The digital world is constantly under attack from hackers and cybercriminals, making cybersecurity more important than ever.
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The Crucial Role of Cybersecurity in Today's Digital Landscape

Ready to learn all about cybersecurity? Look no further than FreeCodeCamp! They'll teach you everything from network security to cryptography and ethical hacking, so you can start your journey to becoming a pro.

FreeCodeCamp: Your Cybersecurity Learning Hub

Cybrary: 
Imagine having industry experts as your personal mentors, guiding you through the ever-evolving landscape of cybersecurity. That's exactly what Cybrary offers – a vast library of courses, from beginner to advanced, to help you become a true cybersecurity master.

Cybrary

Don't let inexperience stop you! These websites are perfect for both beginners and experts. Use these free resources to hone your skills and stay ahead of cybersecurity changes. The world needs superheroes like you! Are you ready to join the fight? 👾🔒

 🌐 Take advantage of free websites designed for all skill levels 
 🚀 Improve skills and stay ahead of evolving cyber risks 
 🦸 Be a security superhero! Join the fight 👊 
 😎 Keep personal info 🔒 and #StaySafeOnline

"Become a Cybersecurity Superhero: Tips and Resources"

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In a world where digital threats lurk behind every firewall, the demand for skilled cybersecurity professionals has never been higher. The internet has become the battleground where hackers…

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5 Incredible Websites to Kickstart Your Cybersecurity Journey (For Free!) 2024

The more social media we have, the more we think we are connecting, yet we are really disconnecting from each other

5% to 10% of internet users struggle to control how much time they spend online.

Can't Log Off?

Different from substance addiction, the use of social media and the addiction to it's consumption and interaction, is considered a psychological addiction, much like an addiction to gambling and to porn.Although considered a psychological addiction, brain scans show a similar impairment in regions that those with substance dependence have. Specifically there's a clear degradation in white matter in the regions in charge of emotional processing, attention and decision making.

A Psychological Drug?

The current programming of most social media offers immediate stimulating rewards with very little effort. Therefore the brain rewires itself to account for this overstimulation.If your brain is the one going through this change, you'll begin to crave more of these neurological excitements.

More More More...

Studies have shown that when comparing heavy media users to others, they perform much worse at task switching tests.Heavy multitasking online actually impairs your ability to filter out interference and even decreases your brain's capability for commiting information to long term memory

Multitasking Fallacy

Have you ever felt like your phone vibrated when it actually didn't?You check for a notification because you felt a vibration or heard a ring, but nothing...This is a recent psychological phenomenon caused by our brains' rewiring due to heavy technological use.An itch ends up being interpreted as a buzz from our phones...

Phantom Vibration Syndrome

Since social media triggers the release of dopamine, scientist studied this, and they found that the reward systems in people's brains are much more active when they're talking about their own views.Around 80% of internet usage is about people posting about their own views, not listening, not sharing, but spreading their own ideas.

Your Life. Your Thoughts. Your Internet

While most people might think that relationships are likely going to be affected by all these downsides of social media, it has actually been found that a lot of relationships succeed when they begin online.What's the cause? You may ask...Well it's unclear, but it might be due to people being more open about what they want, since they're behind a screen and can disappear if it doesn't work out. It allows you to test the waters without getting too involved too quickly.Hence if you really know what you want and don't want, online dating could actually be a great tool to find a great match.

Are Relationships Getting Destroyed Or Built?

Social media is a community effort, everyone is an asset.

The effects of social media on your body and on society.

Your brain may never be the same!
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Further Reading--

Abnormal White Matter Integrity in Adolescents with Internet Addiction Disorder: A Tract-Based Spatial Statistics Study
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0030253

Phantom vibrations among undergraduates: Prevalence and associated psychological characteristics
http://www.sciencedirect.com/science/article/pii/S0747563212000799

Cognitive control in media multitaskers
http://www.pnas.org/content/106/37/15583.abstract?sid=113b39d8-d0b5-4f46-b2a5-362ee79d0b61

Amygdala Volume and Social Network Size in Humans
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3079404/

What is the role of dopamine in reward: hedonic impact, reward
learning, or incentive salience?
http://www.lsa.umich.edu/psych/research&labs/berridge/publications/Berridge&RobinsonBrResRev1998.pdf

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5 Crazy Ways Social Media Is Changing Your Brain Right Now

