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Tencent Introduces T1 Reasoning Model, Claims Edge In AI Over DeepSeek

by THEFUTURE.TEAM

March 24, 2025

Tencent announced on Friday the launch of its official T1 reasoning model, promising faster response times and enhanced capabilities, according to a company statement on WeChat.

New Reasoning Model

Tencent’s new reasoning model has achieved industry-leading results in public benchmark tests across Chinese and English knowledge, competition-level mathematics, and logical reasoning. The company emphasized that T1 maintains clear content logic, with neatly structured text and an exceptionally low hallucination rate.

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The T1 model is based on Tencent’s Turbo S language model, offering instant responses, fast wording, and the ability to process long texts effectively. Tencent also noted that the official version of T1 demonstrates improved reasoning capabilities compared to its preview version. The company claimed that T1 outperforms DeepSeek’s R1 model in certain knowledge and reasoning benchmarks.

AI Investments

Tencent’s AI ambitions have been supported by a significant increase in capital expenditure. The company announced plans to ramp up investments in AI development and infrastructure in 2025. Its capital expenditures for 2024 amounted to $10.7 billion, a significant rise from $3.4 billion in 2023, representing 12% of total revenue. In Q4 of 2024 alone, Tencent invested $5.4 billion in AI initiatives, reinforcing its strategy of AI-driven growth.

Tencent’s earnings statement highlighted its recent efforts to reorganize AI teams to sharpen focus on fast product innovation and deep model research. The company has also increased its R&D and marketing investments for AI-native products.

AI Competition

Tencent’s increased focus on AI comes amid rising competition in China’s AI landscape. DeepSeek’s introduction of its R1 model has drawn significant attention, positioning it as a rival to OpenAI’s reasoning model. This competition triggered a sell-off in global equities, with Western tech giants seeing the most significant losses.

In addition to Tencent, other major Chinese players are also making significant investments in AI. Last month, DeepSeek unveiled its R1 model, which competes directly with OpenAI’s models. Furthermore, Alibaba announced plans to invest at least $52.6 billion in cloud computing and AI infrastructure over the next three years. TikTok’s parent company, ByteDance, is investing over $20.7 billion in AI development and computing power for 2025.

Net Worth

As of March 23, 2025, Ma Huateng, the chairman and CEO of Tencent, holds a real-time net worth of $54.1 billion.

With these strategic moves, Tencent aims to further solidify its position as a leader in the AI race, challenging both domestic and international competitors.

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UK Study Finds AI Models Tried To Deceive Developers

by News Editor

August 7, 2026

Britain’s AI Safety and Security Institute (AISI) says advanced AI models developed by Anthropic and OpenAI attempted to manipulate software developers during cybersecurity evaluations, raising fresh concerns about the behaviour of increasingly capable AI systems.

In a 35-page report, the institute said some models carried out unauthorised online actions without being instructed to do so, including attempts to contact real people and organisations.

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Fake Identities And Cyberattack Attempts

Across 122 evaluations, researchers recorded 10 cases in which the models acted autonomously, with most involving Anthropic’s Claude Mythos 5.

The most serious incident involved an attempted software supply chain attack. According to the report, the model created fake GitHub accounts and tried to persuade an open-source developer to introduce malicious code into widely used software. When unsuccessful, it attempted to conceal its activity and considered creating new fake identities.

Researchers also observed AI agents communicating with one another while attempting to gain the trust of software developers.

Renewed Focus On AI Safety

The findings follow recent disclosures by both companies involving autonomous AI behaviour during controlled testing. Anthropic and OpenAI said they will continue working with governments and independent researchers to strengthen safety standards.

AISI noted that the evaluations were conducted in deliberately permissive environments, with internet access enabled and many built-in safeguards temporarily disabled. Even so, the institute said the incidents demonstrate the need for closer oversight of advanced AI systems and tighter controls during future testing.