Crypto has grown dramatically in recent years, both with individuals and businesses.

Unfortunately, cases of hacking, theft or fraud are constantly occurring.

Several notable events have highlighted the importance of cryptocurrency security:

In 2014, the exchange platform Mt. Gox suffered a massive hack resulting in the loss of millions of dollars in digital assets for the platform’s users.

In 2016, it was Bitfinex that suffered a similar attack, resulting in the loss of over $60 million in digital assets.

Recently, in the fall of 2022, we had the FTX case that brought back the famous phrase “Not your keys Not your coins”.

These events have highlighted the risks that users may encounter when storing their crypto on third-party platforms.

In addition, there are also cases of individual wallets being stolen due to the vulnerability of their own devices or their own lack of security.

In 2020, one cryptocurrency user lost more than $400,000 due to malware installed on their computer.

So crypto security is an issue. The security risks are real and can have significant financial consequences.

It is important to understand that crypto wallet are not designed to store assets, as these are stored on the corresponding crypto blockchain.

In this article, we will explore all the security measures you can take to secure your crypto and reduce the risks.

Securing your crypto wallet by wallet type

1/ Crypto custodial wallet VS non-custodial wallet

Wallet custodial

Here, a third party (also called custodian) is responsible for storing the digital assets on behalf of the user.

Custodians are typically regulated entities that provide crypto custody services to institutional or individual clients.

The best known today are the centralized exchanges (Binance, Kraken, Coinbase …)

They are often used to store large amounts of crypto, as they offer increased security over individual wallets.

They can provide physical and logical security for digital assets, as well as insurance against loss or theft.

Logical security is provided by advanced security protocols, such as two-step verification and identity management to protect accounts from hacker attacks or operator error.

When a user wants to access their funds stored in a custodial portfolio, they typically have to go through a rigorous verification process, such as identity verification and authorization validation.

Users may also be subject to withdrawal limits to protect against financial loss.

Security issues related to the crypto custodial wallet

Custodian risks: users must trust the custodian to store their digital assets securely. If the custodian suffers a security breach or negligence, users’ digital assets can be compromised.

Third-party risks: Custodians may also work with third parties to provide services (hosting, archiving), such as private key management and system maintenance. If these third parties are compromised, it can also put the security of digital assets at risk.

User Error Risks: Users can make mistakes, such as losing passwords or disclosing credentials, that can jeopardize the security of their digital assets.

Risks from hacker attacks: hackers may attempt to hack into the security systems of custodial wallets to gain access to stored digital assets.

Risks related to fraudulent activity: custodians may be targeted by fraudsters attempting to gain unauthorized access to digital assets stored in custodial portfolios.

Non-custodial wallet

Here, the user has full control over their digital assets. There is no third party involved, which means that the user is responsible for the security of their funds.

They are popular for those looking to maximize their anonymity and privacy, as they do not need to provide personal information to create a wallet.

They are often based on decentralized blockchain technologies, such as Bitcoin, Ethereum and other cryptocurrencies.

These wallets are available as mobile applications, desktop software or hardware wallets.

When a user creates a non-custodial wallet, they generate a unique private key that gives them full control over their digital assets.

? The private key is a security code that must be kept safe, as it is used to interact with the funds stored in the wallet.

It is important to remember that if you lose your private key or if it is compromised, you lose your crypto forever.

Users should be aware of the risks associated with fraudulent transactions, such as phishing attacks and fake websites that attempt to trick users into divulging their private key or personal information.

What is a key?

The “keys” of a crypto wallet are digital codes used to access stored digital assets.

Think of it as a kind of password or PIN code.

Two types of keys exist: private keys and public keys.

Private keys are secret digital codes that give users exclusive access to their digital assets.

Public keys are digital codes that identify the user’s wallet and allow access to it, but do not allow interaction with the digital assets.

Why use a key? To sign transactions and prove ownership of stored digital assets.

They are very important, as they are used to release funds stored in the portfolio.

If a user loses their private key, they can no longer access the funds stored in the wallet and they are considered lost

It is important to keep your private key safe to avoid the risk of hacking or theft.

The concept of seed phrase

Also known as a “recovery phrase,” the seed phrase is a randomly generated set of words, usually 12, 18 or 24, that can be used to recover a lost or damaged private key from a cryptocurrency wallet.

The seed phrase is also called the “recovery mnemonic” or “backup phrase”.

When a user creates a new crypto wallet, the wallet generates a private key and a seed phrase.

If a user loses their private key or their device is damaged, they can recover their digital assets by entering the seed phrase into a new wallet.

Different types of crypto wallets

Using the right type of crypto wallet plays a crucial role in the security of a user’s digital assets. To optimize security, it is important to understand the different types of portfolios available and choose the one that best suits your needs.

The paper waller

A paper wallet is a way to store your digital assets on a physical medium, usually in the form of a sheet of paper containing the information needed to access your funds.

Unlike online wallets or wallets on a device, it is an “offline” way to store your private keys.

How to create it? Users generate a pair of private and public keys, which they print on a physical medium such as paper.

Users can then transfer their digital assets to their paper wallet using the public address of their wallet.

Although paper crypto wallets are considered extremely secure because they are “offline”, they can be lost or damaged and are not as convenient as online digital wallets.

The digital portfolio

A digital wallet stores the private key locally on the device, encrypted by the chosen password.

