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Cita de: Benzino Napaloni en Abril 19, 2025, 11:35:45 amCita de: el malo en Abril 19, 2025, 10:30:12 amO puede ser que el gobierno se saque de la manga un Decreto que ponga plazo a las ventas (por ejemplo un impuestaxo a los grandes tenedores que a partir de 2028) y estos mensajes en RRSS sean la preparación (ya saben, hacemos que "el pueblo" nos pida algo, se lo damos y quedamos como salvadores).Lo que veo es que el fin se acerca. Tarde y mal, pero viene.2028 es el año en que caducarán las últimas licencias de pisos turísticos en Barcelona. El legislativo tiene tiempo suficiente para penalizar que esos mismos pisos sigan bajo fórmulas temporales encubiertas.Piensen en Matrix y el combate de Neo contra Smith. Es inevitable. Poco a poco va calando que así no se puede vivir. La jugada de los chinos matando su propia burbuja inmobiliaria les termina de hacer tremendamente competitivos, y fuerza a que nosotros nos posicionemos.El Pisito tiene ya firmada su sentencia de muerte. No será este año ni al siguiente cuando se note. Pero la verdadera pregunta es si vamos a ser capaces de reorientar nuestra economía antes de que sea tarde. La pregunta no es si va a haber dolor o no, es si va a ser soportable y nos va a quedar una sociedad en pie o si vamos a tirarnos los trastos entre nosotros.En este sentido, el artículo que ha enlazado Tomasjos es muy elocuente. La población quiere reindustrializar, tanto en EEUU como en Europa. Los gestores no quieren. ¿Cómo se resuelve esta contradicción?Mientras sigan viniendo extranjeros a vivir e himbertir, no habrá tregua para el precio de la vivienda. Si por lo que sea, empiezan a bajar los costes inmobiliarios, pasarán dos cosas:- esto se llenará aun más de "hermanos" del otro lado del charco que vendran a corriendo a realizar los empleitos que "los de aquí no quieren hacer"..., y- a los seres de la luz del norte aun les sera más rentable himbertir y teletrebajar en este país.Con lo que el nuevo aumento de la demanda impulsará rapidamente los precios al alza de nuevo.... O se prohibe por ley que los no residentes no puedan adquirir viviendas (y se les incentiva a vender las que ya poseen), o poco cambiará la situación. El problema es, como ya sabemos, que el "sistema" está precisamente por todo lo contrario.... (Según AIReF España necesita un millón de migrantes anuales para sostener las pensiones en las próximas décadas)
Cita de: el malo en Abril 19, 2025, 10:30:12 amO puede ser que el gobierno se saque de la manga un Decreto que ponga plazo a las ventas (por ejemplo un impuestaxo a los grandes tenedores que a partir de 2028) y estos mensajes en RRSS sean la preparación (ya saben, hacemos que "el pueblo" nos pida algo, se lo damos y quedamos como salvadores).Lo que veo es que el fin se acerca. Tarde y mal, pero viene.2028 es el año en que caducarán las últimas licencias de pisos turísticos en Barcelona. El legislativo tiene tiempo suficiente para penalizar que esos mismos pisos sigan bajo fórmulas temporales encubiertas.Piensen en Matrix y el combate de Neo contra Smith. Es inevitable. Poco a poco va calando que así no se puede vivir. La jugada de los chinos matando su propia burbuja inmobiliaria les termina de hacer tremendamente competitivos, y fuerza a que nosotros nos posicionemos.El Pisito tiene ya firmada su sentencia de muerte. No será este año ni al siguiente cuando se note. Pero la verdadera pregunta es si vamos a ser capaces de reorientar nuestra economía antes de que sea tarde. La pregunta no es si va a haber dolor o no, es si va a ser soportable y nos va a quedar una sociedad en pie o si vamos a tirarnos los trastos entre nosotros.En este sentido, el artículo que ha enlazado Tomasjos es muy elocuente. La población quiere reindustrializar, tanto en EEUU como en Europa. Los gestores no quieren. ¿Cómo se resuelve esta contradicción?
