We believed that Chatgpt was just a very capable chatbot. Openai has just turned it into something very different: a real agent

We have been talking about artificial intelligence agents for a long time, but Openai has just converted that conversation into something much more tangible. The company has presented Chatgpt Agent, a function that turns its popular assistant into something more autonomous: now it is able to execute complex tasks using a virtual computer, with tools that allow you to navigate, program or even make decisions. From Agent Operator. At the beginning of the year it presented Operator, a tool that allowed ChatgPT to interact with web pages. Then Deep Research arrived, focused on writing long reports from multiple sources. The background idea was clear: go beyond the conversation and approach real tasks. What has been presented today is something like a tool that unifies all these previous advances. During the demonstration, those responsible for the project raised a daily situation: organizing a trip to attend a wedding. The agent was able to understand the context, find hotels, propose gifts, take into account the weather, the clothing code and even remember that a suit had to be bought. He did it by analyzing the message, accessing the web and acting step by step, as a person would. The difference is that everything happened within Chatgpt, without the need to alternate tabs or give instructions one to one. A virtual computer for AI. The key is that the agent is not limited to responding to text: it operates within a kind of virtual computer that Openai has given access. You can use a text browser to read pages quickly, a visual browser to interact with buttons and forms, and even a terminal to run commands, generate code and manipulate files. You can also work with spreadsheets, presentations, and access services such as Google Drive, Calendar or Github if the user authorizes it. What is under the hood? The model that drives chatgpt agent (specifically developed for this function, although without official name) was trained with complex tasks that required to combine multiple tools. Openai used reinforcement learning, the same approach that you already use in its reasoning models, to teach you to choose when to use the browser, the terminal or an API. The idea was to develop a solution capable of accurately deciding how to act based on each objective. In development. Images | OpenAI In Xataka | Goal is in a hurry to lead the AI that has done something unusual: it is building a data center in tents

This is the goal plan that has stolen brains to OpenAi and Google

Mark Zuckerberg is distributing checks as if there were no tomorrow. The Meta CEO announced yesterday a great restructuring of its artificial intelligence division, which now aims to “superintelligence.” And to reach it, Zuckerberg is stealing engineers from OpenAi, Anthropic and Google with a carver. Restructuring with two star signings. The new division of the company is called the SuperintenTintelligence Labs (MSL) goal, and will be led by Alexandr Wang, Excel of Scale AI. That has been the first star signing of Zuckerberg, which decided to invest 14.3 billion dollars in that company to buy an important participation (49%) but above all to get Wang’s services. The second great signing is Nat Friedman, Exceiver of githubwhich will co -direction that new division with Wang and will focus according to the statement on AI products and also in R&D. The internal statement, to which it has had access Bloomberg And that also shares CNBCreveals more interesting details. Up to 100 million bond. To form this new team, Meta has offered bonds of up to 100 million dollars to the most important engineers of other companies. The salaries and compensation offered in detail are not known, but the figures are simply astronomical. In Bloomberg they point out that the company has offered some investigators shares worth dozens of millions of dollars. Stealing employees to the greats of AI. The engineers who have managed to sign a goal They come from OpenAIGoogle, Deepmind and Anthropic. These are experts who have been the great ones responsible for developing and training products such as GPT-4O, Gemini 2.5 or Claude, and precisely that experience is the one that goal wants to take advantage of making a definitive qualitative leap when it comes to dominating the market. Media like Wired have A list With 11 of those star engineers. And Lecun, what? In that internal statement, however, There is a name that is not mentioned and that is especially relevant. We talk about Yann Lecunthat until now had been visible head of the efforts of the finish line. Lecun has been making it clear that the generative AI It is not the valid path To achieve artificial superintelligence or an AGI. His speech It has always been almost “anti -judicial”, and has been Very critical With the ability of current models, although it has always supported the launch of IA Open Source models, of which Llama is the greatest exponent. Better spend a fortune than regret it later. According to Bloomberg Zuckerberg, he stated that Meta will spend “hundreds of billions of dollars” in AI projects in the coming years. Last summer He already indicated that “it is very likely that many companies are oversizing (their investments in AI). But, on the other hand, I think that all the companies that are investing are making a rational decision, because the disadvantage of being left behind is that you could stay out with the most important technology of the next 10 to 15 years.” And there are also the data centers. Although there are no specific figures on the amount of money that has been spent on salaries and compensation for all that new division, the single investment in Scale AI (14.3 billion) and those hypothetical bonds of tens of millions of dollars already make clear the dimension of the bet. But that’s not all: Mark Zuckerberg himself already indicated months ago that this 2025 plan to invest 65,000 million dollars In data centers. It is a “shy” figure in front of the 75,000 What does Google plan to invest, 80,000 from Microsoft or the 100,000 Millions of dollars that Amazon estimates that it will invest in these facilities for training and inference of AI. Call on the one hand, new models for another. Zuckerberg also explained in the statement how he has a lot of confidence in the progress of flame 4.1 and calls 4.2, which are the goal base AI. However, he says that “in parallel, we will begin to investigate in our next generation of models.” But. The truth is that today calls is an absolute reference for researchers and startups that create their own projects from it, but its performance is behind the most capable models today. Meta has not achieved that the integration of Goal AI in WhatsApp or Instagram I just turned it into a preferential option for AI users, and Chatgpt remains the clear clear in this area. One thing is money and another mission. This “galactic” team can have a problem as Chon Tang explained, of the Berkeley Skydeck Investment Fund, having billionaire salaries can be counterproductive in the Meta Mission In Xataka | The cover of the AI ​​is a goal. He has been betting on her for more than a decade and has much more than she calls

