
AI-generated summary
El Premiere Fica is an Argentine news program powered entirely by artificial intelligence, from script writing to video creation and journalist avatars, providing short daily updates on global and local news, including economics, sports, technology, geopolitics, entertainment and weather.
A news program prepared entirely with artificial intelligence, from its content to the avatars of journalists, sparked dissatisfaction in Argentine media circles, which warned of a threat to the profession and the theft of contents to produce this journalistic work, according to what was reported by Agence France-Presse.
“El Premiere Fica” (Coffee in Verlán), presented by artificial intelligence-generated commentators, begins with the phrase “Change the world while you sleep.” Here's what you need to know to start your day.
The program, which promotes technology, Santiago Siri, was launched at the beginning of this September, via the “Instagram” and “X” platforms.
At 7 a.m., the “Vika” program presents a series of video clips, each of which does not exceed about 30 seconds, and includes news collected by artificial intelligence, which writes text and creates video clips in which avatars of journalists speak, in a tone that is not devoid of errors.
The editorial team includes a presenter called Clara Ferrer and six specialists in the fields of economics, sports, technology, geopolitics, entertainment and weather, each with a name and a personality. Their profiles can be viewed on the website.
Among the topics covered by El Premier Fica in recent days are Argentina's 2027 budget, an electric ferry that crossed the Río de la Plata, a briefing from Leandro Chen on drones and interceptor aircraft in Ukraine, and an update from Ricky Bertola on central bank reserves.
Reactions in the media were quick, as Agustín Lecce, from the Buenos Aires Press Syndicate, said in an article published in the daily newspaper “Tempo Argentino” that “the potential massive job losses due to artificial intelligence are cause for concern.”
For its part, the Argentine Press Association, which includes 180 media outlets, described the impact of artificial intelligence as “a structural challenge for the future of journalism,” noting “the necessity of establishing new rules of the digital game,” while acknowledging the efforts made to produce verifiable information, and “preventing technology from becoming a tool for systematic acquisition.”
A German study showed the possibility of using a commercial camera available on the market to accurately measure the efficiency of solar cells, after making simple modifications to it and adjusting it according to an appropriate physical model, in a step that may provide a less expensive alternative to the specialized industrial cameras usually used in laboratories to evaluate the performance of solar cells and panels, which are among the most prominent sources of clean energy.
Researchers from the University of Stuttgart and the Jülich Research Center in Germany modified a commercial camera to capture images of solar cell electroluminescence, a technology used to evaluate cell performance and quality. The results were published on Tuesday in The Journal of Applied Physics.
Electroluminescence is defined as the light that a solar cell emits when an electric current is passed through it, as a result of the recombination of charge carriers within the cell material. This light can be analyzed to obtain information about cell quality and performance.
In their study, the researchers focused on measuring the “quantum electroluminescence efficiency,” a value that is directly related to the voltage of the solar cell and can provide an indication of its performance. In general, higher electroluminescence efficiency is associated with better cell performance. This property is usually measured using specialized, expensive industrial cameras, which require careful calibration to convert the optical signals they capture into quantitative data. But the researchers have shown that a relatively low-cost commercial camera can also make quantitative measurements, provided its physical response is properly characterized and calibrated.
The researchers used a camera that was relatively ill-equipped for this type of photography, because it lacked an internal filter that blocks infrared rays, a component typically found in most commercial cameras. Cameras lacking this filter are also used for artistic infrared photography and night sky photography.
Optical filter
The team added an optical filter in front of the camera lens that allows long wavelengths to pass through, with the aim of reducing visible background light. This made it possible to take pictures of the electroluminescence of solar cells in the infrared range, and then analyze the intensity of the light recorded in them.
The researchers said that electroluminescence images contain quantitative information that goes beyond simply showing which areas are brighter or darker; Using an appropriate physical model of the camera along with calibration, the absolute value of the quantum electroluminescence efficiency can be determined.
According to the study, this data can provide information about the local quality of the solar cell or solar module, allowing for monitoring differences in performance between different areas of it, instead of being satisfied with an image that shows the bright and dark areas without providing quantitative measurements.
