The problem is not spending a lot of tokens, it’s that most of them are being wasted

A year ago, Sam Altman did a striking prediction: as the production of data centers becomes automated, the cost of intelligence (AI) should at some point converge with the cost of electricity.” Or what is the same: access to AI would be very, very cheap. That has not happened by any means, but in addition to spending a lot of tokens, we are wasting them. So much AI for what?. He phenomenon of tokenmaxxing -he rampant token consumption more like fashion than something useful—has begun to set off alarm bells, because companies have realized that they are spending small fortunes for their employees to try to get the most out of AI. AI dismissal. A study by the startup EntelligenceAI affirms that for every dollar invested in AI, only 18 cents end up reaching production. The remaining 82% ends up being invested in correcting errors, rewriting code and executing review processes that do not generate direct value. This is what they call “unproductive spending,” and it is a warning sign because the success of this technology does not depend on us using AI non-stop, but on using it to improve productivity. Uber warns. Andrew Macdonald, COO of Uber, I questioned openly whether this massive spending by companies like yours on AI is really justified when it is not linked to improvements in productivity. The company has been one of those that has decided to cut spending on Anthropic models because the available annual budget had already been “vented” to use them. Investing in tokens ends up being unprofitable: the “useful part” is less than a fifth of what is invested, according to EIntelligence AI. The uncertainty is there. Other experts They warn just the opposite: This is just the beginning of what is to come, so taking action against AI consumption may be counterproductive. The problem is not so much that AI is being used, but rather that it is being wasted: this obsession with consuming tokens caused the CFO at Amazon, for example, to tell his employees “Don’t use AI just for the sake of using it”. The company rewarded those who used AI the most, so many ended up using it for trivial, redundant or useless tasks. Use AI appropriately. Matan Gringberg, CEO of the AI ​​startup Factory, told in WSJ how a manager at a major financial institution had told him that his employees were spending hundreds of thousands of dollars a month on tokens. The problem was that some were using the most powerful models to answer simple questions or just to chat. The message here is clear: these models must be used appropriately to avoid wasting them: “If your daughter needs private algebra classes, you can probably find someone cheaper than Albert Einstein to give them to her,” he concluded. We are consuming tokens beyond our means. At the Google I/O event Sundar Pichai, CEO of Alphabet, explained that the company currently processes more than 3.2 trillion tokens per month, seven times more than a year ago. Faced with this demand, both it and other companies are “punishing” the trivial use of AI models. AI agents consume tokens like there’s no tomorrow. What has also happened is that the arrival and popularization of agentic programming tools, such as Claude Code, Codex or Antigravity, causes many more tokens to be consumed because with them it is possible to automate the execution of programming tasks (or other areas) on a continuous basis. The AI ​​model prepares a plan, executes it, and at each step thinks and evaluates its responses before continuing with the plan. This process is intensive in token consumption, and is the main reason why token consumption has skyrocketed. Flat rates, nothing. Monthly plans like ChatGPT Plus or Claude Pro offered leeway for developers to consume huge amounts of tokens with hardly any limitations. However, both OpenAI and Anthropic and other companies have begun to change their strategies, limiting the cases in which these flat rates can be used so that users cannot abuse them. If they want to consume more they can, but always through a pay-per-use philosophy: the more you use, the more you pay for something that at least helps users be aware that they cannot use super-powerful models for useless conversations with their chatbots. Image | Xataka with Magnific In Xataka | If the question is whether using ChatGPT or Claude in English is more efficient and saves tokens, the answer is: yes

India has bombed clouds to improve its terrible air quality. They have wasted 400,000 dollars

