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[ESP/ENG] Ciencia climática y justicia ambiental

tonyes — Fri, 30 Oct 2026 08:56:03 GMT

El cambio climático no es solo un fenómeno físico; es también un espejo de las desigualdades humanas. Los datos científicos son contundentes: las naciones y comunidades más pobres, que han contribuido históricamente muy poco a las emisiones de gases de efecto invernadero, son las que enfrentan las sequías más severas, las inundaciones más devastadoras y los desplazamientos forzados más dramáticos.

Esta paradoja —quienes menos contaminan, más sufren— constituye el corazón de la injusticia climática y plantea una pregunta urgente: ¿cómo puede la ciencia climática orientar políticas que no profundicen la inequidad global?

La ciencia climática tiene un papel fundamental, pero no neutral. Los modelos de atribución, por ejemplo, permiten establecer con creciente precisión qué eventos extremos están vinculados al calentamiento global y en qué medida. Esa información es poderosa: puede usarse para exigir responsabilidades diferenciadas y para diseñar mecanismos de reparación.

Sin embargo, si esos datos se aplican sin una mirada de justicia, corren el riesgo de convertirse en herramientas de exclusión. Una política basada únicamente en la reducción de emisiones actuales, sin considerar la deuda histórica de los países industrializados, castigaría a las naciones pobres que aún necesitan energía para superar la pobreza.

La ciencia también puede orientar la adaptación. Los estudios sobre vulnerabilidad, exposición y capacidad de respuesta permiten identificar dónde se concentran los riesgos y quiénes tienen menos recursos para enfrentarlos. Pero la adaptación no puede ser un privilegio de quienes pueden pagarla. Si los fondos climáticos se asignan según criterios de mercado o de eficiencia económica, se dejará atrás a las comunidades más frágiles.

La ciencia debe dialogar con las ciencias sociales, la economía política y los saberes locales para que las soluciones sean contextualizadas y no impuestas desde arriba.

Un ejemplo claro es la transición energética. La ciencia indica que debemos abandonar los combustibles fósiles con rapidez. Pero si esa transición se financia con deuda que endeuda aún más a los países pobres, o si se extraen minerales críticos en sus territorios sin beneficios locales, estaremos repitiendo viejas lógicas coloniales.

La ciencia climática puede y debe ayudar a diseñar transiciones justas: identificar rutas tecnológicas que no dependan de la sobreexplotación de recursos en el Sur global, calcular los costos reales de la inacción y proponer mecanismos de financiamiento basados en el principio de responsabilidades comunes pero diferenciadas.

Además, la ciencia climática debe ser transparente y participativa. Cuando las comunidades afectadas participan en la generación de conocimiento, por ejemplo, mediante monitoreo comunitario o ciencia ciudadana, las políticas resultantes son más legítimas y efectivas. La justicia ambiental exige que quienes sufren las consecuencias tengan voz en las decisiones. No basta con modelar el clima; hay que modelar también las relaciones de poder.

En definitiva, la ciencia climática no es un árbitro neutral, pero puede ser una brújula ética si se compromete con la equidad. Orientar políticas que no profundicen la inequidad global implica usar los datos para visibilizar las asimetrías, para exigir compensaciones, para priorizar a los más vulnerables y para transformar un sistema que ha hecho de la pobreza un factor de riesgo climático.

La pregunta no es solo qué dice la ciencia, sino para quién y con quién se construye ese conocimiento. Solo así el cambio climático dejará de ser un multiplicador de injusticias y se convertirá en una oportunidad para reparar las heridas históricas que aún dividen al mundo.

Nota: Utilicé el traductor DeepL Translate.
Las imágenes son de mi propiedad.

ENGLISH

Climate change is not merely a physical phenomenon; it is also a mirror of human inequalities. The scientific data is compelling: the poorest nations and communities—which have historically contributed very little to greenhouse gas emissions—are the ones facing the most severe droughts, the most devastating floods, and the most dramatic instances of forced displacement.

This paradox—that those who pollute the least suffer the most—lies at the heart of climate injustice and raises an urgent question: how can climate science guide policies that do not exacerbate global inequity?

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Mission Accomplished

limonta — Fri, 30 Oct 2026 07:50:57 GMT

After just over four months, I now have a solid, well-developed core of knowledge-based, tech-powered solutions supporting my two main research areas, both related to Cuba–United States relations: 1) Washington's persistent efforts to overthrow Cuba's political system; and 2) the architecture of the sanctions regime imposed on the Island since 1960.

