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Apple believes that its rivals are not doing well in ia. It is the perfect excuse to delay Siri one more year

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We already have news about the arrival of the expected and Nueva Siri. They are not good. Apple points to the spring of 2026 as a launch objective for its new assistant, with the aim of bringing it as part of the update to iOS 26.4, According to Bloomberg sources. The delay is completely in line with The recent interview of Wall Street Journal Craig Federight and Greg Joswiak: Apple knows that he is losing the AI ​​career, and he only has trust that your proposal ends up working in the long term. They painted you little birds in the air. It has been just one year since that presentation of Apple Centered in Apple Intelligence. One in which they told us about an integration of Siri in the system as we had not seen: an assistant with the ability to understand each corner of iOS, with an advanced contextual understanding and integration with each native app of the system. In principle, the final deployment was planned for autumn of 2024, but the delays accumulated and accumulate until they reached a practically unsustainable point. iOS 26 as first real step. Apple took advantage of the WWDC 25 To present iOS 26, one of the Greater changes at the visual identity level Never seen in Apple’s operating systems, now much more unified. Next to him, they finally arrived Artificial Intelligence Functions Applied to everyday use: although for practical purposes they do not go far beyond the translation of texts, filters for calls and some improvements in the generation of genumjis in image playground. After almost a year of delays, Apple finally implied what is its philosophy with AI: work to make it local, but with a functioning similar to that of its rivals. More delays. After the presentation of iOS 26with novelties in AI but not a single word about the new Siri, the question was forced. What is happening with her? The responses of a Craig Federighi, nothing height but not entirely comfortable, perfectly revealed the moment in which Apple is. (Joanna Stern) “Siri is not better than his competition”, (Craig Federight) “already, but it will be, it is our mission.” (Greg Joswiak) “It would be disappointing to launch something that does not meet our quality standards.” (Craig Federight) “This is a new technology, nobody is doing very well right now.” Joswiak, software leader in Apple, justified its road map around the key point: the company wants its AI to be discreet and that the user can perform tasks with the phone without even realizing that he is using Apple Intelligence. In fact, they do not want a dedicated app, as there is for Gemini either Chatgpt. The problem? Google has achieved this goal for a long time. Apple’s rivals are doing well. Although Apple points to the immaturity of the AI ​​for mobiles, the truth is that one of its best moments lives. And phones like Google Pixel or the Samsung Galaxy S25 Ultra They are the best proof of this. Here you have to make a distinction between Gemini as an app integrated in the system, and with Gemini Nano as a language model. On a telephone like the Ultra S25 can: Translate real -time calls without knowing that AI is doing. Remove the background noise from a video automatically, without Gemini telling you what you are doing. You can transcribe a voice recording with a single click, without opening additional applications. If they call you, the phone will automatically detect whether or not spam, without notices about ia. Yes, Google (although its approach is not so local), is able to integrate Gemini silently into the system. So much so that their functions are still native to the system, and the user does not have to know what is done with Ia and what not. Apple needs to overcome Gemini at AI. It will not be easy. Apple, for now, has not shown to live. During the presentation of Apple, Its action fell 1.5%. The expectations were high, but the presentation was a clear Apple message showing not being above any of its direct rivals, and relegating third parties (OpenAi) the most advanced functions of AI. With the looks put in 2026, the pressure to which Apple is subjected is even greater. The maturity point of its main rival, Google Gemini, is very highabove proposals in Benchmarks regarding Grok 3, O3-mini, Deepseek R1, Claude 3 and calls 4. To recover Apple confidence needs results, not promises. Image | Xataka In Xataka | We have discovered something worrying in the AI ​​models: if the problem is too difficult, they give away immediately

