DeepSeek, founded in 2023 by Liang Wenfeng, a Chinese entrepreneur, engineer and former hedge fund manager, is generating a lot of buzz and for good reason. Here are five things that make it stand out (as well as a listing of the latest news and analysis about DeepSeek).DeepSeek offers:More accessibility and efficiency: DeepSeek is designed to be less expensive to train and use than many competing large language models (LLMs). Its architecture allows for high performance with fewer computational resources, which is designed to lead to faster response times and less energy consumption.Open-source availability and rapid development: DeepSeek is under active development with new models and features being released regularly. Models are often available for public download (on Hugging Face, for instance), which encourages collaboration and customization.Advanced capabilities: reasoning and multimodal learning: Models like DeepSeek-R1 are designed with a focus on advanced reasoning capabilities, aiming to go beyond simple text generation. DeepSeek is expanding into multimodal learning, handling diverse input types such as images, audio and text for a more comprehensive understanding.Limitations: Bias and context: Like all LLMs, DeepSeek is susceptible to biases in its training data. Some biases may be intentional for content moderation purposes, which raises important ethical questions. While efficient, DeepSeek could have limitations in handling extremely long texts or complex conversations.Architecture and performance DeepSeek uses a mixture of experts architecture, employing specialized submodels for different tasks, enhancing efficiency and potentially reducing training data needs. DeepSeek has demonstrated competitive performance, comparable to established models in certain tasks, especially mathematics and coding.Follow this page for latest news and analysis on DeepSeek.The DeepSeek lesson - success without relying on Nvidia GPUsFeb. 3, 2025: During the past two weeks,DeepSeekunraveled Silicon Valleys comfortable narrative aboutgenerative AI (genAI)by introducing dramatically more efficient ways to scalelarge language models(LLMs). Without billions in venture capital to spend on Nvidia GPUs, DeepSeek had to be more resourceful and learned how to activate only the most relevant portions of their modeNvidia unveils preview of DeepSeek-R1 NIM microserviceJan. 31, 2025: Nvidia stock plummeted after Chinese AI developer DeepSeek unveiled its DeepSeek-R1 LLM. Last week, the chipmaker turned around and announced the DeepSeek-R1 model is available as a preview NIM on build.nvidia.com. Nvidias inference microserviceis a set of containers and tools to help developers deploy and manage gen AI models across clouds, data centers, and workstations.Italy blocks DeepSeek due to unclear data protectionJan. 31, 2025: Italys data protection authorityGarantehas decided to block Chinese AI model DeepSeekin the country. The decision comes after the Chinese companies providing the chatbot service failed to provide the authority with sufficient information about how users personal data is used.How DeepSeek changes the genAI equation for CIOsJan. 30, 2025: The new genAI models explosion on the scene is likely to amp up competition in the market, drive innovation, reduce costs and make gen AI initiatives more affordable. Its also a metaphor for increasing disruption. Maybe its time for CIOs to reassess their AI strategies.DeepSeek leaks 1 million sensitive records in a major data breachJan. 30, 2025: A New York-based cybersecurity firm, Wiz, has uncovered a critical security lapse at DeepSeek, a rising Chinese AI startup, revealing a cache of sensitive data openly accessible on the internet. According to Wiz, the exposed data included over a million lines of log entries, digital software keys, backend details, and user chat history from DeepSeeks AI assistant.Microsoft first raises doubts about DeepSeek and then adds it to its cloudJan. 30, 2025: Despite initiating a probe into the Chinese AI startup, Microsoft added DeepSeeks latest reasoning model R1 to its model catalog on Azure AI Foundry and GitHub.How DeepSeek will upend the AI industry and open it to competitionJan. 30, 2025: DeepSeek is more than Chinas ChatGPT. Its a major step forward for global AI by making model building cheaper, faster, and more accessible, according to Forrester Research. WhileLLMs arent the only route to advanced AI, DeepSeek should be celebrated as a milestone for AI progress, the research firm said.DeepSeek triggers shock waves for AI giants, but the disruption wont lastJan. 28, 2025: DeepSeeks open-source AI models impact lies in matching US models performance at a fraction of the cost by using compute and memory resources more efficiently. But industry analysts believe investor reaction to DeepSeeks impact on US tech firms is being exaggerated.DeepSeek hit by cyberattack and outage amid breakthrough successJan. 28, 2025: Chinese AI startup DeepSeek was hit by acyberattack, according to the company, prompting it to restrict user registrations and manage website outages as demand for its AI assistant soared. According to the companys status page, DeepSeek has been investigating the issue since late evening Beijing time on Monday.What enterprises need to know about DeepSeeks game-changing R1 AI modelJan. 27, 2025: Two years ago, OpenAIs ChatGPT launched a new wave of AI disruption that left the tech industry reassessing its future. Now, within the space of a week, a small Chinese startup called DeepSeek has pulled off a similar coup, this time at OpenAIs expense.iPhone users turn on to DeepSeek AIJan. 27, 2025: As if from nowhere, OpenAI competitorDeepSeekhas risen to the top of the iPhone App Store chart, overtaking ChatGPTs OpenAI. Its the latest in a growing line of genAI services and seems to offer some significant advantages, not least its relatively lower development and production costs.Chinese AI startup DeepSeek unveils open-source model to rival OpenAI o1Jan. 23, 2025: Chinese AI developer DeepSeek has unveiled an open-source version of its reasoning model, DeepSeek-R1, featuring 671 billion parameters and claiming performance superior to OpenAIs o1 on key benchmark. DeepSeek-R1 achieves a score of 79.8% Pass@1 on AIME 2024, slightly surpassing OpenAI-o1-1217, the company said in a technical paper. On MATH-500, it attains an impressive score of 97.3%, performing on par with OpenAI-o1-1217 and significantly outperforming other models.