Torbellino Tech

Inside the minds of giants


ttbghv1 (esp)

Sep 14 2026

1. Introducción/Recap

Hace aproximadamente dos años comenzamos a escribir acerca de un concepto de tecnología híbrida de IA y Blockchain (aka Turing Test Blockchain, aka Blockchain de tercera generación) basado en nuestro entendimiento de este campo después de años investigación, experimentación y reflexión. Es tanto una respuesta a una necesidad que identificamos en el campo como una oportunidad de realizar nuestra contribución única a la industria (entendiendo nuestra posición en esta). En este sentido, es una "feliz coincidencia". O simplemente, lo que tenemos que hacer (felizmente).

Una de las características de nuestro enfoque, cuando entendemos o describimos este concepto en el sentido más general, es que pensamos más en términos de principios, protocolos y sistemas que en términos de código y modelos. Estamos presenciando el fenómeno de los modelos (de IA); de hecho, la representación de una tendencia más profunda desde hace décadas. Sin embargo, este concepto se basa en una forma diferente de pensar.

La primera iteración de nuestro concepto tecnológico, ttbv0, se presentó aproximadamente hace 8 meses. En esta iteración, ttbghv1, nos centraremos en otros módulos. Allí, esencialmente presentamos una Prueba de Concepto (PoC) de una forma híbrida PoW-PoS de Ethereum que constaba de un contrato de depósito modificado inspirado en la arquitectura de red maestro-esclavo y una IA no supervisada ultra eficiente aplicada al análisis de la topología de la red. Aquí, nos centramos en la integración en tiempo real de la base de datos Postgres con el protocolo Ethereum, la integración con nuestra aplicación de optimización de la supply-chain (loglogx), otras integraciones con IA, y el despliegue en red en tiempo real.

Ethereum es el conjunto de estándares de referencia de esta nueva era de la computación y una consecuencia lógica de Internet. También es el sistema y la plataforma abierta, demostrando su viabilidad y efectividad como un sistema distribuido global en tiempo real. Todas estas características atrajeron nuestra atención y, desde nuestra perspectiva, hay muchas oportunidades para que la IA y Blockchain se complementen mútuamente. Nosotros ya hemos tratado de mostrar algunas.

Hay mucho trabajo por hacer aún en términos de integración y automatización de los diferentes módulos que hemos estado desarrollando. Esperamos publicar una nueva versión el año que viene.

2. Resumen de Avances

Esta iteración multiplica el rendimiento en un factor de 10 en todos los ámbitos. Tanto en redes, con una red custom 12 veces más rápida que Ethereum, como en optimización gracias a la integración con software actualizado con el estado del arte.

Se han implementado cambios profundos en la arquitectura del sistema, que hemos tenido que realizar "sobre la marcha" conforme estamos desarrollando este concepto de tecnología híbrida IA x Blockchain.

Primero, la base de datos ha sido rediseñada y extendida para funcionar en tiempo real con tecnología blockchain.

Segundo, hemos tenido la oportunidad de testar nuevos modelos de IA y frameworks, que estamos integrando en nuestro sistema. Estamos intentado explotar la reciente sobreproducción de modelos open source dentro de las limitaciones de nuestra modesta infraestructura. Los despliegues en local de estos modelos (u on premise) implican mejoras en la latencia, más control, seguridad y privacidad. Seguiremos trabajando en integrarlos en nuestra testnet conforme avancemos en el desarrollo de esta Inteligencia Artificial Distribuida.

Tercero, la base de datos se ha rediseñado y extendido para mejorar la integración con loglogx, nuestra aplicación de optimización de supply-chain. Ya presentamos una primera versión hace alrededor de un año pero hemos tenido que repensar el diseño de la base datos en función de otros cambios fundamentales en el sistema.

Cuarto, se ha integrado una nueva capa de seguridad en el sistema para permitir el funcionamiento en red en tiempo real de acuerdo a los más altos estándares de seguridad de la industria. Aún estamos testando esto y anticipamos grandes desafíos para escalar la testnet.

Finalmente, muchas otras actualizaciones menores.

3. Torbellino Testnet

Por Torbellino Testnet nos referimos a nuestra tecnología blockchain basada en la tecnología Ethereum. Es la parte central del concepto ttbghv1. Se puede desplegar por sí sola, por así decir, y se puede integrar con diferentes tecnologías y aplicaciones.