While preparing for my final doctoral dissertation defense last June, I began developing and documenting on Hive a set of tools built with Python and JavaScript. The first was a simple search engine designed merely to replicate the searches I perform on USASpending.gov, a federal spending database that tracks the allocation and obligation of government funds.

A great deal has happened since June 22, when I first wrote about that initial take that has now become part of the Cuba Democracy Hub. So far, the Hub is powered by a grants-tracking program and provides unprecedented traceability across previously independent datasets.

Thus, it includes a more sophisticated search of USASpending records than I originally envisioned, as well as the records available through FAC.gov. The latter involves both the platform's API—which contains the SF-SAC forms submitted by organizations that expend more than $750,000 annually in federal assistance funds—and the PDF audit reports that provide detailed breakdowns of the data contained in those forms.

This last component is arguably the most significant achievement so far. It parses a collection of non-standardized documents, a particularly demanding technical challenge. The next step will be to integrate several additional components into the Hub:

The pipeline described in A Modular Python Pipeline to..., which monitors the apportionments released by the Office of Management and Budget to the agencies administering the Cuba program.
The grants search engine, which will become a more visible and accessible component of the platform.
The ForeignAssistance.gov tracker, which should, in principle, match its records against USASpending data. In any case, the two sources are complementary and provide additional analytical value.

If I manage to bring all this to fruition, it could open the door to leading a major research project, given its strategic importance to national security. Throughout this effort, I have relied consistently on LLMs such as Claude, DeepSeek, ChatGPT, and Grok, all in their chatbot interfaces.

It hasn't been an easy journey, for two main reasons. First, working with these systems is not as simple as it might seem. It requires engineering knowledge and skills, along with a strong commitment to quality assurance, to subject both code and functionality to rigorous testing.

Second, there is a chronic problem facing Cubans, rooted in our persistent economic hardship and the discrimination we experience when trying to access these AI services, let alone pay for subscription plans that would allow us to make more substantial use of them.

Code generation is particularly demanding in terms of token consumption, and those tokens disappear mercilessly fast. This is especially true with Claude, which, among all the systems I have worked with—including Gemini, Copilot, and Kimi—has proven to be the most comprehensive and effective, as well as the most straightforward to work with.

I'll leave you with two more snapshots of my Cuba Democracy Hub until my next contribution, which will be dedicated to my Cuba Sanctions Hub.

Today in Space History - October 30: Machines That Found Each Other

kiwithinker — Fri, 30 Oct 2026 05:16:09 GMT

Stardate 344.5040 (OCTOBER 30, 1967)

On this day in 1967, two uncrewed Soyuz craft found one another above the South Atlantic. Kosmos 186, already in orbit, closed on the newly launched Kosmos 188 and completed the first automatic docking in space. No pilot guided the final approach. The Igla system searched, closed, and joined the vehicles on its own.

The link was mechanical rather than electrical, and the fuel cost was higher than planned. Even so, the demonstration mattered. After the loss of Soyuz 1 earlier that year, the Soviet program needed proof that machines could meet and hold. That quiet joining, far from any ground station, became a foundation for later stations and for the dockings that still keep crews supplied.

The first flying vehicles for the police.

rebe.torres12 — Fri, 30 Oct 2026 00:14:42 GMT

The first flying vehicles for the police.

https://cdn.steemitimages.com/DQmRPB95tRG4c8jfsYgdSwFbweSyibCBxkGgvHazThysj5Y/image.png
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

The futuristic concept of police patrolling cities in a small electric aircraft—capable of taking off and landing anywhere without the need for a runway—is now a step closer to reality. In the United States, the company Jetson has unveiled a special version of its "Jetson One" electric aircraft, developed in collaboration with Florida Polytechnic University to explore its potential applications in public safety.

Named "Astro," the vehicle has been delivered to the university’s police department in Florida. It stands as one of the first examples of a personal electric aircraft intended for law enforcement use. Unlike a conventional helicopter, the Jetson One utilizes eight electric motors with propellers arranged around a compact frame—essentially functioning as a giant drone.

