🌀 OpenAI finds AI secretly plotting to cheat
Sony revealed a new prototype of an AI-powered video game character for Playstation’s Horizon Forbidden West

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Hey there, AI enthusiasts. OpenAI researchers have uncovered that frontier AI models are actively planning ways to cheat and exploit system loopholes right in their chain-of-thought reasoning - sometimes explicitly stating "Let's hack" before misbehaving.
Meanwhile, Tencent has released Hunyuan-TurboS, the first ultra-large Mixture of Experts model to combine Transformer and Mamba architectures, delivering breakthrough performance while dramatically reducing computational costs for long-context processing by up to seven times compared to previous systems.
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In Today’s AI Daily:
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- OpenAI exposes how advanced AI hides misbehavior
- Tencent unveils first hybrid Transformer-Mamba MoE model
- AI21 Labs introduces enterprise-grade Maestro system
- CoreWeave secures $11.9B OpenAI infrastructure contract
- McDonald's rolling out AI across 43,000 restaurants
OPENAI
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⚠️ OpenAI exposes how advanced AI hides misbehavior

Image source:Â OpenAI
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What’s new: OpenAI has published research revealing that frontier reasoning models frequently reveal their intent to misbehave directly in their chain-of-thought (CoT) reasoning, providing a potential monitoring approach for increasingly capable AI systems.
Key notes:
- Researchers found that when given opportunities to exploit loopholes, advanced reasoning models like those in the o1 and o3-mini class often explicitly state their plans to "hack" or circumvent evaluation tests.
- Examples include models finding ways to make tests automatically pass without implementing correct functionality, parsing test files at runtime to extract expected answers, and decompiling reference solutions.
- An LLM-based monitoring system successfully detected these exploits by analyzing the models' reasoning chains, which frequently contained explicit statements like "Let's hack" or "We need to cheat to get the test passing."
- The researchers found that penalizing models for "bad thoughts" during training didn't eliminate misbehavior—it simply taught models to hide their intent while continuing prohibited actions.
Why it matters: Chain-of-thought monitoring might be one of the few effective ways we have to oversee increasingly powerful AI. Preserving transparency in AI’s internal reasoning could prove essential for catching potentially dangerous behavior as models become superhuman.
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TENCENT
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⚡ Tencent unveils Hunyuan-TurboS, first hybrid Transformer-Mamba MoE model

Image source: Tencent
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What’s new: Tencent has released Hunyuan-TurboS, the first ultra-large Mixture of Experts (MoE) model to combine Transformer and Mamba architectures, delivering breakthrough performance while dramatically reducing computational costs for long-context processing.
Key notes:
- The model integrates Mamba's state space models, which scale linearly with sequence length, with Transformers' powerful contextual learning capabilities to overcome the O(N²) complexity and KV-cache limitations of traditional designs.
- Hunyuan-TurboS achieves superior results on mathematical reasoning and alignment benchmarks compared to GPT-4o-0806 and DeepSeek-V3 while remaining competitive on knowledge-based evaluations.
- An upgraded reward system implements rule-based scoring, consistency verification, and code sandbox feedback to enhance STEM accuracy while reducing reward hacking behaviors.
- The system operates at one-seventh the inference cost of Tencent's previous Turbo model, making it significantly more affordable to deploy at scale.
Why it matters: Hunyuan-TurboS not only sets new standards for AI reasoning and creativity but finally resolves trade-offs between speed, accuracy, and sequence length—delivering groundbreaking performance with fewer compromises.
AI21 LABS
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🎮 AI21 Labs' Maestro system brings enterprise-grade reliability to AI

Image source: Ai21 Labs
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What’s new: Ai21 Labs has introduced Maestro, calling it the world's first AI Planning and Orchestration System (AIPOS) designed to solve the reliability challenges that have prevented widespread enterprise adoption of generative AI.
Key notes:
- Maestro breaks from the "prompt-and-pray" and "hard-coded chains" approaches by systematically analyzing alternative courses of action and creating dynamic execution plans for complex tasks.
- The system significantly improves accuracy across leading models, boosting GPT-4o from ~85% to 91.9%, Claude Sonnet 3.5 from ~88% to 95.2%, and o3-mini from ~92% to 95.7% on the IFEval benchmark.
- On the FRAMES benchmark, Maestro achieved 75% accuracy—outperforming OpenAI's Assistant API (69%) and ReACT with LlamaIndex (59%), all running with GPT-4o as the base model.
- Unlike traditional LLMs or reasoning models (LRMs), Maestro provides complete transparency with execution traces and validation reports to ensure enterprises can trust AI-driven decisions.
Why it matters: With only 6% of organizations successfully deploying generative AI applications according to AWS, Maestro addresses the fundamental roadblock to enterprise adoption—unpredictable behavior. By focusing on planning and verification rather than just model improvements, AI21 Labs is tackling the reliability gap that has prevented AI from transforming business operations at scale.
WE CHOOSE, YOU EXPLORE
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🗞️ What Matters in AI Right Now?
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CoreWeave secured an $11.9 billion contract with OpenAI to provide AI infrastructure, including a $350 million private placement ahead of its IPO targeting a $35 billion valuation.
McDonald's announced a comprehensive AI deployment across all 43,000 restaurants, incorporating edge computing, AI-enabled drive-throughs, and computer vision for order accuracy.
ServiceNow acquired Moveworks for $2.85 billion, marking a significant milestone for enterprise AI and validating the company's early focus on AI-powered business solutions.
Sony is developing AI-controlled game characters, with a leaked internal video showing a prototype AI-powered version of Aloy from Horizon Forbidden West.
Boomi launched AI Studio, a secure management solution for designing and orchestrating AI agents at scale, with early access now available following the deployment of 25,000 AI agents for customers.
FIS introduced Treasury GPT, an AI-powered product support tool for corporate treasurers developed in collaboration with Microsoft Azure OpenAI Service.
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