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Show HN: Performative-UI – a react component library of design tropes
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IT/기술 · "COMPONENT" · 총 29건
필터 보기현재 지수
49.5
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 84,061건을 분석한 결과, 뉴스 심리지수는 49.5(균형)입니다. 긍정 10,377건(12.3%)·중립 60,799건(72.3%)·부정 12,885건(15.3%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 20.0(중도 균형)입니다.
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Elon Musk, dono do X, da SpaceX e da Tesla, em reunião na Casa Branca, em 26 de fevereiro de 2025 Reuters/Bryan Snyder A SpaceX fechou um acordo bilionário para fornecer ao Google uma grande capacidade de computação, reforçando sua posição como fornecedora de infraestrutura para inteligência artificial (IA). O contrato foi anunciado em um momento em que as gigantes da tecnologia disputam recursos para desenvolver modelos de IA cada vez mais avançados. No caso do Google, a capacidade computacional será usada para impulsionar o Gemini, sua família de modelos de inteligência artificial. 🗒️Tem alguma sugestão de reportagem? Envie para o g1 Segundo o acordo, o Google pagará US$ 920 milhões (cerca de R$ 4,7 bilhões) por mês até junho de 2029 para utilizar aproximadamente 110 mil processadores gráficos (GPUs) da Nvidia, componentes amplamente usados no treinamento e na operação de sistemas de IA. Ao longo de todo o contrato, os pagamentos podem chegar a quase US$ 30 bilhões (R$ 153,7 bilhões). A tarifa mensal integral começará a ser paga em outubro de 2026. Agora no g1 No mês passado, a Anthropic, empresa responsável pelo chatbot Claude, também fechou um contrato com a SpaceX para alugar um de seus principais centros de dados em Memphis, nos Estados Unidos. O acordo prevê pagamentos de US$ 1,25 bilhão (R$ 6,4 bilhões) por mês. As instalações foram construídas originalmente para atender a xAI, empresa de inteligência artificial de Elon Musk, que se fundiu à SpaceX em fevereiro. Os acordos com Google e Anthropic foram anunciados poucos dias antes da abertura de capital da SpaceX, que pode se tornar a maior da história. A expectativa é que a empresa seja avaliada em US$ 1,8 trilhão (R$ 9,22 trilhões). Instagram Plus é liberado no Brasil; veja preço e benefícios Óculos inteligentes viram febre em pegadinhas nas redes com exposição de terceiros
SpaceX has secured a significant cloud-services deal with Google, agreeing to a monthly payment of $920 million for computing power through mid-2029. This agreement, covering approximately 110,000 NVIDIA GPUs and other components, aims to meet surging customer demand for Google's AI products.
The Indian defence establishment is increasingly focusing on artificial intelligence, cyber warfare, and emerging technologies as components of future military capability
A team at the University of Cambridge say this is the first time that a vaccine whose active component was 'designed entirely by computer simulations has been tested in humans.'
