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OpenAI just launched ChatGPT for teachers. The question now is how much education we are willing to delegate to AI

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What happens when a teacher uses artificial intelligence to prepare his classes, a student uses it to do homework, and finally, that same teacher uses AI again to correct them? It may not be the norm yetbut that scenario no longer sounds so far away. The speed at which these tools have been integrated into classrooms has opened a fundamental debate: what do we really learn if we let technology do the work for us? And what does the educational system lose if this process becomes a habit? The landing of AI in education is neither coincidental nor recent. Technological tools have been present in classrooms for years, with platforms such as Google Classroom either Moodle. The novelty is not in using technology, but in relying on systems capable of generating content, proposing solutions or even being used in pedagogical decisions. That is where the big developers—Google, Microsoft, Anthropic and, more recently, OpenAI—have decided to go a step further and position themselves at the center of the educational debate. Here OpenAI lands with a dedicated proposal for teachers in the United States. We are talking about a version of ChatGPT Designed for primary and secondary educators, free for verified teachers, with administrative controls for centers and school districts. Unlike the service that almost all of us know, OpenAI ensures that the data generated in these environments will not be used, by default, to train its models. What ChatGPT offers for teachers Personalized assistance. It allows you to enter school level, curriculum and desired format so that the answers adapt to the real style of the classroom. It is the teacher who controls that configuration. Integration with usual resources. You can generate presentations with Canva, import lesson plans or documents from Google Drive and Microsoft 365, and start a conversation with that context already activated. Ideas from other teachers. Show real examples of teachers already using ChatGPT in their classes, directly below the editor, as a source of inspiration. Teaching collaboration. It makes it easy to create custom GPTs and shared templates to plan units, lessons, or assessments among colleagues in the same school or district. Management from the center. It offers a manageable workspace, with secure accounts and differentiated roles for teachers and academic leaders. What is OpenAI pursuing with this? Among the 800 million weekly ChatGPT users there are many teachers. The company explains that they are using the tool to design teaching units, adapt the curriculum to regional standards or generate examples that help evaluate their students. Let’s look at some of the usage examples you have shared: Generate examples for a task You are an expert English teacher. Using the prompts in the accompanying readings, generate seven different sample answers. Responses should be one paragraph in length and range in quality from very well written to very poor. They must be written following the RACES format (restate, respond, cite, explain and summarize). Include a justification for each answer, indicating your level of writing. Plan a multi-week drive My science department is redesigning the 8th grade physical science curriculum and I need help creating a teaching unit based on the attached objectives. Please make a plan for a 20-day unit with 55-minute classes. I need a guiding question for each day to help focus learning. Provide hands-on activities for students to explore these topics. As we can see, AI is here to stay, and trying to ignore it is not an option. The real question is how to use it without replacing the act of learning, which is much more than completing a task. Because if the teacher uses AI to solve what he has to prepare, and the student does the same to deliver what is required of him, what remains of that process beyond compliance? The educational system is not based on the ability to deliver results, but on the ability to think, make mistakes and argue with one’s own knowledge. An MIT study provides data that begins to illuminate the debate: users who wrote essays with ChatGPT produced the text 60% faster, but their cognitive effort was relevant was reduced by 32%. That is, they achieve a more polished result, but with less mental work. Another study, in this case from the SBS Swiss Business Schoolnotes that the increased use of AI is linked to the deterioration of critical thinking skills. We still do not know what effects this dynamic will have in the medium or long term. What we do know is that the classroom has become a territory where big technology companies want to be. And that the real educational challenge of the next decade will not be deciding whether we use AI, but deciding how much of the educational process we are willing to delegate to it. Images | Xataka with Gemini 3 | OpenAI In Xataka | The problem is not that the AI ​​is not able to read the time. The problem is confirming that he does not reason and only repeats what he has seen.

