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  • Marty Coombe
  • geongangae
  • Issues
  • #1

Closed
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Created Feb 04, 2025 by Marty Coombe@martycoombe40Maintainer

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There's no doubt about it, R1 is a Really. Big. Deal. There's a great deal of buzz in the AI company, as is the way with many new innovations. But occasionally a beginner gets here which really does have an authentic claim as a significant disruptive force. DeepSeek R1 is such a creature (you can access the model on your own here).

As reported by CNBC, DeepSeek app has actually currently gone beyond ChatGPT as the top totally free app in Apple's App Store. And numerous tech giants have actually seen their stocks take a significant hit. This includes Nvidia, which is down 13% today.

On the face of it, it's just a new Chinese AI model, and there's no lack of these launching each week. But there are 2 essential things which make DeepSeek R1 different.

- What is DeepSeek? - whatever to know - DeepSeek's Janus Pro AI image generator is here to handle Midjourney and DALL-E

First, people are talking about it as having the same performance as OpenAI's o1 model. To recap, o1 is the present world leader in AI models, because of its ability to factor before offering a response. This makes it extremely powerful for more complex tasks, which AI usually has problem with.

The fact that a beginner has jumped into contention with the market leader in one go is astonishing.

Second, not just is this new design delivering almost the very same performance as the o1 design, however it's also open source. This implies that any AI scientist or engineer across the world can work to enhance and fine tune it for various applications.

That's a breakthrough in terms of the possible speed of development we're most likely to see in AI over the coming months. This is no longer a scenario where one or 2 companies manage the AI space, now there's a big international community which can contribute to the progress of these amazing new tools.

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To rub salt in the wound, the DeepSeek household of models was trained and established in simply two months for a paltry $5.6 million. This compares to the billion dollar development expenses of the major incumbents like OpenAI and Anthropic.

To say it's a slap in the face to these tech giants is an understatement. The Chinese hedge fund owners of DeepSeek, High-Flyer, have a performance history in AI development, so it's not a total surprise. What is a surprise is for them to have actually created something from scratch so quickly and inexpensively, and without the advantage of access to cutting-edge western computing technology.

Obviously ranking well on a criteria is one thing, however the majority of people now search for genuine world evidence of how designs carry out on a day-to-day basis. Early reports suggest that the DeepSeek benchmarks aren't lying, with a variety of users adopting it for AI programming in preference over Anthropic's Claude Sonnet 3.5.

Surprisingly the R1 model even appears to move the goalposts on more creative pursuits. One Reddit user published a sample of some imaginative writing produced by the design, which is shockingly good.

Early days for DeepSeek

My own screening suggests that DeepSeek is likewise going to be popular for those wanting to use it locally on their own computer systems. In three little, admittedly unscientific, tests I finished with the model I was bowled over by how well it did.

In one test I asked the design to help me locate a non-profit fundraising platform name I was trying to find. A standard Google search, OpenAI and Gemini all stopped working to give me anywhere near the best response. DeepSeek hit it in one go, which was incredible.

We are living in a timeline where a non-US company is keeping the original mission of OpenAI alive - truly open, frontier research that empowers all. It makes no sense. The most entertaining result is the most likely.DeepSeek-R1 not only open-sources a barrage of models however ... pic.twitter.com/M7eZnEmCOYJanuary 20, 2025

It's early days to pass last judgment on this brand-new AI paradigm, but the outcomes so far appear to be incredibly appealing. One thing I did notification, is the reality that triggering and the system prompt are very crucial when running the design locally.

Without a great prompt the results are definitely average, or a minimum of no genuine advance over existing regional models. But when it gets it right, my goodness the sparks certainly do fly.

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Nigel Powell is an author, columnist, and addsub.wiki expert with over 30 years of experience in the innovation market. He produced the weekly Don't Panic innovation column in the Sunday Times paper for 16 years and is the author of the Sunday Times book of Computer Answers, published by Harper Collins. He has been an innovation pundit on Sky Television's Global Village program and a regular factor to BBC Radio 5's Men's Hour.

He has an Honours degree in law (LLB) and a Master's Degree in Business Administration (MBA), and his work has made him a professional in all things software, AI, security, personal privacy, mobile, and other tech developments. Nigel presently resides in West London and enjoys spending quality time practicing meditation and scientific-programs.science listening to music.

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