Cuando empezamos a desarrollar este concepto realizamos un fork de implementaciones estándar de Ethereum: go-ethereum y prysm. En términos de infraestructura Ethereum, la primera PoC básicamente consistió en un contrato de depósito modificado y parametrizaciones custom. Aún estamos testando las posibilidades y continuaremos trabajando en esto, además de seguir los desarrollos de esta plataforma.

Estamos testando una versión modificada de Ethereum en local. Los primeros resultados muestran una mejora del rendimiento de un factor de hasta 12 y la integración con éxito con otras tecnologías y aplicaciones. Estamos ofreciendo a nuestros clientes la posibilidad de unirse a esta red que estamos construyendo ya sea desplegando su propio nodo o conectándose al nuestro.

Una capa adicional de seguridad, integrada con la red Torbellino Testnet, permite a nuestros clientes nuevas formas de interactuar con la blockchain de acuerdo a los más altos estándares de seguridad de la industria.

4. Optimización IA 10x

Gracias a nuestro conocimiento profundo y comprehensivo de la industria de software y las implicaciones y dependencias en la integración de nuestro software con esta, nuestros clientes pueden disfrutar ahora de un incremento en el rendimiento de un factor de hasta 10 (dependiendo del tamaño y el tipo de problema) en cada ejecución de los algoritmos de optimización en el núcleo de nuestro sistema.

Conforme el tamaño del problema se incrementa el tiempo requerido para ejecutar los algoritmos y encontrar la solución se incrementa más y más. Esto resulta crítico en el caso de aplicaciones en tiempo real, en las que no cumplir una fecha límite puede implicar una disrupción del servicio irrecuperable. Gracias a la IA ahora se pueden resolver problemas relativamente grandes en tiempo real. En nuestro caso, podemos obtener esta aceleración "automáticamente" ya que el software del que nuestro software depende (cvxpy) implementa técnicas actualizadas con el estado del arte en este sentido.

Esperamos poder continuar obteniendo estos incrementos en el rendimiento conforme extendemos la funcionalidad del sistema, dado que muchos problemas de optimización relevantes se comportan de forma similar en este sentido.

Para explotar esta optimización acelerada por IA es posible que existan requisitos adicionales de infraestructura.

5. Base de datos Postgres

La base de datos Postgres es uno de los elementos centrales del sistema.

En esta iteración se ha tenido que rediseñar para soportar el funcionamiento en tiempo real con blockchain y aplicaciones.

La integración de blockchain con estructuras de datos y algoritmos adicionales permite nuevas aplicaciones en la optimización de la supply-chain. Además, dado que nuestro software es compatible con Ethereum todas las aplicaciones que están disponibles en Ethereum también son compatibles. Estamos explorando otras posibles aplicaciones en el ámbito del comercio electrónico.

También hemos trabajado en integraciones con software empresarial disponible en el mercado, y aceptamos peticiones de integraciones bajo demanda (a estudiar por proyecto).

6. Principios de nuestra visión actual de la IA y más allá

  • Coprocesador: es más factible y más efectivo limitar la utilización de la IA a ciertos dominios y/o ciertas partes del sistema, en otras palabras, considerarla un coprocesador del sistema.
  • Domain Specific Languages: son las representaciones de referencia con las que la IA tiene que razonar e interactuar.
  • Determinismo y explicabilidad: gracias a la ingeniería de sistemas, la definición granular y testado de componentes, y restricciones o cotas superiores globales (en su integración con otras partes del sistema, en los recursos disponibles, en las funciones que desempeña, ...), el sistema se mantiene explicable, practicable, determinista y auditable.
  • Confiabilidad: incremento de la confiabilidad mediante la implementación de estándares de la industria, el testado de componentes e integraciones, la limitación de las dependencias en la cadena de suministro y la priorización de software libre y abierto.
  • Estándares: uso de tecnologías probadas de acuerdo a los estándares de la industria, promoción, despliegue e implementación de software libre y abierto, monitorización de estándares y contribución a la comunidad.
  • Seguridad: aspiramos a proveer a nuestros clientes de incluso mayor seguridad que a nosotros mismos, retrasando despliegues críticos para la seguridad cuando es necesario y siguiendo los estándares de ciberseguridad y mejores prácticas.
  • Universalidad: aspiramos a difundir nuestras ideas y tecnología universalmente.
  • Pensamiento crítico: estamos constantemente reexaminando nuestras ideas y otras.

