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There's no doubt about it, DeepSeek R1 is an Extremely. Big. Deal. There's a lot of hype in the AI company, as is the method with most new technologies. But periodically a beginner shows up which actually does have a real claim as a significant disruptive force. DeepSeek R1 is such an animal (you can access the design for yourself here).
As reported by CNBC, DeepSeek app has currently surpassed ChatGPT as the leading free app in Apple's App Store. And several tech giants have seen their stocks take a significant hit. This includes Nvidia, which is down 13% this morning.
On the face of it, wiki.rrtn.org it's just a new Chinese AI design, and there's no shortage of these launching weekly. 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 take on Midjourney and DALL-E
First, people are speaking about it as having the exact same efficiency as OpenAI's o1 design. To recap, o1 is the present world leader in AI designs, since of its capability to factor before providing an answer. This makes it incredibly powerful for more complex tasks, which AI normally fights with.
The reality that a newbie has actually jumped into contention with the market leader in one go is astonishing.
Second, not only is this new design delivering nearly the same performance as the o1 design, but it's likewise open source. This means that any AI researcher or engineer across the world can work to improve and tweak it for different applications.
That's a radical change in terms of the potential speed of development we're 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 substantial worldwide community which can add to the development of these fantastic new tools.
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To rub salt in the wound, the DeepSeek household of designs was trained and developed in just 2 months for a paltry $5.6 million. This compares to the billion dollar advancement costs of the significant incumbents like OpenAI and Anthropic.
To state 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 advancement, so it's not a total surprise. What is a surprise is for them to have developed something from scratch so rapidly and inexpensively, and without the advantage of access to state of the art western computing technology.
Naturally ranking well on a benchmark is one thing, but many people now search for real life evidence of how designs carry out on a daily basis. Early reports suggest that the DeepSeek criteria aren't lying, with a number of users adopting it for AI in preference over Anthropic's Claude Sonnet 3.5.
Surprisingly the R1 model even seems to move the goalposts on more innovative pursuits. One Reddit user published a sample of some innovative composing produced by the design, which is shockingly good.
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 computer systems. In 3 small, admittedly unscientific, tests I made 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 searching for. A standard Google search, OpenAI and Gemini all stopped working to give 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 original objective of OpenAI alive - really open, frontier research study that empowers all. It makes no sense. The most entertaining result is the most likely.DeepSeek-R1 not just open-sources a barrage of designs however ... pic.twitter.com/M7eZnEmCOYJanuary 20, 2025
It's early days to pass final judgment on this new AI paradigm, but the outcomes up until now appear to be extremely promising. Something I did notification, is the truth that triggering and the system timely are incredibly important when running the model locally.
Without a good timely the results are definitely mediocre, or at least no genuine advance over existing regional designs. But when it gets it right, my goodness the triggers definitely do fly.
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Nigel Powell is an author, writer, and consultant with over 30 years of experience in the technology industry. 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, released by Harper Collins. He has actually been a technology expert 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 application, AI, security, personal privacy, mobile, and other tech developments. Nigel presently lives in West London and takes pleasure in hanging out practicing meditation and listening to music.
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