Reasoning models like Deep Seek R1 aren't like the AI models most people are used to. These are specialized systems designed to process information differently, solving problems in a deliberate and logical way instead of rushing to generate a response. They take the time to think through complex tasks.

This is made possible by a technique called Chain of Thought reasoning, similar to what we could have seen in OpenAI's GPT-1 preview model. It's a method that allows AI to break down complicated queries into smaller, more manageable steps, ensuring greater accuracy and reliability. This capability has become

increasingly important as AI systems are being used for tasks that demand precision, like solving math problems or tackling logic-based queries. Now OpenAI made headlines in September 2024 with its GPT-1 model, which was designed with Chain of Thought reasoning at its core.

It quickly became the benchmark for reasoning models thanks to its ability to handle tasks that traditional large language models struggled with. But now Deep Seek has stepped into the spotlight with R1, a light preview, claiming its model can rival and even outperform GPT-1 in specific areas, and this isn't just talk.

Deep Seek has released performance metrics showing that their model outshines GPT-1 on two critical benchmarks: AMY and Math. AMY evaluates how well AI systems can reason through real-world scenarios, while Math focuses on solving intricate word problems. These aren't just numbers on a chart; they're a

direct measure of how effective an AI model is at reasoning and problem solving. Now Deep Seek's model also demonstrated its ability to handle tricky, unconventional questions that have stumped other AI systems, questions like: How many letter Rs are in the word 'strawberry,' or which is larger, 9.11 or

9.9 may seem simple at first glance, but they require a level of precision that many models lack. R1 light preview handled these with ease, outperforming even advanced systems like GPT-4 and Anthropic's Claude family of models. One of the standout features of DeepSeek R1 is

its transparency. It doesn't just provide an answer; it shows you the reasoning behind it. Every step is laid out for the user to see, making the process more understandable and trustworthy. Essentially, it's like watching a skilled problem solver walk you through their thought process, explaining each decision as they

go. That's what DeepSeek R1 offers, and it's a feature that sets it apart from other AI systems. However, no system is perfect. Users have noted that it struggles with certain types of logic problems, like playing Tic-Tac-Toe. Interestingly, OpenAI's GPT-3 faces similar

challenges in this area, which highlights a broader limitation in current reasoning models. Another issue, though not a deal breaker for everyone, is the model's susceptibility to jailbreaking. Despite having safeguards in place to prevent misuse, some users have found ways to bypass these restrictions. For

example, one person managed to prompt the model into generating a recipe for methamphetamine, a serious ethical concern that underscores the importance of robust security measures in AI systems. DeepSeek R1's handling of politically sensitive topics is another area that has drawn attention. Since the

model was developed in China, it adheres to the country's strict regulations on AI. When asked about controversial issues like the Tiananmen Square protests, Chinese President Xi Jinping's policies, or China's potential actions regarding Taiwan, the model simply responds with, 'Not sure how'

To approach this type of question, this isn't surprising given China's requirement for AI systems to align with core socialist values. While this approach ensures compliance with local laws, it limits the model's applicability in global contexts where such restrictions might not be acceptable.

Despite these challenges, the achievements behind R1 Light Preview are impressive. Deep Seek isn't just a small startup with big dreams; it's backed by serious financial and technological resources. High Flyer Capital Management, the hedge fund supporting Deep Seek, has invested heavily in its AI

infrastructure. Their latest server cluster, equipped with 10,000 Nvidia A100 GPUs, reportedly cost around $38 million to set up. This level of investment speaks volumes about the company's commitment to advancing AI technology. The young Wen Fun, the computer science

graduate who founded Deep Seek, has made it clear that the goal is to push AI towards superintelligence. R1 Light Preview is a major step in that direction. Right now, the model is available for public testing through Deep Seek Chat on the company's website. Users can access it for free, but there's

a limit of 50 messages per day for non-paying users. Deep Seek also plans to release an API, which will make it easier for developers to integrate the model into their own applications. This aligns with the company's commitment to open-source development. Previous models like Deep Seek v2.5 were praised for

their advanced capabilities and accessibility, forcing competitors like ByteDance, BYU, and Alibaba to rethink their pricing strategies. By making its technology more accessible, Deep Seek is positioning itself as a leader in the open-source AI community. This shift toward reasoning models like R1 Light

preview and open AI 01 is part of a broader trend in AI development for years the dominant approach was to improve AI systems by throwing more data and computing power at them a strategy known as scaling laws while this approach has delivered impressive results it's becoming clear that it has

limits researchers are now exploring new techniques like test time compute which gives models extra processing time to refine their answers this method underpins both 01 and R1 light preview and represents a significant shift in how AI is developed Microsoft CEO Satya