WiiM, the audio company that's challenged the idea that audiophile-level performance requires a small loan, is expanding its whole-home ecosystem with the WiiM Bar, which releases in July. Much like its other speakers and audio components, the WiiM Bar supports a bunch of streaming options and expandability at an affordable price - in this case, […]
South Korea’s Cabinet on Tuesday approved a bill aimed at fostering the country’s defense semiconductor industry, the Ministry of National Defense said. The bill on nurturing and supporting defense semiconductors is expected to be promulgated later this month and could take effect as early as the fourth quarter, after related enforcement decrees and regulations are prepared. Defense semiconductors are key components of advanced weapons systems, but the sector has lacked a dedicated legal framewo
CEO da Nvidia, Jensen Huang, apresenta a RTX Spark GPU. REUTERS/Ann Wang A Nvidia voltou a chamar atenção para os chamados PCs com inteligência artificial após o presidente-executivo da empresa, Jensen Huang, apresentar um novo chip capaz de executar recursos de IA diretamente em notebooks e computadores de mesa. A aposta da companhia acontece em um momento de incerteza sobre a demanda por esse tipo de equipamento. 🗒️ Tem alguma sugestão de reportagem? Mande para o g1 Enquanto a HP afirma que os computadores com IA ajudaram a impulsionar seus resultados financeiros, a Dell disse que o interesse dos consumidores ainda não cresceu no ritmo esperado. Agora no g1 O que é um PC com IA? Fabricantes definem os PCs com IA como computadores capazes de executar tarefas de inteligência artificial diretamente no aparelho, sem depender tanto da internet ou de servidores remotos. Na prática, eles podem processar recursos de IA mais rapidamente e executar funções como assistentes virtuais, chatbots e ferramentas de criação de conteúdo no próprio computador. Hoje, grande parte dos serviços de IA, como ChatGPT e Claude, funciona em data centers. Já os PCs com IA transferem parte desse processamento para a máquina do usuário. Alguns modelos também são capazes de realizar tarefas mais avançadas relacionadas à IA, que normalmente exigiriam servidores mais potentes. Jensen Huang apresenta modelos de laptops usando GPUs RTX Spark. REUTERS/Ann Wang O interesse por esses computadores também cresceu com o avanço dos chamados agentes de IA, programas capazes de executar tarefas de forma mais autônoma, com pouca intervenção humana. A Nvidia apresentou recentemente o chip RTX Spark, desenvolvido em parceria com a MediaTek e a Microsoft. Segundo a empresa, o componente foi criado para permitir que agentes de IA funcionem diretamente no computador, sem depender da computação em nuvem. Os fabricantes esperam que esses recursos atraiam consumidores que já usam IA para atividades como escrever e-mails, organizar compromissos e planejar viagens. A HP informou no fim de maio que os PCs com IA representaram 44% de suas vendas de computadores no segundo trimestre, acima dos mais de 35% registrados no trimestre anterior. Apesar disso, analistas apontam desafios para a popularização desses equipamentos. Entre eles estão a possível escassez de chips de memória e o aumento nos custos de componentes. A consultoria IDC prevê que as vendas globais de computadores poderão cair em 2026 devido à falta de alguns componentes e ao encarecimento da produção. Que tecnologia esses computadores usam? trabalho notebook laptop Pexels Os PCs com IA contam com um componente chamado NPU (unidade de processamento neural), projetado especificamente para tarefas de inteligência artificial. Esse processador trabalha em conjunto com a CPU, responsável pelas tarefas gerais do computador, e com a GPU, usada principalmente para gráficos e processamento paralelo. A combinação desses componentes permite executar aplicações de IA de forma mais eficiente e rápida. Existem preocupações? Logo da Microsoft Unsplash Sim. Uma das principais discussões envolve privacidade. Em 2024, a Microsoft anunciou o recurso Recall, que registrava as atividades realizadas no computador para permitir que o usuário encontrasse informações acessadas anteriormente. A ferramenta gerou críticas por armazenar um histórico detalhado do uso do aparelho. Após questionamentos sobre privacidade e segurança, a empresa adiou o lançamento e reforçou as proteções antes de disponibilizá-la para parte dos usuários. Por outro lado, especialistas afirmam que executar tarefas de IA diretamente no computador pode aumentar a privacidade em alguns casos, já que reduz a necessidade de enviar dados pessoais para servidores externos. Óculos inteligentes viram febre em pegadinhas nas redes com exposição de terceiros Jovens voltam a usar iPods para fugir das distrações do celular Veja o momento em que a Starship faz a separação no espaço
Computex 2026 is underway in Taiwan, and we're expecting all manner of flashy computers with jaw-dropping pricetags (or no pricetags at all) as the entire industry navigates RAMageddon. But for desktop PC gamers, AMD has a different pitch. It's relaunching three old components alongside a big new promise: you won't need to buy a new […]
A rush to build out AI infrastructure has led to soaring demand for everything from computer servers to storage components, networking gear and even legacy chips.