Years ago the “Paypal Mafia” redefined our vision of the Internet. Today the “OpenAi Mafia” points to the same with the AI

When Ebay bought PayPal In 2002 for 1.5 billion dollars, there was an internal earthquake. In the four years following the acquisition, only 12 of the company’s original employees were left. Paypal was a boiling talent, Entrepreneurship And brilliant people, and who “Ebay escaped” They ended up redefining the technological world. Now we are attending a similar phenomenon, but with another company: OpenAi. PayPal Mafia. This was baptized by the group of bright ex -employed PayPal who left the company to found your own startups. These projects ended up becoming true business and technological successes, and showed that in PayPal there was a lot of talent waiting for their own opportunity to undertake. The most outstanding examples of that mafia Paypal already make clear the dimension of that phenomenon: Elon Musk: The clearest example of how far the members of the PayPal Mafia arrived. He founded or co -founded SpacexOpenAi, Neuralinkand The Boring Company, in addition to buying a majority participation in Tesla and Acquire Twitter (Now x). Peterthiel: is the president of Palantirhe created the Founders Fund Investment Fund – which would later attract former partners like Ken Howery or Luke Nosek – and was the first Facebook external investor. Steve Chen, Chad Hurley and Jawed Karim: these three former PayPal employees YouTube co -founded Reid Hoffman: He founded LinkedIn Russel Simmons and Jeremy Stoppelman: Yelp co -founded Yishan Wong: He worked on Facebook and became CEO of Reddit for a season David O. Sacks: Founded Geni.com and Yammer They redefined the Internet. These engineers and entrepreneurs were a fundamental part of the transition to an internet focused on consumers, something surprising especially after the bubble of the Puntocom in 2001. Rarely in history there has been a phenomenon in former employees of the same company end up creating one or several companies even more successful than the one they left, but there is a previously relevant previous example. The eight traitors. In 1957 eight engineers, fed up with his boss in Seticonductor Laboratory Shockley, decided to lite the blanket and create their own semiconductor company. They called her Fairchild Semiconductor Corp, and those employees They went down in history like the eight traitors. Fairchild had a huge success, but ten years later his engineers also looked for new roads. Three of them –Gordon MooreRobert Noyce and Andy Grove – ended up joining in 1968 to create a legendary company: Intel. The other Paypal Mafia is the OpenAi mafia. Those phenomena seem to be now having a new iteration, but this time the company of which all this new movement is starting is OpenAi. This company has become absolute reference in the field of AI, but on the way to achieve this there has been a true internal war and many conflicts between several of the engineers and their CEO, Sam Altman. Those internal tensions were the ones caused the dismissal and later return to the company of Altman In November 2023, but the company was not the same since then. OPENAI MAFIA members. Actually the divisions that occurred in Openai began very soon, almost shortly after the startup were formed. In fact, the first member of that “Openai Mafia” was also from the Paypal Mafia: It is none other than Elon Musk. It is a clear example, but not the only one, and the members of that OpenAi mafia are the following: Elon Musk: OpenAi co -founder that ended declaring war on the company and Sam Altman. Co -founded XAI Dario and Daniela Amodei: these brothers co -founded Anthropicthe company that develops the family of Ia Claude models. John Schulman: After being one of Openai’s main researchers, he left the company to join Anthropic. Others former investigators and engineers Openai like Tom Brown, Jared Kaplan, or Sam McCandlish also joined the company later. Jan Leike: This researcher who worked in Deepmind and OpenAi He left this company and joined Anthropic in May 2024. His work focuses on the development of a “safe” (“super -align”) and scalable. Ilya Sutskever: Openai co -founded and it was her Chief Scientist, but in 2024 left the company To create your own startup, Safe Superintelligence. Look Murati: Openai’s exco also decided leave the company something after Sutskever, and just Create Thinking Machinesanother startup of AI. Bob McGrew, who also left Openai recently, have joined that project. Josh Tobin and Vicki Cheung: These engineers also came out of Openai to found Gantry, another startup of ia. David Luan: After being one of the top engineering responsible for OpenAi, he ended up co -founding Adept AI Labs. Andrej Karpahty: After working on Tesla’s autonomous driving systems and then in OpenAi, this expert and disseminator ended up founding Eureka Labs. Many promises, few realities. The fundamental difference between these two “mafias” is that while in the PayPal Mafia those companies that founded its creators were absolute balls, the situation of those startups that Openai exingenier have created is an absolute unknown. Safe Superintelligence Ya raised 1,000 million dollars in 2024 and it is rumored that Thinking Machines soon It will lift 2 billion of dollars. None of them have launched any product for the moment, and in these new companies there is a lot of expectation – and, talent is supposed – but little else. The future will say whether the impact of these former OpenAi employees is comparable to that of PayPal’s ex -employees. Image | OpenAI In Xataka | There are more and more billionaires putting their money in human rejuvenation: the last Sam Altman