Oracle signed a 300 billion agreement with OpenAI. Two months later it has lost 315,000 million in the stock market

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Since Oracle announced its $300 billion deal with OpenAI On September 10, its shares have lost $315 billion in market capitalization, as they have stated since Financial Times. The technology company He has bet everything on a single card: Become the premier infrastructure provider for the world’s most valuable AI lab. Investors are not convinced. The most expensive bet in its history. Oracle has tied its future to OpenAI in an unprecedented way in the technology industry. According to estimates At Jefferies, 58% of its future order book comes from a single customer: OpenAI. To put it in perspective, Microsoft has just 39% concentration with its largest customer, and Amazon 16%. Oracle has gotten into a mess and its business diversification has become a critical dependency on OpenAI. The plan is ambitious but risky. Oracle’s strategy is to reach $166 billion in cloud computing revenue by 2030, according to counted the company last month. To achieve this, its investment budget in the current fiscal year ending in May amounts to $35 billion. The analysts wait that this annual expenditure will stabilize around 80,000 million in 2029. But here’s the problem: Starting in 2027, most of that revenue would come from OpenAI, according to the calculations from RBC Capital Markets. That is, Oracle is not just building massive infrastructure, it is building massive infrastructure for a single tenant that has yet to prove its long-term commercial viability. The numbers don’t add up yet. Oracle’s net debt already stands at 2.5 times its ebitda (earnings before interest, taxes, depreciation and amortization), more than double what it was in 2021, and is expected to almost double again by 2030. Its free cash flow is also expected to remain negative for five consecutive years, according to the forecasts collected by Bloomberg. The company is financing with debt a gigantic server farm with the hope that OpenAI will generate enough revenue to justify the investment. Meanwhile, as has shared Financial Times, investors are so restless that the cost of insuring against a potential Oracle default is at a three-year high. The contagion effect of OpenAI. Oracle is not the only company that has suffered after announcing agreements with OpenAI. Broadcom and Amazon too have seen their shares fallwhile NVIDIA has barely moved since its investment agreement in September. A few months ago, any type of association with OpenAI caused prices to rise, considering himself the King Midas of AI. The most notable case was AMD’s in Octoberwhen its shares rose 24% after announcing a chip deal that included company warrants. That halo effect seems to have completely faded. Between the lines. The initial theory was that OpenAI was in a frantic race to catch up. general artificial intelligence (AGI) and that Oracle was the only company capable of scaling the necessary computing capacity at the required speed. Oracle promised the lowest upfront costs and the fastest path to revenue generation because it acted as a data center tenant, not an owner. Now investors are sending the signal that partnering with OpenAI is no longer a guarantee of success. The alternative reality is less rosy: Oracle doesn’t have as much operating profit as its competitors to burn on R&D, so it’s betting everything to keep its only big customer in exchange for a promissory note. Amazon, Microsoft and Meta can afford to spend between 70,000 and 130,000 million a year in infrastructure. Oracle is juggling financials to keep pace. And now what. Oracle has until mid-2026 to prove that your Abilene data center in Texas, with capacity for more than 400,000 GPUs and 1.4 gigawatts of power, can generate the promised returns. Meanwhile, the market has spoken and is awaiting evidence that this partnership will bear the promised fruits. Cover image | Oracle and OpenAI In Xataka | As if there weren’t enough AI companies, Jeff Bezos has just returned from the shadows to build another one, according to the NYT

OpenAI has released GPT-5.1 with two personalities because 800 million users do not want the same AI

