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Dağlıoğlu: Yapay zeka rekabetinde ABD ve Çin başı çekiyor

Summary · AI generated

Cumhurbaşkanlığı Yatırım ve Finans Ofisi Başkanı Ahmet Burak Dağlıoğlu, yapay zekanın küresel diplomasinin ve ekonomik rekabetin temel unsurlarından biri haline geldiğini belirterek, yapay zeka yatırımlarının büyük bölümünün ABD ve Çin'de yoğunlaştığını ifade etti. Bu durum, yapay zeka alanındaki küresel güç dengesinin mevcut iki kutuplu yapısını teyit ederken, diğer ülkeler için rekabetçi kalabilme yarışını zorlaştırıyor. Özellikle teknoloji geliştirme, veri yönetimi ve yetenek havuzu gibi kritik alanlarda ABD ve Çin'in önde olması, uluslararası ekonomik ve siyasi ilişkileri yeniden şekillendiriyor. Dağlıoğlu'nun açıklamaları, Türkiye'nin de içinde bulunduğu gelişmekte olan ekonomilerin yapay zeka ekosistemine entegre olma zorunluluğunu vurguluyor. Yatırımların bu iki ülkede yoğunlaşması, dijital egemenlik risklerini artırırken, uluslararası işbirlikleri ve yerel inovasyon politikalarının önemini gündeme taşıyor.

This summary is currently in Turkish; automated English translation is coming soon.

Started 11 Aug, 16:45 9 events Updated 19 Aug
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latest: 19 Aug
  1. Economic11 Aug, 16:45

    Dağlıoğlu'ndan küresel rekabet mesajı: Yapay zeka yatırımlarında ABD ve Çin önde

    Cumhurbaşkanlığı Yatırım ve Finans Ofisi Başkanı Ahmet Burak Dağlıoğlu, yapay zekanın küresel diplomasinin ve ekonomik rekabetin önemli unsurlarından biri haline geldiğini belirterek, yapay zeka yatırımlarının büyük bölümünün ABD ve Çin'de yoğunlaştığını ifade etti.

  2. Security14 Aug, 08:28

    China urged to avoid ‘us or them’ split with US over AI governance

    China should try to make sure that its new international artificial intelligence body is not seen as “naturally opposed” to the United States and its allies in case it puts off prospective members, analysts have warned. They said the World Artificial Intelligence Cooperation Organisation (Waico) was not designed as an alternative to the US Pax Silica partnership, which was established last December with the aim of reducing “coercive dependencies”. Waico was established at the World Artificial...