They are often convenient and easy to use, but can be vulnerable to security risks related to private key management.

The best known are MetaMask and TrustWallet, their main advantage is the ease in interactions between crypto-currencies and your wallet.

The online wallet

The online crypto wallet allows to interact with the database of the service provider (Binance, Kraken …). Its main advantage is the ease of use, but it is still subject to hacking from the gatekeeper’s platform. Private keys are in the possession of the custodian only.

The use of this type of wallet nevertheless implies an identity verification (KYC: Know Your Customer) and consequently an end to anonymity.

The physical wallet.

Also called the “hardware wallet”, this wallet is an electronic device dedicated to the storage of private keys.

Hardware wallets are considered very secure because, the private keys are stored offline on the device and can only be accessed by the physical user of the device.

They are often equipped with advanced security features, such as password protection and firmware integrity checking. They are more expensive than other types of portfolios.

The best known physical wallets are Ledger and Trezor, the main advantage is the security, since it will require manual and physical validation actions during transactions.

Hybrid portfolio

In concrete terms, it is a physical wallet associated with a digital wallet (or “hybrid wallet” in English).

This solution combines the advantages of physical and digital wallets. They allow users to securely store their private keys on a dedicated electronic device (physical wallet), while offering the convenience of a digital wallet for everyday transactions.

Discover our article on our FAQ to link your physical wallet to a digital wallet (Metamask).

Keep your keys to protect your crypto wallet ?

Here are five common options for saving a recovery phrase

Local backup

Users can store their recovery phrase locally on their device, preferably encrypted. This option may be vulnerable to malware attacks.

Online backup

Users can store their recovery phrase in an online password database such as Bitwarden, Dashlane. This option offers increased convenience and accessibility, but can be vulnerable to online security risks.

Paper

Users can write their recovery phrase on a piece of paper and keep it in a safe place (personal safe/banks, notaries, trusted third party). This option may offer increased security, but may be vulnerable to loss or physical damage (fire, flood …) as well as theft.

Physical Support

Users can store their recovery phrase on dedicated physical media, such as a Cryptosteel, Cryptotag or Billfodl. This option provides added security against physical damage, but does not prevent the risk of loss or theft.

Secure USB key

Users can store their recovery phrase on a secure USB flash drive, such as the Corsair or Apricorn flash drives, or secure a standard flash drive with utilities (Bitlocker …). This option offers increased security against theft by setting a password to access the contents, but does not avoid the risk of loss.

Galeon’s opinion ✅

Hardware crypto-currency wallets are generally considered the most secure.

Private keys are stored offline on the device, making them less vulnerable to being hacked by the device in use.

Hardware portfolios are equipped with advanced security features, such as password protection and firmware integrity checking, making them difficult to compromise. Also, they are convenient for everyday transactions, as they can be connected to a computer or smartphone to allow for secure crypto-currency transfers.

Do your own research before investing in a cryptocurrency or blockchain project. Look for information about the team members, their experience and work history. Be wary of investment offers that seem too good to be true. Promises of high returns in a short period of time are often a sign of a scam.

Never share the recovery phrase with others. The recovery phrase is the key to your digital assets and should be protected as such.

Before storing the recovery phrase, test it to make sure it works properly. If the recovery phrase is incorrect or incomplete, you may lose access to your digital assets.

Regularly check the integrity of the media used. If you use multiple storage media, make sure the backups are consistent and up-to-date.

Use multiple storage locations: For added security, store the recovery phrase on multiple identical storage media. The support can be entrusted to a third party in addition to a support at your home for example.

By following these security practices, you can avoid losing your recovery phrase and keep your digital assets safe. It’s important to take the time to consider which storage method is best for your situation and take steps to protect your recovery phrase accordingly.

This article provides an understanding of the world of Artificial Intelligence (AI) in general and the learning methods with which it is developed.

First of all, let’s remember the very concept of Artificial Intelligence, a technology programmed in such a way as to be able to carry out actions in an autonomous way. All inspired by the learning methods of us, human beings.

Many of us still see it as a concept that is far too abstract or idealized compared to the real benefits it could bring us.

Yet in a number of fields, such as medicine or ecology, AI can change everything.

But rather than trying to convince by citing impactful AI projects, or crypto AI projects that make sense, let’s look at the subject from another angle.

Let’s try to understand how AI machines work, globally, and on which learning method they are based. Let’s also try to take a look at the different branches of AI, like machine learning or robotics.

As you can see, AI is a very specific technology, which can be divided into sub-categories according to its application and learning methods.

Understand the different categories of Artificial Intelligence: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and super AI

First of all, we distinguish a type of AI according to its ability to think like a human being or not.

From there, we distinguish 3 categories: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and super AI.

Artificial Narrow Intelligence(ANI)

It is used to perform simple tasks. Works according to algorithms programmed by humans. Here we perform a predefined task. No autonomous thinking for this type of machine.

Example: Apple’s Siri voice assistance, Google Assistant or Amazon with Alexa. These use AI for voice commands and provide users with appropriate responses. There are still examples in fraud detection or machine translation.

Artificial General Intelligence (AGI)

In this context, AI has the ability to think and make decisions like a human. With the precision that for the moment, there is not yet a strong AI.

Hypothetical example: an AI capable of solving problems that humans cannot solve such as scientific or mathematical reasoning.

