This is one of the reasons why the tech industry is becoming a joke.
Always preaching the virtues of hard work and focusing on your core value proposition, especially when you have raised money.
And then you keep trying this and that because you are losing money. Yesterday you are the first and greatest base generative AI model, today you are a GPT marketplace and tomorrow an AI-based search engine (whatever that means).…
At the current rate, in a few years most online content will be AI-generated, making it essentially useless for LLM training.
And no, there won’t be a sentient AI agent that is aware of the need for self-training with the right data.
Unlike us, AI will still be a prisoner of entropy in all its forms.
In here, entropy is a measure of the randomness or uncertainty in the outputs of the model.…
An LLM may need billions of tagged documents to learn to speak. Humans learn differently – a baby needs far fewer interactions to learn a language. And yet AI often trains faster for specific tasks. Why does this happen?
AI excels at well-defined, iterative computations within clear boundaries. This results in different learning processes:
Experts and the media claim that we are on the brink of artificial intelligence (AI), where machines will start to think like humans and take care of everything. Let’s see why this is nonsense.
First, consciousness and meaning are not computable processes (Penrose). This is why computers are very good at saying what happened, but not at saying why it happened, creating new rules, or designing experiments to validate hypotheses.…
The problem with AI today is not that we don’t know how to implement it. The problem is that, for the most part, we don’t have the domain-specific data to train it on (legally). This is where companies like Google and Facebook have an advantage. At least for consumer data.
The technology is not the advantage. The data is. The tech is available to anyone who knows high school level Python and can rent cloud servers, but only the big guys have the data.…
This is machine learning training on landscapes StyleGAN3 (https://lnkd.i...
One of the most interesting things about GenAI is that it tells us that language is not what we think it is, and that it does not have to be learnt using traditional grammar-based rules.
The fact that a machine can become fluent in any language simply by reading or watching a large enough amount of properly tagged content is entirely consistent with the way humans learn their native language.…
Recent advancements in Large Language Models (LLMs) have revealed that complex linguistic capabilities can emerge from machine learning processes without explicit programming of grammatical rules.
The fact that languages can be learned as an emergent property, by looking at large amounts of properly tagged information, is perhaps the most interesting finding of the whole LLM thing.…
The world is your particular point of view of a multidimensional totality that contains all possible past, present and future scenarios. There is no past or future time: there is an eternal now that contains everything and in which everything is possible.
El mundo es tu punto de vista de una totalidad multidimensional que contiene todos los escenarios posibles pasados, presentes y futuros.…
Large Language Models (LLMs) and fine-tuning techniques are often misunderstood in their application to specific question-answering tasks. While fine-tuning can improve model performance, it does not inherently enable a model to provide predetermined answers to specific questions. Instead, a more effective approach for retrieving precise information involves semantic search using embeddings technique.…
The house has a bold, futuristic design that contrasts sharply with its natural surroundings. It consists of two main sections: a lower level and an upper level that extends outward dramatically. The upper level is a rectangular module made of grey concrete with rounded edges that juts out horizontally from the main structure, seemingly defying gravity. This cantilevered section has large floor-to-ceiling windows on its front face, offering panoramic views of the forest.…
The house has a bold, futuristic design that contrasts sharply with its natural surroundings. The house features clean lines and smooth surfaces throughout. The surrounding environment is a dense pine forest. The house is built on uneven, rocky terrain with large boulders. Its almost night, weather is very foggy and there´s a thick layer of snow. The blue lights of the bunker and the yellow lights of the house through the fog give the scenery a dystopian look.…
The building has a bold, futuristic design that contrasts sharply with its natural surroundings. It features clean lines and smooth surfaces throughout. The surrounding environment is a dense pine forest. The building is built on uneven, rocky terrain with large boulders. It consists of two main sections: a lower level and an upper level. The upper level is a house made with a rectangular module made of grey concrete with rounded edges that juts out horizontally from the main structure.…
Generative Artificial Intelligence (AI) systems consist of multiple layers extending beyond the visible output. While consumers interact with text, image, video, and audio outputs, these applications are supported by a complex technical stack. This infrastructure includes predictive models, data platforms, and computational resources that enable specialized generative outputs for various tasks and industries.…
The development of Large Language Models (LLMs) has led to significant advancements in machine-generated text, creating challenges in distinguishing between AI-produced and human-authored content. This technological progress has implications across multiple sectors, including education, literature, and various professional fields. The increasing sophistication of LLMs has diminished the effectiveness of traditional statistical methods for detecting machine-generated text.…
Image of a striking juxtaposition of futuristic architecture and primeval wilderness. A sleek, angular structure stands prominently in the foreground, its dark exterior contrasting sharply with the lush green forest surrounding it. The building’s design is distinctly modern, featuring a geometric shape that resembles a hexagon when viewed from the front.…
Large Language Models (LLMs) exhibit significant weaknesses in information reliability. Absent meticulous human-designed scripts and rigorous quality assurance processes, these systems frequently produce erroneous outputs (aka “hallucinations”).