A new future for Openai is opening. And Microsoft is increasingly out of it

Things are not going well between Microsoft and OpenAi. What in 2019 began as a promising idyll Waters six years later, and both companies have been looking for their own way. The break is not definitive, but that process begins to be delicate and is making them begin to get the dirty rags of the relationship. Growing tension. In The Wall Street Journal They point how “tensions are reaching a boiling point.” One of the factors that contributes to the current situation is Openai’s intention to become a profit company. The current existing agreement that defines Microsoft’s participation in OpenAI is a reason for dispute. Microsoft wants more. The central debate is what participation Microsoft will have if Openai becomes a profit company. According to the WSJ, Microsoft is asking for a greater participation than Openai is willing to give it. If OpenAi does not complete your conversion before the end of the year, It takes a risk to lose 20,000 million dollars. Dangerous accusations. According to sources close to these companies, Openai managers They have accused Microsoft of anticompetitive behavior during his business alliance. Thus, while in Openai they claim that Microsoft did not offer all the computing capacity he could, In Microsoft they protested Because Openai did not give access to their most advanced models quick enough. New girlfriend. Openai soon began to look alternatives and new brides. He found one that has in fact promised much more than Microsoft gave Openai. It’s about softbankwhich will theoretically invest 40,000 million dollars in Sam Altman’s company and will contribute to Gigantic Stargate Project. On the one hand they say one thing … In a joint statement cited in WSJ, those responsible for Microsoft and Openai pointed out that “we have a long -term productive alliance that has offered incredible AI tools for all. Negotiations continue their course and we are optimistic when continuing to create things together in the future.” … but on the other they do another. OpenAI intends to close the acquisition of Windsurf for 3,000 million dollars. However, the agreement with OpenAI indicates that Microsoft has access to all the intellectual property of Openai. And the problem is that the latter does not want Microsoft to have access to Windsurf’s intellectual property. They already have Github Copilot, and it seems that in Openai they are not willing to make Microsoft take advantage of that acquisition to improve their own platform. And meanwhile, they compete more and more. Microsoft has access to OpenAi models, but also Ear money Every time someone uses chatgpt. Sam Altman’s company continues to benefit from the gigantic infrastructure of Azure and his computing capacity. And yet, both have been taking steps to “decouple”. Microsoft continues to work In its own AI models —Phi 4 continues to progress – for example, and OpenAi is still looking for new partners And he is drilling Even with Google to also be able to take advantage of its cloud infrastructure. In Xataka | The Microsoft Agreement with OpenAI was just a first step. What they want (probably) is to get rid of them

OpenAI has cut the price of O3 80%. And as a gift to the sector has sent a price war that will destroy margins

