Hosted by Nicolay Gerold · 🇺🇸 US · EN · 59 episodes
Established thought leaders with verified media credentials.
Real engineers. Real deployments. Zero hype. We interview the top engineers who actually put AI in production. Learn what the best engineers have figured out through years of experience. Hosted by Nicolay Gerold, CEO of Aisbach and CTO at Proxdeal and Multiply Content.
Nicolay Gerold hosts How AI Is Built, a technology show with 59 episodes published.
Nicolay here, Most AI coding conversations focus on which model to use. This one focuses on workflow - the specific commands, git strategies, and review processes that let one engineer ship production code with AI agents
Nicolay here, while everyone races to cloud-scale LLMs, Pete Warden is solving AI problems by going completely offline. No network connectivity required. Today I have the chance to talk to Pete Warden, CEO of Useful Sens
Nicolay here,most AI conversations focus on training bigger models with more compute. This one explores the counterintuitive world where averaging weights from different models creates better performance than expensive p
Nicolay here, Most AI coding tools obsess over automating everything. This conversation focuses on the right balance between human skill and AI assistance - where manual context beats web search every time. Today I have
Nicolay here, Today I have the chance to talk to Charles from Modal, who went from doing a PhD on neural network optimization in the 2010s - when ML engineers could build models with a soldering iron and some sticks - to
Nicolay here, Today I have the chance to talk to Charity Majors, CEO and co-founder of Honeycomb, who recently has been writing about the cost crisis in observability. "Your source of truth is production, not your IDE -
Nicolay here, Most AI developers are drowning in frameworks and hype. This conversation is about cutting through the noise and actually getting something into production. Today I have the chance to talk to Paul Iusztin,
Nicolay here, Most AI developers are drowning in frameworks and hype. This conversation is about cutting through the noise and actually getting something into production. Today I have the chance to talk to Paul Iusztin,
Nicolay here, I think by now we are done with marveling at the latest benchmark scores of the models. It doesn’t tell us much anymore that the latest generation outscores the previous by a few basis points. If you don’t
Nicolay here, I think by now we are done with marveling at the latest benchmark scores of the models. It doesn’t tell us much anymore that the latest generation outscores the previous by a few basis points. If you don’t
Nicolay here, most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos. Today I have the chance to talk to Dexter Hor
Nicolay here, most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos. Today I have the chance to talk to Dexter Hor
Today on How AI Is Built, Nicolay Gerold sits down with Jorge Arango, an expert in information architecture. Jorge emphasizes that aligning systems with users' mental models is more important than optimizing backend logi
Modern search is broken. There are too many pieces that are glued together. Vector databases for semantic searchText engines for keywordsRerankers to fix the resultsLLMs to understand queriesMetadata filters for precisio
John Berryman moved from aerospace engineering to search, then to ML and LLMs. His path: Eventbrite search → GitHub code search → data science → GitHub Copilot. He was drawn to more math and ML throughout his career. RAG
Kuzu is an embedded graph database that implements Cypher as a library. It can be easily integrated into various environments—from scripts and Android apps to serverless platforms. Its design supports both ephemeral, in-
Metadata is the foundation of any enterprise knowledge graph. By organizing both technical and business metadata, organizations create a “brain” that supports advanced applications like AI-driven data assistants. The goa
Daniel Davis is an expert on knowledge graphs. He has a background in risk assessment and complex systems—from aerospace to cybersecurity. Now he is working on “Temporal RAG” in TrustGraph. Time is a critical—but often i
Robert Caulk runs Emergent Methods, a research lab building news knowledge graphs. With a Ph.D. in computational mechanics, he spent 12 years creating open-source tools for machine learning and data analysis. His work on
When you store vectors, each number takes up 32 bits. With 1000 numbers per vector and millions of vectors, costs explode. A simple chatbot can cost thousands per month just to store and search through vectors. The Fix:
Charles
AI specialist · Team Ireland
1 appearance on this show
Charity Majors
CTO and Co-Founder of Honeycomb · Meant For More Ministries
1 appearance on this show
Jorge Arango
1 appearance on this show
Juan Sequeda
Principal Researcher · data.world
1 appearance on this show
Daniel Davis
Shoulder & Elbow Surgeon · Rothman Orthopaedics
1 appearance on this show
Zain Hasan
Senior AI/ML Engineer · Weaviate
1 appearance on this show
Alex Garcia
Community Engagement Coordinator · Ennube Solutions
1 appearance on this show
Brandon Smith
vice president of global sales and product management · National Association of Insurance Commissioners
1 appearance on this show
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How AI Is Built is hosted by Nicolay Gerold. The show is categorised under technology and has published 59 episodes.
How AI Is Built has published 59 episodes.
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