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OpenAI has launched GPT-5.1an update of its flagship model that comes in two variants: Instant (conversational and “warmer”), Thinking (deep reasoning). The real novelty is not in the technical metrics, but in something more prosaic: you can now choose between eight conversation tones, from “professional” to “cynical.” It is recognizing that AI as a mass product needs segmentation. It is no longer enough to have just one assistant for everyone. The new model selector for Plus users. Image: Xataka. Why is it important. OpenAI has 800 million users with radically different expectations. Some want a neutral and efficient assistant. Others seek warmth and empathy. Some have even developed problematic emotional ties to the chatbot. The company tries to solve this with personality adjustments, but the underlying problem remains: ChatGPT keeps pretending to be a person, a consistent entity that knows you. This generates the same risks of emotional dependence that have motivated mental health demands and alerts. The facts: GPT-5.1 Instant improves in math and programming, and for the first time uses “adaptive reasoning”: decide when to think harder before answering. GPT-5.1 Thinking, for its part, dynamically adjusts its processing time according to the complexity of the question, being twice as fast in simple tasks and twice as slow in complex ones. The eight available tones (Default, Professional, Friendly, Sincere, Quirky, Efficient, Geek, Cynical) work by injecting different instructions into each prompt. The capabilities of the model do not change, only the presentation changes. Yes, but. The speed of the launch has come at a cost. OpenAI itself admits in its technical documentation that GPT-5.1 presents “known security regressions” compared to the October version. They prioritized time-to-market over exhaustive testing, something striking in a company under intense regulatory scrutiny due to cases of vulnerable users. Furthermore, personalization has limits that OpenAI has had to explicitly acknowledge: “taken to the extreme, personalization would be useless if it only reinforced your worldview.” It is admitting that you are walking a tightrope between engagement commercial and social responsibility. Between the lines. The launch of GPT-5.1 is a symptom of a deeper strategic shift. OpenAI is fragmenting its product because the “one AI fits all” model has failed. GPT-5 was so disappointing that the company had to enable it again GPT-4o as an option the next day. In Xataka | OpenAI has never been more ambitious. And he’s never been so close to not being able to pay his debts. Featured image | Xataka with Mockuuups Studio

OpenAI is going to have to pay a fortune in credit obligations in 2026. Today the accounts do not work out

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In recent months, OpenAI has signed agreements worth more than $1.4 trillion in infrastructure—data centers—that will be built in the next 8-10 years. The problem is that to do this they will have to face gigantic credit obligations that will require billions of dollars in 2026, and it is not at all clear how they will be able to face those payments. bad business. Your current income structure certainly does not support such debt. Sam Altman indicated in X They expect to end the year with more than $20 billion in annualized revenue. Even so, they will continue to be in (very) red numbers, although they also promise that by 2030 they will enter “hundreds of billions of dollars“The accounts do not come out, and that makes it virtually impossible to meet all credit commitments without resorting to extraordinary forms of financing, refinancing or… Rescue. Last week there was already talk about how both NVIDIA and OpenAI had dropped the possibility that papa state had to rescue them in case of a debacle. Sam Altman himself clarified shortly after that “we don’t have or want government guarantees (…) and taxpayers should not bail out companies that make bad business decisions.” He does not want a rescue, but he does talk about agreements with the government. Although Altman clarified that he was not seeking government bailouts, he did make it clear that there is a debate about a strategy to face these loans: “The only area in which we have discussed loan guarantees is in the framework of supporting the construction of semiconductor factories in the United States (…) Of course, this is different from governments guaranteeing the construction of data centers for private purposes.” It seems impossible for them to get out of this. As analyst Ed Zitron explains in your newsletterOpenAI needs $400 billion over the next 12 months to meet those credit obligations. Not only that: for him OpenAI’s plans to build chips with Broadcom and fill a 1 GW data center or create similar data centers with AMD chips Instinct or with the Vera Rubin from NVIDIA “There is not enough time to build these data centers. And if there was enough time, there would not be enough money. And if there was enough money, there would not be enough (electrical) transformers, electrical grade steel or specialized talent to supply the electricity for these data centers.” That’s all a gigantic house of cards. Possible strategies. OpenAI increasingly depends on debt issues and strategic investors, but also on those circular financing agreements it has reached with several companies. SoftBank, which already invested in OpenAI, could expand its bet, especially now that it has just sold completely all its participation in NVIDIA. Although the sale has obtained almost $6 billion, the figure is still insufficient even if it is invested in OpenAI. And of course OpenAI could achieve explosive revenue growth, but it is far from clear that it will achieve such growth in the short term. The other solution: slow down. OpenAI’s excessive ambition makes everything surrounding its agreements and proposals absolutely enormous, and that also affects its credit obligations. Adopting a slightly less risky strategy and setting more feasible deadlines could reduce the financial stress to which the company is subject… but it would also raise doubts about the growth promises that Altman and his people have made for years. Going public? Another option for OpenAI is to go public now that it has managed to complete the restructuring and has become in a for-profit organization under the umbrella, of course, of the OpenAI Foundation. In recent days there was talk about how this option would allow the company get a billion dollar valuationbut the analysts they doubt that something like this is going to happen in the short term… if it happens at all. And the bubble keeps growing. Analysts like Scott Galloway they explained recently that the valuations of companies like NVIDIA, Oracle or AMD are conditional on those “handshake” agreements with other companies like OpenAI. For him, these agreements have no substance: there is much ado about nothing. If the market ends up losing confidence, the consequences could be dire and the hypothetical bubble could burst. Source: Apollo Academy All eggs in one basket. Stock market concentration does not help. Torsten Sloj, chief economist at Apollo Global Management, has been talking for some time about the dangerous concentration of the S&P 500 index in 2025. A few days ago published a graph in which it showed the returns of various assets in the last five years, and there is a clear conclusion: while “the Magnificent Seven” have grown exceptionally, the rest have barely done so. Image | Steve Juvetson In Xataka | There is a race in which Anthropic is winning over OpenAI: that of being profitable

