Histories of the Peloponnesian War. Allison uses the quote “It was the rise of Athens and the fear that this instilled in Sparta that made war inevitable.” And it is through this lens that Allison focuses on U.S.-China relations portraying China as the ambitious rising power and the U.S. as the hegemon unwilling to give up its position. His conclusion is that direct conflict between the U.S. and China is all but inevitable without major efforts toward peace by both sides.

This paper examines two debates around the concept of Thucydides’ Trap. Firstly, we look at whether the theory is an accurate depiction of the cause of conflict. Wars start for many reasons does the Trap theory provide a broad enough perspective for reasonable analysis? Secondly we examine if Allison’s analogy between the Athens – Sparta conflict and U.S.-China relations is an historically apt one. Are the power dynamics as similar as made out or could other forces be a play that need to be included in any analysis?

Our conclusion is that while the Thucydides trap metaphor is a generally useful device to focus attention on the U.S.-China situation a general sense. It is not terribly historically accurate and analysts should beware of its simplistic approaches to a complex topic.

Is Thucydidies’ Trap Too Simple?

The popular description of the Trap is quite simple. Basically a metaphor for power transition theory it focuses on a single factor, the overtaking of a hegemon by a rising power, to explain interstate war in this case the Peloponnesian War.  However, as Chan points out the historical analogy comparing the U.S. to the authoritarian state of Sparta and China to democratic Athens is somewhat ironic and the claim that war becomes “inevitable” as the rising power catches up to the dominant power is a rainbow connection that ignores some 2500 years of developments such as the modern state system, nuclear weapons and nationalism. He goes on to claim that the nature of American democracy would preclude them from launching a preventative war against China (Chan 2019, pp. 12-13).

Continuing to examine the causes of conflict through the Peloponnesian lens Jaffe tells us that the causes of the war were not solely due to an external structural necessity but include the intricate cultural and psychological responses unique to the belligerents (Jaffe 2017) and Chan goes on to speculate that factors such as armament races, economic characteristics, alliances and leader’s personalities also play a role (Chan 2019, p. 15).

Allison does address some of these issues in Destined for War however the use of the “Rise of Athens” line to define Thucydides’ Trap has in some cases led to an overly simplistic view of IR and can lead to analysts falling into the trap of attributing monocausal explanations to what is usually a complex situation.

Different Power Dynamics

Thucydides describes the Athenian rise to power in the first book of History (Collingwood 1830).  After the Persian Wars Athens exploited a maritime alliance to exert control over its allies, demanded tribute and violently suppressed any defection or decent. It embarked in a campaign to coerce other Greek city-states to join its “alliance” the Delian League. These activities began to encroach on Sparta’s sphere of influence provoking the Spartans to declare war. This description of the conflicts origins is at odds with the current U.S.-China relationship. Frideberg argues that while China does seek some form of regional hegemony it does not pursue conquest over its neighbours (Friedberg 2011, p. 157).  (Lee 2019, p. 76) tells us that despite concerns regarding the build-up of influence from the One Belt One Road program it would be an exaggeration to claim that China was aiming to reduce other countries to imperial vassals. While the situation could change the evidence so far indicates that the U.S is facing a very different strategic challenge than what Sparta faced so long ago.

Of further concern regarding the power dynamics in play are the differences in how war is perceived by the belligerents. Eckstein tells us that war in ancient Greece was common and considered a legitimate, normal course of action. Society today approaches war with far greater caution with greater regard to its costs in life and wealth. Unbridled aggression is not considered a legitimate method of resolving disputes (Eckstein 2017).

While these differences in power dynamics do not preclude the possibility of war they cast some doubt on the all-encompassing nature of the Thucydides Trap theory and its use of the Peloponnesian War as a metaphor for the current U.S.-China situation. 

Conclusion

Allisons use of the Thucydides’ Trap metaphor to draw attention to the potential for Chinas rise to lead to great power conflict provides a valuable lens through which to observe the current U.S.-China relationship. One needs to keep in mind however that while the comparison may be relevant in a general sense, a deeper and more encompassing analysis is required to get a true picture of the situation.