7. ttbghv2

En el futuro, tenemos a la vista grandes oportunidades, muchas ideas que probar y mucho trabajo. Esperamos publicar una nueva iteración de este concepto el año próximo, con actualizaciones y mejoras significativas.


ttbghv1

Sep 9 2026

1. Introduction/Recap

Around two years ago we started writing about a hybrid AI x Blockchain (aka Turing Test Blockchain, aka 3rd Gen Blockchain) tech concept based on our understanding of this field after years of research, experimentation and reflection. It is both an answer to a necessity we identified in the field and the opportunity to make our unique contribution to the industry (understanding our position in it). In this sense, it is "a happy coincidence". Or simply, what we have to do (happily).

One of the characteristics of our approach, when understanding or describing this concept at a general level, is that we think more in terms of principles, protocols and systems than in terms of code and models. We are witnessing the phenomenon of models; in fact, the representation of a decades long deeper trend. However, this concept is based on a different way of thinking.

The first iteration of our tech concept, ttbv0, was first presented around 8 months ago. In this iteration, ttbghv1, we will focus on different modules. There, we essentially presented a proof of concept (PoC) of a hybrid PoW-PoS modification of Ethereum: a modified deposit contract inspired by the master-slave network architecture and an ultra-lightweight, unsupervised AI analysing the topology of the network (from latency traces). Here, we focus on real-time integration of the database (Postgres) with the Ethereum protocol, integration with our supply-chain optimization application (loglogx), other AI integrations, and real-time networked deployment.

Ethereum is the open set of standards of reference of this new age of computing and a logical consequence of the Internet. It is also the system and open platform, proving its viability and effectiveness as a real-time and global distributed system. All these characteristics attracted our attention and, in our view, there are many opportunities for AI and Blockchain to complement each other. We have tried to show some already.

There is still a lot of work to be done in terms of the integration and automation of the different modules we have been developing. We expect to release a new version next year covering this and much more.

2. Summary of Advancements

This iteration brings a 10x increase "all across the board". Both in networking, with a custom tesnet 12 times faster than Ethereum, and in optimization "for free" thanks to deep integration with state-of-the-art software.

Deep architectural changes have been implemented as we continue to develop this hybrid AI x Blockchain concept.

First, the database has been redesigned and extended, including an integration with a blockchain real-time indexer.

Second, we had the opportunity to test new AI models and frameworks, which we are working on integrating with our system. We are trying to leverage the recent overproduction of open source models given our humble infrastructure. Local or on premises deployments enable lower latency and higher control, security and privacy. We will continue to work on tightly integrating them in our testnet as we build this real-time intelligent distributed system.

Third, the database has been redesigned and extended to better support loglogx, our supply chain optimization application. We had already presented a first version of this last year but we had to rethink the database design in the face of other major changes in the system.

Fourth, an additional layer of security has been integrated in the system to support real-time networking to the highest security standards in the industry. We are still testing this and expect great challenges ahead as we scale our testnet.

Finally, many other minor updates.

3. Torbellino Testnet

Torbellino Testnet refers to our blockchain based on Ethereum technology, roughly speaking. It is the central part of the ttbghv1 concept. It can be deployed on its own, so to speak, and different applications may be connected or integrated to it.

When we started developing this concept we forked standard Ethereum implementations: go-ethereum and prysm. In terms of Ethereum infrastructure, the first PoC basically involved a modified deposit contract and custom parametrizations. We are still testing the possibilitites and will continue to do so as well as to closely follow the developments of this platform.

We are locally testing a modified version of Ethereum, with first results achieving a 12x performance increase while successfully integrating with other technologies and custom applications. We are offering our clients the possibility to join this new network we are building either by setting up their own node or by connecting to ours.

An additional layer of security, integrated with Torbellino Testnet, allows our clients new workflows and new ways to interact with the blockchain with the highest security standards of the industry.