Openai has moved token: the same day as presented O3 pro The price of O3 cut 80 %. It may only be segmentation, but very possibly it is also an advance of the price war that starts when the rivals already touch their performance and internal efficiency allows us to serve Tokens for cents. The new step is like this (prices per million Tokens): ENTRANCE EXIT OpenAi O3 $ 2 (before $ 10) $ 8 (before $ 40) OPENAI O3 PRO $ 20 $ 80 Gemini 2.5 Pro $ 1.25 $ 10 Claude 3.7 Sonnet $ 3 $ 15 Deepseek R.1-0528 $ 0.55 $ 2.19 That price narrowing comes because quality already converges in practice: almost all models “reason” comparable in common tasks, and hardware and inference efficiency improvements (on the side of OpenAi and the rest) reduce the marginal cost of serving each Token. The result is manual: The price becomes the main lever and segmentation appears as a containment dike —How the creation of O3 Pro, designed for customers willing to pay a lot due to low latencies, huge contexts or formal audits. For developers this is fertile land. 2 dollars a million tokens, AI ceases to be a luxury expense and looks like a CDN: Payment for use, without permanence contract. Yes tomorrow Gemini either Deepseek They offer better value for money, change is reasonably simple in infrastructure and Prompts. The blocking effect is transferred to the layer that surrounds the model (tools, data, user experience), not the model itself. At the contrary end of the cost spectrum, Apple has integrated its foundational models directly into operating systems. Any app can be invoked at home, free and without counters from Tokens No invoices at the end of the month: AI becomes as invisible as GPS or camera. It is another function. The play Remember the emergence of WordPress in the early 2000s. At that time, publishing online required or a lot of knowledge or a lot of money to pay someone to have it. WordPress loaded that barrier and democratized the publication. Twenty years later we gave the xataka legend to its creator precisely because of that. And now what? Possibly, an adjustment downward the margins in the base models and a migration of the business towards higher level services: observability, management of the management Fine Tuningprivate data accommodation, vertical agents … exactly what happened with the cloud when the price of the gigabyte sank and the value moved to the management layers. The “magic” of AI is blurred, but its usefulness – now much more affordable – opens the door to a much wider market. Just what Openai needs. In Xataka | O4-mini is much more than another model of AI. It is the Tesla Model 3 of OpenAI Outstanding image | Ilgmyzin in Unspash

Goal is so desperate that it is beginning to offer up to $ 100 million to investigators of OpenAi and Google

Goal is offering salaries between 10 and 100 million dollars to Openai star researchers, Google and other companies to hire 50 experts who lead their new superintelligence laboratory, for which Zuckerberg has entered ‘FOUNDER MODE ‘, as published by The New York Times. Why is it important. The Zuckerberg company has lost ground in the AI ​​race after Some stumbling blocks With her models she calls and the key talent escape, including the director of Research of IA Joelle Pineau, whom we could interview a year ago. Now try to recover based on a talonario. In figures. Meta offers reach nine digits per investigator, that is, 100 million dollars. Although they are not structured as a check for that amount. The packages go “seven to nine figures” according to Own sources of The New York Times. Following the typical goal model, it is likely that most be in actions (RSUS) that are distributed for four years. The actions are distributed quarterly for four years. In any case, it is a conjecture based on what was seen above. And these are unpublished amounts, well above the 2 million annually that were already considered exceptional offers. In addition, the company plans to invest 15,000 million dollars to buy approximately half of Scale AI and bring to its CEO, Alexandr Wang, 28. The context. Meta created his first AI laboratory in 2013, but since the launch of Chatgpt in 2022 there has been somewhat lagging behind. His latest models have had performance problems, and the company was discovered after manipulating Benchmarks to make their products seem better than they really were. A practice that We saw in the past on smartphones and that also reached AI. Between the lines. Wang’s choice is not accidental: he is Zuckerberg’s personal friend and a billionaire who made his fortune with Scale AI, a company specialized in labeling data To train AI systems. Its closeness to political power could also be an aid at a complicated regulatory moment for the goal. Google, Openai and Anthropic continue to launch increasingly powerful models while finishing struggle to stay relevant. Sam Altman continues to insist that we are close to the AGI. Even more pressure. Yes, but. Money does not guarantee success. Goal is reputable to be A complicated environmentwith constant internal struggles. In addition, many of the best researchers already have millionaire offers of their current employers and may prefer to stay where they are. Deepen. This movement is part of an upward trend: large technological ones are buying promising startup parts to get talent without having to get the complete company. Microsoft He did it with inflection ai and Google with Character.AI. It is a way to save a few dollars, but above all, to dodge compromising questions by regulators. The big question is if Zuckerberg, who already burned a lot of money with a metaverso that remains far from the expectations raised (and the return of investment), this time can be successful with its most expensive bet to date. In Xataka | Goal has fired 35,000 workers in five years. And many of them fear having entered their “black lists” Outstanding image | Goal