Ways in which social media changes brains and society

<ul><li class="ql-align-justify">In the 1960s, Joseph Weizenbaum created Eliza, a simple computer program designed to mimic human conversation.</li><li class="ql-align-justify">Despite its superficial understanding, users often attributed human-like qualities to Eliza, highlighting our tendency to anthropomorphize machines.</li></ul>

Historical Context: Eliza and the Perception of AI

<ul><li class="ql-align-justify">Identifying when AI systems have become conscious poses a significant challenge due to our limited understanding of consciousness.</li><li class="ql-align-justify">While AI may exhibit advanced capabilities and convincingly mimic human behavior, distinguishing genuine consciousness from sophisticated simulations requires a deeper comprehension of the nature of consciousness itself. </li></ul>

Sentience, Sapience and Consciousness

<ul><li class="ql-align-justify">Sentience: The ability to feel pleasure and pain and experience subjective phenomena (a dog feeling pain when injured).</li><li class="ql-align-justify">Sapience: The capacity for reasoning, abstraction, and complex thought, often associated with human-like intellect (a human solving a math problem).</li><li class="ql-align-justify">Consciousness: Being aware of one's own existence and experiencing emotions and sensations (a person reflecting on their own thoughts and feelings).</li></ul>When a model for understanding consciousness which can confidently verify that an AI possesses subjective experiences and self-awareness is built, then we may recognize it as conscious.

Seeming Human-like<ul><li class="ql-align-justify">Human-like Interaction: advanced AI, like ChatGPT, can seem eerily clever and creative, generating content that appears to reflect human-like understanding and creativity.</li><li class="ql-align-justify">Emotional Engagement: AI systems that engage with humans in ways that press emotional buttons reserved for other humans might lead us to attribute consciousness to them, even if they are not actually conscious.</li></ul>

Indicators of AI consciousness

Behavioral MimicryPassing the Turing Test: If an AI can consistently engage in conversation that is indistinguishable from a human, it might be considered as appearing conscious, although this is not definitive proof of actual consciousness.Complex Tasks and Problem Solving: AI that can handle complex tasks, organize activities, or generate creative content might be seen as indicators of consciousness.

Self-ReportingClaims of Internal Experience: An AI that claims to have an internal emotional life or subjective experiences might be an indicator, caution is advised against taking such claims at face value without objective verification.

<ul><li class="ql-align-justify">Today's advanced AI systems, like ChatGPT, demonstrate remarkable creativity and conversational skills.</li><li class="ql-align-justify">However, they fundamentally operate through predictive text algorithms, lacking true understanding or consciousness.</li><li class="ql-align-justify">These systems are essentially advanced forms of autocomplete, processing vast amounts of data to generate human-like responses.</li></ul>Update: new <a href="https://www.youtube.com/watch?v=ZJbu3NEPJN0">GPT 4o</a> features!

Current Capabilities

"We have no way of verifying Consciousness right now...we will shortly be building entirely convincing mind-like things that touch our emotions that we trust, decades, maybe even centuries before we can confirm or deny whether there's any feeling or understanding or thinking going on in there."

The future of AI could diverge in two primary directions:<ol><li class="ql-align-justify">Complex Yet Centralized Systems: If the resource demands (e.g., water and cooling for GPUs) remain high, AI development may slow, leading to centralized, specialized systems.</li><li class="ql-align-justify">Distributed and Simplified AI: If AI technology becomes more efficient and scalable, we might see widespread, decentralized AI systems, capable of influencing various aspects of daily life.</li></ol>

Potential Futures: Two Scenarios

AI alignment problem is addressed by ensuring that AI systems' goals are consistent with human values and interests.This involves:<ul><li class="ql-align-justify">Ground Rules: Implementing strict controls, such as physical air gaps to prevent AI systems from accessing the outside world.</li><li class="ql-align-justify">Assuming Trickery: Always assuming that the AI might be trying to manipulate or deceive, given its superior intelligence and creativity.</li></ul>

The Alignment Problem

<ul><li class="ql-align-justify">Verification and Caution: Not trusting the AI's intentions without rigorous verification and offering to turn off the system if necessary.</li><li class="ql-align-justify">Avoiding External Connections: Preventing the AI from making any arguments for its release or external connections to safeguard against potential threats.</li></ul>These measures aim to prevent AI from developing harmful objectives or acting unpredictably.

