Artificial Intelligence, Blockchains

AND NOW A WORD ABOUT AIRDROPS?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered, mostly correct!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question, submitted by Danny in Los Angeles, and he wants to know about airdrops.

Danny, you came to the right place.  If you take the term literally, you might think someone is dropping air on your head which would be absurd!  Let’s start with a definition.

Airdrops is a term native to and used exclusively in crypto.  You won’t find reference to airdrops in any other market or industry.  Best of all, airdrops are free!  No charge.  Nada.  Zero.  However, nothing is truly free, meaning we must dig a little deeper.

Let’s start with the obvious; airdrops are a marketing strategy.  The point is to raise awareness and adoption of the project doing the airdrop.  Holy obvious, Batman! Generally, start-up blockchain companies are most likely to engage in airdrops.  The first airdrop occurred in 2014 by AuroraCoin, in Iceland.  El Salvador gave every citizen $30 of Bitcoin to those who installed the government built crypto wallet.  A government-built wallet from a corrupt government to encourage a decentralized money system.  Holy, are you serious, Batman!

Airdrops vary.  I’ll explain a few staring with Standard.

Standard Airdrop.  Standard Airdrop is the simplest.  Participants need only provide their wallet address and basic information. The airdrop quantity may vary depending on several factors, including number of participants, and the amount available, to name just two.

Bounty Airdrop.  To earn bounty airdrops, users must perform certain tasks.  Tasks vary, but generally revolve around raising project awareness, e.g., posting on social media, tagging a company, retweeting a post.  Some projects award airdrops for recruiting other users, think multi-layer marketing, Batman!

Holder Airdrop.  Holder airdrops are often automatic and based on a formula of quantities of tokens a holder possesses, and duration held. It is a way to reward commitment and loyalty.  Only the financially faithful, Batman!

Exclusive Airdrop.  As the name suggest, exclusive airdrops are reserved for selected individuals.  Who are the exclusive?  Generally, they are people who spend the most time on the project, contribute to the project, post about the project, and/or stake their holdings with the project.  Staking is generally the most effective way to get airdrops.  Holy, hoity-toti, Batman! 

Raffle Airdrops.  Raffle airdrops occur when a project decides to give away X number of tokens, based on a lottery.  However, the lottery may not be completely random.  The lottery may be weighted to give advantage to holders.     

If nothing is free nor perfect, what are the downside of airdrops.  In a word–SCAMS!  I’ll give you two scam types, starting with dusting.

In a dusting scam, the thief will send micro amounts of a valuable coin, e.g., Bitcoin, to a recipient.  The idea is to entice the victim to attach their wallet to a crooked phishing website, via a legit service such as Metamask, to claim their airdrop.  After a user connects their wallet and enters their password the scammer drains the stash!  Holy, where is my money Batman!  The second is enticing market participants to invest in a fraudulent, or non-existent project.  Either way your money is vaporized!  Two more quick points.  Tokens from airdrop projects might be worthless because the project fails, and/or token illiquidity.  Hence, keep the champagne on ice but the cork in the bottle!  Lol!

I end with a proverb from Niger:  Ashes fly back into the faces of those who throws them.

Until next time,

Yogi Nelson

Artificial Intelligence, Blockchains, cryptography, Yogi Nelson

WHAT IS CRYPTOGRAPHY?

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered, mostly correct!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question, was submitted by William from La Puente, CA and he wants to know what is cryptography?

William, you came to the right place.  William the only reasonable place to start is with a definition.  Let me answer by referring to an awesome movie called My Big Fat Greek Wedding.  In the movie the father of the bride would constantly say, “… the Greeks invented that, the Greeks did that first, etc.”  Well perhaps the old man had a point because in the case of cryptography the word comes from the Greeks.  Kryptos means hidden and graphein is to write; hence, cryptograph is to write in a hidden manner.  Holy hidden message, Batman!

