The AI Revolution – A Glimpse into our history and Tomorrow’s World

The moment when humans become cyborgs

Throughout history, humans have played with the idea of becoming super intelligent. Leveraging new technologies in ways that redefine our mental and physical capacities. In the modern world we live in, extending the human lifespan and living forever is becoming a possibility. We are also on our way to installing hardware chips on our brains that can create a seamless brain-computer interface. The possibilities are endless. Data and AI play a key role in developing these technologies. Data is the raw material that AI algorithms analyze and learn from to perform various tasks. AI are machines that can think and act intelligently in various domains. It’s not far-fetched anymore to visualize a future where AI technologies are literally integrated with our biological bodies. The moment when humans fully become cyborgs. 

The beginning of Infinity and the AI revolution

In his book, ‘The Beginning of Infinity’, David Deutsch shares a thought-provoking exploration of the philosophy of science and its direct implications for human progress. Science, can be argued, is essentially the engine that powers humanity’s progress. Science is technology. Science is what allows us to test and create new things that further advance our understanding of the reality we live in. From the domestication of fire to the advent of agriculture, to the creation of languages. Human’s curiosity and resourcefulness have taken us to where are today. If we take a quick glance at our history, we can connect the dots and observe how we’ve progressed to this present moment. 

Deutsch also points out on how knowledge and the scientific method are limitless, allowing us to make infinite progress in understanding and manipulating the world around us. We are entering an era where the potential for humans and machines is boundless. 

As our cognitive capacities evolved, so did our technologies. In the agricultural revolution, we saw the shift from a nomadic, hunter-gatherer lifestyle to settled agricultural societies. The development of agriculture and the domestication of plants and animals allowed the growth of human populations across the globe. In the industrial revolution, we saw a shift from agrarian economies based on agriculture to industrial economies driven by manufacturing and mechanization. This transformation led to an increased production of goods and services, economic growth, and the rise of capitalism as the dominant economic system. 

Today, we are seeing the modern world being shaped through the combination of data and AI. Never before in our history, had we seen such an exponential rate of improvement of our technologies. At this rate of progress, soon enough we won’t be able to distinguish a videogame from reality.

AI as a force of nature challenging our world order

Elon Musk. Love him or hate him, he’s a humanist at heart. Every chance he’s talked in public, his rhetoric has been consistent. In one of his most recent interviews, he shared his view on Open AI’s current trajectory and signaled some of the inherent threats that AI poses to humanity if we are not careful. The beginning of a robocalypse may very well be here. 

The power and influence that AI has in today’s world are unprecedented. What’s scary is that its mechanisms of action can go unnoticed. For instance, AI can go as far as subtly infiltrating and redefining public opinion. AI can be righteous and politically correct. Machines like Chat GPT can be trained to avoid truths. If we lose our discernment and critical thinking capacities, we can be easily manipulated by the output of machines like Chat GPT.

Humanity is facing many uncertainties around AI. People are scared, and with reason. People want answers, and most importantly, truth. People are trying to find order in this new world that is emerging with AI. Forces like nuclear bombs and global warming have threatened the livelihood of our planet and species. AI can also be considered a force of nature, something that is beyond our control. We must tread carefully and not underestimate the threat that these machines can pose.

We believe that even though AI can be used as a force for good, it can also be used as a force for evil. One important question to ask ourselves is: How can we maximize all the benefits of this technology while minimizing the inherent threats that come with it?

Thanks to Eugenia Olavarria for suggestions and for reading drafts. 

Chat GPT 101 – Introduction

What is Chat GPT?

ChatGPT is an advanced language model developed by OpenAI, specifically from the GPT-3.5 architecture. It is designed to understand and generate human-like text, making it capable of engaging in natural and coherent conversations with users. ChatGPT has been trained on a diverse range of internet text and possesses the ability to provide information, answer questions, assist with tasks, and generate text across various topics. Its sophisticated language capabilities have enabled it to be used for customer support, content generation, idea brainstorming, and more.

How does Chat GPT work?

ChatGPT is built upon a deep learning architecture known as the Transformer. It processes input text and generates responses by predicting the next word in a sequence, taking into account the context provided by the previous words.

Here’s a simplified overview of how ChatGPT works:

  1. Tokenization: When you input text to ChatGPT, it breaks down the text into smaller units called tokens. Tokens can be as short as one character or as long as one word. This allows the model to process and understand the text more efficiently.
  2. Contextual Understanding: ChatGPT reads the input text token by token, and for each token, it predicts what the next token should be based on the patterns it has learned from its training data. It takes into account not just the current token, but also the preceding tokens to understand the context of the conversation.
  3. Probability Distribution: The model generates a probability distribution for each token in the input over all possible tokens that could come next. This distribution reflects the model’s confidence in the likelihood of each token following the context.
  4. Sampling: To generate a response, the model can use different strategies. One common strategy is “sampling,” where the model randomly selects the next token based on the probabilities from the distribution. This randomness adds an element of creativity to the responses.
  5. Continuation: The process of generating one token becomes the input for generating the next token, creating a chain of tokens that forms a coherent response.
  6. Conversation History: To maintain context in conversations, the model keeps track of the conversation history and incorporates it into the generation process. This helps it produce relevant and contextually appropriate responses.
  7. Iterative Process: ChatGPT doesn’t generate a response in a single step; it generates tokens one by one in an iterative process. The length of the response can be controlled by specifying the desired number of tokens.
  8. Fine-Tuning: While ChatGPT is pretrained on a wide range of data, it can also be fine-tuned on more specific tasks or domains to make its responses more accurate and tailored to certain contexts.