Microchip development has always been a race to build smaller and smaller transistors – the fundamental components of chip circuits. Now China’s Huawei Technologies wants to change the game entirely. Faced with US tech export restrictions that block its access to the world’s most advanced chipmaking machinery, Huawei is proposing a fundamental shift in semiconductor progress: stop obsessing over how small the transistors are and start focusing on how fast data moves through the system. It is a...
Dell's shares surged 33% on Friday as the PC maker's blockbuster results showed that its growing focus on AI servers was helping it capitalize on the data center boom, making the company one of the biggest beneficiaries of the new technology.The company, whose AI servers are crucial components in the global AI infrastructure build-out, is set to add $68 billion to its market value of about $206 billion, if gains hold.A household name in the PC market, Dell has in recent years scaled up its AI hardware business. Dell's AI server revenue of $16.1 billion surpassed its PC unit's $14.6 billion in sales in the quarter.The company's infrastructure solutions segment, home to both traditional and AI-optimized servers as well as other storage, software and networking solutions, has consistently eclipsed PC business revenue in the past four quarters."We've been following Dell a long time and never seen anything like this. Not only do they get an "A" for execution, but you can make an argument that Dell is even the best way to play AI out there," Melius Research analysts said.Dell's outlook for "AI and traditional servers are still very conservative," as the firm has stronger prospects for selling CPU racks to AI cloud providers like CoreWeave and Nscale, the brokerage said.The blowout quarter lifted shares of server makers Super Micro Computer and Hewlett Packard Enterprise 16% and 12%, respectively, while Dell's PC rival HP also rose 8%.Hewlett Packard Enterprise, which reports results on Monday, has also been prioritizing higher-margin product orders. But it has a smaller server business compared with Dell.Dell Chief Operating Officer Jeff Clarke acknowledged the ongoing "supply constrained" environment, particularly concerning memory chips, but said that its customers were actively securing supply for extended periods.The company has banked on balanced price hikes as well as its scale and strong supplier relationships to wade through the memory crisis. Strong returns from its AI server business are also helping cushion the blow to margins from the soaring memory prices.HP, which focuses mostly on PCs and printers, reported 13.2% growth in its personal systemsdivision, while sales in Dell's PC business unit grew 17%, driven by a Windows 11 refresh cycle and growing focus on AI PCs.At least 13 brokerages raised their price targets on Dell stock following the results, giving it a median price target of $255, according to data compiled by LSEG. That is up from $170 before the report.Dell is on track to record its biggest one-day percentage gain if gains hold. It has a 12-month forward price-to-earnings ratio of 20.21, compared with HP's 8.39 and HPE's 14.70.
Samsung Electro-Mechanics and LG Innotek have become the latest focus of Korea’s AI hardware rally as a long-running bet on AI server components turns into a more urgent call on orders, supply shortages and possible price increases. The two stocks were already up sharply before this week, but the rally gained new force Friday. Samsung Electro-Mechanics closed at 2.127 million won, up 15.04 percent from the previous session, while LG Innotek ended at 1.458 million won, up 28.57 percent. That push
As Apple tries to shrink Gemini for the iPhone, a cloud component is probably inevitable.
At least two owners have lost control of their vehicles after a critical suspension component broke. In both cases, the vehicles had been previously serviced.
Same handheld, same specs, just a much steeper bill
Chinese tech companies are racing to deploy artificial intelligence models into robots, shifting the battleground for generative AI from digital chatbots to physical autonomous systems. Alibaba Group Holding’s Qwen3.7-Max model, launched last week, features “tool-calling” capabilities that allow the AI model to act as a digital brain to trigger external software and hardware components. The company said the model could be used to control robots by orchestrating physical actions like navigation,...
