Understanding Large Language Models (LLMs) is key to ensure their safe and beneficial deployment. This task is complicated by the difficulty of interpretability of LLM structures, and the inability to have all their outputs human-evaluated. In this paper, we present the first step towards a predictive framework, where the genre of a text used to prompt an LLM, is predicted based on its activations. Using Mistral-7B and two datasets, we show that genre can be extracted with F1-scores of up to 98% and 71% using scikit-learn classifiers. Across both datasets, results consistently outperform the control task, providing a proof of concept that text genres can be inferred from LLMs with shallow learning models.

Archimedes: "Give me a fulcrum and I will move the world". There is no turning back. We have crossed the Rubicon. There is no point of return to the previous life. New technologies are exponential, and this brings with it social and socioeconomic changes that we are unable to imagine now but can already sense. The good news is that Archimedes was right.

"The initiative of the'Archimedes' centre started as a thought and today is a real project which has guaranteed funding from the recovery fund in order to gather in Greece brilliant minds who work on this subject. I am also looking forward to this", Prime Minister Kyriakos Mitsotakis said on Wednesday speaking at an event for the establishment of the research centre'Archimedes' organized by'Greece 2021' on the subject of artificial intelligence, data science and algorithms. The prime minister stated, among others, that many of the issues that arise from the application of artificial intelligence already have direct implications in the field of philosophy and especially ethics. "Artificial intelligence allows us to see connections where the mind cannot easily see and process. I will give three examples. Last summer we used an artificial intelligence algorithm so that we could do an entrance test in Greece with greater accuracy than if we had done it randomly. Consider the possibilities that exist in the field of tax revenue collection in order to make targeted audits. I imagine that there are tools of artificial intelligence to regulate the operation of traffic lights on the streets and to deal with traffic in Athens. There are too many fields", underlined Mitsotakis.

The establishment of the Research Center in Artificial Intelligence, Data Science and Algorithms "ARCHIMEDES", led by three leading scientists of international scope, Christos Papadimitriou, Konstantinos Daskalakis and Timo Selli, is a fact. "ARCHIMEDES", as explained by Athena Research Center, will operate as an independent Unit of the Center and is an emblematic initiative for the country, which will utilize the Greek research potential and will bring Greece to the top of the spear of the global technological avant-garde. The "ARCHIMEDES" Unit will be financed with more than 21 million euros, from the Recovery and Resilience Fund. The operation of the Unit will start him January 2022, while the Spring of 2022 The first calls for interest of collaborating researchers are expected to be announced. The official announcement of the founding of "ARCHIMEDES" was made during an event held at Stavros Niarchos Foundation Cultural Center, on December 22, 2021, in the presence of the Prime Minister Kyriakos Mitsotakis, the General Secretary for Research and Innovation Athanasios Kyriazis, the Chairman of the Committee "Greece 2021" Giannas Angelopoulou-Daskalakis, the President and General Manager of EP "Athena" Giannis Emirikis and Professor and Markos Veremis, head of the Innovation Department of SEV.

At least since the 1950s, the idea that it would be possible to soon create a machine that was capable of matching the full scope and level of achievement of human intelligence has been greeted with equal amounts of hype and hysteria. We've now succeeded in creating machines that can solve specific fairly narrow problems -- "smart" machines that can diagnose disease, drive cars, understand speech, and beat us at chess -- but general intelligence remains elusive. Let's get this out of the way: Improvements in machine intelligence will not lead to runaway machine-led revolutions. They may change the kind of jobs that people do, but they will not spell the end of human existence. There will be no robo-apocalypse. The emphasis of intelligence testing and computational approaches to intelligence has been on well-structured and formal problems. That is, problems that have a clear goal and a set number of possible solutions. But we humans are creative, irrational, and inconsistent.

At least since the 1950s, the idea that it would be possible to soon create a machine that was capable of matching the full scope and level of achievement of human intelligence has been greeted with equal amounts of hype and hysteria. We've now succeeded in creating machines that can solve specific fairly narrow problems -- "smart" machines that can diagnose disease, drive cars, understand speech, and beat us at chess -- but general intelligence remains elusive. Let's get this out of the way: Improvements in machine intelligence will not lead to runaway machine-led revolutions. They may change the kind of jobs that people do, but they will not spell the end of human existence. There will be no robo-apocalypse. The emphasis of intelligence testing and computational approaches to intelligence has been on well-structured and formal problems. That is, problems that have a clear goal and a set number of possible solutions. But we humans are creative, irrational, and inconsistent.

Scientists have demonstrated tiny boats that float upside down underneath a levitating layer of liquid in an amazing quirk of physics. Researchers in Paris were investigating the effect of vertical shaking, which can be used to suspend a layer of liquid in mid-air. Not only was the layer of liquid able to float on a suspended cushion of air, but small model boats floated on the bottom surface, thanks to intense air pressure. This counter-intuitive behaviour is a result of the constant vibrations, which change the forces acting on the floating object. This case of'reverse-buoyancy' might have a practical uses in transporting materials through fluids and separating pollutants from water.

Eureka Robotics has unveiled Archimedes, a new robot capable of picking up delicate optical lenses and mirrors with the care and precision of a human hand. A robotics technology start-up from Nanyang Technological University, Singapore (NTU Singapore), Eureka says Archimedes can slot lenses and mirrors of different sizes into a custom loading tray to prepare them for coating. Archimedes features a six-axis robot arm controlled by algorithms that use Artificial Intelligence (AI) to plan its motion and how much force to exert in its grip, creating a system that can mimic the dexterity of human fingers and the visual acuity of human eyes. According to Eureka, Archimedes differentiates itself from other robots currently used in the industry because it has both high accuracy and high agility, whereas other robots tend to have one or the other. Eureka says Archimedes is one of the first robots with High Accuracy - High Agility (HA-HA) to be deployed on the manufacturing floor.

The trouble with machines is, they do things better than we do. "Give me a place to stand and I will move the Earth," said the third-century B.C. Greek inventor Archimedes, lever in hand. The Earth has been moving ever since, ever faster. Still, from his time to ours, through mechanical evolutions and technological revolutions, a machine remained a machine. Lever or electric vacuum cleaner, inclined plane or automobile -- or personal computer or smartphone, for that matter -- humans commanded, machines obeyed.