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16 results for “team assessment”
like, the data I have, but also on production data, just to get a sense of, like, what scale is this happening. Let me find more traces. Let me have a, you know, a way to iterate on this. And so we can take this prompt, and I'm gonna use a spreadshee
56:08 / 57:17
from transcript56:08 – 57:17
...a small team, we don't have, like, you know, a $100,000,000 to pay data providers. And so a lot of the evaluation ends up being a combination of point, like, task based evals. So, like, the Ader has an awesome benchmark that we built on top of intern
24:04 / 25:07
from transcript24:04 – 25:07
and see what the failure rate is there. This is not a unit test. Right? But still, now we get, like, a extremely specific measure of application quality. Cool. That's a really great point because a lot of people deceive us for being this, like, not r
51:44 / 52:45
from transcript51:44 – 52:45
capture, like, all the stuff that people do at work. No eval is perfect. There's always gonna be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input f
40:31 / 41:36
from transcript40:31 – 41:36
doesn't do, actually that well in GDP val, AA. Yeah. The the thing that you have to watch out for with Olympiadge is self preference that models usually prefer their own output. And in this case, it was not. Totally. I think the the the way that we'r
41:57 / 43:22
from transcript41:57 – 43:22
...team and an assessments team that's going through and basically iteratively helping them understand how to use the tools that we built and how to interact with the latest models. Then they go in and start actually creating data and that, you know, th
14:13 / 15:19
from transcript14:13 – 15:19
...and an assessments team that's going through and basically iteratively helping them understand
13:27 / 14:37
from transcript13:27 – 14:37
...to that assessment of investment performance, what have you found works in the assessing teams? It's one of the benefits of the asset management industry. It's ruthless in its objectivity. It's hard to fudge whether you've performed or underperformed
28:53 / 30:14
from transcript28:53 – 30:14
...believe the team and assess the team, especially in an early stage. So I think that's important. That will conclude this installment of investor stories. If you're enjoying the program and would like to see it continue, take a moment and leave a five
10:27 / 11:10
from transcript10:27 – 11:10
...and assess the team, especially in an early stage. So I think that's important.
9:39 / 10:46
from transcript9:39 – 10:46
...team and then not pay out the cap table, then the investors suffer. I have not seen a whole lot of fine print around what you can do there, but eventually, it ends up being whatever the board decides to do. There's always some fine print on these dea
17:01 / 18:17
from transcript17:01 – 18:17
...teams, employing operational and financial leverage, and exiting investments. We then turn to managing Vista and the competitive landscape and close with reflections on Robert's past mistakes and impact through philanthropy. Please enjoy my conversat
3:48 / 4:50
from transcript3:48 – 4:50
...teams, employing operational and financial leverage, and exiting investments.
2:55 / 4:03
from transcript2:55 – 4:03
...the team. I totally agree. Price wise, have the best companies consistent even the highest price when you look back? No. I mean, I think there is a correlation. I think it comes back a little bit to the sort of the founder's ability to sell versus th
45:30 / 46:48
from transcript45:30 – 46:48
...team. I totally agree. Price wise, have the best companies consistent even the highest price when you look back? No. I mean, I think there is a correlation. I think it comes back a little bit to the sort of the founder's ability to sell versus their
46:03 / 47:30
from transcript46:03 – 47:30
...assessment of the teams and, you know, the research ideas that they're pursuing. You know, in terms of portfolio construction, I I I quite like the way that we've done it, where, you know, we have some, you know, absolute champion companies that we w
1:01:26 / 1:02:30
from transcript1:01:26 – 1:02:30
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