More from Security Studies

References

Allison, G., 2015. The Thucydides Trap: Are The US And China Headed For War?.. The Atlantic, 24(9).

Allison, G. T., 2017. Destined for war : Can America And China Escape Thucydides’s trap?. Boston: Houghton Mifflin Harcourt.

Australian Government, 2009. Defending Australia in the Asia Pacific Century: Force 2030. [Online]
Available at: http://www.defence.gov.au/whitepaper/docs/defence_white_paper_2009.pdf
[Accessed 3 July 2021].

Chan, S., 2019. More Than One Trap: Problematic Interpretations And Overlooked Lessons From Thucydides. Journal of Chinese Political Science, Volume 24, pp. 11-24.

‘BOOK I: CHAPTER IV: From the end of the Persian to the beginning of the Peloponnesian War – The Progress from Supremacy to Empire’ (1830) in History of the Peloponnesian War. S. Collingwood, pp. 30–38. Available at: https://search-ebscohost-com.simsrad.net.ocs.mq.edu.au/login.aspx?direct=true&db=lfh&AN=34346743&site=ehost-live (Accessed: 1 May 2022).

Eckstein, A. M., 2017. Thucydides, International Law and International Anarchy. In: R. K. Balot, S. Forsdyke & E. Foster, eds. The Oxford Handbook of Thucydides. New York, NY.: Oxford University Press.

Friedberg, A., 2011. A Contest For Supremacy: China, America, And The Struggle For Mastery In Asia. New York: Norton.

Jaffe, S. N., 2017. Thucydides On The outbreak Of War: Character And Conflict. Oxford: Oxford University Press.

Lee, J., 2019. Did Thucydides Believe in Thucydides’ Trap? The History of the Peloponnesian War and Its Relevance to U.S.-China Relations. Journal of Chinese Political Science, Volume 24, pp. 67-86.

Mearsheimer, J. J., 2010. The Gathering Storm: China’s Challenge to US Power in Asia. The Chinese Journal of International Politics, Volume 3, pp. 381-396.

The post An Examination of the Thucydides’  Trap Metaphor As Used by Graham Allison in “Destined For War” appeared first on That Freaky NewGuy.

The Relevance of Traditional Concepts of Maritime Strategy in the Twenty-First Century

The nature of maritime warfare is in a near constant state of evolution and has most recently been reshaped by technological developments, globalization, and the rise of non-state actors. This paper examines the resulting debates regarding the continued relevance of “traditional” concepts of maritime strategy, particularly those established by figures such as Alfred Thayer Mahan and Sir Julian Corbett. These traditional ideas were produced in the late 19^th and early 20^th centuries as an answer to state-centric conflict and large-scale naval battles. However they now seem to be disconnected from the realities of contemporary conflicts which increasingly involves modern elements such as insurgencies and cyber warfare.

This paper argues that even with these recent changes, the core principles of maritime strategy, sea control, power projection, and the protection of maritime trade, remain relevant. This paper will explore the relevance of traditional maritime strategy by examining its foundational principles, the impact of modern technological and geopolitical shifts, and how navies have adapted to new forms of conflict.

Alfred Mahan’s seminal work on “sea power” was first published in 1890 (Mehan, 2011). His theories emphasized the critical role of naval superiority which would enable a nation to dominate international trade routes and leverage this control to dominate global politics (Speller, 2022). Sir Julian Corbett published his theories is 1911 (Corbett, 2008). His theories highlight the importance of cooperation between naval and land forces and the strategic use of maritime power as a subset of national strategy. This emphasis on broader strategic objectives that recognises the limitations of naval power offers a contrast to Mahan’s focus of decisive battles (Strachan, 2013). These theories have shaped naval thinking for over a century however are they still applicable in today’s geopolitical context?