4. 10x AI Optimization

Thanks to our extensive understanding of the computer software industry and our solid integration with deep software supply chains our clients will now automatically get an up to 10x performance increase (depending on size and type of problem) in every run of the optimization algorithms at the core of our system.

As the size of the problem increases the time required to execute the algorithm and find a solution increases more and more. This becomes critical in the case of real-time applications, in which missing a deadline can imply an unrecoverable disruption of the service. Thanks to AI relatively big problems can now be solved in real-time. In our case, we can get this acceleration "for free" since the software that our software depends on (cvxpy) implements these state-of-the-art techniques.

It is expected that we will continue to obtain similar performance increases "for free" as we extend the functionality of our system, since many relevant optimization problems behave in a similar way in this respect and will likely continue to be supported.

In order to get the best of these optimizations specific system/infrastructure requirements may apply.

5. Postgres Database

The Postgres database is one of the core elements of the system.

In this iteration, it has been substantially redesigned to accommodate real-time blockchain indexing and applications.

Blockchain integration with further data structures and algorithms enables new applications in supply chain optimization. In addition, since our software is compatible with Ethereum everything that is built-in is still available. Other possible applications that we are exploring are ecommerce and trading.

We have also worked on integrating the database with some preexisting business software available in the market, and we support integrations on demand (project based).

6. Principles Of Our Current Approach To AI And Beyond

  • Coprocessor: it is more feasible and more effective to limit the goals of AI to certain domains and/or certain parts of the data pipeline, in other words, to consider it a coprocessor of the system.
  • Domain Specific Languages: domain specific languages are the representations of reference with which AI has to reason and interface.
  • Determinism and explainability: system engineering, fine grained definition, understanding and testing of components, and global constraints/upper bounds allow both explainability and determinism. By establishing hard constraints and upper bounds to the operation of AI in the system (limiting its integration with other components, its usage of resources, the functions it has to perform, ...) the system remains feasible, auditable, and deterministic in practice.
  • Reliability: we increase the reliability of our systems by following industry standards, testing components and integrations, limiting supply chain dependencies and prioritizing free and open source software.
  • Standards: following industry standards implies using proven technologies, promoting and executing free and open source software, monitoring standards and contributing to community.
  • Safety: we aspire to provide our clients with even higher security than for our own, delaying security-critical deployments when necessary and following cybersecurity standards and best practices.
  • Universality: we aspire to spread our ideas and technology universally.
  • Critical thinking: we are constantly reexamining our ideas and others.

7. ttbghv2

Looking into the future, we envision great opportunities, many ideas to test and a lot of work. We expect to release a new iteration of this concept next year, with major updates and improvements.


TorbellinoVPN: connect now to Europe's southernmost Ethereum full node

April 5 2026

We are pleased to announce that we have successfully deployed our first Ethereum full node, now also available via our Virtual Private Network with an additional layer of industry-standard, secure, encrypted communications.

This is part of our efforts to participate and contribute to the Ethereum initiative and, more generally, to a more secure, resilient and connected Internet and world. The data that is publicly available and that we have collected directly from the Ethereum public mainnet agree that Spain and, in particular, the south of Spain, is relatively underdeveloped in this universe (compared to other similar regions).

Furthermore, it is a well-known, global, continuous challenge to keep Ethereum and the Internet secure and decentralized at the infrastructural level. This is our contribution from a humble position with limited resources. But there are many regions that are underrepresented or completely disconnected. Apart from the strictly technical challenge there are many other factors, from the energetic to the economical or environmental.

The encrypted communications over VPN add a layer of security with additional benefits well-suited for an enterprise service. We hope that our clients will appreciate this. We are looking to integrate with their operations and to maintain and improve this service progressively. In fact, VPN technology will be used to serve other customized services beyond standard Ethereum or related to other systems or applications.

You can contact us if you want to join or if you just want more details about the service.


How Proof of Work (Bitcoin) is Wrong

April 1 2026

(This is a blog post transcribing a previously published video (25th of Sept. of 2025, see the companies' socials))

1. What is Proof of Work?

So what is proof of work? Here we are considering it in the context of Bitcoin basically because of the relevance of Bitcoin. Proof of Work is a small but nevertheless important part of the consensus mechanism of the Bitcoin protocol. Basically, miners compete to solve cryptographic puzzles, and the first to succeed earns the right to add a block. The purpose is to make altering the blockchain costly, since it would require redoing all of this so-called “work.”