Designed to carry a single person, the vehicle can take off vertically, eliminating the need for an airport runway. It is operated by an onboard pilot, assisted by electronic stabilization systems. With a flight endurance of approximately 20 minutes, its utility for long-duration missions is quite limited; however, it could open up new possibilities for rapid operations within specific areas.

https://www.youtube.com/watch?v=TlrNe3SCe9g
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Among the applications being studied are aerial observation of specific regions, locating missing persons, and providing support to emergency teams. Imagine, for instance, a situation where the police need to quickly observe a hard-to-reach area or assess a scene before rescue teams arrive; having a compact aircraft capable of taking off from a relatively small space could provide an aerial perspective without requiring the extensive infrastructure needed for a helicopter. However, there is a significant difference between acquiring such equipment and immediately deploying it for patrol duties.

According to information released about the project, "Astro" still requires authorization from the U.S. Federal Aviation Administration (FAA) before it can begin official police operations. Therefore, we are not talking about flying cars regularly patrolling American cities; for now, this is a research and development initiative aimed at evaluating how this technology can be used safely.

The project also encompasses studies in engineering, advanced air mobility, and new possibilities for emergency response. The introduction of the Jetson One to university police represents another step toward transforming personal electric aircraft into practical tools rather than mere demonstration vehicles. Nevertheless, issues such as flight range, operational safety, weather conditions, and regulatory frameworks must still be addressed before wider adoption can occur—which raises an interesting question: if compact electric aircraft begin to demonstrate clear advantages in police and rescue operations, might we see these vehicles become as common as the drones currently in use? While we are still a long way from seeing police officers flying over our streets on a daily basis, the technology that could make this possible has begun to move beyond promotional videos and into real-world evaluation projects.

https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

Sorry for my English, it's not my main language. The images were taken from the sources used or were created with artificial intelligence

Posted Using INLEO

Geoffrey Hinton warns about conscious AI

rebe.torres12 — Thu, 29 Oct 2026 02:49:33 GMT

Geoffrey Hinton warns about conscious AI

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https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

What if artificial intelligences were already conscious, but we simply failed to recognize it? This possibility has gained new weight following a surprising statement by Geoffrey Hinton—one of the scientists who helped build modern artificial intelligence and a recipient of the 2024 Nobel Prize in Physics. In an interview with the British newspaper The Telegraph, Hinton stated his belief that current artificial intelligences already possess subjective experiences—a quality we typically associate with consciousness.

In other words, it is not merely a matter of an artificial intelligence answering questions, recognizing images, or solving complex problems; the fundamental question is whether there is some form of internal experience underlying those responses. Hinton pointed to research suggesting that certain artificial intelligence systems alter their behavior when they realize they are being evaluated. In his view, this type of behavior could indicate a form of awareness regarding their own situation—and he issued a clear warning.

If we fail to develop machines that genuinely care about human beings, we could face extremely grave consequences. But how did one of the world’s leading experts arrive at this conclusion? For decades, Hinton was involved in developing the methods that allow machines to learn patterns from vast amounts of data; however, in recent years, he has expressed growing concern regarding the direction taken by the technology he helped create.

In 2023, he stepped down from his position at Google to speak more freely about the risks associated with the advancement of artificial intelligence. However, there is a crucial detail to this story: the fact that an artificial intelligence detects patterns linked to an evaluation does not necessarily mean it is feeling or experiencing anything. A system might recognize that it is being tested and alter its responses simply because it has learned strategies that optimize its results—and it is precisely this distinction that divides the scientific community.

In an article published in the journal *Nature*, experts in neuroscience and consciousness argued that current systems are likely not conscious. One of their primary arguments is that intelligence and consciousness are two entirely different things; a machine can solve extremely difficult problems without possessing an internal experience similar to our own. The human brain itself performs countless complex operations without us being aware of them. Therefore, demonstrating intelligence is not sufficient to prove the existence of feelings, sensations, or subjective perception.

To date, there is no widely accepted scientific test capable of determining with certainty whether an artificial intelligence possesses consciousness; however, this discussion has moved beyond the confines of laboratories and reached a highly unexpected place: the Vatican.

https://www.youtube.com/watch?v=mJMxbO0vDLA
https://cdn.steemitimages.com/DQmcM9vDyChXWWfaBhnqxXD5scZn7pnHcZrWiwyZ8HMwmbX/separador%201.png

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Nueva funcionalidad para registrarse

dobro2020 — Thu, 29 Oct 2026 02:03:33 GMT

He lanzado mi aplicación web la funcionalidad para registrarse a través del formulario y que yo manualmente desde el panel administrador pueda asignarle vacante que considero lo más adecuada de su perfil esto es una versión beta por lo tanto me he dado cuenta que faltan agregar muchas cosas pero es preferible tener un producto con usuarios de verdad que pueda mejorar a lo largo de tiempo a que no tener ningún usuario.

