Category: The Conversation

Source: The Conversation – Global Perspectives – By Guido Carim Junior, Senior Lecturer in Aviation, Griffith University

Over the weekend, the Indian Aircraft Accident Investigation Bureau released a preliminary report on last month’s crash of Air India flight 171, which killed 260 people, 19 of them on the ground.

The aim of a preliminary report is to present factual information gathered so far and to inform further lines of inquiry. However, the 15-page document has also led to unfounded speculation and theories that are currently not supported by the evidence.

Here’s what the report actually says, why we don’t yet know what caused the crash, and why it’s important not to speculate.

What the preliminary report does say

What we know for certain is that the aircraft lost power in both engines just after takeoff.

According to the report, this is supported by video footage showing the deployment of the ram air turbine (RAT), and the examination of the air inlet door of the auxiliary power unit (APU).

The RAT is deployed when both engines fail, all hydraulic systems are lost, or there is a total electrical power loss. The APU air inlet door opens when the system attempts to start automatically due to dual engine failure.

The preliminary investigation suggests both engines shut down because the fuel flow stopped. Attention has now shifted to the fuel control switches, located on the throttle lever panel between the pilots.

Data from the enhanced airborne flight recorder suggests these switches may have been moved from “run” to “cutoff” three seconds after liftoff. Ten seconds later, the switches were moved back to “run”.

The report also suggests the pilots were aware the engines had shut down and attempted to restart them. Despite their effort, the engines couldn’t restart in time.

We don’t know what the pilots did

Flight data recorders don’t capture pilot actions. They record system responses and sensor data, which can sometimes lead to the belief they’re an accurate representation of the pilot’s actions in the cockpit.

While this is true most of the time, this is not always the case.

In my own work investigating safety incidents, I’ve seen cases in which automated systems misinterpreted inputs. In one case, a system recorded a pilot pressing the same button six times in two seconds, something humanly impossible. On further investigation, it turned out to be a faulty system, not a real action.

We cannot yet rule out the possibility that system damage or sensor error led to false data being recorded. We also don’t know whether the pilots unintentionally flicked the switches to “cutoff”. And we may never know.

As we also don’t have a camera in the cockpit, any interpretation of pilots’ actions will be made indirectly, usually through the data sensed by the aircraft and the conversation, sound and noise captured by the environmental microphone available in the cockpit.

We don’t have the full conversation between the pilots

Perhaps the most confusing clue in the report was an excerpt of a conversation between the pilots. It says:

In the cockpit voice recording, one of the pilots is heard asking the other why did he cutoff. The other pilot responded that he did not do so.

This short exchange is entirely without context. First, we don’t know who says what. Second, we don’t know when the question was asked – after takeoff, or after the engine started to lose power? Third, we don’t know the exact words used, because the excerpt in the report is paraphrased.

Finally, we don’t know whether the exchange referred to the engine status or the switch position. Again, we may never know.

What’s crucial here is that the current available evidence doesn’t support any theory about intentional fuel cutoff by either of the pilots. To say otherwise is unfounded speculation.

We don’t know if there was a mechanical failure

The preliminary report indicates that, for now, there are no actions required by Boeing, General Electric or any company that operates the Boeing 787-8 and/or GEnx-1B engine.

This has led some to speculate that a mechanical failure has been ruled out. Again, it is far too early to conclude that.

What the preliminary report shows is that the investigation team has not found any evidence to suggest the aircraft suffered a catastrophic failure that requires immediate attention or suspension of operations around the world.

This could be because there was no catastrophic failure. It could also be because the physical evidence has been so badly damaged that investigators will need more time and other sources of evidence to learn what happened.

Why we must resist premature conclusions

In the aftermath of an accident, there is much at stake for many people: the manufacturer of the aircraft, the airline, the airport, civil aviation authority and others. The families of the victims understandably demand answers.

It’s also tempting to latch onto a convenient explanation. But the preliminary report is not the full story. It’s based on very limited data, analysed under immense pressure, and without access to every subsystem or mechanical trace.

The final report is still to come. Until then, the responsible position for regulators, experts and the public is to withhold judgement.