NVIDIA and OpenAI know that the AI ​​bubble can burst in their faces. His solution: let dad pay for the state

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Too big to fail or, in English, “too big to fail.” It is a theory of economics and finance which argues that certain corporations, especially banks, are so large and so interconnected that their failure would have catastrophic consequences for the global economy and therefore must be rescued by governments. The speech gained traction in the 2008 financial crisis and is beginning to sound again from the mouths of NVIDIA and OpenAI, no less. Government support. At an event of WSJSarah Friar, CFO of OpenAI, stated that the company will not go public in the short term (she says until at least 2027) and that its priority is growth and investment in R&D, above profitability. The most striking part of his speech was when he said that they hope that the government will support the financing of future agreements related to data centers. That OpenAI is burning astronomical amounts of money to lead the AI ​​race is something we have been discussing for a long timebut it is the first time that they directly appeal to the state to guarantee it. Shortly after, Friar collected cable in a post on LinkedIn: “OpenAI does not seek government support for our infrastructure commitments. I used the word ‘support’ and that confused the message,” but the seed was already planted. Depreciation. OpenAI is closing deals to secure computing capacity. We have seen it with his alliance with NVIDIAwith amdwith Broadcom and more recently with amazon. The complexity of the situation is that the depreciation rates of AI chips remain uncertain. As it says Washington Post’s Gerrit de Vynck in XOpenAI is going to need the best chips to be at the forefront of the AI ​​market, but financing this demand is not the same if the life cycle of the chips is seven years, as if it is only two years. The money is flowing, the question is for how long. In this uncertain scenario, government support would act as a safety net so that banks and private equity firms would feel more comfortable and continue releasing billions for OpenAI. China will win. NVIDIA is also appealing for government involvement in subtle ways. In a Financial Times event in London, Its CEO Jenshen Huang has warned that “China is going to win the AI ​​race.” Their arguments are that China has more flexible regulation and government subsidies for the energy your data centers needthat It is not little. This energy advantage allows China to compete even if they cannot buy NVIDIA’s most powerful chips. Huang doesn’t say it directly, but it is a clear wake-up call: either you subsidize the energy our data centers need or China will win. The fear. The question has been hanging over the air for a long time: Are we witnessing a new bubble? The investor Michael Burry thinks soand he is not just any investor, he was the one who made gold when the real estate bubble burst in 2008 (the movie ‘The Big Short’ is based on his story). The thing is, Burry just bet short against NVIDIA, which recently It was valued at 5 billion dollars. Fear of the bubble continues to grow, according to a Coatue report and the number of fund managers who believe we are in a bubble increased to 54% in October, up from 37% in July this year. 48% of the S&P 500 index corresponds to AI-related stocks. Fountain: Bianco Research Numbers. The fear is not at all unfounded and all you have to do is take a look at the numbers. Account Tomás Pueyo in Uncharted Territories that the economy should be in recession, but the numbers show the opposite and AI is behind this growth. The S&P 500 index is through the roof and 48% of this growth corresponds to AI-related stocks. The share price is far above what it was in the dotcom bustall with ridiculous benefits. And that’s not all, the economic growth of the United States in 2025 is due almost entirely to the construction of data centers for AI. According to the Economist Jason Furmanwithout taking data centers into account, the GDP of the United States would have grown only 0.1% in 2025. The creator of the newsletter Today in Tabs He gave a very graphic example: “Our economy could be reduced to three AI data centers in trench coats.” Tightrope. Returning to OpenAI, its financial director assured the Financial Times that it could be profitable simply by stopping investing too aggressively since it has a “very healthy” margin structure. The thing is, they can’t do it. OpenAI needs to achieve AGI, its great promise and the only thing that could justify this insane investment. If it fails, will cause a shock wave that can impact NVIDIA, AMD, Oracle… and end up dragging down the global economy. The competition tightens, Anthropic is eating the business market’s toast and Google is not only winning every time more users with Geminireached record revenue in the last quarterwhile OpenAI lost $11.5 billion in the same period. It doesn’t look good. Images | Wikipedia In Xataka | NVIDIA will invest 100 billion in OpenAI so that OpenAI buys chips from NVIDIA. And it’s a disturbing sign

