The Steady Path Towards Artificial Super Intelligence (ASI)
Extreme Efficiency & Productivity
Following accolades such as Best Trading Platform in Europe, Top Analytics Superstar in the UK, and Best Innovation in Simulation in the UK, our co-founders embarked on a journey to create a cutting-edge Fintech solution with unprecedented efficiency and productivity in trading. In order to manage the company holistically, they started to analyze all-in-one enterprise software. They were not convinced. So they decided to research on the best way to create it, algorithmic-native seeking legacy flexibility, and developed it themselves.
For more detailed information, refer to the public papers published by our Centre of Excellence on
Efficiency & Productivity.
Thus, as opposed to our largest competitors, our platform is rooted on scientific innovation instead of IT development. It is intended not to simply adapt to the latest industry standards but, whenever needed, to become state-of-the-art. Thus, the asset becomes the competitive advantage of our clients - from global listed companies to SMEs (as part of our ESG commitments).
CoE
Centre of Excellence (CoE): the core that defines the path towards ASI and provides the theory to achieve it. By following that path any tech legacy is aligned with the future - a major advantage.
B2B
B2B service provision company: it shall realistically prove the tools that are created along the path and test them within the industry. Thus, it can be bootstrapped -a best practice for at least a decade to avoid misguidance by investors' urgencies.
B2C
B2C parallel evolution of tools: letting human users thrive in a world of state-of-the-art machines is a must.
ESG
Environmental, social and governance (ESG) commitment: optimising a Group like this is far more complex than looking at its P&L. It should consider its overall impact instead.
Date |
Title |
Pages |
Paper Description |
Tags |
---|---|---|---|---|
16/09/2024 |
19 |
** Reached SSRN Top 10 List ** This essay (a) overviews the literature of Algorithmization to provide the reader with a solid background to discuss Modern Cybersecurity; (b) introduces new high-priority risks to be considered by both business and cybersecurity teams; (c) roots the resourcing of cybersecurity on the hybridization between business, compliance and cybersecurity; (d) discovers novel capacities unlocked by an algorithmic-native platform to harmoniously orchestrate both business and cybersecurity; (e) seeds the future of the business and its continuity-at-risk on tactical technology; and (f) motivates a new breed of hands-on research in collaboration between companies and research centers upon platforms that follow the Three-Layer Company model. |
cybersecurity, Algorithmization, CNE, CNA, hacking, transformation, Digitalization, tactical technology, standardization risk, market price hacking, AI, ANI, AGI, ASI |
|
12/08/2024 |
22 |
** Reached SSRN Top 10 List ** This essay (a) simplifies the understanding of Applied Science; (b) explains Neural Networks (NNs), Large Language Models (LLMs) and Generative AI (GenAI) as a base for a sound discussion on Artificial General Intelligence (AGI); (c) rooted on the Algorithmization of companies, it proposes defining AGI as an interconnection and intersection of agents that are Artificial Narrow Intelligences (ANIs); (d) discusses the evolution from AGI to Artificial Super Intelligence (ASI) within the Algorithmization framework; (e) discloses the structure behind the authors' public achievements (papers and awards) for the reader to understand our holistic approach to ASI; and (f) while avoiding discussions about sentient machines it motivates companies to seek their own ASIs towards dynamically competing via efficiency & productivity. |
ASI, AGI, ANI, AI, Neural Networks, Algorithmization, Transformation, appied science, LLMs, GenAI |
|
17/01/2024 |
7 |
This paper introduces the Three-Layer Company approach. It is a lean way to understand the distribution of the technology across a project (people vs platform) for senior managers to be able to understand and challenge better their Algorithmization process. It brings to the surface the fact that, oftentimes, the more people there is in tech in a company the less tech there is in place - which, even though it makes sense, given the fact that technology brings massive efficiencies, it is the opposite to the KPIs that have become trendy during the last decade. Once that part is mastered, being able to interconnect departments within a company (unlocking of new business approaches), merge companies of a similar sector (private equity's M&A) or simply take a company to its NextGen level becomes a transparent, neat process |
Federation, Transformation, Synergies, Efficiency, Growth, M&A, Tenders, Infrastructure, Algorithmics, Algorithmization, SMEs |
|
25/09/2023 |
15 |