The AI ​​race seemed to be matching. Openai has just hit the table with a model that points very high

The career for artificial intelligence had been narrowing for months. Gemini 2.5 Pro, Claude 4 Opus and Deepseek R1 they had managed to cut distances with OpenAi models, presenting increasingly sophisticated reasoning. The overwhelming domain of 2022, when Chatgpt He left the competition bewildered and several steps behind, no longer defines the current board. Today, the fight is direct. But the firm led by Sam Altman It has not been still. It has just announced O3-Proa new reasoning model with which, at least on paper, it intends to reaffirm its leadership position in the industry. It is available from today only for some plans, excluding Chatgpt plus of 20 dollars a month. Access to the most advanced AI has a price. More tools and more context. The O3-Pro model part of the same base as O3but with an additional stage of reinforcement training and more inference resources. It incorporates full access to the tools that have made chatgpt a more useful tool: web search, file analysis, images about Python and customization through memory. These are functions that allow you to adapt the responses to the user’s history, access external sources in real time and solve complex tasks in several steps. Has: Search, code, document analysis and vision Customization based on active memory Context window of up to 200,000 tokens and maximum output of 100,000 More precise, but not faster. Of course, O3-Pro is not a model designed for speed. The answers usually take more than in O1-Pro, but in return promises to offer a plus in precision focused on complex tasks. Openai recommends using it when reliability is more important than speed. So we could say that it is a model designed for those who need things to go well, even if that implies waiting for a few more seconds. In any case, we are talking about AI models, so hallucinations can still exist and can give us erroneous information. Theoretically superior performance. According to internal OpenAI tests, human evaluators prefer O3-Pro against O3 in all tested categories: science, education, programming, personal writing and data analysis. It also achieves better results in academic Benchmarks: in competitive mathematics it rises from 86 % of 93 % O1-PRO, and in programming exceeds 2,700 EL points, compared to the 2,517 of O3 and the 1,707 of O1-Pro. Available now, but not for everyone. O3-PRO is now available for users of the PRO PLAN (200 dollars a month) and the Team Plan, where it replaces O1-Pro in the model selector. OpenAI has confirmed that Enterprise users and educational accounts will have access from next week. At the moment, access to the most powerful models is still restricted to those who pay for the most advanced modalities. The Plus Plan of 20 dollars per month, the most popular among private users, is not mentioned. And everything indicates that, for now, it will be out of this update. Images | OpenAI In Xataka | Someone put Chatgpt, Gemini, Claude and others to play a kind of Risk. The results could not be more disparate

Chatgpt is fallen worldwide. OpenAi chatbot does not work or does it erratically

If in the last hours you have tried to use Chatgpt You have probably found that this chatbot did not work or did it erratically, with answers that took a long time to arrive. It is not surprising: Chatgpt is practically fallen worldwide. Openai’s own ones confirmed this on their service status page, where they indicate that “we are experiencing problems” both in their APIs and in Chatgpt and in their video generation AI, Sora. According to the company’s information, there is a “high error rate”, but it has also been indicated that they have “identified the cause in which the problem lies”, and they are “working to implement a solution.” The cuts in the service have been producing about six hours during which it was possible He did not answer, or showed a mistake – “Too many concurrent requests,” for example – or answered but after a long wait. It is true that errors are not absolute and some users can access the service and use it apparently normal, but the truth is that the problem is affecting service users regardless of the geographical region in which they are found. The problem is also doubly serious because not only the conventional chatgpt service for users is fallen, but also its apiswhich are used by all types of third parties services and then apply the functions of ChatgPT all types of scenarios, such as assistance chats or company chats. In Xataka | You thought to be navigating in unknown and erasing cookies on your Android mobile. Goal I saw everything you did