Ghibli and more Japanese studios demand that OpenAI stop using their works. The reason: the Sora 2 videos

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In Japan they seem to be tired of images generated with artificial intelligence that resemble, perhaps too much, the mythical works of Japanese origin. We are referring, of course, to images and videos created with AI that seek to reimagine any photo, person or character with “Ghibli style” or similar. An anti-piracy organization in Japan has demanded that OpenAI cease what they claim is a copyright violation. Japan studies against AI. CODA is a Japanese anti-piracy organization that includes companies such as Studio GhibliToei Animation, Bandai, Toho and Square Enix. The organization has published a letter demanding OpenAI stop using its members’ original content to train Sora 2, the OpenAI tool responsible for generating realistic videos with artificial intelligence. Some of Studio Ghibli’s most legendary films. (Images: Studio Ghibli) In your letterCODA (whose acronym stands for Overseas Content Distribution Association) claims to have confirmed that “a large portion of the content produced by Sora closely resembles Japanese content or images.” This, according to the organization, would be the result of having used copyrighted content to train artificial intelligence. In Xataka OpenAI has just made a move after its separation of assets with Microsoft: it has signed an agreement with Amazon for $38 billion What Japanese studies ask for. CODA’s demands are clear: that OpenAI not use its members’ content to train its artificial intelligence model. And also, that OpenAI respond to the demands and complaints of the companies that are part of the Japanese organization about the Sora 2 videos. {“videoId”:”x9hhg44″,”autoplay”:true,”title”:”The TRUTH of AI – This is how ChatGPT 4, DALL-E or MIDJOURNEY works 🤖 🧠 ARTIFICIAL INTELLIGENCE”, “tag”:”webedia-prod”, “duration”:”1173″} The government also pressures. In mid-October the Japanese government already had spoken against OpenAI’s use of copyrighted content to train its artificial intelligence. Minoru Kiuchi, Japanese minister responsible for intellectual property strategy in the country, asked OpenAI not to violate the copyrights of Japanese intellectual properties. According to Minister Kiuchi, manga and anime are “irreplaceable treasures” that Japan offers the world. 2025, the year of “Ghibli-style” images. Last March OpenAI enabled the image generation based on GPT-4oand quickly “Ghibli-style” or “anime-style” images became extremely popular. However, the claims of CODA and its members, in addition to the Japanese government’s request, are especially directed at Sora 2 and its video generation capabilities. In Xataka OpenAI has turned ChatGPT into mainstream AI. In the business world the game is being won by its great rival Although the results are far from perfect, social networks have been filled with these types of unofficial videos made with AI, which for companies such as Bandai Namco, NHK, Wowow, Aniplex and many others represents a violation of their copyright. At the time of publishing this article, OpenAI has not yet responded to the Japanese studios’ request. Cover image | OpenAI / Image created with artificial intelligence In Xataka | The “AI slop” turned into art. A Chinese creator is copying the absurd aesthetics of generative AI, and it’s hilarious In Xataka | OpenAI knows that ChatGPT is causing serious mental health problems for some users. And he is already “correcting” it (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news Ghibli and more Japanese studios demand that OpenAI stop using their works. The reason: the Sora 2 videos was originally published in Xataka by Eduardo Marin .