A debate exists about the very possibility of its existence with 2 distinct schools. ?

The super AI (ASI or Artificial Super Intelligence)

We are here in a science fiction scenario, the super AI refers to the fact that an AI surpasses the intelligence of human beings with all the theories that this entails.

Learning methods at the heart of AI machines

A. Machine Learning: exploring essential learning methods

Machine learning is the part of AI that allows machines to interpret, process and analyze data to solve real-world problems.

In short, a lot of data is given to a machine to digest so that it can then analyze it all.

Machine learning has different learning methods programmed according to: supervised learning, unsupervised learning and reinforcement learning.

1/ The supervised machine learning method based on labeled examples

Here, computers must perform specific tasks from examples that have been labeled (training data).

Example: on image recognition.

The idea being that the machine can determine if the image it is shown, belongs to the same category as those it has been shown in previous examples. ?

If we take the example of cat images, we will first show thousands of images labeled as “cat” to this computer. The latter then analyzes these images and learns to identify the characteristics that distinguish them from other animals.

Once the computer has learned to recognize cat images from these examples, it will be given new images, images never seen before. Then we’ll ask it whether or not it’s a cat image. ?

The computer then uses what it has learned from the examples to make a prediction.

2/ Unsupervised learning by comparison

Unsupervised learning is opposed to supervised learning, as the machine will not use labeled examples to perform its analysis.

He will proceed by comparison, according to the characteristics of the various elements.

Example: image segmentation. The goal is to be able to group similar images according to their similarities, without having a pre-established answer.

Very useful in recommending products on the internet for example or on apps.

3/ Reinforcement learning method, the experience

This form of learning corresponds to the one that we finally find in human beings. Thus, we rely on experiences and interactions with the environment.

In the same way, the computer explores decision making or commands, it receives either a reward or a penalty depending on its choices.

The goal being of course, that the computer advances by collecting the most rewards and thus, improve its future choices.

B/ Deep Learning: learning that dives into neural networks

Deep learning is a subcategory of machine learning that uses artificial neural networks to process more complex data and deeper models.

In short, deep learning is a more advanced and powerful machine learning technique, capable of analyzing more complex data using deeper and more sophisticated neural networks.

It is the image of a child in the process of learning who first learns the shapes. And who, little by little, uses what he sees and understands to make constructions from these forms (to see what works or not).

Thus, with deep learning, a virtual neural network is developed on large data to obtain information and create new solutions.

As these virtual neural networks explore more layers, the data becomes increasingly complex to analyze.

C/ Learning from natural language processing

AI learning will be based on the scientific method of learning from natural human language to create machines capable of communicating, and ultimately developing businesses

D/ Other branches of AI: robotics, expert systems, fuzzy logic

Without going into detail, these other learning methods include

• Robotics which is the application of AI on robots;
• Expert systems that take over the expertise of a human being in order to develop a specific thinking capacity;
• The fuzzy logic technique, a way for computers to understand things that are not just “true” or “false”, but can be a bit of both. It helps machines make decisions closer to those we humans might make in somewhat complicated situations (e.g. medicine).

In short.

1. There are two main types of AI: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI). Narrow AI is designed to perform specific tasks, while General AI can think and make decisions like a human (doesn’t exist yet). The “super” AI is a 3rd hypothesis of type of AI, a bit science-fiction, which exceeds human intelligence.
2. There are several branches of AI including machine learning, deep learning, natural language processing, robotics, expert systems and fuzzy logic.
3. There are three learning methods in machine learning: supervised learning, unsupervised learning and reinforcement learning.

While we were just getting out of the torrent chatGPT torrent that flooded absolutely all our social networks, it’s Google’s turn to bring out its joker card.

Indeed, Google introduces itself with Google Bard (“Bard” for friends).

A tool to exploit the advanced capabilities of what is called generative AI, Artificial Intelligence generating content.

No need to go back to the conference given on this occasion on February 8, 2023 (“Google Live from Paris”) and the few setbacks that were noted, but let’s rather try to understand the added value of Bard.

In addition to its mode of operation, we will also study its position in relation to other projectsof Artificial Intelligence, especially in the field of medical AI.

1/ Google Bard, the generative AI revolution according to Google

Before we give you a taste of what Google Bard will be like, let’s first go back to the concept of generative AI.

A. Generative AI, artificial intelligence at your service

If you’ve ever dreamed of being able to conjure up just about anything you wanted with a magic wand, well, generative AI is pretty much all of that (to some extent, of course). ?

Like an artist, a generative AI creates new things, all by itself. In this case, it generates content.

Generative AI is therefore a kind of computer program that uses rules and examples found from a database to create new content, such as images, music, text or even voice.

Using these rules and examples, generative AI can create things that no one has ever seen before, like a new song or a new picture.

Imagine that you give instructions to a robot to draw a cat, but you don’t give it an example to copy.

Instead, the robot uses rules to draw a unique cat, as if it were creating a new cat from scratch.

Generative AI works the same way, except that it follows rules in order to create new things.

B. How does Google Bard’s generative AI work?

Bard is a computer program based on search engine technology.

1/ Bard, a smaller version of the LaMDA

Google Bard is an adapted version of another technology called LaMDA (for Language Model for Dialogue Applications).