This tragedy reminds us that aviation safety depends on patient and thorough investigation – not media soundbites or unqualified expert commentary. We owe it to the victims and their families to get the facts right, not just fast.

Guido Carim Junior has received funding from Boeing R&D Australia to conduct research projects in the past five years.

– ref. Was the Air India crash caused by pilot error or technical fault? None of the theories holds up – yet – https://theconversation.com/was-the-air-india-crash-caused-by-pilot-error-or-technical-fault-none-of-the-theories-holds-up-yet-261102

Source: The Conversation – Global Perspectives – By Aaron J. Snoswell, Senior Research Fellow in AI Accountability, Queensland University of Technology

Grok, the artificial intelligence (AI) chatbot embedded in X (formerly Twitter) and built by Elon Musk’s company xAI, is back in the headlines after calling itself “MechaHitler” and producing pro-Nazi remarks.

The developers have apologised for the “inappropriate posts” and “taken action to ban hate speech” from Grok’s posts on X. Debates about AI bias have been revived too.

But the latest Grok controversy is revealing not for the extremist outputs, but for how it exposes a fundamental dishonesty in AI development. Musk claims to be building a “truth-seeking” AI free from bias, yet the technical implementation reveals systemic ideological programming.

This amounts to an accidental case study in how AI systems embed their creators’ values, with Musk’s unfiltered public presence making visible what other companies typically obscure.

What is Grok?

Grok is an AI chatbot with “a twist of humor and a dash of rebellion” developed by xAI, which also owns the X social media platform.

The first version of Grok launched in 2023. Independent evaluations suggest the latest model, Grok 4, outpaces competitors on “intelligence” tests. The chatbot is available standalone and on X.

xAI states “AI’s knowledge should be all-encompassing and as far-reaching as possible”. Musk has previously positioned Grok as a truth-telling alternative to chatbots accused of being “woke” by right-wing commentators.

But beyond the latest Nazism scandal, Grok has made headlines for generating threats of sexual violence, bringing up “white genocide” in South Africa, and making insulting statements about politicians. The latter led to its ban in Turkey.

So how do developers imbue an AI with such values and shape chatbot behaviour? Today’s chatbots are built using large language models (LLMs), which offer several levers developers can lean on.

What makes an AI ‘behave’ this way?

Pre-training

First, developers curate the data used during pre-training – the first step in building a chatbot. This involves not just filtering unwanted content, but also emphasising desired material.

GPT-3 was shown Wikipedia up to six times more than other datasets as OpenAI considered it higher quality. Grok is trained on various sources, including posts from X, which might explain why Grok has been reported to check Elon Musk’s opinion on controversial topics.

Musk has shared that xAI curates Grok’s training data, for example to improve legal knowledge and to remove LLM-generated content for quality control. He also appealed to the X community for difficult “galaxy brain” problems and facts that are “politically incorrect, but nonetheless factually true”.

We don’t know if these data were used, or what quality-control measures were applied.

Fine-tuning

The second step, fine-tuning, adjusts LLM behaviour using feedback. Developers create detailed manuals outlining their preferred ethical stances, which either human reviewers or AI systems then use as a rubric to evaluate and improve the chatbot’s responses, effectively coding these values into the machine.

A Business Insider investigation revealed xAI’s instructions to human
“AI tutors” instructed them to look for “woke ideology” and “cancel culture”. While the onboarding documents said Grok shouldn’t “impose an opinion that confirms or denies a user’s bias”, they also stated it should avoid responses that claim both sides of a debate have merit when they do not.

System prompts

The system prompt – instructions provided before every conversation – guides behaviour once the model is deployed.

To its credit, xAI publishes Grok’s system prompts. Its instructions to “assume subjective viewpoints sourced from the media are biased” and “not shy away from making claims which are politically incorrect, as long as they are well substantiated” were likely key factors in the latest controversy.

These prompts are being updated daily at the time of writing, and their evolution is a fascinating case study in itself.