  3. Humanitarian14 Aug, 10:58

    Çin, gelişmiş yapay zekada günden günde ABD'ye yaklaşıyor

    Çinli yapay zekâ girişimi Z.ai, açık kaynaklı GLM-5.3 modelinin yazılım açıklarını tespit etmede Anthropic'in kısıtlı erişimli Mythos 5 modeline yaklaştığını açıkladı. Çinli yapay zekâ girişimi Z.ai, bugün yaptığı açıklamada, açık kaynaklı GLM-5.3 modelinin yazılım açıklarını tespit etme testlerinde Anthropic'in erişimi kısıtlı Mythos 5 modeline yaklaştığını bildirdi. Bu gelişme, Batılı geliştiriciler arasında ilgi gören Çinli yapay zekâ girişiminin konumunu pekiştirdi. Z.ai, bir modelin kodları inceleme, güvenlik açıklarını belirleme ve bunların gerçekliğini doğrulama kabiliyetini ölçen CyberGym testinde GLM-5.3'ün yüzde 84,5 puan aldığını açıkladı. Şirket, Mythos 5 için bu oranın yüzde 83,8 olduğunu bildirdi. Bu sonuçlar bağımsız kaynaklarca teyit edilmedi. GLM-5.3, savunma amaçlı güvenlik araştırmalarının standart bir parçası olan açıkları çalışan saldırılara dönüştürme aşamasında Mythos 5'in gerisinde kaldı. Z.ai, bu kabiliyeti ölçen ExploitBench testinde kendi modelinin yüzde 54,4, Mythos 5'in ise yüzde 78,0 puan aldığını belirtti. Zamana dayalı ayrı bir testte Z.ai, GLM-5.3'ün iki saatte 105, altı saatte ise 130 saldırı geliştirme görevini tamamladığını açıkladı. Mythos 5 ise aynı sürelerde sırasıyla 181 ve 247 görevi tamamladı. Anthropic, siber güvenlik korumaları kaldırılmış Claude Fable 5 modeli olan Mythos'u yalnızca denetimden geçmiş kuruluşların erişimine sunuyor. Söz konusu kısıtlamalar, yazılım açıklarını bulma ve bunları kullanma kabiliyetine sahip yapay zekâ sistemlerinin savunuculara yardım edebileceği gibi saldırganların işini de kolaylaştırabileceği endişesinden kaynaklanıyor. Z.ai, güvenlik değerlendirmelerini tamamlayıp koruma katmanlarını güçlendirdikten sonra, yaklaşık iki hafta içinde GLM-5.3'ü kamuya açacağını duyurdu. Modelin en hassas siber güvenlik fonksiyonlarının ise "güvenilir erişim" programı aracılığıyla yalnızca doğrulanmış kullanıcılara açık olacağı belirtildi. Şirket, GLM-5.3'e riskli talepleri tarayan, modelin çalışmalarını denetleyen ve zararlı görevleri reddetmesini sağlayan çeşitli koruma katmanları eklediğini açıkladı. Bu önlemlerin, zararlı faaliyetleri hata düzeltme, siber güvenlik eğitimi veya yetkili güvenlik testleri gibi meşru kullanımlardan ayırmak için tasarlandığı ifade edildi. Eleştirmenler ise bir model başkaları tarafından indirilmeye, değiştirilmeye veya harici araçlarla birleştirilmeye açıldığında bu güvenlik önlemlerini uygulamanın zorlaşacağını savunuyor. KAPALI KAYNAKLI MYTHOS MODELİNE KARŞI AÇIK KAYNAK ADIMI Z.ai, bu adımı Mythos'un temsil ettiği kısıtlı erişim modeline bir meydan okuma olarak tanımladı. Şirket, gelişmiş siber savunma araçlarının sınırlı sayıdaki kapalı model sağlayıcısının kontrolünde kalması yerine, açık kaynaklı yazılım geliştiricilerine ve daha küçük güvenlik ekiplerine sunulması gerektiğini savundu. Şirket, seçilen açık kaynak projelerini denetlemek, savunma çalışmaları için modele erişim sağlamak ve ZCode programlama ürününe kod denetim işlevleri eklemek amacıyla "Açık Kaynak Kalkanı" girişimini başlatacağını bildirdi. Ürününü Mythos'a bir alternatif olarak konumlandıran ilk Çinli şirket Z.ai değil. Siber güvenlik şirketi 360, haziran ayında Tulongfeng güvenlik açığı tespit sisteminin yapay zekâ modellerini güvenlik verileri ve otomatik araçlarla birleştirerek Mythos düzeyinde yeteneklere ulaştığını açıklamış, ancak bu iddialar da bağımsız olarak teyit edilmemişti. GLM-5.3, özel amaçlı bir güvenlik sistemi olmak yerine genel amaçlı bir kodlama modeli olmasıyla bu sistemden ayrılıyor. Z.ai, modelin siber güvenlik kabiliyetlerini genişletilmiş eğitim sonrası süreçler ve pekiştirmeli öğrenme yoluyla kazandığını belirtti. Şirket, GLM-5.2 ile aynı temel modeli kullandığını, ancak modeli daha uzun ve çeşitli görev ortamlarında eğittiğini kaydetti. Bu adım, son aylarda denizaşırı geliştiricilerin dikkatini çeken GLM-5.2 modeline yönelik küresel ilginin üzerine inşa edildi. Kullanıcılar ve analistler, GLM-5.2'nin kodlama ve otonom aracı kabiliyetlerinin önde gelen ABD modellerine yaklaştığını ve bunu çok daha düşük bir maliyetle sunduğunu belirtmişti.

  4. Security16 Aug, 12:30

    US-China tech war is coming for AI’s plumbing

    The US Federal Communications Commission (FCC) is reportedly considering a ban on Chinese optical transceivers, signalling that the US-China tech war is expanding beyond the focus on semiconductor chips to shadow even the smallest link in the chain of essential artificial intelligence (AI) hardware. Optical transceivers are small devices that use fibre optic technology to send and receive data as light. The key application of these optical modules is the quick transmission of large amounts of...