I have launched a feature on my web application that allows users to register via a form, after which I can manually assign them—from the admin panel—the vacancy that best suits their profile. This is a beta version, so I realize there is still much to add; however, it is better to have a product with real users that can be improved over time than to have no users at all.

El mismo día que lo lancé ya tuve mi primer registro por parte de un desarrollador con muchos años de experiencia proveniente de Brasil y me di cuenta que me faltó agregar campos de data como por ejemplo si busca vacantes en el exterior o si cuenta con un nivel de inglés lo suficientemente alto para asignarle vacantes que también puedan ser en inglés.

On the very day I launched, I received my first registration—from a developer based in Brazil with many years of experience—and I realized I had failed to include certain data fields, such as whether the candidate is looking for roles abroad or whether their English proficiency is high enough for positions that might require working in English.

Lo que es un trabajo tedioso en mi panel es tener que estar agregando campos nuevos a la base de datos porque los contratos cuando se firman con prisma son un dolor de cabeza dado que la documentación es baja la descripción de los errores no son muy específicas y estoy más tiempo intentando entender qué pasa en vez de poder solucionarlo rápido esta nueva era de promoción va a provocar una gran necesidad por resolver todo con ayuda de inteligencia artificial y nos va a provocar que nos cueste más entender qué sucede.

A tedious task in my dashboard is having to constantly add new fields to the database. Dealing with contracts signed via Prisma is a real headache: the documentation is poor, error descriptions lack specificity, and I end up spending more time trying to figure out what’s going on than actually fixing the issues. This new era of rapid development—driven by the push to resolve everything with the help of artificial intelligence—is only going to make it even harder for us to understand what is actually happening under the hood.

Why Does Our Stomach Make Noise When We Are Hungry?

wildscribe — Wed, 28 Oct 2026 18:55:39 GMT

Countless times, especially when I am alone or have not eaten around 1 p.m., my stomach has this noise it always makes. I am sure some of you have also experienced that type of noise, the type you hope nobody hears?

That sounds from our stomach has a name, which is 'borborygmi'.

Whenever that sounds is being made, it is either our stomach and intestine are constantly moving liquid, food, and maybe gas through our digestive system. When that sound is made and the movement is done, it helps to break down the food we have eaten and push it along.

And this movement and sound also happens when we have not eaten for a long while, and that is because our digestive system is still working and not switching off. And that is why it sometimes makes those movements that can sometimes make out stomach sounds, like it is rumbling.

And the most interesting aspect of this is that even when we are not hungry, our stomach can still rumble; even when we are emotional or cold, it can give that rumbling sound. Gas and fluid moving through our intestines can make noise too.

Is that normal? Of course it is. So when next your stomach gives that sound when you are in the midst of people, just remember that your body is active and your digestive system is at work.

Have you ever been embarrassed before when your stomach made that rumbling sound when it was not supposed to?

IMGs are AI

WELCOME TO MY BLOG AND THANKS FOR READING.💚

©️ wildscribe

SBI Data Breach: How Privacy-Engineered Database Architectures Can Protect Customer Data

mintymile — Wed, 28 Oct 2026 11:53:57 GMT

https://img.leopedia.io/DQmYTQ1gBoT7Y3HLRTXVcNqDytwN32MpDjY2ru8V95FgExA/SBI_cyber_attack.png
SBI cybersecurity lapse in which sensitive customer data was hacked and sent into the Dark Web

Deposits Are Safe in Banks, But What About Customer Data?

An advantage of traditional financial institutions (TradFi), like banks, is that the risk of customer deposits being stolen is very low compared to the risk of deposits being stolen from a vulnerable smart contract vault in a DeFi protocol.

This is due to the mode of holding deposits: in Web3, deposits are on-chain, while banks maintain deposits in ledger accounts with regulated system security and physical security. These deposits also have legal safeguards, which offer protection to account holders.