This article is adapted by the author with permission from Tech Policy Press. Read the original article. South Africa is not just another developing country struggling to govern artificial intelligence; it is the exception with leverage, and the window to act on it is closing. It holds approximately 88 percent of global platinum-group metal reserves, critical inputs to parts of the semiconductor and data-center supply chains that make AI infrastructure possible. It hosts the largest data-center market on the continent. Its existing hyperscaler relationships give it procurement leverage that most African states will never have. And a major geopolitical contest over AI infrastructure is being fought on its soil right now, between Chinese and American technology companies competing for control of the systems that will underpin an entire continent’s public sector. In physics, leverage requires three things: a fulcrum, a lever arm, and the ability to apply force. The Bushveld Complex, the world’s largest platinum-group metal deposit, is the fulcrum: a mineral endowment that gives South Africa a position in the semiconductor supply chain that no other African state holds. The since-withdrawn draft policy is the lever arm. The unresolved “OPTION” provisions in the policy are where force would be applied. Without a policy that specifies what South Africa wants in return for market access, the lever arm sits unused, and the weight of two of the world’s largest technology ecosystems settles exactly where those ecosystems want it to settle. This makes South Africa a global test case. Not because its proposed means of governance is exemplary, but because it is the one developing country with enough structural leverage to negotiate genuinely different terms, and the one that is choosing, through inaction, not to. The recent announcement of a new panel to update the draft policy is an important opportunity. But the deeper failure is not that an AI policy contained bad references. It is that no verification process caught them before the document entered the public domain. That is a systems problem, not merely a political one. It points to a missing layer in how governments are adopting AI. The contest already underway Last year, Huawei pitched an emerging-product bundle to tech executives across the continent. Huawei was now bundling access to DeepSeek’s large language model with its own cloud and storage infrastructure. The price differential was stark—in some cases by more than 90 percent. At the same time, Microsoft announced plans to spend ZAR 5.4 billion ($300 million) by the end of 2027 on cloud and AI infrastructure in South Africa, building on a prior ZAR 20.4 billion investment. Google, Amazon Web Services, and Oracle already have cloud regions in the country. According to one analysis, the country’s data-center market was valued at US $2.16 billion in 2024, the largest in Africa. These are not commercially neutral investments. Huawei’s infrastructure reach has been explicitly linked to Chinese strategic objectives, including a documented track record of providing governments with surveillance infrastructure through its Safe Cities network. U.S. hyperscaler investment comes with its own dependency structure: closed models, pricing set unilaterally, and terms of access that no African government has meaningfully shaped. South Africa is being asked to choose between these dependency models without a policy that specifies what it wants in return. The leverage it has There is a particular irony in South Africa’s position. The country whose mines supply platinum-group metals essential to semiconductor manufacturing, and through them to AI compute, has drafted a policy that treats it as a consumer of AI systems rather than a stakeholder in their governance. South Africa digs up the minerals that make AI possible. It has no say over the AI built from them. The AI triad framework covers algorithms, compute, and data. South Africa has no frontier model development capacity. South Africa holds significant data assets in financial services, health care, and agriculture, with no clear framework for their sovereign management. South Africa possesses PGM (Platinum Group Metals) leverage of global significance on the compute axis, currently being transferred without meaningful condition. It also has exceptionally high solar irradiance and significant renewable-energy potential. A country that can offer both critical mineral inputs and the energy to power the infrastructure those minerals help build occupies a negotiating position of unusual strength. The Draft Policy proposes no minimum terms for hyperscaler investment, no data sovereignty requirements, no technology transfer conditions and no compute visibility mechanism. Multiple provisions are explicitly left unresolved, marked “OPTION,” including the most consequential choices about how governance will function. Infrastructure decisions made now determine what is renegotiable later, and the answer is: very little. Three futures, one default The three infrastructure futures on offer each create a structurally different form of dependency, and only one creates sovereign capability. The Huawei-hosted DeepSeek integration offers low cost and open-source weights, but with data stored on infrastructure potentially accessible under Chinese legal frameworks, creating surveillance dependency in a pattern already documented across Africa. The second is U.S. closed-model dependency: higher capability, more reliable data