The sky of New Delhi is a painting. While half the world is focused on reduce your emissions and improve air quality (something that ultra-polluted giants like China are successfully implementing), the other half continues with inefficient decarbonization policies. India is one of themand the arrival of winter does not help. To combat its poor air quality, the country has “sown its clouds” about New Delhi. And there are voices that suggest that they have spent a fortune and it has not been worth anything. Crisis. The situation of the large cities of India, with the focus on a capital that has more than 28 million inhabitants in its metropolitan area and a density of almost 6,000 inhabitants per km², is really complicated. Vehicle emissions account for 40% of emissions in the city, but there are other sources such as construction dust, inorganic aerosols or industrial activities themselves that contribute a lot. ‘dirt’ in the city air. The quality is not good at any time of the year, but in the post-monsoon season, between October and November, the situation becomes critical. It is when a large amount of rice stubble and other waste is burned, which, together with the rest of the sources of particles since the arrival of cold air traps the pollutants near the ground, causes the amount of particles to skyrocket. And it’s not a joke: esteem that between 2009 and 2019 there were nearly four million deaths in India linked to poor air quality. Figures. To measure this “dirt” in the air, we turn to PM2.5. It is a measure of the amount of fine particles that are suspended in the air, specifically those that have a diameter equal to or less than 2.5 micrometers. They are so small that they can penetrate deep into the lungs, reaching the blood system and posing a serious health risk. That said, PM2.5 levels in Delhi are between 140 and 170 µg/m³, almost 12 times higher than the safe levels set by the WHO, of 15 µg/m³. Petter Ljungman, a researcher at the Karolinska Institute in Sweden, analyzed the role of these particles and determined that “each increase of 10 micrograms per cubic meter in the concentration of PM2.5 leads to an 8.6% increase in mortality.” Bombing the clouds. In the face of a crisis like this, two things can be done: become aware and rethink the country’s strategy or resort to desperate measures. As we read in Reutersit seems that the Government has opted for the latter. On October 28, the Delhi government in collaboration with the Indian Institute of Technology Kanpur carried out the first tests of cloud seeding. This is India’s first attempt at this technique and it is not about “creating clouds”, but rather making the existing ones release water. Using a series of catalysts launched from aircraft, water droplets contained in a cloud can be made to coalesce into larger, heavier droplets. In this way, and due to their own weight, they fall to the ground in the form of rain. It is not something new because, although it may seem like something out of science fiction, we have been “sowing” clouds for half a century. Negative… results. The problem is that each time we have had more and more evidence that it is something that is of little use. If clouds are good candidates, yes, showers are generated, but the big problem is that it is a very expensive practice for the results obtained and that is the reason why more and more countries have abandoned his projects related to this “creation” of rain. In the case of the Indian experiment, the cost was about $400,000 to put into operation the planes that dispersed sodium chloride and silver iodide over several districts north of the capital. Each of the flights cost about $70,000 and the person who said that it was not of much use was not an external entity or someone critical of the Government: it was the director of IIT Kanpur himself. Manindra Agarwal admitted that the results were “not as desired” because the humidity levels in the clouds were extremely low. It was a crucial error because it is estimated that the minimum for condensing these cloud droplets is 50% and the chosen ones had levels between 15 and 20%. Despite this, Agarwal commented that a reduction of between 6% and 18% was observed in certain particle measurement parameters, but they were at very localized and short-lived moments. deaf ears. And of course, faced with the investment of such a fortune without results, it did not take long for the voices to say “I told you so” to rain down. Climate activists said it, but also two other official bodies: the Indian Meteorological Department and the Air Quality Management Commission. The two organizations indicated That the technique requires specific clouds that are absent during Delhi’s cold, dry winter. Recommendations. In the end, what this action demonstrates is that, in desperate situations, desperate measures only work as a source of funds. The solutions must be considered more in the medium and short term and this is something in which China has served as an example. In the case of India, what is being proposed is control over stubble burning during this autumn season, better waste management and stricter industrial regulations. On the other hand, the country has taken giant steps in recent years in terms of transport electrification is concerned, but progress must also be made in improving urban forestry that “traps” pollution and in the use of large-scale renewable energy. Until they do that, the almost 30 million inhabitants of New Delhi will breathe air equivalent what they would inhale if they smoked seven cigarettes a day. Images | Naomi E Tesla, Submitmpsd In Xataka | The Atacama salt flat is the key on which the electric car industry pivots. And it’s starting to dry

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