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Step into a world where the blood moon rises, casting its crimson glow over an unforgettable night of music, energy, and revelation. In Under The Blood Moon Awakens: An Eclipse of Dark Tribal Frequencies, Speir summons the sounds of past raves and blends them with the cutting-edge beats of the future. Basslines as deep as the darkest night and melodies as sharp as moonlight guide you through this otherworldly journey, where the raw power of tribal rhythms meets the precision of industrial machines.

As fog swirls and shadows dance, Speir’s tribal techno beats will transport you to another dimension. With lasers tearing through the darkness and music that compels your body to move like never before, this is more than just a show—it’s a ritual, a revelation. Ancient echoes merge with modern sound in a relentless, heart-pounding set that challenges your limits and pushes you deep into the industrial underground. Prepare for a night of primal energy and futuristic sound, as Speir weaves an auditory experience that will stay with you long after the last beat drops.

Phoenix, Arizona — The wait is over. After more than two decades away from the live stage, internationally acclaimed DJ Speir will return for a 2025 world tour unlike anything fans have ever experienced titled "Under The Blood Moon Awakens: An Eclipse of Dark Tribal Frequencies," this highly anticipated event will transport audiences into a realm of darkness and primal energy, as Speir rises like a vampire from the underground.

Under the red glow of the blood moon, Speir will summon a hypnotic blend of tribal house, techno, and industrial beats that promises to captivate the senses and move the body. Speir’s visual sets, available exclusively on The Speir Platform, have already been experienced by over 500 million people across 140+ countries, with billions of views amassed. Now, for the first time in over 20 years, fans will have the opportunity to experience Speir’s music live.

"This tour is not just a return; it’s a rebirth," Speir said. "I’ve spent years crafting this set to blend the energy of my earlier shows with a new edge, and I can’t wait to bring it to life for the fans."

The event promises a sensory overload, with fog and lasers piercing through the darkness as Speir's basslines thunder and melodies cut like moonlight. Drawing from his legendary Techno Blood Inn and Red Party Circuit São Paulo performances, Speir weaves a set that feels both ancient and futuristic—a night where the past raves of the underground meet the sounds of the future. The experience will push boundaries and challenge perceptions of what a live electronic show can be. Tour Dates and Cities:

Berlin, Germany

Prague, Czech Republic

Amsterdam, NetherlandsLondon, UK

Barcelona, Spain

Reykjavik, Iceland

Detroit, USA

Mexico City, Mexico

São Paulo, Brazil

Tokyo, Japan

Los Angeles, USA

Phoenix, USA

Background – What is DeepSeek, and Who’s Behind It?

DeepSeek is a Chinese AI lab startup that has rapidly emerged as a leader in open artificial intelligence. Based in Hangzhou and led by founder and CEO Liang Wenfeng – a former hedge fund quant – the company was founded in late 2023 and quickly went from newcomer to industry disruptor within a year. Unlike the AI offerings from Western tech giants, DeepSeek’s model releases have been remarkably open. DeepSeek provides its large language models as open-weight AI systems with virtually no usage restrictions: anyone can download the model’s weights, fine-tune them, or deploy them without permission or licensing fees. This extreme openness (even relative to “open-weight” models like Meta’s Llama 2, which still have a gated license) is central to DeepSeek’s identity. It means independent researchers and companies worldwide can build on DeepSeek’s technology freely – a bold approach that “breaks the monopoly” of proprietary AI and democratizes AI innovation. Of course, it also raises concerns about misuse, but DeepSeek’s philosophy is that the benefits of openness outweigh the risks.

