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When it comes to DeepSeek, this isnota singular breakthrough moment.
Founder, Njordis Group.
This example shows that different engineering and architectural approachesdoexist and may be waiting to be uncovered.
Moreover, the open-source mindset behind DeepSeek challenges the typical approach toLLMsand highlights both the advantagesandthe potential risks.
What is interesting about Sam Altman not making a public appearance and release, his meeting with the U.S.
The government hints at potential risks and consequences.
On the positive side, this can unleash innovations in health and medicine like never before in human history.
In the near future, broader access toAI toolswill probably benefit infrastructure providers and hyperscalers such as AWS.
Meanwhile, Anthropic and OpenAI run closed ecosystems, but DeepSeeks public paper shares many of its core methods.
Trade sanctions wont stop that.
As more engineers come together and keep working, the odds of major breakthroughs increase.
The Battle of Distrust
Globally, the U.S. is losing trust.
The dont trust China narrative is fading in many parts of the world.
Yet new approaches to foundation modelsvia architectural and engineering innovationcan continue to drive progress.
And once we hack biology or chemistry with AI, we may see entirely new levels of breakthroughs.
With multiple compounding effects in play, well likely experience hyper-efficiency and widespread growth.
However, the looming threats are real.
With the U.S. laser-focused on AI, theraceto surpass human-level intelligence is on.
We list the best Large Language Models (LLMs) for coding.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
