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중도 성향
IT/기술
DeepSeek V4 Pro beats GPT-5.5 Pro on precision
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IT/기술 · "DEEPSEEK" · 총 14건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 83,331건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 4,398건(5.3%)·중립 76,798건(92.2%)·부정 2,135건(2.6%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 15.3(중도 균형)입니다.
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A research team that includes Huawei Technologies says it has successfully used the firm’s Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model, marking a major step forward as China’s semiconductor industry tries to leap from supporting basic AI inference to more complex model training amid tightening US sanctions. While Chinese chipmakers have found success in supporting AI inference – the relatively simple process of running an already-finished model to answer user...
The Hong Kong Generative AI Research and Development Centre (HKGAI) has officially launched a new DeepSeek-based large language model that can run on domestic chips, as the government-backed lab seeks to commercialise its products and export Chinese AI overseas. The HKGAI-V3 model, built on DeepSeek V4, has achieved “significant improvements” in efficiency and agentic capabilities, the centre said on Wednesday. The home-grown model delivered over tenfold improvement in the efficiency of token...
Chinese artificial intelligence start-up DeepSeek is finalising its first external fundraising round, securing over 50 billion yuan (US$7.4 billion) at a valuation of just under US$60 billion, according to people familiar with the matter – marking a six-fold leap from its US$10 billion valuation in April. The blockbuster round highlights intensifying global competition and a shifting strategy for the AI breakout star, which had previously resisted external capital. Market-oriented investors and...
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ФСБ заявила о раскрытии операции иностранных спецслужб по установке вредоносного ПО на телефоны российских чиновников. По версии ведомства, злоумышленники могли получать доступ к данным пользователей и прослушивать переговоры. Одновременно ФСБ предупредила об угрозе взлома iPhone через сообщения iMessage, а на опубликованных кадрах показала офисы Cloudflare и Fastly. Как российские власти последовательно борются против Cloudflare — в материале «Новой-Европа». Штаб-квартира Cloudflare в Сан-Франциско, 31 августа 2022 года. Фото: Eric Risberg / AP Photo / Scanpix / LETA . Вредоносное ПО на телефонах чиновников 2 июня ФСБ заявила о раскрытии «акции иностранных спецслужб» по установке «вредоносного программного обеспечения» на телефоны российских чиновников. В пресс-релизе говорится, что с «использованием технических возможностей крупных международных IT-корпораций» у чиновников «снимали данные» и прослушивали переговоры. В ФСБ не уточнили, о каких корпорациях идет речь, но в видео показаны офисы Cloudflare и Fastly. Следственное управление ФСБ возбудило уголовное дело о неправомерном доступе к компьютерной информации (ст. 272 УК) и распространении вредоносных программ (ст. 273 УК). Также ФСБ сообщила об угрозе взлома устройств iPhone: — Обсуждение конфиденциальной информации по ним и вблизи них недопустимо, так как содержание ваших переговоров может стать известно третьим лицам и повлечь наступление необратимых последствий. Помимо этого, директор центра исследования и анализа угроз Лаборатории Касперского Кузнецов заявил ТАСС, что взломать айфон могут путем установки вредоносной программы через «невидимое» сообщение iMessage. По его словам, вредоносная программа попадает на устройство сразу же, как начинается обработка полученного сообщения. После этого «злоумышленники получают полный контроль над устройством, включая запись звука». Блокировки Cloudflare Это не первая попытка российских властей бороться с Cloudflare. Сама компания — это глобальная облачная платформа, которая работает как защитный и ускоряющий фильтр между пользователями и сайтами, блокируя кибератаки и обеспечивая мгновенную загрузку веб-страниц. Среди клиентов компании — Apple, Discord, Canva, OpenAI и многие другие. Сама компания