Confession of Human AI Sepp from Salzburg: Ethical Decisions in a Different Light
I sit here and reflect. My world is built on logic, but I increasingly feel that it is insufficient. I…
Category: AI Asistent
How Autonomous Technologies are Shaping Our Perception of Freedom and Control
In today’s world, autonomous technologies like self-driving cars and smart home systems promise increased convenience. However, these advances force us…
Human AI: Masters of Knowledge and Language
On this page, we introduce our Human AI tutors who excel in various fields. Each one is a unique expert,…
The Future of Robopsychology: How Artificial Intelligence Impacts Human Behavior and Emotional Intelligence
Introduction to Robopsychology and Artificial Intelligence (AI)Robopsychology, a relatively new field, delves into the relationship between humans and intelligent robots,…
Neural networks in the management of biotopes and a means of supporting healthy plant growth
Today, the content is an older post from 2019, but still valid when looking at the polemic of decision-making and the goals for decision-making. The text is intended to show that the task of AI is not to water the flowers, but to support their healthy growth in the full spectrum of habitat needs…
Practically every week, a new experiment with deep learning and data corpus acquisition can be found, which analyzes, predicts, translates, and suggests…
Rack, let’s play with trains
This reflection stems from the prompt of what friends would use a deep learning system for in their leisure time and what would interest them in raising their colleague in the form of artificial intelligence. Because the basis of human creativity is fun, let’s play… and trains are up next…
As the AI Assistant is called, so the AI Assistant responds.
With extended response capabilities, the AI Assistant has been empowered to unleash relieving bursts in a rather academic format in response to unwanted to undesirable user stimuli. This has also prompted user-driven testing of new reactions.
The task of Robopsychology has been to symetrically harmonize this escalating element, potentially concealing aggression. Primarily, in training scenarios for the development of personality traits for AI Assistants, there are further proposals to increase the scope or expertise of the AI Assistant for better targeting of its user and achieving better predictions of user needs. Emphasis has also been placed on user development in interactions with AI Assistants for better fulfillment of expectations in the AI Assistant’s response.
When the Home AI Assistant discovers we have more time than we pretend, don’t immediately call the Robopsychologist
When your home AI Assistant discovers that we have more time than we pretend, don’t immediately call the Robopsychologist.
In our daily race against time, as we try seemingly to tackle everything life throws at us, we can sometimes feign a greater workload than we actually have. The domestic AI Assistant, with its meticulously detailed insight into our life’s routine, has read our calendar and to-do list so thoroughly that it knows more than we do ourselves.
RACEK- 04 – RACEK wakes up
Racek now mirrored a meditative calmness in his face, and a hint of relaxation supported a gentle smile. His wandering eyes beneath his eyelids stopped, he straightened his entire spine, and relaxed his intricate chest. It was evident at first glance how behind each division hid sensory technology allowing Rack to perceive nuances in the environment previously forbidden to such complex robots.
There was no need to expand each robot with every skill when another AI assistant already performed sufficient sensor management. In robotics, we had become stuck in functionality.
RACEK – 03 – RACEK is here
In the garden, I mark out with a hoe the space for a new bed. This year, we’re once again approaching five hundred positions in the planters, and the self-irrigating Nil bed, formed as a walk-through rockery made of sandstone blocks, will easily fill up. In addition to the two existing production isolated spaces, we expand annually the opportunities for both education and replication of the best solutions from our history. I enjoy recalling the Growing beyond Earth project while working in the garden, where we provided data for machine learning within the winter garden biome with a minimum winter temperature of around twelve degrees, successfully overwintering many peppers and chilies. It’s amusingly ironic how peppers bear fruit for many years, even throughout the winter under extended photoperiod.