Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 1/5

Smith-Eppsteiner: Hubflow automates trucker scheduling without altering receiver workflows

Sam Smith-Eppsteiner · Specialized AI brains for physical industry · Apr 4, 2025 · at 23:01

Sam Smith-Eppsteiner discusses Hubflow as an example of single-party industrial AI workflow automation.

0:00 / 0:07exact quote · 7.2s
720p mp4 · rendered on demand · StarZero watermark
“Hubflow is automating that for the trucker, but the third party, the receiver, actually has the same exact workflow. Like, to them, it's invisible.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Sam Smith-Eppsteiner

Prediction Not checkable as stated
Smith-Eppsteiner: AI companies face 40% to 70% gross margins from inference costs
“Like, inference cost is non-trivial. I think for a bunch of the AI companies, both in our portfolio and that we've seen you know, this is, like, not going to be a 90% margin SaaS. Like, we may be talking about 40 to 70% gross margin based on inference costs.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 33:43 Specialized AI brains for physical industry
Assertion Supported
Smith-Eppsteiner: Some law firms use Anthropic directly over Harvey
“Like I know law firms that are using Anthropic instead of Harvey or legal AI tools, so there's definitely anecdote on both sides.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 5:04 Specialized AI brains for physical industry
Assertion Partly supported
Smith-Eppsteiner: Last multi-billion hardware engineering software started in 1990s
“If you look at, I think we were looking at once you know, companies that have built sort of multi-billion category defining products selling to hardware engineers, and the last one was started in like the nineties. Maybe even the eighties.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 6:56 Specialized AI brains for physical industry
Opinion
Smith-Eppsteiner: Foundation AI models struggle with blueprints and technical diagrams
“I think the reality is these models are just not that good today at sort of understanding you know, a very technical diagram, a blueprint, because they haven't seen enough of them.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 9:24 Specialized AI brains for physical industry
Insight
Smith-Eppsteiner: Prompt engineering reaches 70% to 90% of performance
“In talking to, you know, founders who are actually building, it seems like prompt engineering can get you quite far, right? So like, it's widely variable, but let's say you can get to like, 70, 90% of where you need to be from a performance perspective.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 14:26 Specialized AI brains for physical industry
Opinion
Smith-Eppsteiner: DeepSeek proved low-cost, small models are viable for startups
“Like DeepSeek and others have shown, they're Is a path to sort of lower cost, smaller models that are viable for startups to build.”
Sam Smith-Eppsteiner Apr 4, 2025 ▶ 15:59 Specialized AI brains for physical industry
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.