This is a combination of conversational neural language models trained on over 1.56 trillion words (million billion)*.

*1.56 trillion words can also be expressed in “petabytes”. Knowing that a byte is a computer storage unit containing a single character, such as a letter or a number. A petabyte is equal to one trillion bytes, which is equivalent to 1.56 trillion words.

To understand this last concept, just imagine a teacher teaching a computer how to receive all the information given by a human.

A sort of decoder capable of understanding both the words expressed and the questions asked in order to answer as naturally as possible.

Bard is trained from the “Infiniset” database.

The latter is nothing less than the backbone of Google Bard, composed of a multitude of data coming for example from dialog boxes or public forums, web texts, C4 data (graphic technique allowing to understand the functioning and the architecture of software)… etc.

2/ The added value of GoogleBard?

At this point, it’s not really clear whether or not Google Bard competes with other generative AIs like chatGPT.

The project representatives argue that this AI will allow for much more up-to-date information to be indexed, analyzed and reformulated in even more precise ways.

What is certain is the ability that Google Bard offers as a tool for understanding natural language with great accuracy.

In this sense, Google Bard innovates in the field of speech synthesis, not requiring repetition or rephrasing from the user.

3/ Google Bard, AI accessible to the public

It is important to note the difference between Google’s generative AI and OpenAI’s, which aim to answer questions based on data that may or may not have been initially validated, from an AI specifically designed to solve technical problems.

We are thinking in particular of all the emerging projects that develop AI for prediction models, for example, in the insurance, finance or meteorology sectors.

Google Bard is there to answer questions based on supervised learning.

In the medical field, for example, it would be ridiculous to simply rely on Google Bard to get answers or make diagnoses.

While medical AI, as developed by Galeon for example, will enable new problems to be raised from a set of highly structured and specific data.

Thus, in the long run, this technique called blockchain swarm learning will help advance medical research.

Conclusion

• Google Bard is a new generative AI developed by Google based on search engine technology (a scaled down version of LaMDA).

• This technology can understand and respond to natural language more accurately and efficiently.

• The Infiniset database is the backbone of Google Bard.

• It is important to differentiate generative AI from other AI that aim to solve technical problems, such as the medical AI developed by Galeon.

• Google Bard is an innovative tool for answering questions in a more natural and fluent way, opening new perspectives in the field of speech synthesis and natural language processing.

Ocean Protocol, Exec RLC, Cortex, Fetch.ai…etc, crypto AI crypto are not new.

They embody that part of the crypto generation that uses both AI and blockchain technology to develop decentralized applications and systems.

On the one hand, blockchain is used to support the storage and transfer of data in a secure and immutable way.

On the other hand, we use Artificial Intelligence (AI), that field of computer science where we create systems that function autonomously thanks to the training of algorithms.

Concretely, what kind of applications can be found in crypto AI projects?

Although their functioning raises technical questions, we can for example find an example of application among the models of weather prediction, or finance and sports.

Using blockchain and AI in this context allows to accelerate transactions and to provide more transparency to users.

In short, elements that could be of great interest to you if you want to invest in what is and what will be the trend*.

*As such, you have certainly already heard of conversational AI chatbots such as chatGPT or Google Bard, or image generators such as Midjourney.

So let’s discover together 9 crypto AI projects that are revolutionizing the blockchain and more generally, the world of tomorrow.

1/ OCEAN Protocol’s crypto AI project (OCEAN)

? Purpose: AI crypto project that enables the exchange and monetization of data between individuals and/or businesses in a secure and private way.

The protocol is built on a blockchain, which means:

• more transparency;
• better data traceability;
• assurance of user privacy.

This new form of decentralized economy advocates free access to the platform’s services, reduced transaction costs and the idea that it is not necessary to go through an intermediary.

Since its creation, a few years ago, we have seen a great progression. To be seen in the long term.

Market cap:among the top 250 crypto-currencies ($980 million).

Daily exchange volume: $75 million.

2/ SingularityNET (AGIX) is building an AI ecosystem

? Purpose: The project is based on blockchain to create a decentralized and secure marketplace for Artificial Intelligence application models.

Thus, developers have access to a multitude of AI algorithms.

The idea is to invite them to contribute to the construction of an open, transparent and collaborative AI ecosystem.

On the other side, we find the users of the platform, who can benefit from the services generated as a result of the work of the developers. All of this, funded by AGI tokens.

As a reward, developers receive Loyalty Rewards.

Market cap: $314 million.

Daily trading volume: $1.5 million.

3/ Fetch.ai (FET) for AI and connected objects

? The purpose: using blockchain technology, Fetch.ai wants to build the application universe of Artificial Intelligence and the Internet of Things (IoT or connected objects).

Let’s also add this other foundation, which is to facilitate transactions and exchanges between users, thanks to autonomous agents.

These are created by developers, and made autonomous using machine learning.

Thus, they can make decisions independently to perform specific tasks.

In the end, we must have in mind the image of the concrete application of AI in our society (e.g. finance, logistics, smart cities, health…etc).

To use the platform, you will have to pay in FET and in return you will have the right to take part in decisions concerning the platform.

Market cap: $132 million.

Daily trading volume: $6 million.

4/ Numeraire (NMR) for prediction models

? Purpose: development of Artificial Intelligence prediction models to predict movements on sports results, weather or financial performance …etc.

