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There's no doubt about it, DeepSeek R1 is a Very. Big. Deal. There's a lot of hype in the AI organization, as is the way with most new innovations. But periodically a newbie arrives which really does have a real 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 already surpassed ChatGPT as the top totally free app in Apple's App Store. And a number of tech giants have seen their stocks take a major hit. This includes Nvidia, which is down 13% today.


On the face of it, it's just a new Chinese AI design, and there's no shortage of these releasing each week. But there are two key things that make DeepSeek R1 various.


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


First, people are talking about it as having the exact same efficiency as OpenAI's o1 model. To recap, o1 is the current world leader in AI models, because of its capability to reason before providing an answer. This makes it incredibly powerful for more complex jobs, which AI typically deals with.


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


Second, not only is this new design delivering almost the exact same efficiency as the o1 design, however it's likewise open source. This indicates that any AI researcher or engineer across the world can work to improve and fine tune it for various applications.


That's a radical change in regards to the prospective speed of advancement we're most likely to see in AI over the coming months. This is no longer a scenario where one or 2 business control the AI space, now there's a huge international neighborhood which can contribute to the development of these amazing brand-new tools.


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To rub salt in the wound, the DeepSeek family of models was trained and developed in simply two months for a paltry $5.6 million. This compares to the billion dollar advancement costs 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 track record in AI development, so it's not a complete surprise. What is a surprise is for them to have developed something from scratch so rapidly and inexpensively, and without the benefit of access to state of the art western computing innovation.


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


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


Early days for DeepSeek


My own testing suggests that DeepSeek is likewise going to be popular for those wanting to use it in your area on their own computers. In 3 small, undoubtedly unscientific, suvenir51.ru tests I did with the model I was bowled over by how well it did.


In one test I asked the model to help me track down a non-profit fundraising platform name I was looking for. A search, OpenAI and Gemini all failed to provide me anywhere near the best answer. DeepSeek struck it in one go, which was shocking.


We are residing in a timeline where a non-US company is keeping the initial objective of OpenAI alive - genuinely open, frontier research that empowers all. It makes no sense. The most amusing result is the most likely.DeepSeek-R1 not just open-sources a barrage of models but ... pic.twitter.com/M7eZnEmCOYJanuary 20, 2025


It's early days to pass final judgment on this brand-new AI paradigm, but the results so far appear to be extremely promising. One thing I did notification, is the reality that triggering and the system timely are extremely important when running the model locally.


Without an excellent prompt the results are absolutely mediocre, or a minimum of no genuine advance over existing local models. But when it gets it right, bphomesteading.com my goodness the sparks absolutely do fly.


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Nigel Powell is an author, columnist, and specialist 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 a technology expert on Sky Television's Global Village program and a routine 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 an expert in all things software, AI, security, privacy, mobile, and other tech innovations. Nigel presently lives in West London and delights in hanging out meditating and listening to music.


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