The question here is: what exactly is meant by “work” in this context? Why use this word and not others? The word also invites a discussion of the foundations of Bitcoin. This discussion is relevant because of the relevance of Bitcoin and the observed public discourse (scientific institutions, technological centers, companies, financial institutions, governments, etc.).

2. Possible Interpretations

There are basically two possible interpretations. These are the two most straightforward.

There is the physical interpretation of work.

There is the economics/production/labor interpretation of work.

3. Proof of Work in the Physical Interpretation

First, I am not a physicist, but the details are not important here.

In physics, work has been defined, and the argument is that since Bitcoin mining involves running computations on digital electronic computers, then this qualifies as work because it consumes (electrical) energy. But this interpretation has issues.

Even in physics, the concept of energy is not universally defined. There is no single, general theory of energy (abstract, general, without adjectives). Instead, energy appears in different forms (gravitational, electromagnetic, ...); unified mainly through conservation laws. So even if we accept the reduction of work to energy, the term energy is not completely defined in physical terms.

In other words, given that the concept of energy is already problematic, if we put bitcoin on top of that, so to speak, we get greater confusion. Maybe an acceptable naming would be Proof of Electrical or Electromagnetic Energy. But even this has some challenges I will talk about in a couple of minutes.

4. Proof of Work in the Production/Labor Interpretation

Another possibility is to interpret “work” in the economic or production or labor sense of the word. Mining certainly involves costs: producing hardware, producing electricity, and employing people to maintain operations.

But here, too, the connection is not straightforward. Energy costs, for example, vary greatly depending on location, infrastructure, and regulation. If Proof of Work is meant to prove that energy was spent, the variation in how energy is priced and sourced makes the “proof” highly contingent, and more generally the variation of economic conditions. In other words, if the concept of energy interpreted in the physics domain is problematic, the concept of energy understood as a sector of the economy or as some economical concept is even worse (in the scientific sense). The content of the proof is not really clear, the concept is not clearly defined.

5. Possible Solutions

What are some possible solutions? Some have already tried.

First idea that may come to mind is renaming it. I think there is nothing really wrong with Bitcoin in itself or with the implementation of Proof of Work. The problem is the naming is misleading. We could rename Proof of Work to Proof of Computation. After all, what miners actually do is compute hashes repeatedly until a valid one is found. This is a clearly defined process, and the proof is that the computation has been carried out.

However, even this framing has complications. Computation is not absolute; it depends for instance on computer architecture (at the outset, we cannot ignore this understanding of computing). The same puzzle is approached differently by CPUs, GPUs, and ASICs, each with different levels of efficiency. Basically, variations of the architecture of a computer and further specifications we can consider. A task that is computationally costly for one architecture may be trivial for another. This means that even “Proof of Computation” is not a universally defined concept, in this interpretation (where we consider computer in its most general understanding). This also has to do with the issue of Proof of Electrical Energy, and I will come back again to Proof of Computation in a minute.

6. Solution

A more accurate naming is Proof of Hash, or more precisely, Proof of Signed Hash. This is not pretentious. What miners actually prove is that they have produced a hash that meets the difficulty target, and that it is cryptographically linked to a block and their signature. Both hashing and signing are mathematically well-defined functions. There is no ambiguity here.

Beyond this, further labels such as Proof of Work, Proof of Computation, or Proof of Energy are a stretch if we want to be rigorous. Work and Energy are specifically problematic because of the meanings and connotations.

7. Coda: Proof of Stake

It is useful to contrast this with Proof of Stake. The terminology is more consistent. Proof of Stake literally demonstrates that validators have locked or “staked” tokens. In this case, the name matches the mechanism, and the description is more scientifically accurate. Definitely less inaccurate.