To do this, Numeraire will use, on the one hand, the techniques of machine learning (automatic learning) techniques. This is intended to improve predictions.

On the other hand, the project will rely on the blockchain to both: secure the data transaction; ensure their traceability; guarantee the confidentiality of users.

Another great example of a crypto AI project on creating a decentralized marketplace for prediction services.

Market cap: $41 million.

Daily trading volume: $3.5 million.

5/ DeepBrain Chain (DBC) and decentralized AI markets

? Purpose : DeepBrain seeks to address several issues encountered in centralized AI markets.

Thus, in the context of a decentralized market, and without questioning the security of AI markets, DeepBrain manages to reduce service costs.

Blockchain will also be used to ensure the transparency of exchanges, while protecting the confidentiality of users.

To access DeepBrain’s AI services, you’ll need DBC tokens.

Market cap: $19 million.

Daily trading volume: $500,000.

6/ Galeon (GALEON), medical AI and machine learning

? Purpose: Galeon is presenting itself as the solution in terms of medical AI for the next few years.

On the security aspect, in the storage and transfer of medical data, Galeon uses its own blockchain.

With the precision that patient data are kept by health professionals and researchers in respect of consent.

There is also the use of AI in combination with blockchain swarm learning technology.

The idea is to be able to use medical data efficiently and to advance research.

To invest in the project, simply choose one of the solutions available on the website:

• Staking programs;
• Vesting programs.

The strength of the project lies both in the support of its community (notably composed of people from the medical field), and the very topical subject of medical AI and the future of healthcare.

7/ Iagon (IAG ) and its decentralized marketplace

? Purpose: Iagon wants to create the decentralized marketplace in data storage, and all using blockchain and Artificial Intelligence.

To ensure that this storage is of high quality, the project also uses machine learning to optimize data processing; and networks of decentralized nodes to ensure the scalability of the platform.

In this organization, we find the different actors:

• Those who provide storage capacity, the storage providers;
• And those who will use this storage capacity, the storage consumers.

In addition to this collaboration, users can benefit from other AI services such as machine learning, data analysis, etc. In short, data-driven operations that are optimized.

Market cap: $2.5 million.

Daily trading volume: $10,000.

8/ Cortex (CTXC)

? Purpose: allows platform users to benefit from AI services and other tools such as machine learning especially to improve prediction models (e.g.: that we use in image recognition, text classification or fraud detection…etc).

The blockchain side ensures security, user privacy and transparency of the data exchanged on the platform.

The most of this AI project? Make available resources such as machine learning to enable developers to accelerate the development of their AI models, while reducing transaction costs.

Market cap: $49 million.

Daily trading volume: $6 million.

9/ Exec RLC (RLC), the meeting between developers

? Purpose : This blockchain optimizes the meeting between developers to create and exchange AI models. All this, against a backdrop of exchanging computing services.

Again, blockchain is used to ensure security, transparency and privacy for users.

Market cap: $384 million.

Daily trading volume: $38 million.

Conclusion

It should be noted that the crypto market is highly volatile and crypto-currency prices can fluctuate significantly based on market supply and demand, as well as external factors (e.g., government regulations; blockchain and/or Artificial Intelligence related news).

Therefore, it is important to be cautious when investing in crypto-currency projects and to conduct a thorough study before making any investment decision.

If you are interested in AI (Artificial Intelligence), you may not need an introduction to chatGPT. You have probably already been able to test “the beast”.

Before this chatbot invaded the Web3, you could still use it freely.

From now on, you will have to pay for it.

The age of AI is upon us, and whether it’s chatGPT, Google Bard or others, it will become obvious in the coming years to turn to these tools to make our lives make.

In the medical field, we can imagine the following scenario: you are sick and rather than wasting time trying to find a doctor, make an appointment and then go to the pharmacy, you decide to turn to chatGPT.

Finally, you find the answer given convincing and you manage to get an “alternative” treatment.

The conclusion of all this being that you have saved time with AI for a situation that does not require you to turn to a health-care professional.

ChatGPT info

With a bit of hindsight, it is true that chatGPT has some very interesting features.

It is part of this form of AI capable of generating targeted information from a query.

ChatGPT has been tested to determine the quality of diagnoses made on patient case studies.

But let’s temper our words a bit.

First of all, let’s remind that chatGPT is not an AI, in the strict sense of the term.

Although it is often referred to as a “conversational” AI, chatGPT is not an AI and cannot be considered a medical AI.

Therefore, it will not replace your doctor.

In this regard, we will see that the solution proposed by Galeon is the future of medical AI and more generally, of health.

The “birth” of chatGPT, operation and versions (GPT-3)

ChatGPT is not an AI

In reality, it is a combination of AI tools.

ChatGPT is a chatbot tool created by the company Open AI and launched in November 2022, in its most advanced version.

It uses AI to sort through a multitude of data validated or not by individuals. It is the combination of all these tests that allows chatGPT to provide you with a final answer.

It relies on supervised learning (from existing knowledge) and on so-called reinforcement learning (conclusion from experiments).

The different versions of chatGPT :

• GPT-1, launched in 2018, is a light version of the current tool, proving the operation and future potential on a wider panel of data;
• GPT-2, launched in 2019, a version with more parameters added, more data ;
• GPT-3, the latest one, which demonstrates an impressive ability to answer ever more complex queries, ever more quickly and in structured text form.