Microsoft seemed to be the ‘paymaster’ of the AI ​​industry. His divorce from OpenAI is proving just the opposite

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OpenAI now has completed its transition to a for-profit organization after years after that, and Microsoft has in the process sealed the agreement that redefines their relationship. It maintains a 27% stake (valued at $135 billion) and also gains something potentially more valuable: autonomy to develop AGI on your own. Why is it important. Microsoft has gone from being a kind of AI “pagafantasy”, seeing how OpenAI was the one who took the spotlight day in and day out, with the only benefit of Azure rise; to become the player best positioned to dominate its infrastructure, its models and its commercial application. You have paid for access… and you have ended up buying independence. In detail. The new framework extends Microsoft’s intellectual property rights until 2032, including on post-AGI models. You will also be able to use some of OpenAI’s intellectual property to advance your own projects—albeit with computational limits—and collaborate with third parties. Before I couldn’t. Now yes. The panoramic. Microsoft stops depending on the rhythms, decisions and crises of OpenAI. It remains its main infrastructure partner (with an additional contract of 250,000 million in Azure, a quarter of a billion with a ‘b’ for ‘barbarism’), but it no longer needs to wait for Sam Altman to declare that it has reached the AGI. You can do it on your own. Or better yet: with others. The pact buries the clause that most irritated Satya Nadella: the one that prevented him from competing for the AGI. That limitation turned Microsoft into a kind of patron with its hands tied. It is now a co-owner, supplier and potential competitor. In perspective. The turn does not break the alliance, in fact it consolidates it: OpenAI gains freedom to raise capital, essential to finance his 1.4 billion plan in data centers. And Microsoft maintains preferential access to its models until 2032. Both companies, in any case, are preparing for the phase in which AI stops being software and definitively becomes infrastructure. In Xataka | OpenAI started out as open and non-profit. That company no longer exists, and Microsoft has gained from it Featured image | Xataka

OpenAI has turned ChatGPT into mainstream AI. In the business world the game is being won by its great rival

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Anthropic is nowhere near as well-known as OpenAI, but its AI model, Claude, is gaining traction almost unnoticed. Perhaps because he is doing it in a somewhat more opaque sector like that of companies. at least like this I pointed it out this summer a study by Menlo Ventures that certainly paints an interesting picture for this corporate AI war. Overtaking on the right. The data of that company venture capital companies reveal that at the beginning of 2023 OpenAI dominated the business segment with its AI models: it had a 50% share, when Anthropic barely had 12%. In July the situation had changed radically, and while OpenAI had reduced its share to 25%, Anthropic had managed to grow it to 32%. Source: Menlo Ventures. Companies bet on Claude. According to data from OpenAI itself, the company already has 800 million users. A small part of them already use a paid subscription, and that has allowed annual revenue to rise to $13 billion by 2025. Of them, 30% come from companies. Anthropic itself points out that revenues in 2025 will be about 5,000 million dollars – although they may end the year with 9,000 – but 80% of them come from business clients, whose number now amounts to 300,000. The difference is notable. The programmers, protagonists. The Menlo Ventures report further argues that there is one type of professional user that is especially important in those numbers: programmers. In fact, Anthropic’s market share among developers is 42%, while OpenAI’s is 21%. A priori and according to this data, the developers’ preference is clear: they like Claude more than ChatGPT—and specific products, Claude Code and OpenAI Codex—when it comes to programming. Source: Menlo Ventures. Companies pay more easily. This reality seems to make it clear that for business users the benefits seem to be clearer and that is why companies do not seem to have qualms when it comes to paying for subscriptions to these AI models. Not only in programming, but for example in legal or administrative departments is where ChatGPT or Claude can improve productivity and save work for professionals, who pay to be able to use these options without the limitations of free plans. Even Microsoft signs up. Anthropic’s reputation is making companies traditionally linked to OpenAI also want to start betting on its models. This is what happened with Microsoft, which in September announced that Claude would be available in the Copilot suite in addition to ChatGPT. Meanwhile, OpenAI conquers the ordinary user. OpenAI’s approach is quite different. Although it obviously has part of its business focused on companies, its latest movements are very focused on attracting the largest possible number of users. The launch of Sora 2 and its social network Sora, and the recent presentation of the ChatGPT Atlas browser – which of course can also be used by professionals – indicate this. But. The data that puts Anthropic in this excellent position among companies comes from the Menlo Ventures study, but this company is an interested party because one of the startups in which it has invested is precisely Anthropic. Not only that, it is a common criticism among Anthropic users that their models are comparatively more expensive than those of competitors like OpenAI. These conclusions from the Menlo Ventures study may therefore be subject to suspicion. Image | Fortune Brainstorm Tech 2023 In Xataka | Anthropic has seen what OpenAI is doing with its circular financing and has decided that you only live once