In particular, we can look at Ethereum’s Proof of Stake, the most popular blockchain implementing Proof of Stake. From a computational standpoint, Ethereum is more complex and allows more complex verification processes (which can be specified computationally). Bitcoin’s mechanism, by contrast, is relatively simple: it amounts to proving that a hash with certain properties exists. In fact, the Ethereum Virtual Machine is a Turing complete machine (one of the main proposals in the origin of Ethereum) and this potentially has to do with the verification processes and the definition of Proof of Stake. So Bitcoin’s while consensus is more simple (the machine that processes Bitcoin transactions inside the Bitcoin blockchain is not Turing complete) and narrowly focused on hash computation, Ethereum’s protocol allows a broader set of computational proofs as part of its consensus and execution layers.

8. Conclusion

So in conclusion, how is Proof of Work wrong? It is a terminological problem, that can lead to misleading interpretations in the context of Bitcoin and the more general context of the global economy and commentary by all sorts of organizations (scientific, technological, companies in general, governments, financial, etc.). Bitcoin’s consensus mechanism is technically effective, but the way it is described is misleading. Proof of Work is neither work in the physical sense nor in the economic sense. For scientific integrity, it would be more precise to change the name, maybe call this Proof of Signed Hash.

Finally, this critique is not a claim that Bitcoin cannot serve as a digital coin or payment system. It is only an attempt to clarify misconceptions about its foundation, so that discussions of its role can be based on a more accurate understanding.


Arguments why Europe is the best candidate place to build AI

August 30 2025

1. AI has not been built

First, before even considering this matter, we need the following claim: Artificial Intelligence has not been built. Here AI understood as a truly autonomous system. Basically, the prelude is that we have seen ``AI models'' deployed but none are truly autonomous. I will indirectly argue for this claim in the following.

2. Comparative arguments

Also, before presenting the actual arguments, we need to see this is a comparative matter. ``Europe is the best candidate place to build AI'' compared to something. Basically, compared to the US and China since this is the current situation.

3. The raw computing capacity argument

A metric very often mentioned when talking about AI is the raw computing capacity available. US and China are leading when it comes to raw computing capacity, a valid argument often used against Europe. However, there is an argument that raw computing capacity is not that relevant, and will progressively be less relevant in this context, since the costs will go down and most importantly, since ultimately the hardest task is at the software level (system design).

4. The scientific argument

This argument basically goes like this: ultimately AI is a scientific endeavour and Europe is best positioned at the scientific level. The engineering, which is strictly necessary nevertheless, should lead to some scientific result. In the long run, Europe will come out ahead because it will catch up at the engineering level and it will outperform at the scientific level.

This is a topic I have covered before (youtube channel). Also, see the following argument.

5. The historical (scientific) argument

This argument complements the previous one. Historically, Europe has been the most important region at science. From the scientific revolutions at the origins of modernity even to the troublesome 20th century, Europe has been the center of scientific production.

6. The talent argument

It is often mentioned that most prominent engineers and scientists in the field are from the US and China (and work for US and China based companies). This may be true at some level (I have not formally checked the statistics). However, it can very well just be that they have been able to mobilize better the existing talent towards this goal for now (at some level). It does not mean that the talent is not there.

Secondary arguments here talk about better economic conditions (e.g. better salaries or better economies of scale), which go to strengthen the main argument.

So the argument basically goes like this: there is talent in Europe, it is just that conditions need to change (and these conditions can change).

7. The still early argument

AI has not been built. We are still in the process of building it. In fact, we are early in the process. For now, we have seen some ``AI models'' deployed, that are iterated every year and measured against some benchmarks (a formidable task in and of itself), but there is still a lot of work to be done to get to a truly autonomous system. Even if Europe is behind for now we are still early in the race.

8. The anarchist argument

This argument is probably the most subtle and difficult to see clearly.

Some have argued very strongly in favor of making the AI matter a political matter. Arguments vary: AI for the common cause of the state, AI needs to be controlled by preexisting, accepted society standards and procedures, AI favors from state fostering it and state sponsored programs, \ldots At some level this seems reasonable. For example, we can clearly see a connection with argument 6 and secondary arguments. However, ultimately a political organization is defined by its (political) goals and, regarding technology, a political organization has to and strives to subordinate technology to achieve its own goals. Therefore, in the long run it is not so obvious how these balances of power will come to a resolution.

This argument basically goes along the lines: ultimately there is an implicit anarchist thesis in the concept of AI and Europe is better positioned in this regard.

Anyways, it begs the question: who is really committed to this endeavour?



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