This essay explains why it is so difficult for shareholders to find senior managers that seek to go through the process of algorithmization towards benefiting from Maximal Efficiency. It has happened in blue collar companies but not yet in white collar ones. The barrier-to-entry to create such type of technology is very large and, if they decided to create it on their own, there are no low-hanging-fruits along the way. As an equilibrium, then, it seems an area that needs to be fully covered by external, algorithmic-native ERP software. However, there is a Pareto Superior: if that software is federated (FedTech) the evolution is hybrid hence, ad-hoc - i.e. again a new use case where to apply Data MAPs |
Transformation, Digitalization, Digitalwashing, Algorithmization, CEO, White Collar Factories |
|
13/05/2023 |
14 |
This essay gives rise to a major discussion: can top-end academics have a significant say on Applied Science? The answer is no unless they have relevant experience as well on the domain (at least, Microeconomics) in order to understand science as a tool, not a target. They also need to understand the software architecture, regulation and usability in order to be able to have a sound judgement. Last, they are used to create a solution upon a sole model. Real world solutions require the combination of experts' heuristics and a myriad of models |
AI, Machine Learning, Applied Science, Augmented Machines, AI Ecosystems, Autonomous Machines, Avatars, Algorithms, Algorithmization, Federated Technology, Transformation, Digitalization |
|
28/04/2023 |
11 |
** Reached SSRN Top 10 List ** This essay argues why FinTech is rapidly converging into incumbents. Their technology is based on a database (data-driven) which is not enough to take the algorithmic step towards maximal efficiency. Further, the solution in this sector is fairly easy: the retail banking technology shall be started from algorithmic trading technology. If a company can hedge using different dynamics across depths of the order book and different baskets dependent on the context then, it can surely transfer money from A to B. In between, it can also advice for wealth management, manage portfolios, become an insurer (half of whom are asset managers) and democratise trading intelligence to retail as brokers. This is called vertical integration and, we believe, the only way to create a banking champion |
Banking Platforms, Synergies, Vertical Integration, Collateral Signalling, Algorithms, Algorithmic Technology, Federated Technology |
|
10/01/2023 |
5 |
** Reached SSRN Top 10 List ** This essay discloses how to move portfolio management from aggregations to strategies. Your shares in Apple are not all the same - they are not really fungible from a risk perspective. Which shares belong to which strategies? How are those performing? What are the alternative names to consider instead of Apple? If at some point you have too much exposure to US and you want to reduce it, which shares of Apple shall you let go? Artificially moving your portfolio management from particular views on a number of strategies deployed to aggregated, cross-portfolio KPIs is, indeed, bold. And to avoid it, all dimensions of an strategy shall be considered - Dimension-Driven Portfolios (DDP) |
Portfolio Management, Risk Management, Asset Management, Algorithmics, Platforms, Innovation |
|
10/01/2023 |
4 |
** Reached SSRN Top 10 List ** This essay proposes a new way to manage portfolios so that the investors can neatly understand their basket based on a reference (beta); an enhanced version of such reference (alpha 1 - statistical arbitrage ecosystem) and advanced set of free strategies (up to algorithmic market making). This allows asset management companies to have a better control of the overall risk taking as well as to better define performance attribution and to better attract and retain talent (keener on algorithmics than traditional finance) |
Portfolio Management, Risk Management, Asset Management, Algorithmics, Algorithmization, Digitalization, Platforms, Innovation |
|
10/01/2023 |
3 |
This essay explains how to leverage the expertise of portfolio managers while releasing them from operational tasks so that they can concentrate more on research. It is part of the Augmented Machines approach we coined in 2012, advocate for ever since and nurture everyday. Our WallStreetLand.xyz community is based on this sole idea |
Portfolio Management, Risk Management, Asset Management, Algorithmics, Platforms, Innovation |
|
10/01/2023 |
4 |
** reached SSRN Top 10 List ** (Didn't see this coming!) This paper was written for NATO and demanded by the Spanish army. It covers how to take over a country without needing to set out a war but by hacking into the board through the equity markets. Once in the board of the most prolific companies of a country you can influence it towards your own benefits. How? Leveraging a combination of algorithmic trading technology assets along with digital agents that underpin the former hack through cognitive games |
Augmented Machines, Cognitive Warfare, Social Networks, Fake News, Algorithmization, Military |