O puede ser que el gobierno se saque de la manga un Decreto que ponga plazo a las ventas (por ejemplo un impuestaxo a los grandes tenedores que a partir de 2028) y estos mensajes en RRSS sean la preparación (ya saben, hacemos que "el pueblo" nos pida algo, se lo damos y quedamos como salvadores).Lo que veo es que el fin se acerca. Tarde y mal, pero viene.
¿Que podría pasar si quitan a Powell y el presidente de la Fed pasa a ser una marioneta de Trump? ¿Que decisiones, aparte de bajar los tipos a -1% nos podríamos encontrar ? Porque la Casa Blanca estudia como acelerar su marchahttps://www.abc.es/economia/casa-blanca-admite-estudia-precipitar-cese-presidente-20250419125513-nt.htmlLa Casa Blanca admite que estudia cómo precipitar el cese del presidente de la Reserva FederalJerome Powell, criticado por Donald Trump, no acaba su mandato hasta mayo de 2026«El presidente y su equipo siguen estudiando este tema». La Casa Blanca ha admitido que está analizando la destitución del presidente de la Reserva Federal de Estados Unidos (Fed), Jerome Powell, después de que el pasado jueves el presidente del Gobierno, Donald Trump, realizara duras críticas a su trabajo en el Despacho Oval.En concreto, Trump cuestionó la supuesta lentitud de Powell a la hora de recortar las tasas de interés tal y como sí hizo el Banco Central Europeo (BCE) el pasado jueves y con su singular estilo deslizó que «ya es hora de que termine el mandato de Powell» en una amenaza poco común hacia el principal representante de una de las instituciones más críticas para el funcionamiento del marco económico global.Se da la circunstancia de que a Powell le queda más de un año de mandato al frente de la Reserva Federal, ya que su periodo como presidente no finaliza hasta el 15 de mayo de 2026, y además su función como consejero de la institución se prolonga aún hasta el 31 de enero de 2028, por lo que habría que precipitar su destitución para que la Administración Trump pudiera acometer un relevo de esa naturaleza.El mandato de Jerome Powell debería terminar en mayo de 2026Nada de esto parece frenar a la Casa Blanca, que según admitió el viernes su portavoz económico, Kevin Hasset, en declaraciones de las que se hizo eco Bloomberg y recogidas por Europa Press, está estudiando la situación para ver el margen de maniobra del que se dispone para poder cesar a Powell.El presidente de la Reserva Federal enfatizó esta semana que la ofensiva arancelaria de Trump estaba complicando la labor de la Reserva Federal, ya que ahora tendría que decidir entre orientar la política monetaria al control de la inflación o a prevenir el incremento del desempleo por la previsible desaceleración económica, sino recesión, en que podría entrar la economía estadounidense.
[...]La fabricación industrial es una fase histórica superada.Enésimo ejemplo: China no necesitó fabricar los mejores coches hasta que quiso exportarlos. Estamos en ese punto. Esta es la mano que hemos empezado a jugar (y la respuesta europea fueron aranceles).[..]
US Chipmakers Fear Ceding China's AI Market to Huawei After New Trump RestrictionsPosted by EditorDavid on Sunday April 20, 2025 @12:34AM from the losing-your-chips dept.The Trump administration is "taking measures to restrict the sale of AI chips by Nvidia, Advanced Micro Devices and Intel," especially in China, reports the New York Times. But that's triggered a series of dominoes. "In the two days after the limits became public, shares of Nvidia, the world's leading AI chipmaker, fell 8.4%. AMD's shares dropped 7.4%, and Intel's were down 6.8%." (AMD expects up to $800 million in charges after the move, according to CNBC, while NVIDIA said it would take a quarterly charge of about $5.5 billion.)The Times notes hopeful remarks Thursday from Jensen Huang, CEO of Nvidia, during a meeting with the China Council for the Promotion of International Trade. "We're going to continue to make significant effort to optimize our products that are compliant within the regulations and continue to serve China's market." But America's chipmakers also have a greater fear, according to the article: "that their retreat could turn the Chinese tech giant Huawei into a global chip-making powerhouse."Citar"For the U.S. semiconductor industry, China is gone," said