We do not know if your history is yours, from OpenAI or the government

Everything you write can be used against you. This is what the United States justice raises when trying to force Openai to indefinite all the records of our conversations with Chatgpt. Not only that: they also demand that you keep the chats that we theoretically believed to have eliminated. The situation makes the question inevitable: So all those data, who belongs to? The New York Times vs OpenAi is complicated. The entire current situation derives from the legal process that faces the prestigious newspaper with the artificial intelligence company. Said confrontation It has been in progress for 17 months. Nyt’s initial argument was that Openai had trained his models with NYT contents that he also showed in his responses to users. Now the thing goes further. Don’t even think about the chats. After a recent request from NYT, Judge Ona Wang that takes the case ordered A OpenAI to initiate the indefinite preservation of the records of all potentially relevant contents, including temporary chats and even the text output generated by the API and use paid users. Until that moment the Data retention policy Openai imposed a 30 -day limit to preserve conversations. Then theoretically they were erased without more. Payment walls. Nyt’s fear and other means is that users are using chatgpt to skip payment walls “could be more prone to erase all their searches to cover their footprints,” Openai explained in the judicial process. According to the plaintiffs, evidence that demonstrates it is missing because Openai has only ocmpartido samples of chat records that users had accepted that the company retained. OpenAi appeals. The Official response From OpenAi to NYT data demands it is clear: “We firmly believe that it is an overreach. It endangers your privacy without really contributing to solving the demand. That is why we oppose.” Those responsible for the company explain that they have asked the judge to reconsider the order highlighting that “that indefinite retention of user data violates industry standards and our own policies.” What data are affected by the order. The judge’s demand is very broad, but there are important details that allow to clarify who is not there any: If you use the free chatgpt version, if you use a subscription to Chatgpt Plus, Pro or Team or if you use the OpenAi API without ZDR agreement (Zero Data Retention), you are affected and your chats could be preserved indefinitely. Chatgpt Enterprise or Chatgpt Edu accounts are not affected by this order. API users who have opted for ZDR are not affected by the agreement. What is ZDR. The “ZDR amendment” refers to the data non -retention policy (Zero Data Retention) that guarantees that Prompts are not registered, nor is the models train with our data. This data management is especially Important for business useshence in Chatgpt Enterprise it is activated by default. For the rest of the plans, ZDR is not activated by default and companies and interested people must contact OpenAi to negotiate the terms. There are no published prices for this option, but it is an extra service and as such imposes an additional cost in the use of the OpenAi models API. Without evidence. According to Openai, there is no evidence that they have intentioned data intentionally and everything is speculation. In addition, there is also no evidence that users who violate copyright when using chatgpt to avoid payment walls are more likely to erase their chats. “Openai did not destroy data, and of course did not delete data in response to the events of the dispute. The order (judicial) seems to have assumed incorrectly otherwise.” Sensitive data. The company defends its duty to protect “the data and privacy of its users” and explains that millions of users use chatgpt daily for reasons that go “from the mundane to the deeply personal”. That makes these users sharing sensitive data that not only affect financial or medical information, but also their feelings and private reflections. Ramifications. The impact of that court order is potentially huge. As a user called Kepano stated in X, “if I have understood it correctly, this means that the data retention policies of the applications that use the OpenAi API simply cannot be fulfilled.” That is, if a third company that uses OpenAI models to provide their service promises that your data will be maintained private will not be able to guarantee that promise. The implications for users of all kinds are clear. In Ars Technica They cited the comment of a LinkedIn user suggested that this court order creates “a serious breach of contract for all the companies that use OpenAi.” and also highlighted messages in X of users who claimed that “each and every one of the services of AI” driven by “OpenAi should be worried” about this situation. Who belongs to the data? This court order opens a disturbing debate: who has control of the data we exchange with Chatgpt and, by extension, with any other chatbot. These companies are theoretically responsible for managing these data and eliminating them, but are they yours? Chatgpt and Gemini do use chats to train their default models, although this behavior can be deactivated. Neither Claude nor co -ilot do it, for example. The data in these last two cases are something “more yours.” But they continue to keep them for a variable period that is usually 30 days With this court order, the US states to be able to access that data if you need it, although there must be a judicial investigation behind as the one that is being carried out with The New York Times. And yet, these data are even more valuable as a source of information not only for private companies, but for intelligence agencies and services. And we know How do you spend the nsa. How they act normally. Data retention policies They are similar in all the cases And all Delete Those tickets and exits (chats) after 30 days. These companies also have options for that … Read more

Sam Altman is building an empire with Openai. One with some lights and with many shadows

