LLMs
10 statements across 7 episodes · 3 bullish · 3 bearish · 7 people on the record · first statement Mar 12, 2025 by Kelly Granat · across every show →
Everything said about LLMs, oldest first
Mar 12, 2025 bearish
Granat: LLM providers will consolidate and fail to capture most AI value
“I would say at a high level, you know, obviously we have been of the view or questioning of the view from the beginning, I would say to stepping back that LLMs would not be where the value was ultimately probably largely created and that there, the fact that t…”
Jun 10, 2025 bearish
Jun 10, 2025 neutral
Oct 21, 2025 bullish
Atiyeh: Future Software Code Is LLMs, Instructions, and Infinite Loops
“The next phase that we're entering and the one that I'm seeing in our company is one where you start thinking about these LLMs really as part of your product and your pro Programming them. So you're no longer writing the same code that you used to write with t…”
Oct 21, 2025 neutral
Atiyeh: Most Companies Are Stuck Using AI Only for Marginal Speedups
“It's obvious to me that the impact The effects of adopting the technology are transformative, but a lot of companies are still stuck in the very early phases, and I would describe the first very early phase as you are using those, ah, LLMs to do the same work …”
Dec 16, 2025 bullish
Robotics costs will likely drop 15% to 20% annually due to scale
“And the cost on the existing use cases probably don't go down at three to five percent at this point in the curve because of the scale brought in, the human capital brought in, the IP bought on, and the fact that you're going to be able to use these general pu…”
Feb 24, 2026 neutral
Sundheim: The Capital-Intensive LLM Market Will Ultimately Support Only Five Competitors
“At this point, you probably have four or five LLMs that will be relevant in the long term. I don't see that changing. Not that there's not sufficient talent out there. It's just that the capital required to get into this business is too great in these companie…”
Mar 31, 2026 bearish
Levine: Text Representations in LLMs Are Suboptimal for Embodied AI
“So LLMs make certain kinds of representations very convenient. They make it very convenient to basically turn text into other text. But that's not necessarily the best representation for what an embodied system needs to do. Like sometimes it needs to think abo…”
Mar 31, 2026 positive
Levine: Physical intelligence underpins human reasoning from daily language to theoretical physics
“We, we're so primed to interact with the physical world, so primed to have physical intelligence that you can use it in everyday speech by saying that company has a lot of momentum, and you can use it when advancing fundamental theoretical physics.”
Aug 11, 2026 neutral
Vishria: Real-world robotics lacks internet-scale bootstrap data like LLMs have
“Repetitive tasks in controlled environments is, like, more or less solved, and, like, you know, that'll continue to happen. But having tweaked tasks in real-world environments, that's where you need the AI. Like, that's where you need the AI plus the robots. A…”