<ul><li class="ql-align-justify">Currently, AI operates based on algorithms and data processing, lacking true subjective experience. </li><li class="ql-align-justify">However, if we develop a model for understanding consciousness, we might be able to verify AI consciousness by confirming the presence of genuine subjective experiences within the system. </li><li class="ql-align-justify">This could involve observing AI exhibiting behaviors indicative of self-awareness, emotional responses, and a sense of individual identity. </li></ul>

Identifying AI Consciousness: An Ongoing Challenge

"That's not just building intelligence into silicon but subjectivity...systems that can experience love and disgust and curiosity and emotions and states of mind we have no words for."

<ul><li class="ql-align-justify">However, until we have a clear understanding of consciousness and can reliably detect its presence, distinguishing between genuinely conscious AI and sophisticated simulations will remain difficult. </li><li class="ql-align-justify">Therefore, the ability to identify AI consciousness will likely depend on advancements in neuroscience, cognitive science, and AI research, which may take decades or even centuries to achieve.</li></ul>

<ul><li class="ql-align-justify">What societal changes might occur if AI systems become indistinguishable from humans in their interactions and capabilities?</li><li class="ql-align-justify">How can we prepare for the potential impact of AI on employment, privacy, and personal relationships?</li><li class="ql-align-justify">What are the potential consequences if we fail to address the alignment and ethical considerations of advanced AI systems before they become widespread?</li><li class="ql-align-justify">How can AI technologies be developed to minimize resource consumption, such as water and energy usage?</li><li class="ql-align-justify">What ethical obligations do we have towards potentially conscious AI systems?</li></ul>

Food for mind

<ul><li class="ql-align-justify">How should society regulate AI systems that can convincingly mimic human interactions to prevent misuse and manipulation?</li><li class="ql-align-justify">What criteria should we use to determine if an AI is genuinely conscious or simply simulating human behavior?</li><li class="ql-align-justify">How can we verify whether an AI system is experiencing subjective phenomena (qualia) rather than just mimicking responses?</li><li class="ql-align-justify">What advancements in neuroscience and cognitive science are necessary to understand and identify consciousness in AI?</li></ul>

"We used to worry that computers would become intelligent and take over the world. In reality, they stayed stupid, but took over the world anyway".

Siri, write this down immediately. "A movie where robots are performing reverse-Turing tests on humans to see if we're smart enough to be considered sentient." Yeah yeah email it straight to Spielberg, subject line, "Hi I live miserably alone with my cat and I'm going to make you millions of dollars. Could I have half a mil in advance pls for bus fare and stuff." 

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How Will We Know When AI is Conscious?

…is a theoretical paradox of time travel.It occurs when an object or piece of information sent back in time becomes trapped within an infinite cause-effect loop. The item no longer has a discernible point of origin, and is said to be “uncaused” or “self-created”

The Bootstrap Paradox

In the Terminator movies, Skynet is an example of a bootstrap paradox involving an object. Skynet, the conscious AI system and mankind’s nemesis, could not have been invented without the leftover components of the T-800 cybernetic organism it sent back in time to stop John Connor. The technology was analyzed and Skynet and cyborgs were subsequently created through reverse engineering.

Terminator movies

Einstein’s Theory of General Relativity tells us that we have got almost complete freedom of movement into the future.Time travel to the past, on the other hand, throws up a number of paradoxes.Any time travel paradoxes that do arise are therefore of particular concern to theoretical physicists. Their line of reasoning has subsequently led many of them to conclude that time travel to the past must be impossible.

Time Travel In To The Past?

While a bootstrap paradox may produce a consistent account of the timeline’s history, one problem associated with this ontological conundrum is an apparent violation of the Law of Causality.As a result, scientists are presented with an obvious problem in that they are no longer able to say that a past ’cause’ leads to a future ‘event’. The event may equally have been created in the future before leading to its cause in the past. Instead of time moving from a dead past to an undetermined future, the past, present, and future are, in fact, all equally real at the same time.

Problem #1 - Law of Causality

Another problem is an apparent violation of the second law of thermodynamics, which states that systems always flow from a state of order to a state of disorder.An object or information trapped within a time loop would continue to age and eventually disintegrate.The movie “Somewhere in Time”provides an example of a bootstrap paradox involving an object, in this case a pocket watch.An inconsistency that arises is how the pocket watch survives countless time cycles while remaining unaffected by time.One solution may be to assume that entropy is somehow reversed by time travel

Problem #2 - Law of Entropy

When mind go wild and you wonder about time traveling

The Bootstrap Paradox is a theoretical paradox of time travel that occurs when an object or piece of information sent back in time becomes trapped within an infinite cause-effect loop in which the item no longer has a discernible point of origin, and is said to be “uncaused” or “self-created”.