Handel Jones, a semiconductor consultant at International Business Strategies, which advises electronics companies. He projects that Chinese companies will have a majority share of chips in every major category in China by 2030... Huang's message spoke to one of his biggest fears. For years, he has worried that Huawei, China's telecommunications giant, will become a major competitor in AI. He has warned U.S. officials that blocking U.S. companies from competing in China would accelerate Huawei's rise, said three people familiar with those meetings who spoke on the condition of anonymity.If Huawei gains ground, Huang and others at Nvidia have painted a dark picture of a future in which China will use the company's chips to build AI data centers across the world for the Belt and Road Initiative, a strategic effort to increase Beijing's influence by paying for infrastructure projects around the world, a person familiar with the company's thinking said...Nvidia's previous generation of chips perform about 40% better than Huawei's best product, said Gregory C. Allen, who has written about Huawei in his role as director of the Wadhwani AI Center at the Center for Strategic and International Studies. But that gap could dwindle if Huawei scoops up the business of its American rivals, Allen said. Nvidia was expected to make more than $16 billion in sales this year from the H20 in China before the restriction. Huawei could use that money to hire more experienced engineers and make higher-quality chips. Allen said the U.S. government's restrictions also could help Huawei bring on customers like DeepSeek, a leading Chinese AI startup. Working with those companies could help Huawei improve the software it develops to control its chips. Those kinds of tools have been one of Nvidia's strengths over the years.TechRepublic identifies this key quote from an earlier article:Citar"This kills NVIDIA's access to a key market, and they will lose traction in the country," Patrick Moorhead, a tech analyst with Moor Insights & Strategy, told The New York Times. He added that Chinese companies will buy from local rival Huawei instead.
"For the U.S. semiconductor industry, China is gone," said Handel Jones, a semiconductor consultant at International Business Strategies, which advises electronics companies. He projects that Chinese companies will have a majority share of chips in every major category in China by 2030... Huang's message spoke to one of his biggest fears. For years, he has worried that Huawei, China's telecommunications giant, will become a major competitor in AI. He has warned U.S. officials that blocking U.S. companies from competing in China would accelerate Huawei's rise, said three people familiar with those meetings who spoke on the condition of anonymity.If Huawei gains ground, Huang and others at Nvidia have painted a dark picture of a future in which China will use the company's chips to build AI data centers across the world for the Belt and Road Initiative, a strategic effort to increase Beijing's influence by paying for infrastructure projects around the world, a person familiar with the company's thinking said...Nvidia's previous generation of chips perform about 40% better than Huawei's best product, said Gregory C. Allen, who has written about Huawei in his role as director of the Wadhwani AI Center at the Center for Strategic and International Studies. But that gap could dwindle if Huawei scoops up the business of its American rivals, Allen said. Nvidia was expected to make more than $16 billion in sales this year from the H20 in China before the restriction. Huawei could use that money to hire more experienced engineers and make higher-quality chips. Allen said the U.S. government's restrictions also could help Huawei bring on customers like DeepSeek, a leading Chinese AI startup. Working with those companies could help Huawei improve the software it develops to control its chips. Those kinds of tools have been one of Nvidia's strengths over the years.
"This kills NVIDIA's access to a key market, and they will lose traction in the country," Patrick Moorhead, a tech analyst with Moor Insights & Strategy, told The New York Times. He added that Chinese companies will buy from local rival Huawei instead.
