AGI Breakthrough by 2027😱

By 2027, AI will evolve into superintelligence, reshaping industries. Huawei challenges Nvidia with the Ascend 920 chip, while ElevenLabs enhances AI with seamless agent transfers.

By 2027, AI will surpass its current capabilities, evolving from advanced assistants to superintelligences capable of self-improvement. According to the AI 2027 scenario, these rapid advancements will reshape entire industries and job markets. With exponential growth, AI will automate its own research, triggering massive transformations that rival the Industrial Revolution. The global race for AI leadership, particularly between the US and China, will intensify, pushing the boundaries of innovation and the need for aligning AI with human values.

In response to US export bans on Nvidia's top AI chips, Huawei has launched the Ascend 920. Built on SMIC’s 6nm process, this chip delivers over 900 TFLOPs of compute performance, positioning Huawei as a formidable domestic alternative in China’s AI market. With capabilities that rival Nvidia’s H20, the Ascend 920 promises to be a game-changer, ensuring China’s competitiveness in the global AI arms race.

ElevenLabs’ new Agent-to-Agent Transfer feature revolutionizes how conversational AI operates. It allows AI agents to transfer conversations seamlessly between specialists, ensuring users are always routed to the right expert. This feature enhances scalability and user experience by preserving context across transfers, making it ideal for complex, multi-agent workflows in real-time environments. With this innovation, ElevenLabs sets the stage for a future of smarter, more efficient AI-driven customer interactions.

Achieving Superhuman AI by 2027

A major new scenario from leading AI researchers predicts that the impact of superhuman artificial intelligence over the next decade will be enormous, likely exceeding the transformative effects of the Industrial Revolution. Drawing on trend extrapolations, expert feedback, wargames, and direct experience from OpenAI and other frontier labs, the "AI 2027" scenario forecasts that by 2027, AI will progress from being advanced assistants to achieving superintelligence, with capabilities advancing exponentially rather than linearly. The scenario anticipates key milestones such as AI automating its own research, rapidly improving itself, and reshaping entire industries and job markets. It highlights the intensifying geopolitical race—especially between the US and China—over AI leadership, and warns that the challenges of aligning AI with human values will become urgent and practical. The authors present both "slowdown" and "race" outcomes, emphasizing that their goal is predictive accuracy rather than advocacy, and calling for broad debate and preparation as society approaches the threshold of Artificial General Intelligence (AGI) and potentially Artificial Superintelligence (ASI) within just a few years.

Huawei Unveils Ascend 920 AI Chip to Replace Nvidia H20

Huawei Ascend AI chip

Huawei has introduced the Ascend 920 AI chip as a direct response to the US export ban on Nvidia's H20, aiming to fill the gap left in the Chinese market. Announced just one day after the ban extension, the Ascend 920 is built on SMIC’s 6nm process and is expected to deliver over 900 TFLOPs of compute performance per card and 4 TB/s memory bandwidth using HBM3 modules—figures comparable to or exceeding the Nvidia H20. The chip’s 920C variant is optimized for Transformer and Mixture of Experts models, offering 30–40% better efficiency than its predecessor, the Ascend 910C. Mass production is slated for the second half of 2025. This launch positions Huawei as a strong domestic alternative for Chinese companies, especially as US sanctions restrict access to leading US-made AI hardware, and is expected to significantly boost Huawei’s share in China’s AI accelerator market.

ElevenLabs Introduces Agent-to-Agent Transfers

ElevenLabs released Agent-to-Agent Transfers, enabling Conversational AI agents to seamlessly transfer ongoing conversations to other specialized agents based on defined conditions, supporting sophisticated multi-layer workflows. This feature allows different teams to develop agents with distinct expertise—such as billing, technical support, or hardware assistance—and dynamically route users to the most appropriate agent during a conversation. Transfers can be nested, preserving conversation context and state across handoffs. Configured via the transfer_to_agent system tool, the transfer rules specify target agents and natural language conditions for when transfers occur. This capability enhances scalability, specialization, and user experience by ensuring conversations are handled by the right expert agent. ElevenLabs provides both API and UI support for easy configuration, and the feature is already being adopted for real-time call forwarding and complex escalation scenarios in production environments as of April 2025.

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