Ai delays an opportunity for everyone ... except for technology giants

The mutation of artificial intelligence, which is estimated at trillions, believes that the obstetric models will develop quickly, but that did not happen. Simply put, the steady increase in the law supports that providing a model of artificial intelligence with more data and computer power will lead to a continuous improvement in its abilities. However, the recently released press reports indicate that this assumption is no longer true, as senior developers of artificial intelligence find that performing their models does not improve with the same large amount as it was used to. According to a report published by “Opnai”, the OPNAI is not much better in programming the previous model “GPT -4”, while the “Alpabett” business “Goeni” is a slight improvement in the “Gemini” application. Anthropic, the most important competition for them, was late in the launch of his expected model “Claud”. The executives of the ‘Oben Ai’, ‘Anthropic’ and ‘Google’ without hesitation told me that the development of artificial intelligence did not reach the stage of stability. But of course this is expected. The truth is that the concerns we have long, the revenue of the wooing IQ, which Bill Hates himself predicted. Elijah Sutskifer, the icon of artificial intelligence and promoter of the ‘biggest’ idea of ​​’the biggest’ idea to build big linguistic models, told Reuters that this trend has reached its maximum series. He said: “The second decade (from the present millennium) was the era of expansion. Now we have returned to the era of question and discovery.” And the phrase “question and discovery” is a positive way to say, “We have no idea of ​​the next step.” The phrase – which is understandable – has caused anxiety of investors and companies, which are expected to spend a trillion dollar on the infrastructure needed to bring about artificial intelligence promises to make a transformation in everything. An investigation conducted by “Bloomberg News” recently showed that the Wall Street banks, hedge funds and private ownership companies spend billions of dollars to build major data centers. The biggest winner of the mutation of artificial intelligence does this mean it has a loss? Not exactly. There is no doubt that the largest technology companies in the world are the most important beneficiaries of the mutation of artificial intelligence. The quarterly turnover for Wolk storage services for businesses such as “Microsoft” “Google” and “Amazon” has recorded a steady growth, while the market value over the past two years, with a total of $ 8 trillion, “Envenia”, “Apple” and “Mita platforms”, with a total of $ 8 trillion. But the return on investment for everyone – that is, has not yet appeared. The stagnation curve can be useful for the noise of the market to soothe some artificial intelligence, as happened to previous technological innovations, because technology usually does not clash with an obstacle and death, but rather what is known as the ‘S-Curve’. The idea of ​​this curve is that the initial progress takes years before it is much accelerated, as happened with obstetrician artificial intelligence over the past two years, then delayed and developed again, and it is important. For example, opponents of the “Moore Law” (relative to Gordon Moore, one of the founders of Intel), said over the years that the law had been irreversible before a shift in the manufacture of slides took place and put it in the forefront. Similarly, the development of the aircraft progressed very slowly until the shifting fans to the Jet engines came to a leap in the late fifties before the technology apparently reached the stage of stability. But the development of the aviation industry, such as the manufacture of chips, did not stop, but saw a shift. Passenger aircraft became more effective in fuel consumption, safer and cheaper to manage it, even if their velocity did not increase much than the 1960s. The incidence of similar stability in the development of artificial intelligence and the laws of its steady growth can also mean the rise of a new approach to the development and measurement of success, which has so far focused on the capabilities than needed, while not focusing enough on other aspects such as safety. Some models of the most advanced obstetric intelligence are the most important aspects such as safety and fairness, according to a recent academic study that measures compatibility with the criteria set by the expected artificial intelligence law in Europe. Artificial intelligence models for a long period of this year improve, artificial intelligence researchers are investigating new paths to improve their models that do not depend on providing models with more data and computer power. One of these methods is to focus on improving the performance of the model after completion of the training, known as the inferential phase. This may include giving the model extra time to analyze various possibilities before reaching an answer. For this reason, ‘oben ai’ described its latest model ‘or 1’ (O1) as the best in terms of ‘logical thinking’. The beauty of the “S” curve lies in its power to give everyone the opportunity to breathe instead of practicing the latest technology to score on competitors. Companies that test obstetrician artificial intelligence and are looking for ways to improve their productivity now have some time to redesign their operations and workflow, to benefit more than the current models for artificial intelligence, which already have great capabilities. (Remember that companies have taken years to adopt computers in their business in the 1980s). The promotion of organization and productivity, Professor Eric Pringolson of Stanford University, in his writings on ‘Productivity Paradox’, indicates that productivity often stumbles or falls when new major technologies appear before it scores a large leap. Temporary stability in artificial intelligence will enable companies to have more important space in the investment phase. This slowdown also gives the regulators the time needed to set up more effective controls. For example, the European Artificial Intelligence Act, which is expected to be valid from 2026, should be more specific in the definition of damage that may arise from this technology. In light of the standards of standards on this, it is helpful not to be the new models, which can cause unexpected problems, it is about to shower the market. Obstetric artificial intelligence has begun a speed map over the past two years, and his career was very profitable for huge technology companies. However, the calming of the train for its velocity at the station would be a break that is the need for everyone else. The summary of the development of obstetrician artificial intelligence was a remarkable slowdown after a period of rapid growth, as reports indicated that models such as “Orion” of “Oben” and “Gimenai” of “Google” did not achieve significant improvements compared to previous models. This slowdown is due to the reference to the steady increase in the law, based on the use of more data and computer power, the maximum limits, which give experts such as Elijah squusifer to describe the current stage as “the era of question and discovery.” This slowdown can be an opportunity to re -evaluate the current approach in the development of artificial intelligence and focus on more sustainable improvements, such as strengthening the inferential phase after training. It also gives businesses and lawmakers time to design more suitable processes and organizations to take advantage of current technologies and to achieve higher productivity. According to the “S” curve, this slowdown is a natural stage that precedes new developments, enabling innovative developments that can revive the growth in this important field.