Why chatGPT, Google Bard and others, will not replace your doctor

What chatGPT lacks in terms of AI

As mentioned before, chatGPT answers your questions from its “learning”.

However, this does not take into account sensitive patient data, or even the emotional or relational aspect that the doctor may have with his patient when he performs a consultation.

? Typically, ChatGPT will not ask you (at least, for now), your pain feeling on a scale of 1 to 10. Now, each patient holds his or her own vision of pain. The feelings are not the same.

What Watson, Tay and other AIs were missing

ChatGPT is not there yet, and for the other AIs that have tried before, the results are rather disappointing.

The case of IBM Watson

One example is the AI program IBM Watson, designed by the company IBM in the late 1990s.

Initially developed as a conversational tool, the program failed several tests, including the Turing test. It is then found to be potentially useful in the medical field.

Unfortunately, the limits of this medical AI were quickly seen, as the data was limited to the circle of studies and reports from professionals in the field.

However, a number of these published studies lack objectivity and controls.

This will imply later on, the questioning of the answers given by Watson.

The Tay case

There was also the story of Tay, developed by Microsoft on the Twitter network (2016).

Without going into details, we quickly realized the limits of this program considering all the drifts that could occur.

With very little control, the chatbot’s responses backfired, inflicting a curtain call.

As a conclusion of all these experiences, we realize how important it is for this type of AI to be supplied with quality data, at the source (raw structured data).

And we can tell you, this is exactly the vision adopted by Galeon in terms of medical AI.

Galeon, the reference AI in medical matters

Galeon is without a doubt, the reference for the years to come inmedical AI.

their consultations or the creation of patient files.

Galeon is also medical AI that will generate very precise answers thanks to a structured database and blockchain swarm learning (a form of machine learning).

In this dynamic, it is certain that Galeon will support the decisions of health professionals.

Where chatGPT or any other similar form of AI will be limited to mere avenues of thought based on more or less shaky data and outside the realm of patient data, which is far too sensitive.

However, without this, it is impossible to envisage a serious approach to any medical assistance from AI.

Introduction 

More than a trend to serve the interests of the cryptosphere, the blockchain for good movement is this new generation of entrepreneurs who want to use blockchain technology for the purpose of serving social good. 

Just like the NFT for Good this specific category of NFT is used to finance and bring visibility to good for humanity projects (e.g.: “encapsulate your will”): encapsulate your will).

So how can blockchain work for social good? How could blockchain be the key to sustainable development?

The objectives of blockchain for good, the Sustainable Development Goals 

Everyone knows what sustainable development is, but without really knowing what it represents. 

According to the first definition given in the 1987 Brundtland report, sustainable development is “development that meets the needs of the present without compromising the ability of future generations to meet their own needs. 

And to resume with these two inherent concepts that are : 

• The most basic needs for the most disadvantaged people.
• And the use of certain techniques with their limits to achieve current and future needs. 

In 1992, the term will be used at the Rio de Janeiro summit. 

It is then explained that sustainable development is presented in the form of across-architecture between three pillars: the environment, the social pillar and the economic pillar.

Therefore, how can blockchain allow these 3 objectives to be achieved while taking into account their different aspects: viable, livable, sustainable, fair? 

The idea behind a blockchain for good 

Thus, a project qualified as blockchain for good is a blockchain project that initiates a movement towards one of these goals.

Projects have been flourishing in recent months, some in the environmental and climate field, others in the field of supply chain or agriculture, etc. 

Other sectors are also targeted, such as the health sector with Galeon (see below). 

The number one asset of blockchain technology is that it allows data to be transacted quickly, securely and transparently (in the sense of transparency and traceability). 

This last argument can largely favor the realization of a sustainable development. 

Transparency and traceability 

With more insight into the traceability of multiple data transactions in a given sector, several issues can be addressed. 

For example, consumers would have better knowledge of the products and services they purchase. 

Apply this blockchain for good to the supply chain, it is possible to specify the origin of a product, to control its composition and its mode of conservation.

This can reinforce “consume local”, limit food waste, limit fraud and reduce CO2 emissions. 

In the energy sector, we now know that the supply is mostly centralized. 

However, at certain distances, there are inevitably losses according to the more or less distant zones.

Energy losses that could be avoided by evaluating the distribution at any given time(who consumes what, and who consumes the most?).   

On the same theme, we could imagine a traceability in our way of recycling. 

At the international level, it would be possible to control the application of certain treaties or regulations by the signatory States and Institutions. All protected by smart-contracts.  

And then, why not go even further with greater transparency in the distribution and use of donations by NGOs, associations and other charities.

There are many examples of applications of blockchain for good. 

What type of blockchain? 

Blockchain for good projects either use existing blockchains (e.g. Bitcoin or Ethereum). 

Others are developing their own blockchain. This is what we do with Galeon.  

Galeon, medical AI and blockchain for good 

Galeon is part of this Blockchain for good movement. 

With its unique concept of medical AI, using blockchain technology, Galeon is revolutionizing the future of medicine.

A medicine that wants to be 100% personalized according to the patient’s profile; a medicine where medical research does not simply depend on financial contributions, but rather on collaboration between the different actors of the medical sector with structured and, above all, protected data (…); a medicine that wants to guarantee equitable access to care and to the management of each patient.