Command of the sea is the first topic to be discussed in every naval strategy debate. Command of the sea “is one of those ringing phrases that dominates the imagination but confuses the intellect,” according to naval historian Geoffrey Till (Till, 2013). while Mahan is often given credit for the concept, practically every prominent naval scholar has written on it. The objective of sea power and the establishment of sea command, according to Mahan, is “the possession of that overbearing power on the sea which drives the enemy’s flag from it or allows it to appear only as a fugitive.” (Mehan, 2011). He provides historical examples of how certain nations have achieved the command of the sea, demonstrating that complete command is hardly ever achievable. Corbett also argued as early as 1911 that it was the use of the sea rather than its possession that was important (Corbett, 2008).  So, the idea of command of the sea needs to be viewed theoretically, like Clausewitz’s analogies between the idealized and theoretical forms of warfare and the realities of war (Armstrong, 2015). This inability to achieve command has led to the development of the notions of “sea control” and its counterpart, “sea denial” as more practical strategic goals.

Sea denial describes a situation where a naval force effectively stops an enemy from using a particular region for its own objectives. While the denying force may not necessarily have complete control over the region, this tactic focuses on restricting the enemy’s freedom of movement in the marine domain, which reduces their operational effectiveness (Miller, 2006).
Sea control refers to the ability of a naval force to exercise freedom of action in a maritime area, allowing it to use the sea for its purposes while denying its use to adversaries. Sea control is important as it enables power projection, littoral operations and maintaining a presence which is required for influencing events on land and shaping the operating environment.

In regions such as the South China Sea, control over key maritime areas is still critical for projecting power and securing national interests. The rise of China as a naval power, as demonstrated by China’s militarization of artificial islands (Seidel, 2024) and its claims over the South China Sea (Speller, 2022), has led to renewed interest on these concepts. Similarly, Russia’s renewed assertiveness along its maritime frontiers highlights the importance of denying adversaries access to strategic waters, especially in the context of great power competition (Speller, 2022). While the principles of control and denial remain relevant, the methods employed to achieve them have evolved, influenced by modern technologies such as drones, and cyber capabilities.

Modern insurgencies and the increasing role of non-state actors in global conflicts are another new challenge to traditional maritime strategy. Insurgent groups often operate in coastal areas or use maritime routes for smuggling and logistics. Groups, such as the Liberation Tigers of Tamil Eelam (LTTE), Hezbollah, and Houthi rebels, have demonstrated relatively sophisticated sea denial tactics, including successful attacks on large maritime targets. These groups have used asymmetric tactics to disrupt state naval operations, using missile attacks, small boat raids, and mines (Speller, 2022) as a means of controlling the sea lanes adjacent to their territory, keeping them free of hostile vessels (Asal et al., 2022). By attacking state vessels in their declared “territory” and “policing” access of foreign or non-belligerent vessels an insurgent group can progress a claim to sovereignty and demonstrate its resolve and strength to the internatio9nal community (Kydd and Walter, 2006).

The rise of modern insurgent groups has led many to question whether sea control and power projection are still effective in dealing with such threats. While navies remain critical for securing sea lanes and deterring state adversaries, they must now contend with the threat of “hybrid attacks,” which operate in the grey area between war and peace. Their role in combating non-state actors and insurgencies requires new approaches, such as closer cooperation with coast guards and other maritime agencies and an increasing focus on protecting sea lines of communication, ensuring freedom of navigation in contested waters and focusing on strategic choke points (Miller, 2006).

 The technological innovations of the twenty-first century have significantly altered the landscape of naval warfare. The development of unmanned systems, including drones and autonomous submarines, has expanded the capabilities of modern navies, allowing them to project power more effectively while reducing the risks to personnel, additionally, advances in cyber warfare have introduced new threats to maritime security, as naval forces must now contend with cyberattacks that target critical infrastructure, such as satellite communications and navigation systems.

Artificial intelligence (AI) is one of the most interesting new developments for maritime warfare. The Fourth Industrial Revolution (4IR) relies heavily on artificial intelligence. According to (Schwab, 2017) the 4IR is defined by the use of cutting-edge technologies, including artificial intelligence (AI), robotics, the Internet of Things (IoT), and advanced materials, to develop new systems and procedures that are more intelligent, efficient, and connected. Artificial Intelligence (AI) is the creation of computer systems that are capable of learning, solving problems, and making decisions—tasks that typically require human intelligence. Numerous 4IR technologies, like advanced robots and driverless cars, depend on artificial intelligence.