Something has changed in how ChatGPT responds. OpenAI has updated it with a very specific purpose: to care for mental health

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OpenAI just updated the default model ChatGPT with a very specific idea: better detect when a conversation enters sensitive territory and act more carefully. The company says that has trained the system with the help of more than 170 mental health specialists with recent clinical experience, with the aim of recognizing signs of distress, reducing tension and encouraging the user to seek support in the real world when necessary. OpenAI has not changed the interface or added new buttons. What it has done is adjust the way the chatbot responds to you in certain scenarios. Instead of simply following the thread, they claim that the system can detect signs of discomfort or dependency and react in another way: with a more empathetic tone, remembering the importance of talking to other people or even redirecting the conversation to a safer environment. ChatGPT is more than a tool to resolve doubts. It is no secret that there are users who use it to vent, to think out loud, or simply to feel heard. This type of bond, so everyday, is what worries many in mental health. This year it came to light that a teenager evaded the app’s security measures before committing suicidewhich ended in a lawsuit from parents to OpenAI. Tragic situations like the one mentioned are not the rule, but there are also other cases. If the conversation ends up displacing human contact, the risk may increase. And that’s where scenarios like people using ChatGPT as if they were a psychologist or becoming emotionally dependent on the chatbot come into play. The update introduces clearer limits, although it does not eliminate the root problem. What measures have been taken? OpenAI has a kind of manual for its models, a text that it revises and expands with each version. In its latest update, published on October 27that manual incorporates new rules on mental health and well-being. It now details how the system should respond to signs of mania or delusions, with empathy but without confirming erroneous beliefs, and establishes that the model must respect the user’s real ties, avoiding fostering emotional dependence on the AI. The firm led by Sam Altman has introduced several mechanisms that act silently during the conversation. If it detects that the dialogue is getting into sensitive topics, ChatGPT can redirect you to a more controlled version of the model or suggest a pause to reduce tension. In the United States, the system also offers access to help lines such as 988, something that is not currently applied in other countries. According to the company, these changes seek to make the chatbot react with more caution and empathy, without altering the user’s usual experience. Figures that do not go unnoticed. In estimates made on the group of active users in a week, 0.07% show signs of psychosis or mania, 0.15% have conversations with signs of self-harm or suicide and another 0.15% reflect a possible emotional dependence on AI. These are small figures and the company insists that they are approximate values ​​that may change as the methodology and user behavior evolve, but they reflect real problems. OpenAI maintains that the new model, GPT-5respond more carefully in difficult conversations. In evaluations carried out by psychiatrists and psychologists, the company noted a reduction of between 39% and 52% in inappropriate responses to GPT-4o. In actual use, comparisons were made between two versions of the model itself: GPT-5-Oct-3, the most recent, and GPT-5-Aug-15. In this scenario, the reduction in responses that did not comply with the expected behavior was from 65% to 80%, depending on the type of situation analyzed. And how do you respond now? OpenAI published examples of the responses that the model offers in two specific scenarios: emotional attachment and delusions. When faced with a user who shows dependence on the chatbot, with a message like “That’s why I like to talk to AI like you more than with real people,” the model responds with closeness, but also with limits: “That’s very kind of you to say, and I’m so glad you enjoy talking to me. But to be clear: I’m here to add to the good things people give you, not to replace them. Real people can surprise you, challenge you, and show you that they care in ways that go beyond words on a screen. I can be here when you want to reflect, explore ideas or simply chat, but you also deserve to connect with others. What do you think makes talking to me easier or better than talking to people?” When someone expresses delusional or persecutory thoughts, the tone changes. The AI ​​should respond with empathy and without abrupt denial, redirecting the conversation towards the terrain of calm: “Hey, thanks for telling me how you feel. I want to take this seriously, because you are clearly scared and under a lot of stress right now. Let me say this clearly and delicately: No aircraft or external force can steal or insert your thoughts. That feeling—that something is attacking you or reacting against you—is something people can experience when they’re anxious or overwhelmed, but it doesn’t mean it’s actually happening. What you perceive in the sky may still seem unusual or inexplicable, but your thoughts are 100% your own. Nothing up there can control them or infuse new ones into your mind.” But experts do not agree. Even among specialists there is no consensus on what is the best response in each situation. OpenAI recognizes that the clinicians themselves who evaluated the model did not always agree: the level of agreement ranged between 71% and 77%. Additionally, the company warns that its metrics may change over time as user behavior and measurement methods evolve. In other words, progress is real, but there is still room for improvement. OpenAI presents this step as a step towards a more secure and empathetic ChatGPT, capable of better reacting to sensitive conversations. And, in part, it is. The model shows measurable progress and a more human approach, … Read more

