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Maximilian Schreiner

Max is the managing editor of THE DECODER, bringing his background in philosophy to explore questions of consciousness and whether machines truly think or just pretend to.
Read full article about: China actively targeting Taiwan's chip talent and technology, security report says

China is actively trying to poach Taiwan's semiconductor expertise and talent to circumvent international technology restrictions, according to a report from Taiwan's National Security Bureau cited by Reuters.

The report says China is using indirect channels to recruit talent, steal technology, and acquire controlled goods. Taiwan is home to TSMC, the world's largest contract chipmaker and a key supplier to Nvidia and Apple.

In the first quarter of 2026 alone, the report logged more than 170 million attempted cyberattacks on Taiwan's government network. The agency also warns that China could try to influence Taiwan's local elections later this year using deepfakes and fabricated polls.

Read full article about: Bezos' Project Prometheus hires xAI co-founder from OpenAI

Jeff Bezos' startup Project Prometheus has hired Kyle Kosic, a co-founder of Elon Musk's xAI who most recently worked at OpenAI, the Financial Times reports. Kosic led the infrastructure behind xAI's Colossus supercomputer and will continue working on AI infrastructure at Prometheus.

The startup, led by Bezos and former Google executive Vikram Bajaj, is building AI systems designed to understand the physical world with a focus on tasks in areas like engine design and engineering. Prometheus has already hired hundreds of employees across San Francisco, London, and Zurich. According to the FT, Bezos and Bajaj are looking to raise tens of billions of dollars for a permanent investment vehicle that would acquire stakes in companies across industries like aerospace and architecture.

Comment Source: FT
Read full article about: OpenAI, Anthropic, and Google team up against unauthorized Chinese model copying

OpenAI, Anthropic, and Google have started working together to combat the unauthorized copying of their AI models by Chinese competitors, according to Bloomberg. The three companies are sharing information through the "Frontier Model Forum," founded in 2023, to detect so-called adversarial distillation. In distillation, the outputs of an existing AI model are used to train a cheaper copycat model. One of the first examples was Stanford's Alpaca model, which demonstrated the feasibility of the approach, but the practice has since become a real problem for US companies.

US authorities estimate that adversarial distillation costs American AI labs billions of dollars in lost revenue each year, Bloomberg reports. OpenAI had already warned Congress in February that Deepseek was using increasingly sophisticated methods to extract data from US models. Anthropic identified Deepseek, Moonshot, and Minimax as actors involved in the practice. The collaboration mirrors how the cybersecurity industry operates, where companies routinely share attack data with each other.

Read full article about: Meta plans to open-source parts of its new AI models

Meta is planning to release versions of its new AI models as open source, according to Axios. These would be the first models developed under the leadership of Alexandr Wang, who joined Meta in 2025 as part of a nearly $15 billion deal with Scale AI.

Unlike its approach with the Llama models, though, Meta plans to keep some components proprietary and review safety risks before releasing anything. The largest models won't be made publicly available either.

According to the report, Wang sees Meta as a counterweight to Anthropic and OpenAI, which focus more heavily on government and enterprise customers. Meta's strategy instead centers on consumer reach through WhatsApp, Facebook, and Instagram. Axios's sources say Meta already knows the new models won't match the competition in every area.

Read full article about: Anthropic signs multi-gigawatt TPU deal with Google and Broadcom

Anthropic has signed a deal with Google and Broadcom for multiple gigawatts of TPU computing capacity, set to come online starting in 2027. Most of the infrastructure will be built in the United States. The company points to surging demand as the reason for the expansion: its annualized revenue rate now exceeds $30 billion, up from roughly $9 billion at the end of 2025. The number of enterprise customers generating more than $1 million in annual revenue has doubled since February, surpassing 1,000.

Anthropic trains Claude on a mix of hardware: Amazon's AWS Trainium, Google's TPUs, and Nvidia's GPUs. This makes Claude the only one of the three major AI models available across all three major cloud platforms (AWS, Google Cloud, and Microsoft Azure). That said, Anthropic notes that Amazon remains its most important cloud partner.

Read full article about: Alibaba launches Qwen3.6-Plus, its third proprietary AI model in days

Alibaba has released Qwen3.6-Plus, its third proprietary AI model in just a few days. The model is available through the Alibaba Cloud Model Studio API and offers a context window of one million tokens. According to the Qwen team, the focus is on significantly improved capabilities for agentic coding, including frontend development and complex code tasks.

In benchmarks published by Alibaba, the model partially outperforms Anthropic's older flagship model Claude 4.5 Opus, which was replaced by the stronger 4.6 Opus in December 2025. It's worth noting that some of these measurements were conducted by Alibaba itself.

Das neue Qwen3.6-Plus übertrifft das ältere 3.5-Modell und in einigen Fällen auch Opus. Allerdings erreicht das im Dezember 2025 veröffentlichte Opus 4.6 etwa im Terminal-Bench 2.0 65,4 Prozent und liegt damit vor Qwen3.6-Plus. | Bild: Alibaba
Qwen3.6-Plus outperforms the older 3.5 model and in some cases beats Opus. However, the Opus 4.6 released in December 2025 scores 65.4 percent on Terminal-Bench 2.0, putting it ahead of Qwen3.6-Plus. | Image: Alibaba

For a long time, Alibaba released its Qwen models as open source, but the company has recently changed course. The latest Qwen3.5-Omni is also not freely available. Alibaba wants to drive more revenue from enterprise customers with its proprietary models, as its cloud division faces intense competition from ByteDance.

According to Bloomberg, Alibaba is targeting $100 billion in AI revenue over the next five years. Qwen3.6-Plus will be integrated into the Qwen chatbot app and the company's new enterprise AI service Wukong.

Comment Source: Qwen
Read full article about: Chinese chipmakers now control 41 percent of China's AI accelerator market

Chinese chipmakers captured nearly 41 percent of China's AI accelerator server market in 2025, according to an IDC report seen by Reuters. IDC is a global market research firm specializing in the technology industry.

Nvidia remains the market leader with roughly 2.2 million cards shipped and a 55 percent market share, but the company is losing ground fast. In total, about 4 million AI accelerator cards were shipped in China, according to the report.

Chinese vendors shipped a combined 1.65 million cards. Huawei leads the domestic pack with about 812,000 chips, followed by Alibaba's chip unit T-Head at 265,000 cards. Baidu Kunlunxin and Cambricon are tied at 116,000 units each. AMD held just 4 percent of the market.

The shift is driven by tightened US export controls and Beijing's push for companies to rely more heavily on domestic chips.