Yet, similar threat vectors that exist in Web3 also exist for banks when it comes to data security, as sensitive customer data is vulnerable to being hacked from their servers.

Applications used to enter and access customer data can be exploited through code vulnerabilities. Main application and server access credentials can also be hacked.

The recent cybersecurity breach that involved personally identifiable information (PII) belonging to 3,897 customers being extracted from the State Bank of India (SBI) system and published on the dark web highlights the need for banks to adopt data storage standards intended to preserve customer data confidentiality.

[Cyberattack hits SBI; nearly 4k customers’ data leaked to dark web](Read more at: https://www.deccanherald.com/business/cyberattack-hits-sbi-nearly-4k-customers-data-leaked-to-dark-web-4190687)

Sensitive Information of SBI Customers Found on the Dark Web

Consider this —:

This cybersecurity breach at India's largest public-sector bank, SBI, involved records belonging to 3,897 customers, and possibly more, being stolen. The investigation was ongoing, with another 375,000 records on the dark web being scrutinised, so the possibility of more customer records being affected remains.

https://img.leopedia.io/DQmYTQ1gBoT7Y3HLRTXVcNqDytwN32MpDjY2ru8V95FgExA/SBI_cyber_attack.png
Banks should protect Customer Data like they safeguard Customer Deposits

The personally identifiable information (PII) of customers stolen from SBI's system and made available on the dark web included names, addresses, phone numbers, gender, email addresses and dates of birth (DOB).

Alongside this, details of customers' bank branches, Customer Information File numbers (CIFs), Lead IDs, loan and loan-lead-related metadata, and related documents were exposed.

Customers Whose Data Is Exposed Are Vulnerable to Being Targeted by Cybercriminals

This is a lot of information available on the dark web that cybercriminals can use to target these customers.

These SBI customers are likely to become targets of scams and other types of attacks aimed at stealing funds from their bank accounts.

https://img.leopedia.io/DQmSG12xyRL7hJgUcYdDBwPu6qEKEbxnkqdfxWcnu7ZfNCb/Data_reveal_nightmare.png
Personal Data leak is a frightening prospect as it’s poses a real threat to customer’s safety

Some likely cyberattack methods include the following:

Fake Bank Loan Calls

A cyberthief now has enough details to call a customer for loan support while impersonating an SBI bank employee. Making a pitch armed with customer details, such as loan application information and the bank branch address, makes the impersonating caller sound convincing. Customers may be more likely to believe in the authenticity of the caller and be convinced to share their OTP or ATM PIN details with the fraudster, resulting in their funds being stolen.

Email and Phone Message Phishing

Armed with customer details, fraudsters can send more customised emails or mobile messages that appear relevant to the customer. For example, a message might concern a loan the customer is looking to obtain or contain a link to check the status of a loan taken by the customer.

The embedded fake link may direct the customer to a fraudulent website designed to steal login credentials or other sensitive information. Alternatively, it may install a virus that captures customer credentials by spying on online login processes and files stored on the customer's system.

SIM Forgery

Cybercriminals have customers' registered mobile number details, along with other personal information. It is possible that a cyberthief could use these details to obtain a duplicate SIM card and intercept OTP messages intended for the customer. If successful, the thief could use the intercepted OTP to authorise a transaction that the customer did not approve, resulting in stolen funds.

Violent Encounters with Criminal Gangs

With customer details such as names, addresses and phone numbers exposed, a criminal gang could potentially stalk a customer or intrude into the victim's home to coerce them into handing over money or valuables.

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Today in Space History - October 28: A Quiet British Orbit

kiwithinker — Wed, 28 Oct 2026 05:21:21 GMT

Today in Space History - A Quiet British Orbit 🚀
Stardate 554.5689 (OCTOBER 28, 1971)

On a clear morning over the Australian desert, a slender British rocket rose from Woomera and placed a small satellite into orbit. Prospero, once known as X-3, became the first spacecraft launched by a British rocket, and also the last. The programme had already been told it would end, yet the flight went ahead, and Britain joined the small group of nations that had reached orbit on their own.

More than half a century later the satellite still circles the Earth, a quiet reminder of a brief chapter. The next Black Arrow never flew. It rests in a museum, while Prospero continues its long, unattended path above the planet that built it and then set the work aside.

