Arvid Kahl
speaker
22,801 appearances
96 recordings
1 series
first heard Aug 2024
last heard 3 Apr
Arvid Kahl’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 23 in all, peaking in Jan 2026 with 5.
Appearances
And some of these landmines aren't ones that we lay as founders, even though you know, incompetence does do that.
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But
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The providers are laying them under our feet while we're walking and they're not telling us about it.
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So I generally consider any AI implementation that I have in my system to require by default an abstraction layer where provider swapping can be done with a configuration toggle.
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Any feature should be provider agnostic because of the standards that exist in the field that have been set to how to interact with LLMs.
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I think it's quite easy to be going agnostic and I highly recommend it.
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You can run your own LLMs if you want to.
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They may not be as powerful, but it's an option.
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It's a powerful ones to give you the operational advantage right now.
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So maybe running your own, not the best idea.
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Just abstract and be ready to swap and test it, right?
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See if you can do the same thing with OpenAI that you did with your Claude API, or see if you can have a Grok in there somewhere.
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Like there are many different ways to do this.
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The difference will sometimes be in the details of the prompt a little bit, but you can assume that most of the frontier models will deal with the same prompt.
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very similarly.
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Unless you have it kind of a conversational structure to it, might be different, but anything that has to do with data, it's going to be quite reliable.
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So.
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If you can do only three things before you ship an AI feature, here they are.
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First, rate limit everything.
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Assume anything with an endpoint will get hammered by customers, by their agents, by their stupid agents, by bad actors, confused bots, anybody.
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Showing 461–480 of 22,801 · page 24 of 1141
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