Some researchers analyzed 280 samples of bottled water. Only one of the brands was microplastics free

Better flavor and smell and health reasons. Those are the two main reasons why people drink bottled water, according to A study of the Autonomous University of Barcelona. Spain is, in fact, The third European country that consumes more bottled water (up to 107 liters per inhabitant). That clashes with one thing: that bottled water is not only Much more expensive than tap waterbut now we know that it also has micro and nanoplastic in amounts much greater than those estimated. The original study. Some researchers from Columbia University They analyzed Three popular bottled water marks in the United States (whose names names have not transcended) in search of micro and nanoplastic. To do this, they used a new technique called Raman stimulated dispersion microscopy Based on probe samples with two tuned simultaneous lasers to resonate specific molecules. Analyzing seven common plastics, the researchers developed an algorithm to interpret the results. According to Wei Min, co-inventor of the technique and co-author of the study that concerns us, “one thing is to detect and another to know what you are detecting.” The findings. On average, this study discovered that a liter of bottled water contains 240,000 detectable plastic fragments, between ten and 100 times more than previous estimates. Specifically, the researchers claim that they found between 110,000 and 370,000 plastic fragments in each liter, of which 90% were nanoplastic. In that sense, it is important to remember the difference between micro and nanoplastic: Microplastics: those whose size varies between 100 nanometers and five millimeters. Nanoplastic: those whose size is equal to or less than 100 nanometers. The most frequent plastics. To anyone’s surprise, one of the most common plastics was the Terephthalate polypropylene, better known as PET. It is the material of which many bottles are made. “It is probably introduced into the water when pieces are detached when the bottle is squeezed or exposed to heat,” says the researchers, who cite another study that suggests that they can also detach themselves when the cap repeatedly opens and closes. Usual. And although the presence of PET is common, this plastic is overcome by the polyamide, a type of nylon that “probably comes from the plastic filters used to supposedly purify the water before bottling it,” says Beizhan Yan, a researcher of the study. Other common plastics found by the researchers were polystyrene, polyvinyl chloride and methyl polymetacrylate. And the rest? The technique used contemplates the seven most common plastics, but there are many other plastics. According to exposes Columbia University, “the seven types of plastic that researchers sought only represented about 10% of all the nanoparticles found in the samples; They have no idea what the rest are. If all are nanoplastic, they could be dozens of millions per liter. ” And what about those sold in Spain? That’s what he wanted to find out A study by CSIC and the Global Health Institute of Barcelona. They have developed a technique To quantify particles of between 0.7 and 20 micrometers, as well as the chemical additives released to the water and, for this study, analyzed 280 samples of 20 trademarks of commercial water. Only one of the brands did not contain microplastics, but all, the 280 samples, contained plastic additives. More specifically. The result is that, on average, a liter of water contains 359 nanograms of micro and nanoplastic, an amount comparable to that obtained in the tap water found in a previous study made by the same group. “The main difference we find is the type of polymer: in tap water we find more polyethylene and polypropylene while in bottled water we have mostly detected polypropylene terephthalate (PET), although also polyethylene,” said Cristina Villanueva, a researcher of the Isglobal and Author of the study. Quite microplastic. Considering that we drink two liters of water a day, the authors estimate “an intake of 262 micrograms of plastic particles per year.” With regard to additives, 28 plastic additives, mostly stabilizers and plasticizers have been detected. According to the researchers, “our toxicity study showed that three types of plasticizers had a higher risk to human health and, therefore, should be considered in risk analysis for consumers.” Images | Jonathan Chng in Unspash In Xataka | The US has decided to leave paper straws because everyone hates them. The problem is the alternative: plastic In Xataka | After the failure of the yellow container, the government has reached a conclusion: it is time for the returnable bottles *An earlier version of this article was published in February 2024

Some researchers have analyzed the impact of sugary drinks on world health. They have taken their hands to the head