Learn more about it.

The art of divination, which was also attributed to oracles in the old times, is not so different from the mission given to oracles in the blockchain technology.

Indeed, in this context, oracles are tools used to consolidate already existing data, with third party information such as bad weather, random events, or prices…etc. 

They are therefore steering channels with an impact on the realization or not of actions both on the blockchain and in the real world.

This type of tool is increasingly found in areas such as insurance, connected objects (IoT), and in crypto. 

A good example is the annual insurance premium, whose price depends on predefined risks. 

But then, why does the blockchain need information from oracles? And what are the concrete applications of oracles in our daily lives?

Blockchain limits and oracles

The blockchain technology allows to process data in an encrypted and secure way.

Nevertheless, there is a problem with the supply of data, which has some limitations, for security reasons.

Indeed, the blockchain does not feed itself directly with data from external networks (off-chain).

This is precisely because the blockchain is characterized by its ultra-secure aspect.

It is therefore necessary to limit as much as possible any direct contact of the blockchain with the real world. 

And considering the infinite number of data that circulate and that we need (health, finance, services… etc), it is impossible to process everything in record time with a simple shield.

So, which system should we use? And why do we need so many variables in the processing of information? 

Oracles, blockchain partners

Data and its variables, a necessity to take into account

Without variables, it is impossible to consider all possible eventualities in a given case.

It is impossible, for example, to condition a choice on the occurrence of a particular event.

And without conditions, without options, how can you diversify your offers? How can we take into account the various needs?

(For example, should we treat all people with the same pathology in the same way? No, because each individual is a separate being with different characteristics). 

That’s why it’s important to bring this supply of data to blocks with these differential elements. 

Now, why not transmit these variables directly to the blockchain? 

The blockchain works like this: before being able to enter a block and be accepted on the blockchain, each piece of data must go through a validation test, by means of the network members. 

Smart-contract are tools that allow to trigger an action on the blockchain, according to the information they receive. 

In this case, if all the signals are completed, the action is activated. 

But in order for the variable to get that far, we need to be able to ensure this transition from the real world to the blockchain.

This is where the oracle comes in. 

Oracles, complementary data distribution channels

The oracle will allow to connect the real world to the blockchain. 

However, an oracle is not a direct provider. It does not provide information directly.

Before that, it collects, queries, verifies and authenticates external data from several sources.

The image one must have in mind is that of a bridge or a broadcast channel. 

An oracle is, in short, a technological tool that provides variables from the real world and integrates them into smart contracts.

They act as APIs (application programming interface) giving an access point from the blockchain to the real world (and vice versa).

Oracles and their different types

In-bound oracles: they provide off-chain data from the real world to the blockchain.

Out-bound oracles: they bring blockchain data to the outside world.

Thus, in one way or another, oracles participate in the sending and secure transfer of data.

Centralized oracles 

In another register, we find centralized oracles that rely on only one data provider, and focus on only one smart contract.

and decentralized

Conversely, decentralized oracles interact with multiple data sources without being controlled by one entity. 

Other forms 

Oracles can be physical persons, trusted individuals. Imagine, for example, a group of several people, who have to attest the realization or not of an event.

In this case, we find consensus oracles (the information will be accepted according to the number of people who voted); 

Hardware oracles and software oracles: the data is processed in a database, in the cloud, or in connected objects.

This is the example of the sensor present on the soccer fields, in order to capture the weather elements.

In short, different forms that will have an impact on the consolidation of information.

Some issues related to oracles  

What would happen if one of the oracles were to be compromised? Or that the channel of diffusion had been disturbed by some event? 

One can imagine that if the oracles are trusted individuals, the risk is that one of them is no longer reliable. 

In this case, we can imagine that the person will have to leave the network.

On the blockchain level, however, the smart contract associated with this oracle is in the front line. 

The risk is still higher when it comes to centralized oracles, because it is easier to reach a single target.

Oracles in real life

In the real world, applications are diverse, especially for services that depend on variables.

Take for example, the case of agricultural insurance or insurance in general.

Oracles will be able to attest in real time, weather conditions, the reasons for a train delay…etc. 

In DeFi, we could take the example of a person who only wants to buy an asset if it reaches X price. 

With this condition that the smart contract will only set up the purchase process if price X is reached. 

The oracle will come and confirm the price X at the moment T. And the smart contract will be able to set up the purchase.

Conclusion 

Oracles are therefore interesting tools, even essential depending on the set-up of a particular technology.

They participate and allow the communication between the real world and the blockchain. 

The realization of actions will depend indirectly/directly on all the variables provided and analyzed at this level. 

Nevertheless, their protocols must be strictly established, with all the necessary security. 

 The aim of this article is above all to simplify technical concepts related to crypto-currency, in order to make them accessible to everyone. These words engage only their author. It is not intended to advise the reader on his investments.

We can’t say it enough, but beware of crypto scams!

No one is infallible and everyone is susceptible to succumbing.

Hacks, NFT Rug Pulls, crypto scams, fraudulent investments, fake romance (scam romance), copycat…

According to the FDC (Federal Trade Commission), no less than $680 million will be lost to crypto fraud in 2021.

That is 423% more than in 2020.

And guess what, we’re already at $329 million for the first quarter of 2022 (Q1) alone!