Ok this sounds pretty cool, but…

How accurate is Chat GPT?

ChatGPT can generate coherent and contextually relevant responses, but it may occasionally produce incorrect or nonsensical answers. The accuracy of its responses can vary depending on the complexity of the input and the task at hand. It is important to notice that it may not always fully understand nuanced queries.

Is ChatGPT creative?

ChatGPT can demonstrate creativity by generating unique and imaginative text, such as writing stories, poems, or creative suggestions. However, its creativity is a result of learned patterns from its training data rather than genuine creative thinking.

Ok, this sounds incredible. But what’s the catch? How much does it cost?

What are the pricing plans for ChatGPT?

OpenAI offers both free and paid pricing plans for ChatGPT. The paid plans, often referred to as subscription plans, provide enhanced usage limits, faster response times, and other benefits.

For the paid plans, ChatGPT charges around $0.03-S0.12 for every 1000 Tokens (depending on the plan). NotionAI defines these Tokens as pieces of words. A token is the smallest unit of text that the model reads. It can represent a single character, a word, or even a part of a word, depending on the language and the specific tokenization method used. 1,000 tokens are about 750 words.

For example, consider the sentence: “ChatGPT is amazing!”

When tokenized, this sentence might be split into the following tokens:

  1. “Chat”
  2. “G”
  3. “PT”
  4. ” is”
  5. ” amazing”
  6. “!”

As you can see, each word and even some parts of words have been tokenized into separate units. The model processes and generates text token by token, predicting what the next token should be based on the context provided by the preceding tokens.

It’s important to note that tokens are not necessarily equivalent to words in a traditional linguistic sense. In some cases, a single word might be split into multiple tokens, and conversely, multiple words might be combined into a single token. This tokenization process helps the model efficiently handle and understand text of varying lengths and complexities.

It is important you monitor your usage regularly so you don’t end up spending your tokens all at once.

So now that we’ve covered the basics…

What can I use ChatGPT for?

ChatGPT has found a wide range of applications across various domains due to its ability to generate human-like text and engage in natural conversations. Some popular uses for ChatGPT include:

  1. Content Generation: ChatGPT can assist in creating blog posts, articles, social media content, product descriptions, and more. It helps generate coherent and relevant text on a given topic.
  2. Copywriting: Businesses use ChatGPT to draft ad copy, marketing materials, slogans, and promotional content that resonates with their target audience.
  3. Customer Support: ChatGPT can provide automated customer support by answering frequently asked questions, troubleshooting issues, and guiding users through processes.
  4. Idea Brainstorming: ChatGPT helps users brainstorm ideas for creative projects, business strategies, product names, and innovative concepts.
  5. Programming Help: Developers use ChatGPT to get code-related explanations, debugging assistance, and suggestions for solving coding challenges.
  6. Language Translation: While not a dedicated translation tool, ChatGPT can provide rough translations for short sentences or phrases.
  7. Learning Aid: ChatGPT can explain complex concepts in simple terms, help with studying, provide summaries of articles, and answer academic queries.
  8. Writing Improvement: Writers and students use ChatGPT to get feedback on their writing style, grammar, and structure, helping them improve their skills.
  9. Personal Assistant: ChatGPT can serve as a virtual assistant, setting reminders, scheduling appointments, and providing information on various topics.
  10. Interactive Entertainment: ChatGPT is used to create interactive and engaging stories, games, and role-playing experiences.
  11. Prototyping: Designers and developers use ChatGPT to prototype conversational interfaces and user experiences.
  12. Data Entry and Management: ChatGPT can assist in data entry, form filling, and organizing information in a structured manner.

It’s important to note that while ChatGPT is versatile, it may not be equally proficient in all these applications and might require specific fine-tuning or additional tools to achieve optimal performance for certain use cases.

Additionally, ethical considerations and content review are important when using ChatGPT, especially in applications involving sensitive information or critical decisions.

Anything else I should know about ChatGPT?

The current version of ChatGPT is ChatGPT-4. However, ChatGPT-5 has been announced! While we don’t have a specific release date for this version, there have been various rumors and speculation on what’s coming next. We don’t expect it to come out soon but what can we look forward to?

  • Better language understanding and improved contextual understanding
  • Personalized responses
  • A bigger knowledge base
  • Faster response times
  • Less inaccurate answers
  • Improved calculations, codes and models
  • Continual learning and adaptability


We love ChatGPT. It has been an incredible tool that has helped us solve various tasks. However, there is still much to know and learn about its true potential. We are very excited to see what else ChatGPT can help us out with.

However, this is not a miracle that can solve all our problems. We strongly recommend always reviewing the information it gives us since in some cases, it can provide incorrect or incomplete answers. It is best to be mindful when using ChatGPT.

Additionally, its database hasn’t been updated since 2021 so it might not provide any up-to-date responses on some issues. So keep this in mind.

What are your thoughts on ChatGPT? What do you use it for? Let us know in the comments below!