  5. Diplomatic17 Aug, 02:31

    Artificial intelligence evolution shifts global competitive landscape

    Artificial intelligence is no longer a future promise. It is becoming part of industrial policy, economic strategy and global governance all at once. For the European Union and China, that means the relationship is not only about trade or technology exchange. It is increasingly about how both sides position themselves in a world where AI is becoming a basic layer of competitiveness. China’s innovation trajectory explains why this matters. In the Global Innovation Index 2025 report released by the World Intellectual Property Organisation, China entered the world’s top 10 for the first time in the global innovation ranking, reflecting strong performance in knowledge and technology outputs, R&D spending and innovation clusters. Its innovation strength is visible not only in the ranking itself, but in the pace at which ideas are translated into industrial use. What makes China especially relevant now is that AI is being treated as a strategic priority, not a stand-alone sector. A three-year plan issued in June aims to accelerate AI integration across the information and communications sector, with targets for more autonomous networks, broader computing-power coverage and expanded AI applications by 2028. That is a clear signal that China sees AI as a tool for upgrading industry, improving productivity and strengthening the country’s long-term competitiveness. For the EU, that should be a reason to stay engaged. China is still a major market, but it is also an innovation ecosystem where new technologies are tested and scaled quickly. More and more European companies are no longer present in China only to sell products. They are there to learn from the speed of development, benchmark their own performance and remain close to where innovation is moving fastest. Breakthrough technologies such as AI and quantum computing are advancing rapidly. At the same time, AI-intensive industries, software companies and pharmaceutical companies continue to raise their research spending. The next wave of innovation is likely to come from actors that keep investing even when the broa­der climate is more cautious. China is already central to that wave. Chinese AI labs are releasing open-weight models that are increasingly competitive with the leading systems of the United States, often at lower cost. That does not settle the AI race, but it does show that leadership is becoming more distributed. The EU cannot shape the future of AI if it remains outside the main centers of development. Governance is the other half of the picture. On July 16, 29 countries signed an agreement in Shanghai to establish the World Artificial Intelligence Cooperation Organisation. The new intergovernmental body is headquartered in Shanghai and is intended to support international cooperation on AI. Its creation shows that it is necessary for China to play a role not only in building AI sys­tems, but also in shaping the rules around them. That should matter to the EU. The EU has a vast market for AI applications, a solid research foundation and experience in setting trust frameworks. China brings scale, speed and industrial depth. Those strengths are different, but they are compatible. On issues such as safety testing, model evaluation, data governance and industrial deployment, there is room for concrete cooperation. The 12th CEIBS Europe Forum in Brussels was a useful reminder of that point. Its theme, “Competition or Complementarity? Strategic Opportunities in EU-China AI Development”, captured the issue well. AI is now a matter of industrial policy, talent, governance and competitiveness, not just algorithms. The EU and China do not need identical political systems or fully aligned policy agendas to work together. They need enough trust to keep channels open, enough curiosity to learn from each other and enough realism to focus on practical questions. How do we test powerful models? How do we ensure data security without blocking research? How do we support innovation while managing risk? These are the questions that will define the next decade. The case for engagement is therefore straightforward. China is now too important to ignore in any serious discussion about the future of AI. The EU, for its part, has to be aware of the fact that its cooperation with China is mutually beneficial if it approaches the relationship with confidence. In a fragmented world, the responsible choice is not separation, but disciplined engagement. Despite rising geopolitical uncertainties, Europe and China can complement each other strongly in terms of markets, industrial capabilities, and innovation ecosystems. China serves as a crucial market and innovation hub for European companies, whose deep engagement in the Chinese market is vital for maintaining their global competitiveness. And AI will not be shaped by one country, one company or one region. It will be shaped by those willing to build bridges across systems, combine strengths and work through difficult questions together. For the EU and China, the conversation should continue and AI cooperation between the EU and China should be encouraged — not because it is easy, but because it is necessary. Published in Dawn, August 17th, 2026