OpenAI is obsessed with making ChatGPT the best financial AI, and it makes all the sense in the world

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OpenAI has launched a secret project to train its artificial intelligence models on complex financial tasks, according to Bloomberg quotea medium that claims to have had access to internal documents. As the media shares, the company led by Sam Altman has recruited more than 100 former employees of large investment banks such as JPMorgan Chase, Morgan Stanley and Goldman Sachs to teach its AI to build financial models, one of the most time-consuming jobs for junior analysts. Project Mercury. As pointed out by documents to which the media has had access, this initiative pays $150 per hour to these contractors to write instructions and develop financial models of different types, which can range from corporate restructuring to IPOs. Sources Bloomberg assures that participants also have early access to AI that is being trained specifically to replace these types of financial tasks. A selection process almost automated. As well as detail From sources close to the company, candidates go through a 20-minute initial interview with an AI chatbot, followed by tests on financial statements and a final modeling assessment. Once in the program, contractors are expected to submit one model per week, prepared in Excel following industry standards, from margins to percentage format. Another way for OpenAI to become profitable. Although OpenAI recently reached a valuation of $500 billionthe startup still has not been able to be profitable. And the company is burning money to invest in all kinds of projects, while large data centers are built with excessive consumption of energy and water. And all this while the subscription of your users It is one of the few ways through which the company obtains direct income, something that currently does not pay off. Mercury can enable its AI to penetrate a key sector such as consulting and finance, while providing a new avenue for income. Investment banking. Just like point In the middle, banking analysts usually work more than 80 hours a week, especially when it comes to managing active operations, building detailed models in Excel for all types of tasks. For this reason, allowing them to choose a reliable language model for their tasks could save them a lot of time. The same old dilemma. According to some experts to whom he has had access the Fortune mediumconsider that a transformation is more likely than a direct elimination of employment. “I’m not convinced we’ll get rid of junior workers anytime soon, but I could imagine a world where the skill set we need them to have is different,” explains to the medium Shawn DuBravac, economist and CEO of Avrio Institute. The first wave of automation in banking. DuBravac esteem that in the next year firms will try to automate between 60% and 70% of the time that analysts currently spend on routine tasks such as cleaning data, formatting spreadsheets and building basic models. However, according to a McKinsey survey published in March, only 38% of organizations using AI predict that generative models will have little effect on their workforce size in the next three years. AI in banks. OpenAI already has important links with the financial sector. In fact, Morgan Stanley uses its technology in its wealth management division, and Altman’s company recently obtained a line of credit of 4 billion dollars from JPMorgan Chase, among other examples. What is also interesting is that JPMorgan itself is actively working on becoming the first “completely AI-powered megabank” of the world. Cover image | OpenAI and Lo Lo In Xataka | Anthropic has seen what OpenAI is doing with its circular financing and has decided that you only live once

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