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Its a sudden leap along an expected trajectory rather than a disruptive paradigm shift.
DeepSeeks impressive achievement mirrors the broader historical pattern of technological progression.
In the early 1990s, high-end computer graphics rendering required supercomputers; now, its done onsmartphones.
Face recognition, once an expensive niche app, is now a commodity feature.
The same principle applies to large language models (LLMs).
The surprise isnt the nature of the advance, its the speed.
For those paying attention to exponential technological growth, this isnt shocking.
As we approach the Singularity, breakthroughs will seem increasingly rapid.
DeepSeek is just one of many moments in this unfolding megatrend.
CEO of the Artificial Superintelligence Alliance.
This means it requires just 1/18th of the compute power of traditional LLMs.
Reinforcement learning for reasoning:Instead of manual engineering, DeepSeeks R1 model improves chain-of-thought reasoning via reinforcement learning.
Multi-token training:DeepSeek-V3 can predict multiple pieces of text at once, increasing training efficiency.
This isnt a trivial featits a major step toward making high-quality LLMs more accessible.
But again, its a stellar engineering refinement, not a conceptual leap toward AGI.
The well-known power of open-source
One of DeepSeeks biggest moves is making its modelopen-source.
Open-source AI fosters rapid innovation, broader adoption, and collective improvement.
OpenAI and Anthropic are struggling with balancing research and monetization.
It also gives the global AI community a competitive toolset, reducing the grip of American Big Tech hegemony.
Im not so surprised.
This isnt the first time China has taken a Western innovation and rapidly optimized it for efficiency and scale.
Beneficial AGI is far more likely to emerge from opencollaborationthan from nationalistic silos.
But now more than ever, we really need to take a step back and consider the bigger picture.
If AGI emerges within the next decade, its unlikely to be purely transformer-based.
Alternative architectureslike OpenCog Hyperon and neuromorphic computingmay prove more fundamental to achieving true general intelligence.
As costs drop, investors may begin looking toward the next frontier of AI innovation.
Its a sudden acceleration along a predictable curve, not a paradigm shift.
It makes high-quality AI more accessible and affordable.
It signals Chinas growing presence in cutting-edge AI development.
It reinforces the inevitability of exponential progress in AI.
Most importantly, DeepSeeks success should serve as a reminder that AGI development isnt just about scaling up transformers.
DeepSeek is not AGI, but its an exciting step in the broader dance toward a transformative AI future.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