Nadella recently described this as the emergence of a new scaling paradigm emphasizing its importance for the future of AI while deep seek is making headlines Google for instance recently updated its Gemini chatbot with a memory function that allows it to

remember user preferences and tailor responses accordingly this feature is only available to subscribers of Google 1 AI premium which cost $20 per month by comparison open AI made chat GPT's memory functionality free for all users back in September making it far more accessible Gemini's memory function can

store details like a user's favorite foods or specific interests making future interactions more personalized users can even instruct the chatbot on what to remember by using phrases like don't forget or always mention while this adds a layer of convenience it also raises concerns about data privacy

Google has assured users that stored data won't be used to train its AI models but skepticism remains particularly given the broader debates around data security in AI systems what's even more interesting is the claim that AI could achieve near infinite memory by 2025 which sounds

almost unbelievable Microsoft AI CEO Mustafa Suleyman made this bold prediction explaining how this breakthrough could completely redefine our relationship with technology with near infinite memory AI wouldn't forget past conversations instead it would build on them creating interactions that feel natural and continuously evolving Suliman called this a major turning

point for AI one where it could fully step into its role as a co-pilot in our lives His vision for Microsoft's AI co-pilot project is to create systems that go beyond simply answering questions These AI co-pilots could act as advisers, teachers, or even companions

offering personalized guidance for everything from learning to managing your health And it's not just about memory Suleyman highlighted advancements in real-time audio generation with models like Notebook LM which can produce conversations so seamless they feel almost human Pair this with memory and emotional understanding, an AI could

eliminate the need for explicit instructions like typing or clicking buttons, transforming how we interact with machines entirely The developments from DeepMind, OpenAI, Google, and now Microsoft are painting a picture of an AI-driven world that's increasingly interactive, personalized, and intelligent With DeepMind's commitment to reasoning

Google's push for personalization through memory, and Microsoft's vision of AI co-pilots with near infinite memory, the trajectory of AI development is shifting toward a more intuitive, human-centric approach These systems are becoming partners in learning, problem-solving, and everyday decision-making

All right, let me know what you think in the comments And if you enjoyed this, make sure to like and subscribe for more AI updates Thanks for watching and see you in the next one

This New AI Model Is Genius - DESTROYS OpenAI o1 in REASONING

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AI Revolution

Deep Seek R1은 신중하고 논리적인 정보 처리를 위해 설계된 전문 AI 모델입니다.

생각의 사슬 추론을 활용하여 복잡한 쿼리를 더 작은 단계로 세분화합니다.

생각의 사슬을 사용하는 OpenAI의 GPT-1은 추론 모델의 벤치마크를 설정했습니다.

딥 시크 R1은 특정 영역에서 GPT-1과 경쟁하고 이를 능가하는 것을 목표로 합니다.

R1은 AMY(실제 추론) 및 수학 벤치마크에서 GPT-1보다 성능이 뛰어납니다.

R1은 정밀도가 요구되는 색다른 문제를 처리하여 GPT-4 및 Claude보다 뛰어난 성능을 발휘합니다.

R1은 추론 과정을 투명하게 보여줌으로써 이해와 신뢰를 높입니다.

R1은 GPT-3과 유사한 특정 논리 문제(예: 틱택토)로 어려움을 겪습니다.

R1은 탈옥에 취약하여 오용에 대한 윤리적 우려가 제기되고 있습니다.

정치적으로 민감한 주제에 대한 R1의 답변은 중국 규정으로 인해 제한되어 있습니다.

딥 시크의 설립 배경 및 향후 계획

딥 시크는 하이 플라이어 캐피털 매니지먼트의 지원을 받아 인프라에 상당한 투자를 하고 있습니다.

R1은 딥서치 채팅을 통해 공개 테스트할 수 있으며, 비과금 사용자에게는 제한이 있습니다.

Deep Seek은 애플리케이션에 쉽게 통합할 수 있는 API를 출시할 계획입니다.

딥 시크의 오픈소스 개발에 대한 노력은 AI 시장에 영향을 미치고 있습니다.

스케일링 법칙에서 테스트 시간 계산과 같은 새로운 기술로 전환이 일어나고 있습니다.

Google의 Gemini 챗봇은 메모리 기능을 통합하고 있지만 구독 제한이 있습니다.

2025년까지 AI의 거의 무한대에 가까운 메모리에 대한 예측에 대해 논의합니다.

AI의 미래: 공동 파일럿과 그 너머

Microsoft의 비전에는 조언자, 교사, 동반자 역할을 하는 AI 공동 파일럿이 포함됩니다.

실시간 오디오 생성의 발전으로 AI와의 상호작용이 향상되었습니다.

명시적인 지시가 필요 없는 AI의 잠재력이 강조되고 있습니다.

전반적인 추세는 보다 직관적이고 인간 중심적인 AI 시스템을 지향하고 있습니다.