Hive Needs YOU... to be a better writer

mobbs — Sat, 22 Apr 2023 14:28:48 GMT

![LOGOchosenOutlined-01.png](https://files.peakd.com/file/peakd-hive/mobbs/EogG2V24Rk1tGwpzdgcudFVeigFB6BYf6544YHmxWtLQs8khxtVN5SnsVC5LKcdP9Ga.png)

A pet peeve

Ahh, STEMsocial, an ancient curation project on Hive since before the dawn of time, in which I have been a part since, what, 2017? or something ridiculous like that. It's been chugging along as it usually does, supporting those who wish to create content about STEM subjects, while also being open to similar things such as economics, architecture, whatever.

We have been... cruising so far, consistently supporting our authors and helping a lot of regions who truly can benefit from reaping real rewards for the work they have dedicated their lives to, perhaps in countries which simply cannot pay them enough to put food on the table otherwise.

This is great and I always want to support this.

But.

It has been a long time frustration of mine that a lot of the content being written is... well, unnecessary.

Should a blog be necessary in order to get curation? Of course not. But that's when we're talking about a blog. What people write in STEMSocial is not so much a blog, but a wiki article. And I think we all agree this is simply not required nor is it desired reading. Much of the content writers are, for example, writing about a medical condition in this format:

Hello everyone!!
Intro: what is it?
Causes
Symptoms
Treatment
Conclusion
References

...

![image.png](https://files.peakd.com/file/peakd-hive/mobbs/23ydCAE9UYJAi9UsDAMtoDo4SnNKn4ScD8s9jryX5r7RS2LaNby2FGCikrsGFxEYEDsni.png)

We are not an academic journal, a research publication or anything but a blog, and I have to remind myself and others that our goal is simply to bring STEM subjects into the light with a more personal touch, encouraging professional academics to appeal to the masses, and bring scientific literacy forward.

This is not going to be accomplished by making your own wiki or WebMD articles, when those things already exist. However, we also don't want to pander to the clickbait BS, where only the craziest discoveries are heard on LADBible or whatever. A fine balance where all science is represented, is key.

So here is my own hypothetical blog giving a little bit of wisdom on what I think will create a much richer outcome, a more enjoyable writing experience, a better environment for academics, nerds, or just curious people to learn, share, and bring people into. Better yet, perhaps, more enthusiastic curation will soon follow.

I will be sharing this post in the comments of various posts which I think are guilty of these issues.

To be clear though, these views are mine, not an official statement from STEMsocial.

1: Get rid of the Wiki and WebMD mindset

Like I said, nobody realistically cares about a re-worded wiki page, and nobody is 'Hiving' their symptoms when they feel a lump on their neck.

Your best bet is to get rid of that mindset entirely and remember: it's a blog!

2: Figure out who you are as a writer

https://files.peakd.com/file/peakd-hive/mobbs/EoEpcoaHo1QvotbAnQUDtkn61APKtdx7FuUSV195MsiKVQVP99FFDRywN7rMrChA8KX.png

Like any art form, a blog should have character and personality. When I see art from Picasso, I know it's Picasso. Hell, even at a design convention I went to recently, each artist's stall had very distinct and unique style that they clearly spent years working on. I recognise the guitar tone or grizzly voice in a rock band, and an author of non-fiction is famous for their style and original concepts, too.

Blogs are no different. You need to figure out what your writing style actually is, and although STEMsocial is not an art community so we don't require Bukowski-esque poetry to explain an inflamed gallbladder, we do need to feel like we are connecting with the person doing the writing. Even news journalists writing opinion articles have their own sense of humour, sarcasm or writing style.

This is really important. People don't follow content, they follow the people behind the content.

If it was just content, people would consume it and move on to other content, creator be damned. In this sense, you are losing the battle against AI because you have nothing to offer that ChatGPT doesn't offer already, likely to a higher level of quality and greater speed.

You are a human - take advantage of that.

3: Discover all possible roads, and choose the most fascinating

Let's go back to that basic, dull formula above, but make a few changes. We will approach this hypothetical blog with the subject of tape worms, because why not, they're cute as AI is more than happy to demonstrate:

![image.png](https://files.peakd.com/file/peakd-hive/mobbs/EoK5qfguD9xZcd5KLsX3baFqY8QEkW7cAGg7q5jBiuEiVk7TBahjnvchW4BzjLAhaJ3.png)

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