The sugary soft drinks conquered the world a few years ago. Thanks to its flavor and Marketing strategiesthe soft drinks became the very image of globalization. Little by little we began to be more aware of the health hazards that the excessive consumption of these drinks carried, so much that, even in some European countries it was created THE REFRESCO TAX. With the, The consumption of free sugars was reduced In certain cases. But a new one study It reveals that its intake is still very high in many countries. So much that there is an alarming link between the usual consumption of these drinks and millions of new cases of Type 2 diabetes every year. Sugary pandemic. The trigger has been a study by the University of Tufts, in the United States. Reviewing the drinking data of the global dietary database, a database with more than 450 surveys with information on the consumption of sugary drinks and a sample of 2.9 million people belonging to 184 countries, they ran into an elongent figures . Approximately, and according to this study, sugary drinks would be related to 1.2 million new cases of cardiovascular diseases and 2.2 million new cases of type 2 diabetes. Every year and worldwide, something surprising if we take into account The normalized and integrated that these drinks are in all societies. The reasons. It is not a novelty that sugary drinks are related to type 2 diabetes, obesity and other disorders, but the reason is that they are foods that are digested quickly, causing very pronounced blood glucose spikes without providing essential nutrients. They are empty calories like those that a beer can have, but with a much larger amount of sugars. This absorption process, repeatedly, contributes to the weight gain already most important: insulin resistance that carries metabolic problems related to the aforementioned diabetes or cardiovascular diseases. Many cases, but … What does it mean? According to the study, 80,000 deaths per year for type 2 and 258,000 diabetes due to cardiovascular diseases related to soft drinks. Latin America and Africa. In countries that have fought in recent years to promote healthier diets and lifestyles, as well as the taxes we mentioned a few lines, that sugar consumption has decreased, but it is not something that happens throughout the world. In fact, in the study, researchers have focused on two territories: Latin America and Africa. According to these data, in Mexico the usual consumption of these drinks with almost a third of the new cases of diabetes is associated. In Colombia, the percentage rises to almost half. And in South Africa, about 28% of new cases of diabetes and 15% of new cases of cardiovascular episodes are related to these drinks. The explanation they have found is simple: in countries and communities with lower average income, little access to information and more limited preventive medical care, cases are triggered. Not all. Now, what drinks are we talking about? The study focused on the data of the sugary drinks with added sugars and, at least 50 kilocalories per 240 milliliters of product. It is something that includes soft drinks, energy drinks, fruit juices with added sugar, punch and even water with flavors to which sugar is added. Outside the focus is milk (which also has sugar), 100% natural juices without additives and without calorie products, being these sweetened drinks without added sugars. Of course, these drinks may be in the spotlight of subsequent studies, since researchers point out that, although they do not have added and not naturally present sugars, excessive consumption can also have negative health effects. Solutions. Laura Lara-Castor is the main author of the study and Comment that “urgent and evidence -based interventions are needed to curb the consumption of sugary drinks worldwide before more lives are shortened by their effects.” Dariush Mozaffarian is another of the authors, who believes that, above all, much more interest in Latin American and Africa countries should be put. Mozaffaian sees this as a real epidemic and considers that, “as a species, we need to address the problem of sugary drinks.” Now, as with almost everything, the study emphasizes the high and constant consumption of this type of drinks, since under normal conditions, a sporadic soda (without being healthy), is a whim that we can afford. In the end, the study does not want to focus on individual responsibility, but in a collective that involves governments and health systems. And, perhaps, at the most complex: The industry that creates that type of drinks. Image | Xataka In Xataka | There was a time when Coca-Cola had ‘cocaine’. That no longer has it is due to something surprising: racism

Some researchers claim to have created an AI as good as those of Openai and Deepseek for $ 50. And the data is real