|
15/10/2022 |
107 |
** Reached SSRN Top 10 List ** The natural alignment between business and architecture within big techs has boosted their transformation (crucially, upon API-fication and synergies exploitation) compared to that in the rest of organisations. The efficiency gap is so large that even the latter fear the irruption of big techs in their own arenas. Nevertheless, organisations have lately lost control of their architectures. They have become a mix of services offered by big techs and orchestrated by external consultants. Such a dynamic has naturally led to a large convergence between architectures across industries in spite of their idiosyncratic differences. Hence, there is room for improvement through a transformation governance that optimally weighs both microeconomics and microservices. As neither of the fields is easy to master, such an improvement remains a greenfield. This paper proposes a novel data architecture paradigm, Data MAPs, that helps organisations take control of their transformation journey by becoming platforms - i.e. unlocking convergence with big techs’ efficiency levels. Further, it surpasses the theory by having evolved Data MAPs' first instance for the last 7 years. Along that time, the authors gathered real examples that filled out a cube defined by a series of dimensions significant enough to assert the universal validity of their approach |
Data Architecture, Transformation, Algorithmization, Machine Learning, Enterprise Software |
From exploration to exploitation
We aim to pioneer a new frontier.
Systematic UX and avatars
Systematic User Experience - when instead of an individual it is a micro agent that consumes a service so that she can scout the information from as many services as possible.
Avatar Calibration led to the inclusion of the role of the human into the machine in a novel way, giving rise to Augmented Machines.
Augmented Machines
Yet another greenfield focused on helping experts find new roles on processes of deep transformation of businesses.
There are more usages of this type of approach in the field of cyber security.
Cyber security
However, for obvious reasons, we won't publish them.
Experts are too smart and skillful to think that they can be substituted by machines directly.
WallStreetLand.xyz
Our community, Wallstreetland.xyz, is a practical example of how to let humans provide machines with high frequency research so that the business ANIs can deliver better performance by incorporating human ANIs.
Keynote speakers for FERMA's 50th anniversary (along with Swiss Re and Microsoft)
Event
FERMA
21/10/2024
The major gray rhino in transformation: tech has to be crafted, not stacked. Companies are starting the cake by the cherry on top and tech providers are driving them to NPCs.
See More!Co-panelists along with Microsoft, SAP and Telefónica
Event
EXPANSION
25/09/2024
AI is in fact computational statistics. That means it is built upon greedy iterations. And those are not smart but expensive in terms of energy. Algorithms shall not leverage so much energy, there are a myriad of things to be done far more relevant than iterations.
See More!Keynote speakers for the first meeting of ICADE's Chair on Asset Management (along with McKinsey)
Event
ICADE
17/09/2024
Transformation does not have impact as it is started by the cherry on top. Then, we had a look at our trilogy of papers on AM.
See More!We will provide our SciTheWorld [trA.I.ning] to the executive programme of Acciona
Partnership
Universidad de Nebrija
12/09/2024
Algorithmization as a whole new discipline that mixes microeconomics, machine learning and software design. We will connect and synthesize all of our papers as well as provide hands-on experience leveraging our platform.
See More!Elliott sentences Artificial Intelligence: "Many of its theoretical uses will never work"
News Article
El Confidencial
04/08/2024
One of the world's most important hedge funds warns of the poor correlation between the promises of Artificial Intelligence and its concrete reality. It is part of a conflict with several aspects to consider.
See More!Algorithmization: the next frontier of digitalization - Sergio Álvarez-Teleña
Event
MoraBanc
15/04/2024
Presentation at the Digital Assets, Technology, and Innovation Conference of MoraBanc on 04/24/2024 by Sergio Álvarez-Teleña - PhD CEO SciTheWorld.
See More!Why has "Sora" triggered madness on social media? An Artificial Intelligence expert explains
News Article
Antena 3
22/02/2024
"Sora," the latest application created by OpenAI that generates hyper-realistic videos, has sparked debate on social media. Many users wonder if there will be some kind of regulation to control it.
