How Luzia has become the greatest success produced by Spain

The appearance of chatgpt in November 2022 unleashed a revolution and among those who managed to take advantage of the opportunity were those responsible for Luzia. This chatbot, created in Spain, became very soon a viral phenomenon. He succeeded Thanks to your ability to transcribe WhatsApp voice audios. Suddenly we could “forward” our contact of light on WhatsApp any voice message, which led to the chatbot turning that audio message into a text. The function managed to make Luzia become a really remarkable service very fast. In fact, it was the fastest growing startup in Europe, to the reach a million users faster than Instagram, Spotify and Dropbox did. Today Luzia has 60 million users worldwide, and is present in 60 countries. The project has managed to capture more than 30 million euros of financing, and although the transcription function remains an important part of its options, Luzia – which is still free— Compete with other multimodal chatbots: It allows among other things to translate and summarize texts, solve complex calculations, generate images or talk about issues of all kinds – including personal – empathically. Luzia is available as a free App and Android mobile app, but is also available on WhatsApp with more limited functions. For example, in the WhatsApp version it is not possible to generate images and the number of avatars or “light” is limited. The voice transcription in WhatsApp of Lightia brought one thing: virality The truth is that since its launch many things have happened in the field of AI and the proposals that manufacturers are making us reach, and it was a good time to know what the current state and the future of light is. For this we have been able to talk to Álvaro Higes, CEO of Luzia. The best known and viral function of light was undoubtedly the transcription of audios in WhatsApp, but now this finishing messaging application offers precisely that option natively, being able to activate easily From WhatsApp settings. That, Higes told us, does not involve a problem for light. In their opinion, the transcription function allowed them to gain notoriety and virality, and in any case they will continue to offer it because according to him “WhatsApp will be better integrated, but Luzia is better, especially in multi -mounted.” In its beginnings this chatbot was based on the OpenAi APIS to talk and answer questions, and on the Whisper For audio transcription. Things have changed, and now the panorama is much more diverse for light. For Higes “the models are Commodities For users, They are almost indistinguishableso what we have done a lot is to improve efficiency but also improve product. “What they do, explained, is to use more suppliers and choose one or the other according to complexity. This use of diverse models also applies in the “personalities” of light, virtual avatars configured to be especially suitable in certain scenarios. This option joins the gamification that they apply in Luzia and that is inspired by what is used in Duolingo. As Higes explained to us, many users use the AI ​​for the first time and have that “wow effect”, but then they don’t know what they could do with these tools. Gamification helps in that and makes us use and above all discover new IA options is more useful and fun. A business model to be defined There was another inevitable issue that was part of the conversation: what is the light business model? The platform can still be used for free even though using these APIs from different IA suppliers is not cheap. In fact, costs can be quickly multiplied if we consider that Luzia already has the aforementioned 60 million users. There are many requests that impose an expense, so how do they assume everything? The answer is simple. Those 30 million euros that he captured in the investment rounds are those that are allowing to provide this service without that at the moment being cost for users. As Higes explained, “Today we spend money from the roundsbut we have a future strategy. “ A potential business model “maybe ads and sponsored links” For him “it is difficult to charge for something that you do not know how to use it”, and he told us how at the beginning “the temptation was to put a paywall and charge for access.” That, he points out, would have allowed them to have initial income, “but we would have killed soon”, something that did happen with other competitors, he says. “Thanks to the venture capital we can understand the user’s profile, how these functions are used, what value is generated.” The ways of obtaining income are not yet completely defined, but confessed that a solution “maybe the ads and the sponsored links in the future “, as with the search engines. He indicated that they had already done small experiments about it, and certainly seems inevitable that sooner rather than later the advertising reaches these services: Perplexity is a good example of this. According to Higes, with end users “it will be very difficult to monetize via payment wall,” as premium services (Chatgpt plus, COPILOT PROetc), and for him “we are as in the principles of the Internet”, when everything, including the business model, was still to be defined. Future challenges for light and for AI We take the opportunity to ask Higes for their vision of the great trends in the AI ​​segment and the situation of the current models. Thus, we asked him what he thought of That possible “deceleration” that we are living. For him there is still a margin of improvement and although the differences of performance are lower, “there are many other ways of climbing the performance of the models, which will continue to improve.” On the models that “reason” as O1 or O3 confessed that “I am using o1 less than I expected“. For Higes” current models (chatgpt, claude, gemini) are good for 90% of use cases. “Meanwhile, O1 and … Read more

the first plasma produced by the SMART reactor invites us to optimism

We have news of the experimental reactor of nuclear fusion from the University of Seville. Very good news. The SMART Tokamak plan aims to develop a type reactor tokamak extraordinarily compact. In fact, the acronym SMART comes from the English name ‘SMall Aspect Ratio Tokamak’. Building a compact fusion energy reactor is not easy. In fact, ITER (International Thermonuclear Experimental Reactor), the experimental fusion reactor that an international consortium led by Europe is building in the French town of Cadarache, is gigantic for several good reasons. The most relevant is that a large vacuum chamber together with high intensity magnetic fields allow the plasma to be stabilized more effectively. And the other advantage is that This design minimizes energy loss. The SMART experimental fusion reactor that the engineers at the University of Seville are working on does not have the titanic size that ITER will have in its favor, but this does not mean that it will not come to fruition. In fact, its strategy is radically different from that of ITER and its design is surprisingly innovative. In any case, the development of SMART is being carried out within the international initiative Fusion2Gridso Seville researchers are not alone in this adventure. They work side by side with scientists from the Plasma Physics Laboratory at Princeton University (USA). SMART has generated the first plasma with negative triangularity The vacuum chamber in which the fusion of the deuterium and tritium nuclei, the two isotopes of hydrogen involved in the fusion reaction, occurs does not need to be as large in the SMART reactor as in ITER or other experimental fusion machines because because it has negative triangularity in its favor. Broadly speaking, triangularity identifies the geometry of the plasma within the tokamak by being confined inside the magnetic field. SMART’s negative triangularity causes the plasma cross section to compress toward the center By adopting positive triangularity, which is common in experimental fusion reactors of the type tokamakthe widest part of the triangular section of the plasma is outside the center of the vacuum chamber. This geometry is very well known, and it works, although it is not optimal to control plasma turbulence. In contrast, SMART’s negative triangularity causes the plasma cross section to compress toward the center, so the widest part faces the inside of the vacuum chamber. Negative triangularity has two major advantages. On the one hand, it is very effective in controlling plasma instabilities. And, in addition, it helps to distribute the heat at the base of the reactor in a more homogeneous way. Its biggest problem is that this technology is still young and requires much more research. Fortunately, researchers at the University of Seville are on the right track. On a very good path. And they have already done the first plasma testa milestone that marks the beginning of the experimental phase of the SMART reactor. “We were all very excited to see the first magnetically confined plasma, and we look forward to harnessing the capabilities of the SMART reactor together with the international scientific community (…) SMART has attracted enormous interest around the world“, Eleonora Viezzer has declaredphysicist and professor at the University of Seville. The initial investment in this project has been slightly more than five million eurosbut over its estimated 10 years of development it will presumably require a total investment of about 500 million euros. Image | University of Seville More information | Nuclear Fusion | University of Seville In Xataka | “We are already on the last step”: how Spain has obtained the key to making nuclear fusion a reality

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