The cost of training of models of artificial intelligence (IA) More advanced is in the spotlight. And it is understandable that it is so. The irruption of the Chinese company model Deepseekwhich presumably has A moderate training costhas questioned the strategy and investments deployed so far by OpenAi, Google or Microsoft, among other companies. A brief review before moving forward: those responsible for Deepseek argue that the infrastructure they have used to train their agglutin model 2,048 chips H800 of Nvidia. And also that this process with 671,000 million parameters has cost 5.6 million dollars. However, some analysts defend that these figures do not reflect reality. The report prepared by SEMIANALYSIS He maintains that, in reality, the infrastructure used by Deepseek to train his AI model approximately 50,000 NVIDIA GPU with Hopper MicroAritecture. According to Dylan Patel, AJ Kourabi, Doug O’Laughlin and Reyk Knuhttsen, at least 10,000 of these chips are GPU H100 of Nvidia, and at least another 10,000 are GPU H800. The remaining chips, according to these analysts, are the cuts cut H20. The ‘S1’ model takes more firewood On January 31, a group of researchers from Stanford University and the University of Washington, both in the US, published in the repository of open access scientific articles Arxiv A text in which it claims to have managed to train an AI model with reasoning capacity and benefits comparable to those of OPENAI or DEPEEEK O1 models facing an investment of just under $ 50. A boat soon seems impossible. With that money a priori it is absolutely unfeasible to train an artificial intelligence model. And less an advanced and capable of competing from you to you with those of OpenAi or Deepseek. However, it is true. To understand how they have achieved it We need to investigate the strategy they have devised. On the one hand, those 50 dollars represent the cost of renting the cloud computing infrastructure to which they have resorted to carry out the training. It makes sense if the time invested is very moderate. ‘S1’ has been elaborated from the free qwen2.5-32b model developed by the Chinese laboratory Qwen But there is something else. Something very important. His reasoning model, which they have called S1, has been elaborated from the free artificial intelligence model QWEN2.5-32B developed by the Chinese Laboratory Qwen, alibaba. And its reasoning process is inspired by the GEMINI 2.0 Flash Thinking Google model. They have not left zero at all. An interesting note: the S1 model is available in GITHUB together with the data and code used by these scientists to train it. On the other hand, the training process lasted less than 30 minutes using only 16 NVIDIA H100 chips belonging to the cloud computing network used by these researchers. From here comes the cost of Somewhat less than 50 dollars. However, there is another data that is worth not overlooked: the S1 Reasoning Model has been generated by distillation of the Gemini 2.0 Flash Thinking experimental model. Distillation is, in broad strokes, an automatic learning technique that allows the knowledge base to be transferred from a large and advanced model to a much smaller and efficient. This strategy saves many resources, although it does not serve to create models from scratch. Beyond the caraded 50 dollars of cost, the really important thing is that, as we have just verified, it is possible to put to tuning models of very competitive facing a much more restrained investment than those made by the large technology companies so far. Image | Luis Gomes More information | Arxiv | GITHUB In Xataka | Samsung is preparing to give TSMC a bars where it hurts most: the manufacture of the chips for ia

“They are brilliant researchers under the control of an authoritarian government.” Anthropic’s CEO has spoken about Depseek

In the midst of the stir caused by the latest models of the Deepseek, the CEO of Anthropic, Dario Amodei, has published An analysis on its personal website in which it questions the narrative of the “Chinese miracle” in artificial intelligence. Why is it important. The debate on Chinese capacity to develop advanced AI has monopolized the agenda in recent days after Deepseek’s releaseswhich have come to provoke A 17% drop in Nvidia shares. The facts. Deepseek claims to have developed its model V3 for just under 6 million dollarswhile Amodei explained that Claude 3.5 Sonnetthe last and most advanced Anthropic model, required “some tens of millions” in training. Far from the “thousands of millions” that were speculated. “Deepseek has produced a model close to the performance of US models 7-10 months ago, for a rather lower cost, but not in the proportions that have been suggested,” said the CEO. Deepseek operates with about 50,000 generation chips Hoppera capacity that Amodei considers similar to that of the main American technological ones. According to his analysis, Deepseek’s advances reflect the natural reduction of costs in the sector, estimated at annual 75%. The context. Deepseek has presented two models: V3, which uses traditional training. And R1, which incorporates reinforcement learning. For Amodei, real innovation is in V3, not in R1, which according to him, follows roads already explored by other technological ones. Turning point. The development of an AI superior to human intelligence will require millions of chips and tens of billions of dollars in the coming years. “Between 2026 and 2027 we will see which will be smarter than almost all humans in almost all tasks,” he said. In this scenario, he has defended Export controls as a strategic tool. Amodei has also recognized the talent of Deepseek engineers … although he has warned about the implications that a company operates under the control of the Chinese government. For him, The growing efficiency In the development of AI justifies reinforce, and not relax, commercial restrictions. In fact, he has had some words of praise for Depseek’s team, but not for his nation: “They are brilliant and curious researchers who only want to create useful technology, but are subject to an authoritarian government that has committed human rights violations and He has behaved aggressively on the world scene. “ In Xataka | “Google gives you links, perplexity gives you answers”: we talk to the CEO of the startup that wants to kill the father Outstanding image | Techcrunch

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