Okay the word has its origin in Greece, but what does cryptography do?  Essentially, cryptography provides information protection/security.  Using cryptography, data can be transformed by substitution.  For example, an early and primitive form of substitution cryptography was to shift every letter three spots.   A sentence that would normally read like this: “Encrypted using Caesar cipher” becomes Hqfubswhg xvlqj Fdhvdu fiskhu.  The other method, known as transposition, involves moving the order of characters of words by a pre-determined agreement.  No, it’s not pig Latin!  Lol.

Cryptography concepts are likely foreign; hence, we should start slowly. I’ll cover just three topics today and save the rest for later.  Let’s start with the security services of cryptography, there are four. 

First is authentication.  By authentication I mean the assurance the communicating entity is legitimate.  Second, data confidentiality.  In other words, the protection from unauthorized disclosure.  The third is data integrity.  In this context I mean the data has not been altered; it was received exactly as sent.  Last, comes non-reputation.  Non-reputation refers to the notion that the receiver can prove the alleged sender sent the message.  Impressive!

We are off to a fast start.  Let’s try two more topics beginning with cryptographic keys. 

In cryptography there are two types of key systems–symmetric and asymmetric.  Symmetric is where one key is used to encrypt and decrypt messages.  The keys are essentially shared by the two parties and the data is transferred via a secure network.  However, authentication nor non-reputation is provided, and the origin of the message cannot be determined.  Let’s compare that to asymmetric cryptography. 

In asymmetric there are public and private keys.  The public key is derived from the private.  As you can guess, asymmetric was developed due to the problems with symmetric cryptography.  Asymmetric wins the crypto security battle handily.  However, if you lose your private key there is no way to access the data, value, or information that was sent!  You best hold on tight!

Hashing is an ideal spot to end the lesson.  Hashing, (I don’t mean potatoes, although I love hash browns) in cryptography is the process of transforming data or a string of characters into a short and fixed length value.  The value produced is unique; no other record has it.  Hashing algorithms are used to perform the hashing process in three steps:  1) data input; 2) hashing function #; and 3) hash output (of a fixed length). By the way, blockchains make extensive use of hashing.  More on that later.

There is more to say but for now I’ll stop with a proverb from our friends in Tajikistan, where they say:  In every drop of water, there is a grain of gold.

Until next time,

Yogi Nelson

Artificial Intelligence, Yogi Nelson

IS BULGARIA A LEADER IN ARTIFICIAL INTELLIGENCE EDUCATION?

Namaste Yogis. Welcome to the Blockchain & AI Forum, where your technology questions are answered, mostly correct! Here no question is too mundane. As a bonus, a proverb is also included. Today’s question, comes from Fernie, in Las Vegas, and he wants to know if Bulgaria is a leader in artificial intelligence education and research?

Fernie, you came to the right place. Rather than answer directly, I will share information about a certain institute located in Sofia, Bulgaria, and let you decide. Let’s jump right into it by shouting out the Institute for Computer Science and Artificial Intelligence Technology, INSAIT.
https://insait.ai/

INSAIT is a mere toddler; it was founded in April 2022. INSAIT is the first university in Eastern Europe dedicated exclusively to computer science and AI technology education. INSAIT is part of Sofia University, but functions autonomously. Holy independence, Batman!

INSAIT is backed by technology elites, including two of Switzerland’s most prestigious universities and global technology behemoths, i.e., Google, DeepMind, and VMware, etc. INSAIT says its sole focus is on scientific excellence, conducting world-class research, attracting outstanding international scientist, and training the next generation of technology leaders. Let’s peruse their course offerings, beginning with machine learning.

Machine Learning. INSAIT defines machine learning as the area of computer science that focuses on extracting knowledge from large data sets and using this knowledge for making predictions and decision making. INSAIT believes the combination of colossal data sets and increasing access to powerful computation means there are exciting opportunities for data-driven algorithms.

Computer Vision. According to INSAIT, computer vision is an interdisciplinary field that studies algorithms through which computers can comprehend images at a high level. INSAIT says, and with good reason, there are numerous applications for computer vision, including autonomous driving, robotics, object recognition, gesture analysis, tracking, scene understanding, medical images, and embodied AI. Will AI be peeking through my window? LOL.