Huawei introduces the Ascend 920 AI chip to fill the void left by Nvidia's H20The Ascend 920 supposedly offers a performance comparable to the Nvidia H20.Jowi Morales · 2025.04.19(Image credit: Huawei)On April 9, Donald Trump extended the ban on AI chip exports to China to include the Nvidia H20. Just one day after this, Huawei announced the Ascend 920—its next-generation AI chip—at a partner conference. DigiTimes Asia reports that the Ascend 920 is expected to hit mass production in the latter half of 2025, and experts say it will be able to replace the H20 chips that Chinese can no longer access.The Nvidia H20 chip is still a popular option for Chinese companies despite being less potent than its latest AI offerings. The company has made billions of dollars selling this defanged AI chip to the region, with its sales reportedly growing 50% quarter over quarter. Unfortunately, the party is over for Nvidia, with the company expected to take a $5.5 billion write-off due to lost sales.This is a massive opportunity for Huawei, which has been trying hard for years to match Nvidia’s capabilities. Its current AI chip, the Ascend 910C, seemingly delivers about 60% of the competing Nvidia H100’s inference performance. On the other hand, the next generation Ascend 920, which will use the 6 nm process node, is expected to exceed 900 TFLOPs per card and boast a 4 TB/s memory bandwidth using HBM3 modules. Furthermore, its 920C variant, which is built for Transformer and Mixture of Experts models, will also reportedly improve efficiency by about 30% to 40% compared to its predecessor.Huawei’s Ascend 920 reveal caught a few industry insiders by surprise, especially as it was made almost immediately after the White House announced the ban on Nvidia’s H20 and AMD’s MI308. Moreover, Trump reportedly paused the planned H20 export ban after Huang spent a million dollars to have dinner with the president at his Mar-a-Lago residence.But this planned expansion of export controls has reportedly been in the works for several months now, so it’s likely that the Chinese chipmaker has been anticipating its arrival. Because of this, Huawei has likely been working on the Ascend 920 in the background, and it was just waiting for the chip restrictions to drop before making its announcement.Aside from the Ascend 920, Huawei also revealed its AI CloudMatrix 384 solution at the same partner conference. This rack-scale solution delivers more performance than the Nvidia GB200, but at the cost of higher power consumption. Despite that, it will probably attract attention from Chinese companies, especially as neighboring countries like Singapore and Malaysia are clamping down on smuggling rings trying to bring sanctioned chips into China.
Huawei's new AI CloudMatrix cluster beats Nvidia's GB200 by brute force, uses 4X the powerChina throws egregious power at its AI problemAnton Shilov · 2025.04.18(Image credit: Huawei)Unable to use leading-edge process technologies to produce its high-end processors for AI, Huawei has to rely on brute force – install more processors than its industry competitors to achieve comparable performance for AI.To do this, Huawei took a multifaceted strategy that includes a dual-chiplet HiSilicon Ascend 910C processor, optical interconnections, and the Huawei AI CloudMatrix 384 rack-scale solution that relies on proprietary software, reports SemiAnalysis. The whole system provides a 2.3X lower performance per watt than Nvidia's GB200 NVL72, but it still enables Chinese companies to train advanced AI models.At glanceHuawei's CloudMatrix 384 is a rack-scale AI system composed of 384 Ascend 910C processors arranged in a fully optical, all-to-all mesh network. The system spans 16 racks, including 12 compute racks housing 32 accelerators each and four networking racks facilitating high-bandwidth interconnects using 6,912 800G LPO optical transceivers. Unlike traditional systems that use copper wires for interconnections, CloudMatrix relies entirely on optics for both intra- and inter-rack connectivity, enabling extremely high aggregate communication bandwidth. The CloudMatrix 384 is an enterprise-grade machine that features fault-tolerant capabilities and is designed for scalability. In terms of performance, the CloudMatrix 384 delivers approximately 300 PFLOPs of dense BF16 compute, which is nearly two times the throughput of Nvidia’s GB200 NVL72 system (which delivers about 180 BF16 PFLOPs). It also offers 2.1 times more total memory bandwidth despite using HBM2E and over 3.6 times greater HBM capacity. The machine also features 2.1 times higher scale-up bandwidth and 5.3 times scale-out bandwidth thanks to its optical interconnections. However, these performance advantages come with a tradeoff: The system is 2.3 times less power-efficient per FLOP, 1.8 times less efficient