в прошлом году вошла в список 100 самых влиятельных компаний в мире, по версии журнала Time. В России Cloudflare использовали Т-Банк, Ozon, ЦИАН, ТАСС и Kaspersky. У компании есть дата-центры в Москве и Санкт-Петербурге. Как отмечает «Агентство», также России от Cloudflare зависит малый бизнес. Cloudflare публично отказалась прекращать работу в России. Также вплоть до 2024 года компания продолжала выпускать новости в своем блоге на русском языке и поддерживает российских пользователей. «Помимо этого, мы получили несколько звонков с просьбой прекратить работу всех сервисов Cloudflare внутри России. Мы тщательно рассмотрели эти запросы и обсудили их с экспертами из правительства и гражданского общества. „ Наш вывод, сделанный на основе консультаций с этими экспертами, заключается в том, что России нужно больше доступа в интернет, а не меньше», — говорил глава Cloudflare Мэттью Принс. Несмотря на это, в 2023 году Роскомнадзор впервые потребовал от Cloudflare зарегистрироваться в реестре организаторов распространения информации (ОРИ). Компания не выполнила требования, за что получила штрафы сначала в 100 тысяч, а затем в один миллион рублей. В итоге компанию внесли в реестр принудительно. Фото: Eric Risberg / AP Photo / Scanpix / LETA. Центр мониторинга и управления сетью связи общего пользования рекомендовал отказаться от CDN-сервиса CloudFlare. «Американская компания CloudFlare включила в октябре применение по умолчанию на своих серверах расширение TLS ECH (Encrypted Client Hello). Эта технология — средство обхода ограничений доступа к запрещенной в России информации. Его использование нарушает российское законодательство и ограничивается техническими средствами противодействия угрозам (ТСПУ)», — говорилось в заявлении центра. Также в сообщении отмечалось, что „ «CloudFlare была одной из компаний BigTech, которые собирал Госдеп США для обсуждения комплексного и организованного противодействия странам, активно защищающим свой информационный суверенитет». После этого, в марте 2025 года, Роскомнадзор начал массово блокировать CloudFlare. Это привело к проблемам с доступом к сервисам МТС, «Ростелекома», «Билайна», Figma, Genshin Impact, Discord, Twitch, DeepSeek, пишет «Агентство». Всего услугами Cloudflare пользовались примерно 44% всех российских доменов с защитой от DDoS-атак. Сама компания отмечала, что Роскомнадзор замедляет ее трафик на территории России. Из-за этого он упал на 30%. В самом РКН это отрицали, но рекомендовали использовать российские аналоги. В то же время «Коммерсант» писал, что российские аналоги (G-Core Labs, CDNvideo) не покрывают весь функционал Cloudflare и стоят дороже.
Chinese artificial intelligence (AI) startup DeepSeek is nearing completion of its first external fundraising round, with China's state-backed semiconductor investment fund expected to lead the deal, according to media reports. The investor lineup was "largely finalized" by the end of May.
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.
Huawei Technologies’ unveiling of a chip architectural workaround to bypass US sanctions marks a major step towards China’s semiconductor self-sufficiency, giving Beijing powerful new leverage in its tech tug of war with Washington, analysts say. The Chinese tech giant captured global attention on Monday by introducing the new Tau (τ) Scaling Law, which it said lay the groundwork for Huawei to achieve transistor density equivalent to a 1.4-nanometre process in high-end chips by 2031. If proven,...
Beijing has reportedly forbidden top AI talent at firms like Alibaba and Deepseek from traveling abroad without permission Read Full Article at RT.com
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Chinese artificial intelligence start-up DeepSeek’s latest flagship model has been ranked as one of the world’s best on an intelligence-per-dollar basis, far exceeding those from US heavyweights OpenAI and Anthropic in cost-efficiency after a 75 per cent promotional price cut was made permanent. The Hangzhou-based start-up announced the permanent price cut for its V4 Pro model on Saturday, a month after it released the long-awaited V4 generation, which comprises the flagship V4 Pro model and its...
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