Guardrails

Finally, developers can also add guardrails – filters that block certain requests or responses. OpenAI claims it doesn’t permit ChatGPT “to generate hateful, harassing, violent or adult content”. Meanwhile, the Chinese model DeepSeek censors discussion of Tianamen Square.

Ad-hoc testing when writing this article suggests Grok is much less restrained in this regard than competitor products.

The transparency paradox

Grok’s Nazi controversy highlights a deeper ethical issue: would we prefer AI companies to be explicitly ideological and honest about it, or maintain the fiction of neutrality while secretly embedding their values?

Every major AI system reflects its creator’s worldview – from Microsoft Copilot’s risk-averse corporate perspective to Anthropic Claude’s safety-focused ethos. The difference is transparency.

Musk’s public statements make it easy to trace Grok’s behaviours back to Musk’s stated beliefs about “woke ideology” and media bias. Meanwhile, when other platforms misfire spectacularly, we’re left guessing whether this reflects leadership views, corporate risk aversion, regulatory pressure, or accident.

This feels familiar. Grok resembles Microsoft’s 2016 hate-speech-spouting Tay chatbot, also trained on Twitter data and set loose on Twitter before being shut down.

But there’s a crucial difference. Tay’s racism emerged from user manipulation and poor safeguards – an unintended consequence. Grok’s behaviour appears to stem at least partially from its design.

The real lesson from Grok is about honesty in AI development. As these systems become more powerful and widespread (Grok support in Tesla vehicles was just announced), the question isn’t whether AI will reflect human values. It’s whether companies will be transparent about whose values they’re encoding and why.

Musk’s approach is simultaneously more honest (we can see his influence) and more deceptive (claiming objectivity while programming subjectivity) than his competitors.

In an industry built on the myth of neutral algorithms, Grok reveals what’s been true all along: there’s no such thing as unbiased AI – only AI whose biases we can see with varying degrees of clarity.

Aaron J. Snoswell previously received research funding from OpenAI in 2024–2025 to develop new evaluation frameworks for measuring moral competence in AI agents.

– ref. How do you stop an AI model turning Nazi? What the Grok drama reveals about AI training – https://theconversation.com/how-do-you-stop-an-ai-model-turning-nazi-what-the-grok-drama-reveals-about-ai-training-261001

Source: The Conversation – Global Perspectives – By Konstantine Panegyres, Lecturer in Classics and Ancient History, The University of Western Australia

These days when you see people exercising, they’re usually also listening to music, whether they’re at the gym, or out jogging on the street.

It makes sense, as studies have shown listening to music can help you get the most out of a workout.

Somehow the ancient Greeks and Romans knew this too, long before modern science was there to back it.

A more than 2,000-year-old habit

In his oration To the People of Alexandria, the Greek writer Dio Chrysostom (40-110 CE) complained about a phenomenon he saw all the time.

Dio wrote people loved to listen to music in their daily activities. According to him, music could be found in the courtroom, in the lecture theatre, in the doctor’s room, and even in the gym.

“Everything is done to music […] people will presently go so far as to use song to accompany their exercise in the gymnasium,” Dio wrote.

But exercising to music wasn’t a new thing in his day. This practice has been recorded across the ancient Greek and Roman worlds from the earliest times, and as far back as the poems of Homer (circa 800 BCE).

Why exercise to music?

There are many depictions of professional athletes training, or competing, to the accompaniment of music in ancient Greek vase paintings.

In one vase painting from the 5th century BCE, a group of athletes trains while a musician plays the aulos, a type of ancient pipe instrument.

The ancient writer Plutarch of Chaeronea (46-119 CE) tells us music was also played while people wrestled or did athletics.

Athenian writer Flavius Philostratus (circa 170-245 CE) offers clues as to why. In a book about gymnastics, Philostratus wrote music served to stimulate athletes, and that their performance might be improved through listening to music.

Today’s researchers have proven this to be true. One 2020 study involving 3,599 participants showed listening to music during exercise had many benefits, such as reducing the perception of fatigue and exertion, and improving physical performance and breathing.

Singing and trumpets

Since ancient people didn’t have electronic devices, they found other ways to exercise to music. Some had music played by a musician during their exercise routine. Others sang while they exercised.