per TB/s of memory bandwidth, and 1.1 times less efficient per TB of HBM memory compared to Nvidia.Comparison between Nvidia's GB200 NVL72 and Huawei's CloudMatrix CM384But this does not really matter, as Chinese companies (including Huawei) cannot access Nvidia's GB200 NVL72 anyway. So if they want to get truly high performance for AI training, they will be more than willing to invest in Huawei's CloudMatrix 384. At the end of the day, the average electricity price in mainland China has declined from $90.70 MWh in 2022 to $56 MWh in some regions in 2025, so users of Huawei's CM384 aren't likely to go bankrupt because of power costs. So, for China, where the energy is abundant, but advanced silicon is constrained, Huawei's approach to AI seems to work just fine.HiSilicon Ascend 910C: Huawei goes dual-chipletWhen we first encountered Huawei's HiSilicon Ascend 910C processor several months ago, it was a die shot of its compute chiplet, presumably produced by SMIC, which had an I/O that was supposed to connect it to its I/O die. This is why we thought it was a processor with one compute chiplet. We were wrong. Apparently, the HiSilicon Ascend 910C is a dual-chiplet processor with eight HBM2E memory modules and without an I/O die that resembles AMD's Instinct MI250X and Nvidia's B200. The unit delivers 780 BF16 TFLOPS compared to MI250X's 383 BF16 TFLOPS and B200's 2.25 - 2.5 BF16 TFLOPS. Comparison between Nvidia's B200 and Huawei's Ascend 910CThe HiSilicon Ascend 910C was designed in China for large-scale training and inference workloads. The processor is was designed using advanced EDA tools from well-known companies and can be produced using 7nm-class process technologies. SemiAnalysis reports that while SMIC can produce compute chiplets for the Ascend 910C, the vast majority of Ascend 910C chiplets used by Huawei were made by TSMC using workarounds involving third-party entities like Sophgo, allowing Huawei to obtain wafers despite U.S. restrictions. It is estimated that Huawei acquired enough wafers for over a million Ascend 910C processors from 2023 to 2025. Nonetheless, as SMIC's capabilities improve, Huawei can outsource more production to the domestic foundry.The Ascend 910C uses HBM2E memory, most of which is sourced from Samsung using another proxy, CoAsia Electronics. CoAsia shipped HBM2E components to Faraday Technology, a design services firm, which then worked with SPIL to assemble HBM2E stacks alongside low-performance 16nm logic dies. These assemblies technically complied with U.S. export controls because they did not exceed any thresholds outlined by the U.S. regulations. The system-in-package (SiP) units were shipped to China only to have their HBM2E stacks desoldered to be shipped to Huawei, which then reinstalled them on its Ascend 910C SiPs.In performance terms, the Ascend 910C is considerably less powerful on a per-chip basis than Nvidia's latest B200AI GPUs, but Huawei's system design strategy compensates for this by scaling up the number of chips per system.More processors = more performanceIndeed, as the name suggests, the CloudMatrix 384 is a high-density computing cluster composed of 384 Ascend 910C AI processors, physically organized into a 16-rack system with 32 AI accelerators per rack. Within this layout, 12 racks house compute modules, while four additional racks are allocated for communication switching. Just like with Nvidia's architecture, all Ascend 910Cs can communicate with each other as they are interconnected using a custom mesh network.However, a defining feature of the CM384 is its exclusive reliance on optical links for all internal communication within and between racks. It incorporates 6,912 linear pluggable optical (LPO) transceivers, each rated at 800 Gbps, resulting in a total internal bandwidth exceeding 5.5 Pbps (687.5 TB/s) at low latency and with minimal signal integrity losses. The system supports both scale-up and scale-out topologies: scale-up via the full-mesh within the 384 processors, and scale-out through additional inter-cluster connections, which enables deployment in larger hyperscale environments while retaining tight compute integration.With 384 processors, Huawei's CloudMatrix 384 delivers 300 PFLOPs of dense BF16 compute performance, which is 166% higher compared to Nvidia's GB200 NVL72. However, all system power (including networking and storage) of the CM384 is around 559 kW, whereas Nvidia's GB200 NVL72 consumes 145 kW. As a result, Nvidia's solution delivers 2.3 times higher power efficiency than Huawei's solution. Still, as noted above, if Huawei can deliver its CloudMatrix 384 in volumes, with proper software and support, the last thing its customers will care about is the power consumption of their systems.
Me queda por resolver el problema de los dólares que posee el resto del mundo.