The challenges extend beyond mere factual inaccuracies. LLMs face substantial hurdles in maintaining current information.…
Neural networks (and LLMs are no exception) are all about deconstructing information, removing noise from signals, encoding signals and then deliberately adding noise (entropy) to create signals.
These processes of constructing and deconstructing information are at the heart of the emerging field of generative AI, which aims to create systems that can generate new and original content.…
La realidad aparente de cosas sólidas en el espacio-tiempo es un fractal creando ilusión de solidez. Conciencia mezclándose con un espacio de probabilidades, que adopta los valores y formas que ésta imagina. En realidad no hay nada sólido: todo está fundamentalmente vacío. El vacío es lo que en realidad da forma aparente a todo. En 3D causas y efecto son una red totalmente impenetrable, una ilusión fractal.…
The one-person unicorn startup represents a dystopian pinnacle of tech world hyper-individualism. This concept, where a single founder uses AI to build a billion-dollar company without employees, epitomizes Silicon Valley’s obsession with efficiency taken to extremes. It’s the unsettling endpoint of trends like the gig economy and AI automation.…
Imagine being someone who thinks humans are like premium computers. Living in a short-sightedness equivalent to a Paleolithic mind. Thinking that the mind can only regurgitate information and datasets that absorb our brains, when humans have literally invented all the abstractions, art, language, infinity and God.
The belief that humans are merely lines of code, held by many including those in the field of technology, is a troubling indication of the current state of our world.…
La inteligencia artificial (IA) podría llevarnos a dos escenarios contrastantes en el futuro. En un escenario pesimista, las élites podrían utilizar la IA para mantener su posición privilegiada, aumentando la vigilancia y el control sobre la población. Este enfoque buscaría proteger los modelos de negocio existentes de las grandes empresas y regular los proyectos de código abierto que escapan a su supervisión.…
En “Singularity is near” Kurweil sostiene que hacia 2046 la tecnología permitirá codificar las mentes (como si fueran programas de ordenador), y cargarlas encriptadas en ‘la nube’ para formar una conciencia única e inmortal, que controlará todo el poder de computación del planeta. Sostiene que los baby boomer son la primera generación que se hará inmortal y que se podrá hablar con los muertos como quien habla con un software de AI.…
But the risk of corporations more actively supporting multiple sides in conflict zones and carving up their own territories and spheres of influence is a concerning prospect, akin to the Dutch East India Company which governed its own territories through military force and trade monopolies.
While there are still waning expectations that multinational corporations pick clearer sides in interstate conflicts, there appears to be little stopping them from fueling and prolonging intrastate conflicts featuring non-state actors, as long as it serves their financial interests.…
The emergence of large language models (LLMs) and artificial intelligence has undoubtedly transformed the tech landscape, but the true potential for new businesses lies in what we might call the “second layer” of AI implementation. While many startups are merely creating wrappers around existing LLM capabilities, the real opportunity exists in developing specialized integrations and applications that address specific industry needs and business challenges.…