large language model

also referred to as: large language models · llm

10 statements across 9 episodes · 4 bullish · 2 bearish · 9 people on the record · first statement Jun 5, 2025 by Adam Mangana · across every show →

Everything said about large language model, oldest first

Jun 5, 2025
Disclosure
OptimaEd Uses SLMs and LLMs to Power VR Teaching Avatars
“We're now using small language models and even large language models to power The avatars that are teaching about these particular subjects.”
Adam Mangana Jun 5, 2025 ▶ 17:19 Revolutionizing Education with VR and AI: Inside Optima’s Journey with Adam Mangana
Jun 9, 2025 bullish
Opinion
Marquez: Building AI on existing cash flow yields higher odds than starting from scratch
“You may actually be better off starting with professional services, hardware, an existing business, and then asking, you know, Hey, How do I leverage this existing cash flow to do things better? The irony of it is, is your odds of success are probably higher. …”
Kristian Marquez Jun 9, 2025 ▶ 40:17 Transforming Legacy Industries through Thematic Investment and AI with Jon McLaughlin
Aug 25, 2025 neutral
Insight
Soffer: LLMs Alone Cannot Deliver Fully Contextualized Companion Care
“And in doing that, we've added dimensions that the semantic layer itself, even if you enrich its contextual capabilities, will not be able to do. Unless married with other technologies, which is what we're doing here.”
Ronan Soffer Aug 25, 2025 ▶ 30:23 Senior Care with AI: Compassionate Companion Robots with Intuition Robotics
Oct 21, 2025 neutral
Disclosure
FarmBlox relies on traditional machine learning for time-series data instead of LLMs
“We don't actually use the large language models today in our product. So this is more traditional machine learning, you know, from proprietary data like time series data.”
Nathan Rosenberg Oct 21, 2025 ▶ 33:14 FarmBlox's Modular Automation: Building the Future of Smart Agriculture with Nathan Rosenberg
Nov 4, 2025
Insight
Emmons: Developers should start with giant AI models before pruning to niche ones
“So my suggestion usually to everybody is start with the biggest and you can test the smaller ones to see if they keep up or keep well enough for what you're trying to do. But if it really matters, start with the biggest and then use a tool like swept to speed …”
Shane Emmons Nov 4, 2025 ▶ 20:47 Building Trustworthy AI: Navigating the Challenges and Future of Agentic Software with Shane Emmons
Jan 27, 2026 negative
Opinion
Kaplan: Democratic AI Resists Bad Actors Better Than Monolithic Silicon Valley LLMs
“I think that's a much more sort of robust and resistant to bad actor kind of design than having one giant LLM. You don't know how it operates because that's another problem. They're big black boxes and the value system was programmed in by five people at open …”
Craig Kaplan Jan 27, 2026 ▶ 20:40 AI Safety with Craig Kaplan of iQ Company | The Innovators & Investors Podcast
Jan 27, 2026 bullish
Insight
Kaplan: Coordinated AI Communities Will Outperform Any Monolithic System
“Each individual entity, whether it's a large language model or human, doesn't need to be a super genius. You can just be kind of okay. But together in aggregate, if you coordinate them in the right way, the community itself will be smarter than anything on the…”
Craig Kaplan Jan 27, 2026 ▶ 19:38 AI Safety with Craig Kaplan of iQ Company | The Innovators & Investors Podcast
Feb 17, 2026 positive
Disclosure
Kohn: Meridian runs computer vision entirely on-device without relying on LLMs
“So nothing relies on an LLM at the moment. Everything relies on our proprietary computer vision model, which was built on a neural network and shrunk down to operate entirely on device.”
Josh Kohn Feb 17, 2026 ▶ 9:50 Scaling Computer Vision Technology with Josh Kohn of Meridian Performance Systems | The Innovators & Investors Podcast
Mar 24, 2026 negative
Opinion
Ambrose: Thin LLM wrappers around workflows cannot build sustainable businesses
“The world of, I'm going to take an LLM, I'm going to wrap it around some particular workflow or use case and think that builds a business. I mean, we, we've pretty much seen in the market that that's, there's not a lot of belief in that, right?”
Jason Ambrose Mar 24, 2026 ▶ 10:47 Scaling Revenue Intelligence with Jason Ambrose of People.ai | The Innovators & Investors Podcast
Jun 16, 2026 positive
Insight
Bayramov: Eliminating data before LLMs is the only real AI security fix
“I think the only right solution in this case is, Even though you have a local model, or even though you're using the enterprise safe version of the model is just to eliminate the data completely. So if you don't have anything sensitive that goes to AI in the f…”
Anar Bayramov Jun 16, 2026 ▶ 17:55 Securing the AI Frontier with Anar Bayramov of Polygraf | The Innovators & Investors Podcast
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