This week, we explore the rise of voice-first AI, advancements in AGI benchmarking for software engineering, and the strategies nations must adopt to prepare for superintelligence.

What we're thinking

At Turing, we’re advancing AGI benchmarking for software engineering, refining how models are tested on real-world coding tasks beyond basic evaluations. This week, we’re focusing on:

Algorithmic mastery: Testing AI on dynamic programming, recursion, XOR pattern matching, and tree traversal—core skills in complex engineering problem-solving.
Scalability in code execution: Assessing how LLMs handle data wrangling, constraint satisfaction, and matrix operations, crucial for high-performance computing.
Beyond code generation: Exploring AI’s ability to refactor, debug, and optimize—moving beyond generating raw code toward true engineering autonomy.

By pushing AI to solve practical, real-world coding challenges, we’re identifying critical gaps and moving closer to software engineering automation.

What we're saying

Insights from Turing’s leadership on the latest AGI developments and industry shifts:

The News: Meta is preparing a new LLaMA 4 large language model focused on native voice interaction.

Sam Ho, Product Leader:
"Voice dictation and AI-powered assistants are changing how we work and interact online. Instead of manually typing, structuring, and refining ideas, AI like Meta’s LLaMA 4 allows us to think out loud—converting raw thoughts into clear action plans. More than just productivity, this could redefine digital experiences, replacing static websites with real-time conversational agents that guide users intuitively. The future of AI isn't just responsive—it's fluid, adaptive, and truly interactive."

What we're reading

Superintelligence Strategy
This paper explores national security risks posed by AI, introducing Mutual Assured AI Malfunction (MAIM)—a deterrence model likened to nuclear mutual assured destruction (MAD), where states prevent unilateral AI dominance through countermeasures. The authors outline a three-part strategy of deterrence, nonproliferation, and competitiveness to mitigate catastrophic AI risks while ensuring national resilience.
New Tools for Building AI Agents
OpenAI introduces the Responses API and Agents SDK, making it easier for developers to build reliable, multi-step AI agents. New capabilities include web search, file search, and computer use, enhancing real-world AI interactions in research, commerce, and enterprise automation.
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
This study applies Reinforcement Learning with Verifiable Reward (RLVR) to multimodal AI, enhancing emotion recognition across visual and audio inputs. The model, R1-Omni, outperforms traditional supervised fine-tuning, demonstrating improved reasoning, generalization, and interpretability in human-centric AI.

Where we’ll be

Turing will be at two major AI conferences in the coming months—join us to discuss the future of AGI:

ICLR 2025 [Singapore | Apr 24 – 28]
A top-tier deep learning conference covering representation learning, AI optimization, and theoretical advancements.
MLSys 2025 [Santa Clara, CA | May 12 – 15]
A major event focused on the intersection of machine learning and systems, discussing efficient AI model training, distributed learning, and AI hardware innovations.

If you’re attending, reach out—we’d love to connect and exchange insights!

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