The Maps of AI
Despite some advances in machine learning, in the sub-symbolic AI paradigm we have mainly increased the amount of data from which algorithms learn. As a result, AI could look very different today.
Democratizing the access to high-quality data-driven solutions fast and affordable, is essential for the economic vitality of the whole domain of data dependent companies including AI-startups. The low-threshold availability of AI-solution will challenge the crippling market dominance of the well known BigTech-companies. It will open up the market for competition and innovation on all scales. It will generate a diversity of ways of independence bringing economic flexibility and elasticity vis-à-vis the unexpected in our lives, that in the end will allow all of us to turn even the bad things into chances.
Some time ago we realized that AI itself had reached a dead end where nothing else can be expected but the end of all funding, triggered by the realisation that LLMs are at a technological dead end. For we had made progress in AI not so much by changing our algorithmic problem-solving skills in the last decades as by using more data to learn from. To prevent any exaggeration we are driven by the goal to prove the ability of AI technologies to increase general productivity.
Innovators have dreams, to which they always return. And we understand that. But 85% of all data-driven startups fail to deliver anything - underestimating the math works with the data. Hence we work for sustainability in personal and intellectual development in all data-driven businesses, for the live time and otherwise lost passion, work and resources of the innovators, entrepreneurs and employees. We work for the long term prosperity of AI.
We are collaborative, solidary, clear, concise, authentic. We share, what we know, we are playful and curious also at the world sideways, but recognize, respect and rate the humanity in others always higher than our own profit. We are creative and crave for mastery in what we are doing. We lead by having followers, that voluntary support us, because they understand, that we support them to make the best out of themselves and their businesses.
Our mission is to work with you to develop an innovative and technically realistic idea and turn it into a scalable product from start to finish based on a tailored product roadmap using all sorts of deep tech. We offer you all the expertise and skills needed to plan, create and launch your next data-driven digital product We work for the long term prosperity of AI.
Despite some advances in machine learning, in the sub-symbolic AI paradigm we have mainly increased the amount of data from which algorithms learn. As a result, AI could look very different today.
Kurt Gödel once said that either mathematics is too big for the human mind or the mind is more than a machine. At the moment, the evidence that we have collected in the last 50 years points to the second option.
Rapid prototyping is a method that aims to clarify open questions at the start of a project as quickly as possible, to find the most solid basis possible for further developments at the lowest possible cost and to uncover the ‘unknown unknowns’.