Ownership and affiliation: DeepSeek is a private venture – reportedly a Hangzhou-based startup whose controlling shareholder is Liang Wenfeng (also co-founder of hedge fund High-Flyer). Liang’s background in both finance and AI gave him the foresight to invest early in computing resources, and DeepSeek’s team leveraged clever algorithmic optimizations (like Mixture-of-Experts architectures and reinforcement learning) to achieve results that rival tech giants’ models at a fraction of the cost. The company’s first large language models launched in late 2024, and DeepSeek has continued to iterate rapidly. It introduced DeepSeek-V3, a general-purpose 671B-parameter MoE model, in December 2024, followed by DeepSeek-R1, a specialized “reasoning” model, in January 2025. These releases – completely free and open – shocked the AI world and even prompted some governments and institutions to ban DeepSeek’s models over security worries. However, many experts hailed DeepSeek’s arrival as a watershed moment for AI. Venture capitalist Marc Andreessen even called DeepSeek’s R1 AI’s “Sputnik moment,” comparing its impact to the 1957 satellite launch that spurred a global space race. In short, DeepSeek’s open strategy has upended conventional wisdom in AI – proving that a small lab with optimized methods can challenge (and sometimes surpass) the juggernauts, all while giving its work away to the public.

Hugging Face’s Role in Distributing DeepSeek Models

One key factor enabling DeepSeek’s global impact is the distribution channel for its models. Rather than keeping the model solely on its servers, DeepSeek partnered with the open-source AI community’s favorite platform: Hugging Face. The Hugging Face Hub hosts the DeepSeek model files, making them easy for developers worldwide to download or integrate into their applications. For example, the newly released DeepSeek V3-0324 model is available on Hugging Face, consisting of a whopping 641 GB of weight files in safetensors format. (This massive size reflects the 671 billion parameters of the MoE model.) Hugging Face’s hosting allows anyone with sufficient hardware to obtain and run DeepSeek locally. The hub listing also provides a model card detailing usage instructions and an MIT license, under which the model is released.

Hugging Face has been more than just a passive host; it has actively engaged with the DeepSeek ecosystem. The open-source AI community, including Hugging Face’s scientists, took great interest in DeepSeek’s techniques. Hugging Face even began “OpenR1,” an effort to replicate DeepSeek-R1’s recipe, hoping to further demystify its “special sauce.” Moreover, Hugging Face’s Text Generation Inference (TGI) framework is often used to serve DeepSeek models efficiently on consumer hardware. All of this means that when DeepSeek pushes out a new model version, Hugging Face helps quickly propagate it to researchers, developers, and enthusiasts. The result is an enthusiastic open-source community that can experiment with top-tier AI without needing API access or permission from Big Tech. The release of V3-0324 has been no exception – within hours of launch, developers on social media reported getting the model running at over 20 tokens/second on a single high-end workstation, thanks to community-contributed 4-bit quantizations and Hugging Face’s tooling. In short, Hugging Face has been an essential distribution partner, amplifying DeepSeek’s reach and fostering a rich ecosystem around these open-weight models.

Sources:

  1. DeepSeek model weights and licensing on Hugging Face: https://huggingface.co/deepseek-ai
  2. DeepSeek founder background: https://www.scmp.com/tech/tech-leaders/article/3253209/liang-wenfeng-chinese-hedge-fund-star-who-wants-democratise-ai-through-start-deepseek
  3. Aider Polyglot benchmark analysis: https://github.com/aider/aider/issues/802
  4. DeepSeek benchmark performance report: https://www.phind.com/blog/deepseek-r1
  5. DeepSeek-R1 and V3-0324 announcements: https://www.deeplearning.ai/the-batch/deepseek-r1/
  6. Claude 3.7 benchmark data from Anthropic: https://www.anthropic.com/news/claude-3-family
  7. Nvidia stock crash after DeepSeek R1: https://www.barrons.com/articles/nvidia-stock-price-drop-ai-competition-1e328f2c
  8. Alibaba stock performance post-Qwen and DeepSeek: https://www.cnbc.com/2025/03/06/alibaba-shares-rally-on-new-qwen-model.html
  9. AWS Bedrock and DeepSeek integration: https://aws.amazon.com/bedrock/
  10. Text Generation Inference by Hugging Face: https://huggingface.co/docs/text-generation-inference/
  11. Marc Andreessen’s reaction to DeepSeek: https://twitter.com/pmarca/status/1758273772309452882
  12. OpenR1 initiative by Hugging Face: https://huggingface.co/OpenR1
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