According to the researchers, this methodology may help make electroluminescence measurements easier and less expensive. But using a commercial camera does not mean that measurements can be made with any regular camera without equipment; It requires a camera with appropriate characteristics, optical modulation, an accurate physical model, and appropriate calibration to obtain reliable quantitative results.
Next, the team intends to use the calibrated camera to determine the electroluminescence efficiencies and open-circuit voltages of additional, previously uncharacterized solar cells and modules. The researchers also believe that the same model may be applicable to photoluminescence measurements, and perhaps to measurements made in the presence of daylight, which could expand the use of commercial cameras in characterizing solar cells and modules.
Jensen Huang, CEO of NVIDIA, said that he does not agree with the growing warnings about the possibility of artificial intelligence causing the extinction of humanity in the coming years, stressing that the scenarios that talk about the end of the world by 2030 lack a scientific basis.
In an interview with CBS News, Huang said: “2030 will not be the end of the world. The probability that this year will be the end of the world is zero percent.”
Huang criticized what he described as attempts to create fear about the development of artificial intelligence, saying: “Frightening people is unnecessary and irresponsible,” considering that some of the predictions about the extinction of humanity that were put forward recently “are not based on scientific foundations.”
The president of NVIDIA emphasized that his company's interest is directly linked to the safe use of products and services that rely on artificial intelligence, explaining: “The success of our company is directly linked to the safe deployment of products and services. If we do not continue to do this, the value of our company will decline.”
Huang's statements come with the escalation of controversy over the development of artificial intelligence capabilities, which became particularly prominent this month when a young researcher at Anthropic, Jacob Coxon, resigned from his job, warning that technology companies are racing to develop artificial intelligence systems capable of improving themselves in a way that may make controlling them impossible.
He pointed out that a number of his colleagues in this field use phrases such as “crunchtime” and “endgame” to describe the path towards developing models capable of improving themselves, warning that “the people who develop artificial intelligence sincerely believe that it may kill us all by the end of the decade.”
US President Donald Trump rejected calls to regulate the sector through his posts on social media, claiming that any efforts to limit this technology fall within a “conspiracy.”
He wondered why the sector leaders called for the imposition of regulations that, he said, “if strictly implemented, will lead them to extinction and bankruptcy.”
On Saturday, Trump said on social media that he was forming a task force for artificial intelligence and would appoint an “artificial intelligence czar,” but he provided few details.
AI outlook — possibilities, not facts
Discussions about regulating the use of artificial intelligence in journalism and media will continue in Argentina and other countries over the coming months
Likely · Within months
Jensen Huang and other technology sector leaders will continue to oppose dire warnings about the dangers of AI
Likely · Within months

The tech scene has seen the launch of new AI models from Anthropic and OpenAI, while a fully automated news program in Argentina has sparked union concerns, and German researchers have successfully developed a low-cost technology to inspect solar cells using commercial cameras.

The Alibaba Group revealed a plan to expand its data centers internationally, while China is considering adopting its centers on American Broadcom equipment, at a time when Turkey has made progress in evaluating the FATF to combat money laundering.

CNN's Becky Anderson spoke with EatSleep CEO Matteo Franceschetti about developing sleep tracking and bed temperature monitoring technologies to include detection and management of health conditions.

The National Motors Company unveiled the first Saudi electric car, “Exobot,” with a power of 1,111 horsepower and acceleration from zero to 100 km/h in 2.1 seconds, with a design inspired by Saudi heritage and advanced technologies such as electronic steering and an effective cooling system in high temperatures. It aims to produce it locally with a local content of 45% by 2034.

James Hodge of Splunk discusses the challenges of managing artificial intelligence agents, emphasizing the importance of explainability, observability, and determining risk levels before granting autonomy, while highlighting the technology needs of students returning to school.

The United States proposed to China to establish a mechanism for reporting artificial intelligence incidents affecting national security during discussions in New York, amid growing concerns about military repercussions and accelerated decision-making.