Sam Altman is a master of empathy. He listens to you as if you were the most interesting person in the world, learn what he needs about you and his speech fits what you want. And so convince you. It is one of the first conclusions that Karen Hao arrives in her new book ‘Empire of ai’. In it we are narrated OpenAI origins and its evolution Thanks to hundreds of interviews with employees and former employees of the company, in addition to those made to professionals from other companies in the artificial intelligence industry. Altman is loved or hated, there is no middle ground We actually know the story – in Xataka We have been Speaking of Openai – but what Hao proposes to us is a visit to what happens behind the scenes, contributing many details that help us understand the past, present and perhaps the future of the company. Many of those details focus on the figure of Sam Altman, which does not go especially well stopped. Brilliant as a seller of apparently impossible projects, Altman is sparse in words in his communications with other colleagues. Write emails with a single word, “Meet”to arrange appointments, and sometimes use a simple “?” Because who writes less seems to win the game. Of that Jeff Bezos knows a lot. That, of course, when I wrote something, because according to Hao Altman leaves almost nothing written. Everything is verbal, something that allowed him to argue after people did not remember well what he had talked to him. The opinions of those who talk about him in the book are significant. One of them commented that “it is so attentive. But partly uses it to find out how to influence you in different ways.” Others commented how Altman avoids expressing negative emotions and also confrontation. He dodged the word “no” in conversations with other people. “Others began to see him as someone diabolically capable of beating situations in his favor.” Ilya Sutskever, one of the co -founders who came after her differences with him, left A disturbing statement: “I don’t think Sam is the right person to be the one who has your finger on the AGI button.” OpenAi lives his own ‘Game of Thrones’ Paul Graham, his mentor in Yc Combinator, left two citations that leave a clear idea of ​​what Sam Altman is like. In the first commented that “you could throw in parachute to an island full of cannibals, return in five years and he would be the king.” In the second reinforced That vision of his protégé: “Sam is extremely good when it comes to becoming someone with power.” It is something that Hao often mentions in the book and that makes it clear that Altman does very well one thing: win the battles for power. There are two clear examples, also known. The first, when managed to snatch Musk The direction of Openai at the beginning of that unique adventure. The second, when After his scandalous dismissal He returned more force than ever as the almighty CEO of OpenAi. Those two moments in the history of this company are actually reflecting what happens in any empire: the view seen is usually impeccable, great, powerful. The hidden face is full of internal conflicts and wars, battles for power, and rivalries and differences of criteria that end badly. In all these battles an Altman was imposed again and again that according to Hao used a singular tactic: he changed his speech according to the interlocutor. What he had told A was often what he had told B. The problem arose when A and B were talking about what Altman had told both of them. That also happened with Openai’s original vision. Created as a laboratory for the development of a beneficial for the world, The approach would change soon. To share knowledge and details about its models, the company became a secretism bunker. Seeking to be the AI ​​monopoly Like Oppenheimer, Altman Believe That “technology occurs because it is possible”, and like others before him – including one of his mentors and friends, Peter Thiel – his goal (such as his competitors, of course) is clear according to Hao: What he wants is to create an AI monopoly. We have seen that with the evolution of their models, increasingly powerful, and that They were there to earn money. That was the vision that has ended up winning. The other, to try to develop a safe and “aligned with the objectives of the human race” has been in the background. In fact Hao reflects it well in the book. If Openai is leading the AI ​​career today it is not only for having been the first to launch a chatbot like Chatgpt, but for its apparently disproportionate climbing. He has invested more than anyone from the beginning. To start, to capture talent. When the project began to create OpenAi Ilya Sutskever, I worked in Google Brain and was already considered a superlla of this segment. The rest of the founding members were offered a salary of $ 175,000 and shares of YC Combinator or Spacex. But Sutskever was offered almost two million dollars annuallybut Google counteroffierted on a bid whose final figure is not known. What is known is that Sutskever ended up abandoning Google to sign for Openai –And then leave it-. In 2016 of the 11 million that Openai spent, seven were for salaries. Initially the company “did not really know what I was doing,” explains Hao: few of the things they worked worked, and those who did it “seemed little original or something someone had already done.” There were more ambitious bets. It is demonstrated by the famous demo of that kind of “GPT 2.5” that made Bill Gates in April 2019. Until then those who investigated the development of foundational models of AI did so training those models with a few dozen gpus. Darío Amodei – who ended up leaving Openai to co -confound … Read more

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