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Time Travel & the Bootstrap Paradox Explained

Data encryption: is like putting your information in a safe. It's even better since it also protects data while being sent.
Regular backups: are like creating photocopies. It's important to make sure they're done and can be used.
Anonymization tactics: are about keeping personal information confidential. It's a good idea to remove anything that can identify someone.

Data Security Best Practices

When it comes to securing your data, there are two main areas you should focus on to keep your applications safe:
<ol>
<li>Database protection: This includes guarding against attacks like SQL injections by securing databases and validating user inputs.</li>
<li>Hardening applications: Consider reducing the attack surface by configuring applications securely. This can involve disabling unnecessary services and removing default accounts.</li>
</ol>

Protect your database from attacks and secure your applications

Network security is crucial for protecting your data. Here are some aspects to consider:
<ul>
 <li>Encrypting traffic to safeguard transmitted data</li>
 <li>Configuring firewalls to allow authorized traffic and block unauthorized access</li>
 <li>Implementing secure authentication and authorization systems to control access</li>
</ul>

Importance of Network Security

Access controls provide an additional layer of protection to keep your premises secure. 
Here are three ways to strengthen this security measure:
<ol>
 <li>Utilize surveillance methods, such as security cameras, to monitor your property.</li>
 <li>Consider implementing backup power, such as generators, to ensure continuous security during power outages.</li>
 <li>Use geographic redundancy by placing backup equipment in different locations to mitigate regional risks.</li>
</ol>

Ways to Increase Security

🔒 Infrastructure security plays a crucial role in protecting an organization's tech assets.
<ul>
 <li>It involves measures and practices to improve an organization's security posture.</li>
 <li>These efforts promote a more secure environment.</li>
</ul>

Increase Security with Infrastructure Security

🔒Infrastructure security protects an organization’s technology assets, including:
<ul>
<li>🖥️Computers and devices</li>
<li>🌐Networking systems</li>
<li>☁️Cloud resources</li>
</ul>
🛡️Ensuring the safety of these assets is critical for any organization’s success.

Infrastructure Security Overview

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Distraction-free reading

It’s a crucial aspect of overall cybersecurity, directly contributing to an organization’s security posture. Infrastructure security encompasses the protective measures and practices that safeguard…

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Here Why Infrastructure Security play vital role in Cybersecurity

In late April 2024, Tesla's CEO, Elon Musk, let go of the Supercharger team, which had around 500 employees. This is the team responsible for the Supercharger charging-station network ( EV charging ports operated & owned by Tesla). Surprisingly, just two weeks later, Tesla started hiring back some of the people it had laid off.For a deep dive, you can go <a href="https://open.substack.com/pub/trajectorymatrix/p/inside-teslas-abrupt-supercharger?utm_source=share&utm_medium=android&r=3590yk">here</a>.

The Layoff

The layoffs will “enable us to be lean, innovative and hungry for the next growth phase cycle.”

Tesla's stock was soaring before layoffs hit in April 2024, with a striking <a href="https://www.barrons.com/livecoverage/stock-market-today-010924/card/tesla-stock-is-on-pace-to-mark-lowest-close-since-november-xJibqmHPKtcl4gt5f0tf">101.72% </a>🚀annual gain (2023). However, when news of the layoffs spread, the stock plummeted by <a href="https://markets.businessinsider.com/news/stocks/tesla-stock-price-layoffs-elon-musk-memo-weakening-ev-demand-2024-4">34% </a>(April 2024).Despite attempts to overcome the challenges, further job cuts caused another <a href="https://www.cnbc.com/2024/04/30/tesla-shares-drop-after-musk-cuts-about-500-jobs-in-supercharger-team.html">6% </a>(May 2024) drop.

Stock Price Drop

Just two weeks after Tesla let go of the staffs, it rehired some of them back. Elon Musk's decision to bring back some Supercharger employees at Tesla has stirred interest and scrutiny among the electric vehicle (EV) community.WHY?

The Return of Supercharger Staffs

Rehiring employees might be part of Tesla's broader efforts to make operations more efficient and focus better on main goals. By bringing back key people to the Supercharger team, Tesla aims to make operations smoother and be more flexible in the changing EV world.

2. Strategic Operational Improvements

For Tesla to succeed, its Supercharger network must be strong, making EV charging easy for users. And its workforce is a crucial part of that.

3. Strengthening Essential Infrastructure

As a big receiver of federal funds for EV chargers, Tesla has to meet certain responsibilities. Rehiring Supercharger employees is key to show that Tesla is indeed using resources well and keeping its network running smoothly.

