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Search complete. 20 mentions across 5 episodes found for "Augur".

Oct 17, 2026

John CookHOST
15:24
[laughs]
Todd BishopHOST
15:27
[laughs] So another company that shifted to the engineering center, of course, was Augur, our last editorial board meeting on the podcast, where they moved from Bellevue to Dallas as their headquarters.
Todd BishopHOST
15:40
Well, let's get to that.
John CookHOST
15:40
Well, that skips into our whole LinkedIn discussion.
John CookHOST
16:09
All right.
John CookHOST
16:09
That's fun.
Todd BishopHOST
16:10
[laughs] Uh, so Augur, we've talked about this at length, but they are no longer eligible for the GeekWire 200, our list of the top 200 startups in the Pacific Northwest.
Todd BishopHOST
16:23
They shifted to the engineering centers list because technically they're no longer headquartered here.

Unknown podcast

Liquid AI's local agent model: test the job, not the token speed

Oct 15 · 4 Mentions

speaker_0NARRATOR
0:08
That distinction matters when a vendor says a bigger model can still run quickly on a laptop.
speaker_0NARRATOR
0:14
Augur's recommendation is to test a narrow part of an existing agent's work locally, while keeping the current system as the comparison.
speaker_0NARRATOR
0:22
Don't book the savings before the local system has completed the job correctly.
speaker_0NARRATOR
0:26
This is the Augur Dispatch for Thursday, October 15th, 2026.
speaker_0NARRATOR
0:32
Liquid reports a score of about 48 on LiveClaw, a test of agent tool use, against about 38 for one competing open model from Quint.
speaker_0NARRATOR
0:41
These are benchmark scores, not percentages of your company's tasks that the model will finish.

5 MINS LATER

speaker_0NARRATOR
6:09
Count retries and human review as well as computing costs.
speaker_0NARRATOR
6:13
A lower model bill isn't a saving if an engineer spends the difference correcting answers or maintaining the machine.
Josh BrownHOST
37:14
'Cause yeah, I mean, like, we're not sponsored by that.
Josh BrownHOST
37:16
Augur is.
Josh BrownHOST
37:16
But, um, the fact that it's available, you, like you mentioned, £35.
Scott TailfordHOST
37:19
Yeah.

Unknown podcast

AI code review: what Greptile's reassuring averages leave out

Oct 6 · 6 Mentions

speaker_0HOST
0:26
Keep human approval while you find out.
speaker_0HOST
0:29
This is the Augur Dispatch for Tuesday, October 6th, 2026.
speaker_0HOST
0:34
Greptile makes a tool that reviews proposed software changes.
speaker_0HOST
0:38
Those proposals are called pull requests, and merging one means accepting it into the code base.
speaker_0HOST
1:47
Picture an engineering manager reading those findings just before a budget meeting.
speaker_0HOST
1:52
The obvious temptation is to say the quality problem has been solved and move the reviewers elsewhere.
speaker_0HOST
1:58
Augur's read is that the evidence supports a local audit before a staffing or approval change, not a general permission to stop checking.
speaker_0HOST
2:06
Gupta presented internal vendor data in a conference talk, not an independently audited study.
Annie LamontGUEST
53:19
Yeah.
Molly O’SheaHOST
53:20
Another one of these companies is Augur.
Molly O’SheaHOST
53:23
So what is Augur and how did you guys get involved?
Annie LamontGUEST
53:25
Augur.
Annie LamontGUEST
53:26
So Augur is, we have an amazing talent function at Oak and it's really embedded in our investment strategy.
Annie LamontGUEST
53:34
And they are identifying people every day that we should be talking to who are great entrepreneurs.
Annie LamontGUEST
53:40
great talent, whether it's in, you know, existing large legacy companies, whether it's in, uh, you know, the new entrepreneurs, whether it's 20 year olds that are dropping out of college.

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