Singing while playing ball games was particularly popular. In Homer’s Odyssey (circa 8th century BCE), Nausicaa, the daughter of the King of Phaeacia, plays a ball game with her girl friends, and they all sing songs as they play.

Similarly, the historian Carystius of Pergamum (2nd century BCE) wrote the women of his time “sang as they played ball”.

Another popular activity was dancing to music. Dancing was widely regarded as a gymnastic exercise people could do for better health.

One famous advocate of the benefits of dancing as exercise was the great Athenian philosopher Socrates (circa 470-399 BCE). According to the historian Diogenes Laertius (3rd century CE), “it was Socrates’ regular habit to dance, thinking that such exercise helped to keep the body in good condition”.

Apart from individuals using music in their personal exercise, soldiers also did training exercises, and marched to battle, to the sound of trumpets.

Don’t skip leg day

There was a belief in ancient Greek and Roman that music and exercise played an important role in shaping and developing the body and soul.

The ideal was harmony and moderation. The body and soul needed to be balanced and proportionate in all their parts, without any excess. As such, doing one kind of exercise too often, or exercising one body part excessively, was frowned upon.

The physician Galen of Pergamum (129-216 CE) criticised types of exercise that focused too much on one part of the body. He preferred ball games as they exercised the whole body evenly.

Immoderation in music – that is, listening to too much, or listening to music that was too emotional – was also sometimes frowned upon.

For example, the Athenian philosopher Plato (circa 428-348 BCE) famously argued most music should be censored as it can stir the passions too strongly. Plato thought only simple and unemotional music, listened to in moderation, should be allowed.

If the ancients could see today’s people running along the pavement with music thumping in their ears, they would surely be amazed. And they’d probably approve – as long as it wasn’t being done in excess.

Konstantine Panegyres does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Can’t work out without music? Neither could the ancient Greeks and Romans – https://theconversation.com/cant-work-out-without-music-neither-could-the-ancient-greeks-and-romans-258069

Source: The Conversation – Global Perspectives – By Anthony Blazevich, Professor of Biomechanics, Edith Cowan University

You’re standing at your front door, facing a five kilometre commute to work. But you don’t have your car, and there’s no bus route. You can walk for an hour – or jump on your bicycle and arrive in 15 minutes, barely breaking a sweat. You choose the latter.

Many people would make the same choice. It’s estimated that there are more than a billion bikes in the world. Cycling represents one of the most energy-efficient forms of transport ever invented, allowing humans to travel faster and farther while using less energy than walking or running.

But why exactly does pedalling feel so much easier than pounding the pavement? The answer lies in the elegant biomechanics of how our bodies interact with this two-wheeled machine.

A wonderfully simple machine

At its heart, a bicycle is wonderfully simple: two wheels (hence “bi-cycle”), pedals that transfer power through a chain to the rear wheel, and gears that let us fine-tune our effort. But this simplicity masks an engineering that perfectly complements human physiology.

When we walk or run, we essentially fall forward in a controlled manner, catching ourselves with each step. Our legs must swing through large arcs, lifting our heavy limbs against gravity with every stride. This swinging motion alone consumes a lot of energy. Imagine: how tiring would it be to even swing your arms continuously for an hour?

On a bicycle, your legs move through a much smaller, circular motion. Instead of swinging your entire leg weight with each step, you’re simply rotating your thighs and calves through a compact pedalling cycle. The energy savings are immediately noticeable.

But the real efficiency gains come from how bicycles transfer human power to forward motion. When you walk or run, each footstep involves a mini-collision with the ground. You can hear it as the slap of your shoe against the road, and you can feel it as vibrations running through your body. This is energy being lost, literally dissipated as sound and heat after being sent through your muscles and joints.

Walking and running also involve another source of inefficiency: with each step, you actually brake yourself slightly before propelling forward. As your foot lands ahead of your body, it creates a backwards force that momentarily slows you down. Your muscles then have to work extra hard to overcome this self-imposed braking and accelerate you forward again.