4. Meeting Federal Obligations

As of now, the Supercharging network operated by Tesla stands as North America's most extensive fast charging network. Analysts project that Tesla could capture a <a href="https://www.bloomberg.com/news/newsletters/2024-04-09/tesla-tsla-charging-network-has-become-a-serious-business">$7.4 billion </a>💵share of the public charging market by 2030.

Leading

Expanding access to the Supercharger network for more EV drivers (of other brands) presents Tesla with an opportunity to attract a fresh customer demographic. It is also anticipated that this broadened infrastructure could generate an additional <a href="https://www.caranddriver.com/features/a45972127/tesla-supercharger-network-opening-ev-strategy/">$20 billion</a>💲💥in revenue by 2030.For a deep dive, you can go <a href="https://open.substack.com/pub/trajectorymatrix/p/inside-teslas-abrupt-supercharger?utm_source=share&utm_medium=android&r=3590yk">here</a>.

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Inside Tesla’s Abrupt Supercharger Layoff (and Rehiring)

In the rapidly evolving world of Artificial Intelligence, terms like “assistants,” “agents,” and “chatbots” often used interchangeably. Yet, as similar as these technologies may seem, they have distinct roles and functionalities that set them apart. This article discusses about these terms in detail and the differences to help one understand which tool might be best suite for their needs

Chatbot is a software application designed to have conversations with human users via text or text-to-speech. Chatbots are often rule-based or use simple natural language processing (NLP) techniques to understand and respond to user queries. They operate on a set of predefined pathways and responses, making them great for handling FAQs or providing standard customer service on websites.

Scripted responses: Chatbots follow predefined scripts and are limited to the scenarios they were programmed to handle.Limited context understanding: They typically handle short exchanges and struggle with understanding context or past interactions unless specifically designed to do so.Automation: Ideal for automating standard tasks without needing human intervention.

Key characteristics of Chatbots:

Agent is an autonomous AI system that can perceive its environment, reason about it, and take actions to achieve specific goals. Agents are often associated with more complex AI systems that can learn and adapt their behavior based on interactions and feedback

Autonomy: Agents operate independently and make decisions without human intervention.Adaptive: They can adjust their behavior based on changes in their environment or input.Goal-oriented: Agents work towards achieving specific goals, which can involve complex problem-solving.

Key characteristics of Agents

Assistants, often called virtual or digital assistants, combine the functionalities of both chatbots and agents but are typically more sophisticated. They use advanced AI, processing natural language to understand user requests and learning from interactions to improve over time.

Natural Language Understanding: Assistants can interpret and respond to spoken or written language in a way that mimics human interaction.Contextual awareness: They remember past interactions and can handle follow-up questions and requests accordingly.Proactivity: Assistants can anticipate needs based on user preferences and habits.

Key Characteristics of Assistants

Understanding the differences between these AI tools is important for deploying the right solutions to enhance your operations or improve your user experience. If you’re looking to answer specific queries efficiently, a chatbot might be your go-to. For more dynamic decision-making tasks, an agent could be more suitable. Meanwhile, if you need a more interactive and adaptive solution, a digital assistant would be ideal.

Understand the difference between AI terms 

In the rapidly evolving world of Artificial Intelligence, terms like “assistants,” “agents,” and “chatbots” often used interchangeably. Yet, as similar as these technologies may seem, they have…

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Decoding AI Interactions: Chatbots, Agents, and Assistants Explained

As Artificial Intelligence (AI) technology continues to evolve, need for understanding the role of specialised hardware that power AI applications is important. From training machine learning models to processing big data, the choice of processor impacts the efficiency and performance of AI tasks. Whether you are a developer, data scientist, or tech enthusiast, this guide will help you to understand the most common types of AI hardware: CPUs, GPUs, TPUs, and LPUs.

AI Hardware

Central Processing Unit (CPU) is the traditional heart of a computer, capable of handling a variety of tasks from basic calculations to complex software operations

Examples : Intel Core processors and Apple M1/M2 chipsBest for: General-purpose computing, smaller datasets, or tasks requiring complex logic where data processing needs are sequential.Application: Running data preprocessing or light machine learning models like linear/logistic regression on a dataset with less number of data poin

More About CPU

Graphics Processing Units (GPUs) are known for their ability to handle multiple operations simultaneously in parallel, making them ideal for graphics rendering in Games and AI computations

Examples: Nvidia Tesla and Nvidia Drive PXBest for: Large-scale machine learning tasks that requires handling of massive datasets with millions of data points or running complex deep learning models.Application: Training a convolutional neural network on a dataset with millions of images. A task that could take days on a CPU might only take hours on a GPU due to its parallel processing capabilities.