As Russia and China 'Seed Chatbots With Lies', Any Bad Actor Could Game AI the Same WayPosted by EditorDavid on Saturday April 19, 2025 @12:34PM from the let's-talk dept."Russia is automating the spread of false information to fool AI chatbots," reports the Washington Post. (When researchers checked 10 chatbots, a third of the responses repeated false pro-Russia messaging.)The Post argues that this tactic offers "a playbook to other bad actors on how to game AI to push content meant to inflame, influence and obfuscate instead of inform," and calls it "a fundamental weakness of the AI industry."CitarChatbot answers depend on the data fed into them. A guiding principle is that the more the chatbots read, the more informed their answers will be, which is why the industry is ravenous for content. But mass quantities of well-aimed chaff can skew the answers on specific topics. For Russia, that is the war in Ukraine. But for a politician, it could be an opponent; for a commercial firm, it could be a competitor. "Most chatbots struggle with disinformation," said Giada Pistilli, principal ethicist at open-source AI platform Hugging Face. "They have basic safeguards against harmful content but can't reliably spot sophisticated propaganda, [and] the problem gets worse with search-augmented systems that prioritize recent information."Early commercial attempts to manipulate chat results also are gathering steam, with some of the same digital marketers who once offered search engine optimization — or SEO — for higher Google rankings now trying to pump up mentions by AI chatbots through "generative engine optimization" — or GEO.Our current situation "plays into the hands of those with the most means and the most to gain: for now, experts say, that is national governments with expertise in spreading propaganda."CitarRussia and, to a lesser extent, China have been exploiting that advantage by flooding the zone with fables. But anyone could do the same, burning up far fewer resources than previous troll farm operations... In a twist that befuddled researchers for a year, almost no human beings visit the sites, which are hard to browse or search. Instead, their content is aimed at crawlers, the software programs that scour the web and bring back content for search engines and large language models. While those AI ventures are trained on a variety of datasets, an increasing number are offering chatbots that search the current web. Those are more likely to pick up something false if it is recent, and even more so if hundreds of pages on the web are saying much the same thing...The gambit is even more effective because the Russian operation managed to get links to the Pravda network stories edited into Wikipedia pages and public Facebook group postings, probably with the help of human contractors. Many AI companies give special weight to Facebook and especially Wikipedia as accurate sources. (Wikipedia said this month that its bandwidth costs have soared 50 percent in just over a year, mostly because of AI crawlers....) Last month, other researchers set out to see whether the gambit was working. Finnish company Check First scoured Wikipedia and turned up nearly 2,000 hyperlinks on pages in 44 languages that pointed to 162 Pravda websites. It also found that some false information promoted by Pravda showed up in chatbot answers."They do even better in such places as China," the article points out, "where traditional media is more tightly controlled and there are fewer sources for the bots." (The nonprofit American Sunlight Project calls the process "LLM grooming".)The article quotes a top Kremlin propagandist as bragging in January that "we can actually change worldwide AI."
Chatbot answers depend on the data fed into them. A guiding principle is that the more the chatbots read, the more informed their answers will be, which is why the industry is ravenous for content. But mass quantities of well-aimed chaff can skew the answers on specific topics. For Russia, that is the war in Ukraine. But for a politician, it could be an opponent; for a commercial firm, it could be a competitor. "Most chatbots struggle with disinformation," said Giada Pistilli, principal ethicist at open-source AI platform Hugging Face. "They have basic safeguards against harmful content but can't reliably spot sophisticated propaganda, [and] the problem gets worse with search-augmented systems that prioritize recent information."Early commercial attempts to manipulate chat results also are gathering steam, with some of the same digital marketers who once offered search engine optimization — or SEO — for higher Google rankings now trying to pump up mentions by AI chatbots through "generative engine optimization" — or GEO.
Russia and, to a lesser extent, China have been exploiting that advantage by flooding the zone with fables. But anyone could do the same, burning up far fewer resources than previous troll farm operations... In a twist that befuddled researchers for a year, almost no human beings visit the sites, which are hard to browse or search. Instead, their content is aimed at crawlers, the software programs that scour the web and bring back content for search engines and large language models. While those AI ventures are trained on a variety of datasets, an increasing number are offering chatbots that search the current web. Those are more likely to pick up something false if it is recent, and even more so if hundreds of pages on the web are saying much the same thing...The gambit is even more effective because the Russian operation managed to get links to the Pravda network stories edited into Wikipedia pages and public Facebook group postings, probably with the help of human contractors. Many AI companies give special weight to Facebook and especially Wikipedia as accurate sources. (Wikipedia said this month that its bandwidth costs have soared 50 percent in just over a year, mostly because of AI crawlers....) Last month, other researchers set out to see whether the gambit was working. Finnish company Check First scoured Wikipedia and turned up nearly 2,000 hyperlinks on pages in 44 languages that pointed to 162 Pravda websites. It also found that some false information promoted by Pravda showed up in chatbot answers.