Kissing the road

Bicycles use one of the world’s great inventions to solve these problems – wheels.

Instead of a collision, you get rolling contact – each part of the tyre gently “kisses” the road surface before lifting off. No energy is lost to impact. And because the wheel rotates smoothly so the force acts perfectly vertically on the ground, there’s no stop-start braking action. The force from your pedalling translates directly into forward motion.

But bicycles also help our muscles to work at their best. Human muscles have a fundamental limitation: the faster they contract, the weaker they become and the more energy they consume.

This is the famous force-velocity relationship of muscles. And it’s why sprinting feels so much harder than jogging or walking – your muscles are working near their speed limit, becoming less efficient with every stride.

Bicycle gears solve this problem for us. As you go faster, you can shift to a higher gear so your muscles don’t have to work faster while the bike accelerates. Your muscles can stay in their sweet spot for both force production and energy cost. It’s like having a personal assistant that continuously adjusts your workload to keep you in the peak performance zone.

Walking sometimes wins out

But bicycles aren’t always superior.

On very steep hills of more than about 15% gradient (so you rise 1.5 metres every 10 metres of distance), your legs struggle to generate enough force through the circular pedalling motion to lift you and the bike up the hill. We can produce more force by pushing our legs straight out, so walking (or climbing) becomes more effective.

Even if roads were built, we wouldn’t pedal up Mount Everest.

This isn’t the case for downhills. While cycling downhill becomes progressively easier (eventually requiring no energy at all), walking down steep slopes actually becomes harder.

Once the gradient exceeds about 10% (it drops by one metre for every ten metres of distance), each downhill step creates jarring impacts that waste energy and stress your joints. Walking and running downhill isn’t always as easy as we’d expect.

Not just a transportation device

The numbers speak for themselves. Cycling can be at least four times more energy-efficient than walking and eight times more efficient than running. This efficiency comes from minimising three major energy drains: limb movement, ground impact and muscle speed limitations.

So next time you effortlessly cruise past pedestrians on your morning bike commute, take a moment to appreciate the biomechanical work of art beneath you. Your bicycle isn’t just a transport device, but a perfectly evolved machine that works in partnership with your physiology, turning your raw muscle power into efficient motion.

Anthony Blazevich does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. Cycling can be 4 times more efficient than walking. A biomechanics expert explains why – https://theconversation.com/cycling-can-be-4-times-more-efficient-than-walking-a-biomechanics-expert-explains-why-257120

Source: The Conversation – Global Perspectives – By Nicole Lee, Adjunct Professor at the National Drug Research Institute (Melbourne based), Curtin University

Alcohol has many negative effects on our health, some of which may surprise you. These include short-term impacts such as waking up with a pounding head or anxiety, to long-term effects including cancer.

If you are thinking about taking some time off alcohol, you’ll find many quick wins and long-term gains for your health.

How long will you have to wait to feel the benefits?

We’ve made a timeline – based on scientific research – that shows what you might feel in the first days, weeks, months and years after taking a break from alcohol.

Some benefits start immediately, so every day without alcohol is a win for your health.

After one day

Alcohol takes around 24 hours to completely leave your body, so you may start noticing improvements after just one day.

Alcohol makes you need to urinate more often, causing dehydration. But your body can absorb a glass of water almost immediately, so once alcohol is out of your system alcohol dehydration is reduced, improving digestion, brain function and energy levels.

Alcohol also reduces the liver’s ability to regulate blood sugar. Once alcohol leaves the system, blood sugar begins to normalise.

If you are a daily drinker you may feel a bit worse to start with while your body adjusts to not having alcohol in its system all the time. You may initially notice disrupted sleep, mood changes, sweating or tremors. Most symptoms usually resolve in about a week without alcohol.

After one week

Even though alcohol can make you feel sleepy at first, it disrupts your sleep cycle. By the end of an alcohol-free week, you may notice you are more energetic in the mornings as a result of getting better quality sleep.

As the body’s filter, the liver does much of the heavy lifting in processing alcohol and can be easily damaged even with moderate drinking.

The liver is important for cleaning blood, processing nutrients and producing bile that helps with digestion.