Quantum Computing (QC). Quantum computing is hyper computing. QC can leverage the properties of quantum states. Look out!!! QC is revolutionary and will make what is now impossible or impractical, possible in seconds. Holy no speed limits, Batman! INSAIT is focused on the software side of QC, including programming languages, optimization, verification, and algorithms.

Cyber Security. INSAIT intends to become a cyber security tour-de-force. INSAIT says it will focus on cryptography and developing new security protocols, including communication systems. Holy bat shield, Batman!

Automated Reasoning. Reasoning is what makes human intelligence and allows us to draw conclusions based on logic, says INSAIT. Not surprisingly, INSAIT has a focus on automated reasoning related to fundamental math and logic questions. Their automated reasoning program examines decision making under uncertain conditions. Fabulous! All of life works under uncertain conditions! LOL!

Natural Language Processing. Speech perception is central to human language. According INSAIT, natural language process is the study of computational techniques for automated processing and analysis of speech and text. INSAIT aims to develop principled algorithms for processing massive amounts of text and speech data and insights based on linguistics. INSAIT keep in mind, the spoken word is only half of all communication!

INSAIT also supports graduate studies in data management, algorithms, and computer programming languages. A complete buffet of AI graduate education for the amazing price of $36,000 per year, including room and board. If I were 22 again I would … but I’m closer to 122 LOL.

Time to end with a proverb from Bulgaria, where they say, “A slip of the foot is not nearly as dangerous as a slip of the tongue.

Until next time,

Yogi Nelson

Artificial Intelligence, Yogi Nelson

IS IT POSSIBLE TO EARN $10M PROVING WEAK AI CAN SUPERVISE STRONG AI?

Namaste Yogis. Welcome to the Blockchain & AI Forum, where your technology questions are answered, mostly correct! Here no question is too mundane. As a bonus, a proverb is included. Today’s question is from Victor, in Altadena, CA. He wants to know if he can earn $10M by developing a Weak artificial intelligence (AI) system capable of supervising a Strong AI.

Victor, you came to the right place. On December 14th, Open AI released a research paper titled, Weak-to-Strong Generalization (system) in which they explored the very question you asked!

https://openai.com/research/weak-to-strong-generalization

Open AI starts with a premise; the premise is Strong AI systems will be vastly more intelligent than humans in 10 years. Holy left behind Batman! Open AI says our current method of controlling AI relies on human supervision. However, future AI systems (Strong AI) will be capable of extremely complex and creative behaviors making it difficult for humans to reliably supervise them. Sounds like a sci-fi horror movie! Based on that premise, OpenAI has the following hypothesis–humans can control weak AI systems and weak AI systems can be designed, built, and used to control much stronger AI systems. Therefore, controlling Strong AI systems in the future should be possible. OpenAI says their hypothesis has been proven correct in a lab setting. Let’s unpack their research and findings.

I’ll quote from the report. “The research suggest there remains important disanalogies between our current empirical setup and the ultimate problem of aligning superhuman models.” In other words, more work is needed.

Open AI says, it may be easier for future models to imitate weak human errors than for current strong models to imitate current weak model errors, which could make generalization (control) harder in the future. Nevertheless, we believe our setup captures some key difficulties of aligning future superhuman models, enabling us to start making empirical progress on this problem today.” Said succinctly, we know managing superhuman models is likely to become a major issue, but we are working on it! Are you reassured?

Let’s examine the three findings:

Finding 1: When ChatGPT2 was used to supervise GPT-4, the resulting model typically performs somewhere between GPT-3 and GPT-3.5 and Open AI was able to recover much of GPT-4’s capabilities employing weaker supervision.

Finding 2: Naive human supervision, such as reinforcement learning from human feedback, could scale poorly to superhuman models without further work.

Finding 3: It’s feasible to substantially improve weak-to-strong generalization.

After discovering that Weak AI in the lab was able to control Strong AI, Open AI says it is committed to undertake two actions.