Now the company has a plan to stop benefiting its rivals, according to FT

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Deepmind, the firm of Artificial Intelligence (AI) that Google acquired in 2014 and officially integrated into a single division in April 2023it has been for years one of the great referents of the sector. Over time, he has earned that place for the quality of his scientific publications and for gathering some of the brightest researchers. But there are reasons to believe that this approach has begun to change. Several experts cited by Financial Times They ensure that Google Deepmind is delaying the publication of certain advances that it considers “strategic” or delicate in the field of generative AI. The measure is part of a strategy designed to preserve its competitive advantage and prevent its most recent and valuable developments from being exploited by rivals such as OpenAi. Transformers, star architecture Much of the development of generative artificial intelligence is not understood without Google’s advances. One of the most influential milestones was the publication in 2017 of the article ‘Attention is all you need‘, signed by eight researchers, who introduced the Transformers architecture. This approach, in general, allowed the models to process data more efficiently within large volumes of information. This architecture became the base of models such as Bert (bidirectional encoder representations from transformers), developed by Google itself and incorporated into its search engine in 2019 to improve the understanding of natural language. It was also key to the development of presentful systems such as GPT (Generative pre-trained transformers) of OpenAi, where the current ones are framed GPT-4 and GPT-4.5. Google is one of the world’s largest companies in the world. It has a huge financial muscle and access to key technology. Even so, the launch of Chatgptbased on GPT-3.5a model built on Transformers architecture, He took by surprise to the teams directed by L sundaria Pichai. The reaction was a “red code” and an urgent reorganization to compete again in an AI race that today leads OpenAi. It is no secret: when a company becomes a Big Tech, it loses part of the dynamism that defined it in its beginnings as startup. As we counted exactly one year agothey end up transforming into giants where the “move quickly and breaks things” no longer fits. They have too much to protect and a gear with thousands of pieces that cannot allow failures. Risking is not as easy as it seems. Even in this context, it surprises the speed with which the company of the search engine has managed to catch up. In a short time he has launched a AVALANCHA OF IA PRODUCTS based on advanced language models. There it is Geminihis direct rival of Chatgpt; Gemini Livedesigned to compete with Openai’s advanced voice mode; the Gemsthat work as Personalized GPTS; and amazing tools, such as Notebooklm. The new Google pulse The last years have forced the Mountain View company to introduce internal weight changes. One of the most significant affects the policy of publication of scientific articles: if the content is considered strategic, an seizure of six months is imposed before making it public. In addition, the group led by The Nobel Prize winner Sir Demis Hassabis He has hardened his internal processes, with a stricter review. One of the researchers who spoke on condition of anonymity with Financial Times was clear: today he cannot imagine Google by publishing a document like Transformers for general use. In this new dynamic, they say, “the company has become more concerned about the product and less for sharing the results of the investigation for the benefit of the common good ”, an address that can generate some discomfort in the community. Images | Boliviainteligent | Google Deepmind In Xataka | Openai has just lifted the greatest financing round in history: there is a blind faith in the AI ​​despite everything

Siri is not the only broken toy in the world voice attendees. Their rivals still do

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Apple is still choking artificial intelligence implementation. The company confirmed at the end of the week that Siri’s advanced functions would take “More than expected” In arriving, without giving a specific date but advancing that until 2026 we will not have news. The company is late, but it is not the only one in trouble with its intelligent assistant. The great alternative to Siri is Gemini, a solution that most Android manufacturers are beginning to implement in collaboration with Google and that follows very, very green. Don’t wait for the new Siri soon. One of Apple Intelligence’s reasons was The new Siri. Native integration with chatgpt, Natural language understandinganalysis of the content of our phone to meet in detail … recently we could Test Apple Intelligence beta And the conclusion was clear: everything was half building or, directly, it wasn’t. Weeks later, Apple confirmed that Siri’s smartest version “will take longer than expected.” His artificial intelligence is still in beta and the arrival of all the news from this spring was expected. It won’t be so. Apple decided not to get into the AI ​​car when its main rivals were at a point of relative maturity, and These delays They have taken her to the current situation. His rival rubs his hands. Meanwhile, the answer on Android is being clear. This operating system is owned by Google, and Google has Gemini as vitamin assistant with artificial intelligence. Thus, most phones (Oppo, Samsung, Xiaomi, etc.) that are sold in Europe, arrive from Gemini. This is the agent that replaces the classic Google (OK, Google) assistant that we have been using on our phones for so many years, with the main difference of being a Google response to tools such as Chatgpt. Not everything that shines. Gemini has improved, and much, Since we tried it in February 2024. Gemini Live now It is completely freehas no problem to execute simple actions (alarms, searches, etc.), but it is still very far from being a natural assistant. One of its main problems is precisely that the distinction between Gemini and Gemini Live dilutes the use we want to give as an assistant. If, for example, I ask Gemini what I can do today, he will give me an especially extensive answer. If I want to stop talking (in addition, Gemini’s tone is quite robotic and unnatural) I cannot do it comfortably, since the only way that allows interruptions is that of Gemini Live. In other words, in an independent app (such as Gemini or Chatgpt) this distinction between conversational modes makes sense. In a fast and native assistant, everything should be available in the most accessible way. And no, if you tell Gemini if ​​you can speak using Gemini Live, do not activate this mode, start talking without stopping what this way is. Gemini also does not have access to native applications (it only works by extensions and, today, there are very few. It is not even able to make adjustments as simple as lowering/uploading the brightness of the phone, and the same happens with the volume. Much less can change basic system adjustments if we ask. There are no more rivals in sight (still). The only Android manufacturer who bet on a conversational assistant was Samsung with Bixby. This assistant is still alive in One UI 7, but it is so secondary that Samsung herself preinstall Gemini on her phones and its extensions are key to the operation of Galaxy AI. In China, the great manufacturers are beginning to integrate Depseek as the native but, for the moment, there is no advanced voice or native integration. Honor wants to change everything With its AI agent, one capable of performing all kinds of requests, including the most important, those of native adjustments. Image | Apple In Xataka | The new Siri forgets the devices where it is more important: the Homepod and Apple Watch

