This week, the Kettle focuses on DeepSeek, a Chinese hedge-fund project that has drastically impacted the stock values of major tech firms like Nvidia, Microsoft, and Meta. With almost a trillion dollars lost in the Market, questions arise about the true value of DeepSeek’s publicly available models, V3 and R1. In an engaging discussion featuring Tim Prickett-Morgan from The Next Platform and journalists Tobias Mann and Iain Thomson from The Register, the team dives into the technical background of DeepSeek and shares insights on how to run its R1 model locally. Tune in for a mix of technical analysis and witty commentary in this week’s 20-minute audio and video episode available on various platforms.
Kettle Discusses DeepSeek’s Impact on Tech Stocks
This week, the Kettle podcast takes a deep dive into the sensational world of artificial intelligence with a focus on DeepSeek. Originally a Chinese hedge-fund initiative, DeepSeek has recently made waves in the stock Market, causing a staggering loss of nearly one trillion dollars in the Market value of tech giants like Nvidia, Microsoft, and Meta.
Is DeepSeek really changing the game? The company’s new V3 and R1 large language models (LLMs) have stirred debate among tech enthusiasts and industry experts alike. Critics question whether these models are as revolutionary as they’re portrayed. In our latest episode, we sat down with Timothy Prickett-Morgan from The Next Platform, and Tobias Mann and Iain Thomson from The Register, to explore these questions in detail.
Tim shared insights about the backend technology that fuels DeepSeek, while Tobias provided a step-by-step guide on how to run the DeepSeek R1 locally. The discussion covers both technical evaluations and some humorous takes on the new technology.
If you want to catch the full conversation, we have an engaging 20-minute episode available on platforms like Apple Podcasts, Spotify, and more. Explore the intriguing yet uncertain future of artificial intelligence as we dissect the implications of DeepSeek on the entire tech landscape.
For more fascinating tech insights, check out our show, available in audio format via various platforms. Don’t miss this opportunity to stay ahead in the ever-evolving world of technology!
Primary Keyword: DeepSeek
Secondary Keywords: artificial intelligence, tech stocks, large language models
What is DeepFake technology?
DeepFake technology uses artificial intelligence to create realistic-looking fake videos or audio recordings. It can swap faces or mimic someone’s voice, making it seem like a person did or said something they didn’t.
How is DeepFake different from DeepSeek?
DeepSeek focuses on searching through massive amounts of data, like images or videos, to find and identify DeepFake content. While DeepFake creates false content, DeepSeek helps to find and analyze it.
What are the risks of DeepFake technology?
DeepFakes can mislead people by spreading false information. They can also be used for harmful purposes, like creating fake news or damaging someone’s reputation. It’s important to verify the sources of videos or audio before believing them.
How does China relate to DeepFake technology?
China is heavily investing in AI technologies, including DeepFake. This raises concerns about how such technologies might be used for surveillance or propaganda, impacting privacy and freedom of expression.
Can DeepFake technology be used for good?
Yes, DeepFake technology can have positive uses. For example, it can be used in movies to create special effects or to help with dubbing in different languages. However, ethical guidelines are needed to prevent misuse.