More About GPU

Tensor Processing Units (TPUs) are Application Specific Integrated Circuits (ASIC), developed by Google, designed to accelerate TensorFlow, a popular machine learning framework.

Examples: Apple neural engine and Intel’s Gaudi AI processorBest for: TPUs are built to enhance the speed and efficiency of TensorFlow applications, making them particularly suitable for tasks that can leverage this specific framework.Application: TPUs are commonly used in advanced Google services like Google Search and Google Photos, where rapid data processing and model improvements are continously required.

More About TPU

Language Processing Units (LPUs) are specialised processors designed to excel in natural language tasks such as translation and sentiment analysis.

Groq, a new player, in the AI hardware industry, is pioneering the development of LPUsBest for: LPUs are suitable for applications that require processing complex language data efficiently.Example: LPUs power advanced chatbots, enabling them to understand and respond to human queries quickly and accurately, improving user interactions in customer service settings.

More About LPU

CPUs are suitable for general-purpose computing and less complex AI tasks.GPUs are the go-to for large-scale data processing and deep learningTPUs offer the best performance for TensorFlow-based applications.LPUs excel in handling optical data for imaging and real-time analysis.

Selecting the right AI hardware

As Artificial Intelligence (AI) technology continues to evolve, need for understanding the role of specialised hardware that power AI applications is important. From training machine learning models…

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A Beginner’s guide to AI Processors: CPUs, GPUs, TPUs and LPUs

We have taught ourselves to create and combine the most powerful of technologies. We have not taken pains to learn about their consequences.

Technological Progress & Us

Sui 😂 The laughter emoji is there because... I almost decided not to talk about this blockchain again. It's quite complex. Sui is a permissionless layer 1 blockchain powered by the Move programming language. A little story lol

Me And DYORing

Maybe you've not heard of Morgan Beller...As at 2017, she started working on Libra. Libra was supposed to be a permissioned blockchain powering the $LIBRA supposedly to be a stablecoin.Well, apparently, Meta engaged on a mission impossible because that dream was never ever birthed. I don't know if I should feel bad...buh Zucks tried his best.Libra was announced around Dec 2019. It faced oppositions, so tsunamic that our esteemed Zuckerberg couldn't hold on to it.

... Meta's Dreams 💤

Libra was supposed to be a blockchain that will power a stablecoin native to Alphabet (Meta's ) incorporations -all the holdings under Meta. So, we're talking about something that will be like Ton blockchain of Telegram. Libra would have been across Facebook, Whatsapp, Messenger, Instagram....you name it.

...Libra

Mark's vision was : to make financial payments and transactions as easy as sending a message. Well, Libra was later named Diem on Dec., 2020. However, Diem shut down Jan. 2022. Quite tragic but wait for it....

Mark Zuckerberg's dream

Boom 💥💥💥 out of the ashes of eternal incarceration arose the fantastic 5. Evan Cheng, CEO Chief Executive Officer Adeniyi Abiodun, CPO Chief Product Officer Sam Blackshear, CTO Chief Technology Officer George Danezis, CS Chief Scientist Kostas Chalkais, CC Chief Cryptographer

F@ntastic 5

This five had been in meta since the inception of the Libra project working tirelessly... Long story cut short...they left Meta and birthed Sui. 😀

...Story Ends, Technicals Begin...

Sui's native token is $SUI.It's a utility token -it is used to pay the gas fees.It's also used for governance in the ecosystem.$SUI is also used to incentivize engagements in the Blockchain.

Let's get back to the technicalities...

Of course, if you can recall, last week Friday we treated Arbitrum (an L2), SUI is L1. Use this analogy, Arbitrum is a L2 built on a L1, Ethereum. So Ethereum is the baseblockchain. It's not built on any other blockchain, that's why it's layer 1. The same way, Sui is layer 1. It was not built on any blockchain.

Layer

Their consensus mechanism is the dPOS. Delegated Proof of Stake. Basically, it functions like POS in that validators (NB not miners this time, miners operate in POW) stake their tokens in order to validate and approve transactions with the accompanied addition of blocks to the Blockchain. However, this time ie in dPOS, validators need to be delegated.

Consensus

For me, Bitcoin is the King, Ethereum is the Queen, Core is The Prince, I don't know which is the Princess. Libra beget Aptos and Sui.

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