GPT-4.5 It is not better than its rivals in almost anything. It is the proof that traditional AI models almost do not advance

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Sam Altman I had already warned that they planned to launch GPT-4.5 very soon. We had been waiting for the GPT-4 successor for months, but over time expectations have been going down: there was talk of the Founder of AI And how climbing – more data and more GPUS to train models— It didn’t work so much. Precisely GPT-4.5 was going to be proof that perhaps that was not true. Do you know what? That was probably, because GPT-4.5 is a model with many starting problems. GPT-4.5 is already with us. Yesterday Openai finally presented GPT-4.5the theoretical successor of GPT-4. Sam Altman explained that this was “the first model that makes me feel that I am talking to an attentive person.” Gigantic and expensive. But Altman also recognized something else. “Bad news: it is a giant and expensive model.” The head of OpenAI claimed to have run out of sufficient GPUS to make a mass launch, and the availability of GPT-4.5 is very limited: only Chatgpt Pro users can use it for the moment. Caro no, very expensive. Using the GPT-4.5 model through the OpenAi API is extraordinarily expensive: it costs $ 75 per million input tokens, and $ 150 per million output tokens. GPT-4O costs 2.5 and 10 dollars respectively (30 and 15 times less), and O1, so far the most expensive, costs 15 and 60 dollars respectively. And it is also not a “border” model. He Technical Report OpenAi indicates that this It is not a model “Frontier“ As was GPT-4, for example. That is important, because despite being its largest LLM, the border models are more capable, of large scale and raise risks to generate misinformation or be forced to get out of the standards. In GPT-4.5 they seem to have focused a lot on avoiding errors (it is one of its advantages, it seems to put less the leg according to some test banks). It does not seem better in almost anything. The evidence and benchmarks to which it has been subjected seems to make it clear that the leap into benefits is especially disappointing, especially if we compare it with the new models of its rivals. Is worse in accuracy of the facts that perplexity deep researc, is worse than Claude 3.7 Sonnet in programming According to TechCrunch and Several expertsand it is also worse in reasoning (although it is certainly not oriented to it) than Deepseek R1, O3-mini or Claude 3.7 Sonnet (which is a “hybrid” model). Bittersweet feeling. Experts like Simon Willison either Andrej Karpathy They have shared their first impressions and in both cases the sensation is that GPT-4.5 It is slowis updated only Until October 2023 And it does not represent a really remarkable advance. Willinson came to analyze the debate that dozens of users maintained on GPT-4.5, and in a Summary generated by AI The conclusions were also clear: the numbering itself was inappropriate, the model is too expensive, the price/benefits ratio was very debatable and the performance was not what was expected after so much time. Karpathy’s conclusion is that “it is a little better and that is great, but not exactly in trivial sections of highlighting.” More human? Altman’s appreciation about his conversation how he had been surprised by the conversation capacity of GPT-4.5 Maybe he points to the direction in which this model stands out. Karpathy also pointed to that aspect in saying that the improvement could be shown in “creativity, realization of analogies, general understanding and humor”, which perhaps makes effects effectively with GPT-4.5 give the feeling of being even closer to those we would have with a human being. The climb does not work, the deceleration is here. GPT-4.5 It is a clear example of how we have reached the limits of the scaling. Having a gigantic LLM no longer seems to provide advantages over its predecessors, and dedicate more data and more GPUS to train these models does not seem to make much sense. Altman himself made it clear that GPT-4.5 would be the latest non-reasoning model of the company. That is another sign that demonstrates that the deceleration of the generative AI, at least in regard to traditional models, is a reality. Why have you launched it then? In it OpenAi blog It indicates how “we are sharing GPT-4.5 as a research advance to better understand its strengths and limitations. We are still exploring what they are capable of and we are eager to see how people use it in ways that we would not have expected.” That seems to show doubts that their own creators have with the model, and the question why they have thrown it. They need to continue generating “Hype “. Especially considering that the rivals are very strong lately. Claude 3.7, Grok 3 and of course Deepseek R1 have managed to turn the tortilla and raise a challenge for Openai, which until not long ago seemed to be a step ahead of their rivals. Now that is not clear, and in many sections its competitors already exceed the benefits of their models. OpenAi needs to breastfeed and say “here I am”, but perhaps with GPT-4.5 that movement goes wrong, because at least a priori the benefits are disappointing. And investors squeeze. Some point to another probable theory for this launch. OpenAi could have been forced to launch GPT-4.5 make investorsthat have invested billions of dollars in the company and that need to be calm with their investment. Once again OpenAi has a problem, because it does not seem that GPT-4.5 can leave them calm. It will be difficult for new investors to be convenient with this launch. In Xataka | Openai has a golden opportunity to sweep all its rivals: launch an unlimited chatgpt and full of advertising