But it can also regenerate quickly. If you have only mild damage in the liver, seven days may be enough to reduce liver fat and heal mild scarring and tissue damage.

Even small amounts of alcohol can impair brain functioning. So quitting can help improve brain health within a few days in light to moderate drinkers and within a month even for very heavy dependent drinkers.

After one month

Alcohol can make managing mood harder and worsen symptoms of anxiety and depression. After a few weeks, most people start to feel better. Even very heavy drinkers report better mood after one to two months.

As your sleep and mood improve you may also notice more energy and greater wellbeing.

After a month of abstinence regular drinkers also report feeling more confident about making changes to how they drink.

You may lose weight and body fat. Alcohol contains a lot of kilojules and can trigger hunger reward systems, making us overeat or choose less healthy foods when drinking.

Even your skin will thank you. Alcohol can make you look older through dehydration and inflammation, which can be reversed when you quit.

Alcohol irritates the gut and disrupts normal stomach functioning, causing bloating, indigestion, heartburn and diarrhoea. These symptoms usually start to resolve within four weeks.

One month of abstinence, insulin resistance – which can lead to high blood sugar – significantly reduces by 25%. Blood pressure also reduces (by 6%) and cancer-related growth factors declines, lowering your risk of cancer.

After six months

The liver starts to repair within weeks. For moderate drinkers, damage to your liver could be fully reversed by six months.

At this point, even heavy drinkers may notice they’re better at fighting infections and feel healthier overall.

After one year or more

Alcohol contributes to or causes a large number of chronic diseases, including heart disease, stroke, type 2 diabetes, and seven different types of cancer, as well as mental health issues. All of these risks can be reduced by quitting or cutting back on alcohol.

Alcohol increases blood pressure. High blood pressure (hypertension) is the top risk factor for death in the world. A small 2mmHg increase in blood pressure above the normal range (120mmHG) increases death from stroke by 10% and from coronary artery disease by 7%.

Cutting back on alcohol to less than two drinks a day can reduce blood pressure significantly, reducing risk of stroke and heart disease. Reducing blood pressure also reduces risk of kidney disease, eye problems and even erectile dysfunction.

With sustained abstinence, your risk of getting any type of cancer drops. One study looked at cancer risk for more than 4 million adults over three to seven years and found the risk of alcohol-related cancer dropped by 4%, even for light drinkers who quit. Reducing from heavy to moderate drinking reduced alcohol-related cancer risk by 9%.

Making a change

Any reduction in drinking will have some noticeable and immediate benefits to your brain and general health. The less you drink and the longer you go between drinks, the healthier you will be.

Whether you aim to cut back or quit entirely, there are some simple things you can do to help you stick with it:

• set clear goals plus the smaller steps you need to take to get there

• pay attention to the benefits you notice from quitting

• monitor your progress with a Drink Tracker

• get support from others, for example Hello Sunday Morning’s anonymous Daybreak app, SMART Recovery, CounsellingOnline or Sober in the Country.

If you are still wondering about whether to make changes or not you can check your drinking risk here.

If you have tried to cut back and found it difficult you may need professional help. Call the National Alcohol and other Drug Hotline on 1800 250 015 and they will put you in touch with services in your area that can help. You can also talk to your GP.

We would like to thank Dr Hannah MacRae for assistance in identifying the research used in this article.

Nicole Lee works as a paid evaluation and training consultant in alcohol and other drugs. She has previously been awarded grants by state and federal governments, NHMRC and other public funding bodies for alcohol and other drug research. She is CEO of Hello Sunday Morning.

Dr Katinka van de Ven is the Research Manager of Hello Sunday Morning. She also works as a paid evaluation and training consultant in alcohol and other drugs. Katinka has previously been awarded grants by state governments and public funding bodies for alcohol and other drug research.

– ref. Even a day off alcohol makes a difference – our timeline maps the health benefits when you stop drinking – https://theconversation.com/even-a-day-off-alcohol-makes-a-difference-our-timeline-maps-the-health-benefits-when-you-stop-drinking-249272