Cita de: R.G.C.I.M. en Abril 19, 2025, 16:03:43 pmMe queda por resolver el problema de los dólares que posee el resto del mundo.https://x.com/KobeissiLetter/status/1913599765608010231Saludos.
CitarAs Russia and China 'Seed Chatbots With Lies', Any Bad Actor Could Game AI the Same WayPosted by EditorDavid on Saturday April 19, 2025 @12:34PM from the let's-talk dept."Russia is automating the spread of false information to fool AI chatbots," reports the Washington Post. (When researchers checked 10 chatbots, a third of the responses repeated false pro-Russia messaging.)The Post argues that this tactic offers "a playbook to other bad actors on how to game AI to push content meant to inflame, influence and obfuscate instead of inform," and calls it "a fundamental weakness of the AI industry."CitarChatbot answers depend on the data fed into them. A guiding principle is that the more the chatbots read, the more informed their answers will be, which is why the industry is ravenous for content. But mass quantities of well-aimed chaff can skew the answers on specific topics. For Russia, that is the war in Ukraine. But for a politician, it could be an opponent; for a commercial firm, it could be a competitor. "Most chatbots struggle with disinformation," said Giada Pistilli, principal ethicist at open-source AI platform Hugging Face. "They have basic safeguards against harmful content but can't reliably spot sophisticated propaganda, [and] the problem gets worse with search-augmented systems that prioritize recent information."Early commercial attempts to manipulate chat results also are gathering steam, with some of the same digital marketers who once offered search engine optimization — or SEO — for higher Google rankings now trying to pump up mentions by AI chatbots through "generative engine optimization" — or GEO.Our current situation "plays into the hands of those with the most means and the most to gain: for now, experts say, that is national governments with expertise in spreading propaganda."CitarRussia and, to a lesser extent, China have been exploiting that advantage by flooding the zone with fables. But anyone could do the same, burning up far fewer resources than previous troll farm operations... In a twist that befuddled researchers for a year, almost no human beings visit the sites, which are hard to browse or search. Instead, their content is aimed at crawlers, the software programs that scour the web and bring back content for search engines and large language models. While those AI ventures are trained on a variety of datasets, an increasing number are offering chatbots that search the current web. Those are more likely to pick up something false if it is recent, and even more so if hundreds of pages on the web are saying much the same thing...The gambit is even more effective because the Russian operation managed to get links to the Pravda network stories edited into Wikipedia pages and public Facebook group postings, probably with the help of human contractors. Many AI companies give special weight to Facebook and especially Wikipedia as accurate sources. (Wikipedia said this month that its bandwidth costs have soared 50 percent in just over a year, mostly because of AI crawlers....) Last month, other researchers set out to see whether the gambit was working. Finnish company Check First scoured Wikipedia and turned up nearly 2,000 hyperlinks on pages in 44 languages that pointed to 162 Pravda websites. It also found that some false information promoted by Pravda showed up in chatbot answers."They do even better in such places as China," the article points out, "where traditional media is more tightly controlled and there are fewer sources for the bots." (The nonprofit American Sunlight Project calls the process "LLM grooming".)The article quotes a top Kremlin propagandist as bragging in January that "we can actually change worldwide AI."Saludos.
Gracias cadavre.Ayuda a cuantificar.En todo caso, mi problema no es tanto cuantificar como comprender qué estrategias de desecho del dolar se van a llevar a cabo, y si son acordadas entre los jugadores o no.Además, entiendo que la deuda pública es sólo una parte del mar de dólares, y hay otra mucho mayor proveniente de deuda corporativa y de comercio internacional.Alguien se anima?Sds.
La Casa Blanca hace oficial que el gobierno mintió sobre el origen del covid, sobre el beneficio de la distancia social y sobre el uso de las mascarillas FFP2/N95.https://www.whitehouse.gov/lab-leak-true-origins-of-covid-19/
Ursula Von der Leyen: Las sanciones obligan a Rusia a destruir frigoríficos y lavadoras para conseguir semiconductores https://www.youtube.com/watch?v=45kZxk8OnLY