All their rivals offer free models that “reason” and Gemini 2.0 is the last example

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All the companies and startups of AI in the United States were so quiet going to their own. And suddenly Deepseek R1 arrived and became a true existential threat to Silicon Valley. The Chinese startup offered a model of reasoning as good as that of its competitors, but also offered it for free (and Open Source!). What has Silicon Valley did? Apply the story, of course. GEMINI 2.0 Razon Free for All. Enough that you visit the Official Gemini website and display the “Gemini” menu from the upper left to check it. You can already use 2.0 Flash Thinking Experimental (its reasoning model) both in normal mode and in “collaborative” mode with services such as YouTube or Maps. And it is totally free. Microsoft Copilot and Think Deper. Microsoft Copilot’s “Think Deper” mode is also available for free In this service of the company. As we explainThink Deper is actually OpenAi O1, but before Microsoft had to pay the subscription of Copilot Pro ($ 20 per month) to enjoy access to that option. The appearance of Deepseek R1 caused it to also offer it in a grauita way (although with a more limited number of consultations). OPENAI O1. The company led by Sam Altman didn’t want to be left behind and less than a week ago presented O3-minia reasoning model that in addition to being especially powerful is available in the Grauita version of chatgpt. We can activate the “Reason” button so that when we ask something, the O3 reasoning capabilities are put into operation. Deepseek R1 and perplexity. Perplexity’s search engine is gradually offering new options. In fact, a few days ago those responsible announced that On the perplexity website We could activate the Reasoning-R1 model based on Deepseek R1, but housed in the US (to avoid suspicions with possible data theft). They even give the option of opting for the Reasoning-O3-mini model, which is the same offered in Chatgpt. Again for free (although limited), but that stands out for being a comfortable way to try Deepseek R1 in its most powerful version. And the rest? This first batch of reasoning models seems to have taken on foot changed to the rest of the great contenders in the AI ​​segment. Anthropic, who is still a reference with Claude, has not launched a reasoning model at the moment. He has not done so Apple, who goes to his own pace. Meta has not launched anything in this regard despite offering a flame as a clear reference of the Ia Open Source model. And Elon Musk seems to be very busy, because Xai is still working In Grok And for the moment there is no news about a potential variant of reasoning. The only remarkable alternative for the moment is Doubao-1.5-Prothe reasoning model fresh by Bytedance, although it is not available as simple as its competitors. The competition benefits users. The impact of Deepseek R1 on the AI ​​segment has been spectacular as we see. When Openai launched O1 In September 2024 he did it by raising him as a very advanced option but also face: only the subscribers of his services could access it in a limited way. Four months later we are using models that rival O1 but that are totally free and that we can use with more and more options. They are great news for users, which at least for now are benefiting from all that rivalry between these companies. The AI ​​that reasons every time is better and cheaper (or free). A graph Created by Shawn Wang (@swyx) and published in his Newsletter, Latent Space, shows a clear evolution of AI models. In that graph you see how its capacity (measured at LMSYS points, a well -known ranking of AI models) is confronted with its cost per million tokens (ratio 3: 1 entry: exit). Here the right and the right is a model, the better, and Gemini 2.0 Flash Thinking seems to be especially well positioned, but this type of graph is changing very quickly. Again, more good news for us, users. In Xataka | Mistral AI is the French startup that opted for efficiency before Deepseek. His future is uncertain

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