A new podcast, Superintelligence, has launched across all major platforms including Spotify, Apple Podcasts, and YouTube. The show aims to deliver "real, unfiltered discussions" with founders, researchers, and operators at the frontier of AI, explicitly avoiding hype and fluff.
What Happened
The podcast's first episode is live and features an exclusive interview with Kari Briski, Vice President of Generative AI Software at NVIDIA. The conversation was recorded live at GTC 2026 in San Jose and focuses on Nemotron 3 Super, NVIDIA's recently announced 120-billion-parameter hybrid Mamba model.
The hosts promise the episode provides a deep dive into how this model is "reshaping enterprise AI architecture." The announcement states that future episodes are already lined up with "exciting AI startups and some very well-known names in the industry," with guests to be announced as episodes are released.
Context
The launch of a technically focused AI podcast aligns with a growing demand for substantive, behind-the-scenes discussions as the industry matures. NVIDIA's GTC conference is a major annual event for AI and accelerated computing, making an interview recorded there a logical starting point for a new industry-focused show.
Nemotron 3 Super, the model discussed in the debut episode, represents NVIDIA's strategic push into large-scale, efficient foundation models. Its hybrid Mamba architecture combines elements of traditional Transformer models with the more recent, computationally efficient Mamba state-space models.
gentic.news Analysis
The launch of Superintelligence is a notable entry into the technical podcasting space, which includes established shows like The TWIML AI Podcast and Lex Fridman Podcast. Its direct focus on "no hype, no fluff" conversations with operators positions it for an audience of engineers and technical leaders who are saturated with marketing-driven content.
Choosing NVIDIA's Kari Briski and the Nemotron 3 Super as the first guest is a strong signal of intent. It immediately establishes credibility by going deep on a major technical release from the industry's most influential hardware and software player. This follows NVIDIA's pattern of using its GTC event as a launchpad for major software announcements, a trend we covered in our analysis of the CUDA Quantum and Blackwell platform launches.
The podcast's success will hinge on its ability to consistently secure high-caliber technical guests and facilitate conversations that reveal genuine insights beyond corporate talking points. If it can maintain this standard, it could become a valuable resource for practitioners seeking to understand the implementation challenges and architectural trade-offs behind headline-grabbing models.
Frequently Asked Questions
Where can I listen to the Superintelligence podcast?
You can find the Superintelligence podcast on all major platforms, including Spotify, Apple Podcasts, YouTube, and other podcast listening apps. A direct link was not provided in the announcement, but searching "Superintelligence podcast" on your preferred platform should surface it.
What was discussed in the first episode with NVIDIA's Kari Briski?
The first episode features a deep dive into NVIDIA's Nemotron 3 Super, a 120-billion-parameter hybrid Mamba model. The conversation, recorded at GTC 2026, focuses on the model's architecture and its implications for reshaping enterprise AI infrastructure and deployment strategies.
Who is behind the Superintelligence podcast?
The source announcement does not specify the hosts or production company behind the Superintelligence podcast. The announcement was made via the X (formerly Twitter) account @kimmonismus. The show's branding and initial guest suggest it is produced by individuals with strong connections to the core AI industry.
What kind of guests will be on future episodes?
According to the announcement, the podcast has "exciting AI startups and some very well-known names in the industry" already lined up for future episodes. The show's premise is to feature founders, researchers, and operators at the frontier of AI.