One of the most notable technologies enabled by 4IR are unmanned systems. Unmanned systems are held up as the future of naval warfare (Clark and Walton, 2019). The US Department of Defence, for instance, predicts that autonomous and semi-autonomous unmanned systems will be able to detect, track, recognize, target, counter, and engage targets at sea, in the air, as well as land either individually or in cooperation. However, there are still a lot of technical obstacles to overcome, and even though unmanned autonomous technology is spreading quickly, the practical barriers are still very high (Bowers and Kirchberger, 2021). These difficulties do not imply that unmanned systems are useless, relatively cheap and primitive examples have been deployed successfully by Ukraine, denying full control of the Black Sea to Russia (Mackintosh, 2024). Rather, the full development of the technology will take time.

Due to “globalization,” the significance of safeguarding marine trade routes has only grown. The strategic significance of the seas in the twenty-first century is demonstrated by the fact that more than 80% of international trade is now carried out by sea, that pipelines are used to distribute resources, and that underwater cables are used to carry internet traffic worldwide (Till, 2013). The requirement for strong and resilient naval forces to safeguard these trade routes and infrastructure continues to be a top priority for superpowers as geopolitical tensions rise, especially in areas like the South China Sea.

To tackle these issues, navies have embraced “post-modern” assignments that prioritize collaboration with allied navies to tackle global issues. Strategies like the United States’ “Co-operative Strategy for 21st Century Seapower,” which calls for international marine alliances to establish a cooperative naval presence frequently referred to as a “1,000 ship navy” the strategy highlights the importance of power projection and maritime security. It aims to enhance global stability and secure freedom of navigation through innovative technologies and a robust strategic sealift capability while countering irregular and transnational threats such as piracy and terrorism. (Conway et al., 2008)

 The concept of power projection remains fundamental to maritime strategy. Navies continue to serve as instruments of state power, capable of influencing events on land and at sea. Aircraft carriers, amphibious assault ships, and other naval assets enable states to project force far from their own shores, providing a visible symbol of military strength and deterrence. Power projection also plays a role in diplomacy, as naval forces can be used for humanitarian missions, disaster relief, and other non-combat operations that enhance a state’s global influence. As geopolitical rivalries intensify in regions from the Indo-Pacific to the artic (Brown and Pensack, 2018), the ability to project naval power remains crucial for maintaining a balance of power and deterring potential adversaries (Till, 2013).

In conclusion, despite the modern developments changing the dynamics of conflict and the global security environment, the fundamental principles of maritime strategy are still relevant in the twenty-first century. Modern naval doctrine is still based on the fundamental ideas established by strategic theorists such as Mahan and Corbett, who emphasized the importance of power projection, sea control, and the defence of maritime trade routes. These underlying concepts are just as important now as they were last century.  

Over 80% of world trade by volume is carried out through maritime channels because of ongoing globalization demonstrating the strategic significance and ongoing relevance of maritime trade route protection. Strong naval forces that can effectively counter both conventional state-based threats and emerging ones such as terrorism, cyberwarfare, and piracy are essential given how dependent we are on these routes for both national security and economic stability.

Technological developments pose both opportunities and challenges in the maritime conflict environment. Unmanned systems and artificial intelligence are examples of technology that can improve naval capabilities but also present supplementary threats that navies must engage with. Geopolitical conflicts in areas such as the Arctic and the South China Sea emphasize the necessity for flexible approaches that can react to rapidly changing circumstances.

Ultimately, maritime strategy needs to be able retain its fundamental objectives while being able to adapt to changing circumstances. The future of maritime strategy depends on the successful integration of old-style principles with modern innovations so that navies can effectively safeguard the vital arteries of global commerce in an ever increasingly interconnected and contested world.

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