protection, but complete API dependency on developers abroad. The third is locally hosted open-weight infrastructure: models governed under South African data-sovereignty rules, on infrastructure subject to minimum terms, developed with South African data. As Nathan Lambert at Interconnects has observed, open-weight models are likely the only realistic way to get sovereign AI off the ground as a real effort, enabling local communities and economies to integrate meaningfully with the technology. But this requires procurement conditions, not goodwill. What binding governance looks like The GovAI “Governing Through the Cloud” framework identifies four roles compute providers should accept as conditions of operating at scale: securers (protecting model weights and training data), record keepers (maintaining infrastructure usage logs), verifiers (confirming customer compliance with safety standards) and enforcers (restricting access when violations occur). These are operational requirements, not theoretical categories—specific, enforceable, and well within the bargaining power of a market of South Africa’s size and mineral position. A detailed policy analysis submitted to the Department of Communications and Digital Technologies (DCDT) identifies the specific provisions the final policy must contain: mandatory minimum terms for foreign compute infrastructure investments above ZAR 500 million (~$30 million); a compute reporting threshold; a National AI Safety Institute mandate covering defensive monitoring of AI capability accumulation; and National AI Champion Sector designations to create data assets for domestic model development. Each provision converts a structural advantage into a governance instrument before that advantage is foreclosed by market reality. Just as modern software security increasingly depends on knowing what components are inside a system—model provider, training data, compute environment, evaluation methods, update cadence, human review points, and failure-reporting procedures—public-sector AI governance requires a clear account of the stack before deployment, not after a problem surfaces. A public institution that cannot verify the sources in its own AI policy is unlikely to be ready to verify the AI systems it procures, deploys, or regulates. Why this is the continental test case South Africa’s choices will establish a regional precedent for what is commercially negotiable in AI infrastructure. If South Africa negotiates data-sovereignty guarantees and technology-transfer conditions as requirements for hyperscaler investment, it creates a replicable model. If Microsoft’s $300 million investment and Huawei’s infrastructure expansion proceed on standard commercial terms, as they are currently, it normalizes extractive AI infrastructure across the continent. The lesson is not specific to Africa. Governments everywhere are producing AI strategies while lacking AI assurance infrastructure. South Africa is an early warning, not an isolated case. The public comment period closed when the policy was withdrawn. But a parallel process remains live: the National Treasury’s Draft General Public Procurement Regulations—the legal instrument that will govern every government AI contract—closes for comment on June 15. Those regulations contain no AI-specific provisions. South Africa has more AI leverage than any country on the continent. Some argue, with force, that governance requirements risk deterring the infrastructure investment South Africa urgently needs: compute capacity, reliable energy, venture capital, and talent retention. That concern deserves a direct answer. Minimum procurement terms, compute reporting thresholds, and technology transfer conditions are not barriers to investment. They are the conditions under which investment serves the host country rather than extracting from it. Infrastructure built without minimum terms produces dependency. Infrastructure built with them produces leverage. To serve the public interest, its AI policy must use it. When late last month News24 reported AI-hallucinated references in the draft AI policy, Minister of Communications and Digital Technologies Solly Malatsi withdrew the draft policy. That was a mistake that could cost South Africa and the rest of the continent the initiative on this urgent issue. His more recent constitution of an independent panel is a belated step in the right direction, if it can turn South Africa’s leverage into policy. The panel—chaired by Professor Benjamin Rosman of the Wits Machine Intelligence and Neural Discovery Institute, and including Professors Vukosi Marivate and Alison Gillwald of Research ICT Africa and Dr. Jabu Mtsweni of the Council for Scientific and Industrial Research—has the technical and governance credibility to produce a stronger document. What it has not yet produced is a timeline. No revised draft has been scheduled. South Africa remains without a formal AI governance framework in the interim.
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A Chinese chip pioneer who made his name in Japan – sweeping its top awards and developing the core components of the world’s most advanced production line – has returned to China, along with his team of researchers. Da Bo, a semiconductor prodigy whose research underpins TSMC’s 3-nanometre chip production line in Japan, is listed on the University of Science and Technology of China (USTC) website as a chair professor at the School of Engineering Science. Da joined Japan’s National Institute for...