  6. Diplomatic17 Aug, 02:32

    AI evolution shifts global competitive landscape

    Artificial intelligence is no longer a future promise. It is becoming part of industrial policy, economic strategy and global governance all at once. For the European Union and China, that means the relationship is not only about trade or technology exchange. It is increasingly about how both sides position themselves in a world where AI is becoming a basic layer of competitiveness. China’s innovation trajectory explains why this matters. In the Global Innovation Index 2025 report released by the World Intellectual Property Organisation, China entered the world’s top 10 for the first time in the global innovation ranking, reflecting strong performance in knowledge and technology outputs, R&D spending and innovation clusters. Its innovation strength is visible not only in the ranking itself, but in the pace at which ideas are translated into industrial use. What makes China especially relevant now is that AI is being treated as a strategic priority, not a stand-alone sector. A three-year plan issued in June aims to accelerate AI integration across the information and communications sector, with targets for more autonomous networks, broader computing-power coverage and expanded AI applications by 2028. That is a clear signal that China sees AI as a tool for upgrading industry, improving productivity and strengthening the country’s long-term competitiveness. For the EU, that should be a reason to stay engaged. China is still a major market, but it is also an innovation ecosystem where new technologies are tested and scaled quickly. More and more European companies are no longer present in China only to sell products. They are there to learn from the speed of development, benchmark their own performance and remain close to where innovation is moving fastest. Breakthrough technologies such as AI and quantum computing are advancing rapidly. At the same time, AI-intensive industries, software companies and pharmaceutical companies continue to raise their research spending. The next wave of innovation is likely to come from actors that keep investing even when the broa­der climate is more cautious. China is already central to that wave. Chinese AI labs are releasing open-weight models that are increasingly competitive with the leading systems of the United States, often at lower cost. That does not settle the AI race, but it does show that leadership is becoming more distributed. The EU cannot shape the future of AI if it remains outside the main centers of development. Governance is the other half of the picture. On July 16, 29 countries signed an agreement in Shanghai to establish the World Artificial Intelligence Cooperation Organisation. The new intergovernmental body is headquartered in Shanghai and is intended to support international cooperation on AI. Its creation shows that it is necessary for China to play a role not only in building AI sys­tems, but also in shaping the rules around them. That should matter to the EU. The EU has a vast market for AI applications, a solid research foundation and experience in setting trust frameworks. China brings scale, speed and industrial depth. Those strengths are different, but they are compatible. On issues such as safety testing, model evaluation, data governance and industrial deployment, there is room for concrete cooperation. The 12th CEIBS Europe Forum in Brussels was a useful reminder of that point. Its theme, “Competition or Complementarity? Strategic Opportunities in EU-China AI Development”, captured the issue well. AI is now a matter of industrial policy, talent, governance and competitiveness, not just algorithms. The EU and China do not need identical political systems or fully aligned policy agendas to work together. They need enough trust to keep channels open, enough curiosity to learn from each other and enough realism to focus on practical questions. How do we test powerful models? How do we ensure data security without blocking research? How do we support innovation while managing risk? These are the questions that will define the next decade. The case for engagement is therefore straightforward. China is now too important to ignore in any serious discussion about the future of AI. The EU, for its part, has to be aware of the fact that its cooperation with China is mutually beneficial if it approaches the relationship with confidence. In a fragmented world, the responsible choice is not separation, but disciplined engagement. Despite rising geopolitical uncertainties, Europe and China can complement each other strongly in terms of markets, industrial capabilities, and innovation ecosystems. China serves as a crucial market and innovation hub for European companies, whose deep engagement in the Chinese market is vital for maintaining their global competitiveness. And AI will not be shaped by one country, one company or one region. It will be shaped by those willing to build bridges across systems, combine strengths and work through difficult questions together. For the EU and China, the conversation should continue and AI cooperation between the EU and China should be encouraged — not because it is easy, but because it is necessary. Published in Dawn, August 17th, 2026

  7. Security18 Aug, 02:00

    China trims US Treasury holdings amid Iran war, Fed uncertainty

    China cut its holdings of US Treasuries to a nearly 18-year low in June, as Beijing continued to diversify its foreign exchange reserves amid heightened geopolitical tensions and growing uncertainty over the policy outlook in the United States. Holdings fell to US$633.4 billion in June from US$659.3 billion in May, data released by the Treasury Department of the United States showed on Monday. The amount in June marked the lowest level since September 2008, when holdings fell to US$618.2 billion...

  8. Humanitarian18 Aug, 23:27

    US urged to follow China’s lead in treating data as an economic asset

    As China deepens the commercialisation of its vast troves of data, the United States needs to develop its own national data strategy that treats data as an economic asset to better position itself to prevail in emerging technologies such as artificial intelligence and robotics, a key US congressional advisory body has said. In a report published on Tuesday, the US-China Economic and Security Review Commission (USCC) warned that the US risks ceding global leadership in setting global data...

  9. Security19 Aug, 01:00

    China-Linked Hacker Shows AI Capabilities in APAC Attack

    In the first purported "near-autonomous" attack on a nation-state, a Chinese-language operator used a complex AI framework to target and compromise government agencies, likely in Taiwan.

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