To start, AI has committed to releasing open source code to make it easy to get started with weak-to-strong generalization experiments today. In other words, the computer codes used in the research will be publicly available to researchers thus putting more brain power to work. Fantastic! https://openai.com/blog/superalignment-fast-grants

Second, OpenAI will launch a $10 million grants program for graduate students, academics, and other researchers to work on superhuman AI alignment broadly. https://openai.com/blog/superalignment-fast-grants. Outstanding!

In summary, the Open AI report said, 1) managing future superhuman AI models is likely to be a problem; 2) preliminary research suggest Weak AI could manage Strong AI models; 3) more research is needed; and 4) $10M in grants is available to any one capable of designing a Weak AI system capable of controlling a Strong AI system.

We end with a proverb from Mali, where they say: When an old woman dies, a library burns to the ground.

Until next time,

Yogi Nelson

Artificial Intelligence, Yogi Nelson

WHAT IS THE STATE OF AFFAIRS IN ARTIFICIAL INTELLIGENCE SYSTEMS?

Namaste Yogis. Welcome to the Blockchain & AI Forum, where your technology questions are answered, mostly correct! Here no question is too mundane. As a bonus, a proverb is also included. Today’s question, comes from Richard, in Los Angeles, and he wants to know what is the state of affairs in artificial intelligence systems?

Richard, you came to the right place. There has been an explosion in recent months of companies announcing large language model (LLMs) AI projects. For this article I’ll refer to LLMs as AI systems. Let’s examine the situation by asking various AI systems to introduce themselves by answering this question:

   Can you please describe yourself and your capabilities in 50 words or less?

Below I cut and paste their respective responses, where available, verbatim.

ChatGPT by Open AI. OpenAI is the California based software company behind ChatGPT.

“I am ChatGPT, a sophisticated AI language model created by OpenAI. With extensive training on diverse topics, I excel in generating human-like text, answering queries, and providing information. My abilities encompass a wide range of subjects, making me a versatile tool for communication and knowledge sharing.”

Bard by Google. Bard is a product of Google, a California company that needs no introduction.

“I’m Bard, a brainy AI from Google. I can chat, write, translate, and more, using knowledge from the real world to fuel your words. Ask me anything! (49 words)”

Notice Bard used 27 words but claims it used 49! Apparently, Bard cannot count! Lol.

Co-Pilot by Microsoft. Microsoft calls its AI system Co-Pilot or Bing which is the name of Microsoft’s search engine.

“Certainly! I am Bing, an AI language model. My capabilities include generating creative content, answering questions, providing summaries, and more. I can write poems, stories, code, and engage in interesting conversations. Feel free to ask, and I’ll do my best to assist!”

Mistral: Mistral is an AI company from Paris. Their website says the project is under construction. I tried to log on, and instead received an email indicating access was by invitation only! Ouch! How rude! Or as they say in France, Impoli! Lol! I don’t want to be a member of a club that would have me as a member! Lol!

Olympus by Amazon. According to Reuters, Amazon is investing millions in training an ambitious large language model, expecting to surpass ChatGPT and Bard. As with Mistral, Amazon is late. Perhaps Jeff needs to unretire and get back to work! Lol!

Gauss by Samsung. Samsung is tardy. When ready, Samsung says its LLM will have the capabilities to generate text, computer code, and images based on machine learning technology. It is not just one model, but a family of models, Samsung Chairman Lee explained to Business Korea on December 18, 2023.

Grok by X. Grok is in beta testing. Why? Maybe Elon is busy on his rocket ship or pumping garbage crypto meme coins. Lol! On November 2, Musk tweeted “Grok is intended to answer almost anything and suggest what questions to ask.” Musk claims Grok will possess a sense of humor, hopefully not his. Lol! What makes Grok superior according to Musk is “… Grok has real-time knowledge of the world via the X platform and will answer ‘spicy questions’ that are rejected by most other AI systems.” Knowledge on X? I guess that’s the humor! Lol!

I will close with a proverb from Togo: A man that does not lie shall never marry. Brother, you got that right for sure! Lol, lol, lol!
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Until next time,

Yogi Nelson