See More!The dialogue between a philosopher and an AI expert: "AI is not intelligence but efficiency"
Talk
Ethic
29/01/2024
Sergio Álvarez-Teleña and José María Lassalle discuss the myths and realities surrounding artificial intelligence, the human, labor, and democratic risks it entails, and possible solutions from an ethical perspective.
See More!Sergio Álvarez, CEO of SciTheWorld, on AI regulation: "We might be shooting ourselves in the foot"
Article
Antena 3
02/06/2023
The co-founder of SciTheWorld analyzes the effects of Artificial Intelligence regulation. The EU is already working to put 'limits' on this technological tool.
See More!Experience at Morgan Stanley, Santander, and BBVA. Sergio Álvarez Teleña
Podcast
La City Podcast
04/01/2023
Today, Sergio Álvarez comes to the podcast to share his experience as an algorithmic trader within the industry. Learnings, mistakes, and how he has evolved... Also, his current moment as an entrepreneur with algorithms.
See More!Identifying oneself to enter the metaverse: the end of internet problems? Expert Sergio Álvarez explains
News Article
Antena 3
17/02/2022
What are the effects of the metaverse in real life? The expert economist in algorithmic trading and Artificial Intelligence, Sergio Álvarez Teleña, explains.
See More!Sergio Álvarez-Teleña: Deep Tech and quantitative trading | La Hora Alfa Quant
Podcast
La Hora Alfa
10/11/2020
In today’s podcast, our Alpha Team member Eriz Zárate sits down with Sergio Alvarez-Teleña, board member and founder of SciTheWorld. In this episode, we will talk about how the complexity of modeling financial markets requires certain skills to "hack" the system while optimally managing the tools that science offers us, such as artificial intelligence. Be prepared for a journey into the depths of quantitative management in financial markets with Sergio, who has been successfully dissecting them for many years.
See More!The Santander and BBVA executive who left everything to start an algorithm auditing firm
News Article
vozpopuli
25/03/2019
He passed through BBVA, Banco Santander, and Morgan Stanley. Three significant notches on his belt, but he left the West of financial sharks for a fishbowl where he seeks to impose justice in the emerging algorithmic world. Who watches the watcher? Who controls the algorithm? The answer is SciTheWorld, a company that Sergio Álvarez-Teleña founded with Marta Díez-Fernández, also from Asturias like him.
See More!Sergio Álvarez Teleña, PhD in computing, creator of digital brains
News Article
EITB
30/09/2018
"One day I said I’m not going to just use algorithms, I’m going to create them, and since then I’ve been dedicated to building digital brains," he tells us from Oxford.
See More!Our avatars, the best allies with AI | Sergio Alvarez-Teleña | TEDxValladolid
Event
TEDx Talks
31/10/2017
Is it possible to create a machine-human symbiosis that enhances both? Sergio Alvarez-Teleña believes so and asserts that Artificial Intelligence is more robust when augmented by human knowledge. To this end, he proposes a solution based on AI techniques that build your Avatar in the digital financial world, which can be extrapolated to other areas, creating the foundation for what could be a new economy to compensate for the job losses expected in the coming years. Artificial Intelligence Creative. An economist and expert in algorithmic trading and Artificial Intelligence searching for future solutions in the new AI environment. A new environment we have created that is already present in our lives and will change them forever. Honorary Researcher at University College London, where he earned a PhD in Machine Learning. His work has been selected by the prestigious EPSRC UK due to its Impact on the Digital Economy, as a pioneer in demonstrating the virtues of the human role in a machine-driven world. After being Global Head of Algorithmic Trading and Data Science at BBVA, he founded SciTheWorld where he explores new human-machine convergences and applies the advances and achievements made with algorithms in finance to other verticals, convinced that the AI revolution is a fact, and it is time to learn how to manage it.
See More!The Spaniard who is going to transform investment banking with new artificial intelligence
News Article
El Confidencial
17/07/2017
A Spanish expert in algorithms blends the talent and idiosyncrasies of humans with the power and capability of machines for the world of finance.
See More!