Zuckerberg already has his superintelligence team. It also has many employees angered by the abysmal salaries difference

Imagine that you have been working in a company for many years and hire a new team, which is dedicated to the same as you, but charges much more. I wouldn’t make any grace. This is what is happening in goal after the arrival of the new superintelligence team and its millionaire salaries. Zuckerberg has spent summer hiring the best talents of AI And now that he has them, he faces a problem: get everyone to be happy. Page more. As reported in the Wall Street Journalone of the consequences after the formation of the superintelligence team has been that the most veteran employees have begun to compete for new positions and salary increases. An employee who achieved a millionaire bonus left anyway because he thought the new ones continued to win more than him. Privileges. The new team, to which TBD Lab have baptized, works at the finish line in Menlo Park, in a restricted access zone very close to the office of Zuckerberg himself and their names do not even appear in the organization chart of the company. The secretism surrounding the project and these security measures are creating the perception that there is a distinction between employees. Counteroffertes. Some unhappy employees went to the competition in search of new opportunities and got a counterofferte by the goal to stay. According to the Wall Street Journal, some got important increases and even moved to the TBD Lab team. Meta has denied it, ensuring that they already planned to move those employees. Resignations. We recently talked about The first side effects of these millionaire hiring. They counted In Wired that at least three of the new signings had resigned just a few weeks after starting in their new positions. Ruben Mayer, who came from Scale AI left the company for personal reasons. Avi Verma and Ethan Knight went to Openai, and Rishabh Agarwal He did not make clear what his destiny would be. There are more. Chaya Nayak, product director of the generative and goal employee for more than eight years, has also gone to OpenAi. Volatility. The case of Shengjia Zhao illustrates very well the volatility of the IA labor market. He reached the finish line as part of the Superintelligence Team and, according to Wireda week he decided to return to OpenAI. Meta got his salary tripling, in addition to offering him the position of chief scientist. Again, goal denies it and In the announcement They affirmed that Zhao had been the chief scientist since the first day, but they had not made it official until then. Image | Wikipedia In Xataka | The new AI star is Alexandr Wang: Zuckerberg has given the keys of the future to a child prodigy of 97

What is artificial superintelligence (like), the type of AI that aspires to overcome the intelligence of all human beings

Artificial intelligence raises a true revolution in our world, but for now its impact is relatively reduced. The appearance of Chatgpt In November 2022, things began to change, and although the rhythm of advances is remarkable, the scope of AI is limited. In fact, we have been talking about three large types of systems of systems for a long time artificial intelligence. Let’s see them with some more detail. So or artificial superintelligence Beyond the general artificial intelligence (AGI) is the call Artificial superintelligence (like)that would be that capable of creating systems that exceed human intelligence in all metrics. Thus, one would be among other things capable of improving itself autonomously, refining and optimizing its algorithms exponentially. That capacity, together with its cognitive superiority, would allow such a global challenges such as climate change, the shortage of resources or potential pandemics, and do it with an unparalleled effectiveness. But the development of a also raises a threat important potential. If these systems end up solving problems that go beyond human understanding, thus could redefine all kinds of industries, revolutionize the industry and change our society of unpredictable ways. In addition to how such could become aware of itself, thus being able to develop their own desires, motivations and moral framework, what would make it unpredictable. It is precisely that possibility that is reflected in many dystopic science fiction films such as’2001: an odyssey of space‘ either ‘Terminator‘in which the human race ends up practically extinguished by the machines. And it is precisely one of the risks Of those who speak Some experts In ia. Others like Yann Lecun, head of the goal, see that potential threat as “Absurdly ridiculous”. Agi or general artificial intelligence Much more ambitious than weak artificial intelligence is General Artificial Intelligence (AGI)which would allow solving any intellectual task to resolve by a human being. This artificial intelligence would be multitasking and could do hundreds, thousands of different things well. A general artificial intelligence would be able to perform all the tasks performed by human beings and even others that are not capable. Over time it is estimated that this type of agi systems could replace the human being in virtually any field And they could make human labor obsolete, something that would have gigantic social and economic implications. These systems could replicate the human ability to reason, learn and adapt to new problems. Thus, theoretically an AGI would be able to generalize their knowledge and apply them to a wide number of scenarios, something that the weak or narrow systems cannot do, although modern models of reasoning with Openai O1/O3 or Deepseek R1 go in that direction . Ani or artificial intelligence “narrow” These types of systems are able to solve very well defined and limited problems. The Narrow artificial intelligence (ANI) It is the one that has caused the true explosion of this discipline in recent times: different techniques have been applied such as Deep machine or learning To solve specific problems, and the results have been exceptional. The artificial vision systems that apply for example in urban traffic management are a good example of ANI. This artificial intelligence, also called “weak” or “narrow” (ANI, by artificial Narrow Intelligence) is what we have long seen applied to many scenarios with greater or lesser success. The achievements achieved with Deep Blue or with Alphago They are a perfect example of weak artificial intelligence: they solve a specific and delimited problem and that allow them to be solved so that these systems end up performing those tasks much better than a human being. But also now they are much more present in the hands of All generative AI models They are available in services such as Chatgpt, Claude or Gemini, but also in others such as Midjourney or Dall-E 3. These models are not able to adapt to their environment, although they can maintain a coherent dialogue, as the aforementioned chatbots do. In Xataka | The best books to enter artificial intelligence: five experts reveal their basic readings

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