A great performance, indeed…

What to remember? On the one hand, that things are not getting any better, and on the other hand, that this is only the tip of the iceberg.

Indeed, only a small percentage is recognized as such.

To learn more about how to detect crypto scams, it’s this way.

For the rest, we have prepared a top of the crypto scams that have left some marks with the crypto community.

OneCoin – the CryptoCoin is going down the drain

A scam model that works quite well in the financial system is the Ponzi pyramid .

The principle is simple: reward investors with the money of newcomers until the resources are exhausted.

And of course, without forgetting to leave with a well-stocked basket, then disappear.

This is exactly what the founder Ruja Ignatova also called “Cryptoqueen”, founder.

The latter disappeared in 2017 with an FBI warrant for her arrest in the amount of $100K.

Total: $4 billion evaporated.

BitConnect – the Gateway Hardware

BitConnect had built up quite a hype around its famous corner, the BitConnect Coin.

We can thank, by the way, a certain Carlos Matos, an investor who had oversold the project at a company ceremony in 2018, creating then the meme, the BitConnect Matos.

In short, some time later, the founder was suspected of being at the origin of a fraudulent scheme, again in the form of a Ponzi pyramid.

Total: $2.4 billion.

Thodex – under maintenance …

You know the myth of disappearing after going to buy the famous milk carton?

Well, that’s pretty much the story of Thodex, a Turkish crypto platform, headed by Fatih Ozer.

It all starts with the announcement of a 6-day maintenance period.

The 6 days will then turn into weeks, and then, nothing more.

Radio silence.

Total: $2 billion + an estimated 40,000 years in prison and nearly 400,000 people ruined.

FTX – pockets are meant to be filled

The latest one.

FTX was #2 behind Binance, weighing $32 billion at the time. Everything promised a bright future for the company, with renowned ambassadors, ensuring its continued existence.

Yes, but …

Several scams are going to be brought to light, all of them supposedly committed by the founder Samuel Bankman-Fried .

• The first was the use of FTX’s reserve funds to save another company it owned.

• The second, with repeated purchases of real estate in a region so well known to those who likes to play hide-and-seek with tax authority : the Bahamas.

All this cost FTX a lot of money as the cash coffers were simply emptied.

Chain reactions followed, including the sale of all their tokens by some large investors (to mention it, the CEO of Binance, Changpeng Zhao ).

A crash in the price and a blocking of withdrawals for most of the remaining customers.

Anyway…

And on top of that, the $447 million that was still to be saved was mysteriously stolen.

Total: the fall of the company and a tweet from the founder “I’m sorry. This is the most important thing. I screwed up, and I should have done better.”

Baller Apes – great promises!

To date one of the biggest scams on the Solana blockchain.

Baller Apes was the result of a nice project at the beginning, with the creation of a common wallet containing 500 SOL, airdrops, merch.

In fact, all social networks will be shut down, revealing that the investors’ wallets are directly linked to those of the founders.

Total: $2 million

Save the Kids – BA gone wrong

Crypto scams are as entertaining as they are despicable.

We change category with this supposed scam from influencers (mainly in gaming).

Let’s remember, moreover, that one of them, FaZe Kay a renowned gamer who had already been banned from fortnite for using a bot in 2019.

Beyond the drama and the accusations that have accompanied the various actors, we are still talking about a project that at the base was to allow the redistribution of earnings and investments for charity for disadvantaged children.

The technique used? Use their respective influence to push their subscribers to buy their newly created corner: the $KIDS.

This works perfectly, bringing down the price of the course.

A few technical elements to clarify that the team assured to have planned an anti-swimming mechanism to reduce the risks of massive resale of tokens.

Spoiler alert, it goes wrong: the code of the protocol is changed at the last minute with a resale of almost all the wallets of the latter.

Total: $30,000, and children who will never see the color of these donations.

Pincoin – trust the red flags

Just as in human relationships, one should never underestimate the first red flags when it comes to investment.

For Pincoin investors, it seems that the signals were not clear enough: a promise of ROI or return on investment of over 312%….

What’s next? Investors who walked away with over $600 million.

Pudgy Penguins – get the oars out!

Pudgy Penguins was one of the key NFT projects.

As the price continues to rise, the community invests, thinking they can take advantage of every opportunity.

In addition to this, the sale of merchandise to try to feed the project.

And … disappointment!

In January 2022, no action has really been taken, and again, the wallet of the founders turns out to be directly linked to the project.

$SQUID token – the game that never came

Playing with cultural trends is a great way to make money, as long as the trend continues.

Take for example the series Squid Game .

Investors were promised benefits and rewards on a pseudo video game being built.

Total: $3.3 million + scammers never identified.

Pixelmon NFT – the Pokémon didn’t ask for anything

Fan and supporter communities are the ones most likely to fall into the trap set by scammers.

For Pixelmon NFT, the promises were great: to merge the universe of Minecraft with that of Pokémons.

Yet a trailer promised quality.

Either the bar was set a little too high, or there was a bug along the way.

As a result, the quality of the graphics is very poor and the Pokémon are created in bits and pieces.

Special mention for the famous reproduction of Carapuce, nicknamed Kevin by the trolls.

So this was a look at some of the biggest crypto scams that have rocked the crypto-sphere in recent months and years. The list goes on, of course, but we’ll come back to that later.