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I’ve got to say I’ve seen plenty of interviews and podcasts with Simon but you managed to have the best. Good content, great vibe. Congratulations

you guys are doing a great job!

Love that you shared all your learnings and definitely looking forward to what you're releasing in November! Congratulations on the baby. So happy for you both 😂 j/k. It really does take a village to raise a kid. Bravo for taking a break publicly to raise your kid.

Thank you

Thank you

my man steve still talking to the back of the mic like the good days of steve's tech talk <3

Goat

I don’t understand how a person can be so clear, articulate, inspiring, and engaging. Every talk he gives is like this. Kelsey is amazing!

Congratulations! :D

Meatcube? Sound delicious.

great episode

This was a great interview, very profound insights from Steve around Product-Market-Fit and when to start Go-To-Market.

Great ending lol.

It's more like having 1000 or 10000 over-confident interns who do not have a concept of truth or lie. An intern knows when he's just making things up. LLMs don't. That's a big difference.

Great interview.. Max is such a legit guy! Very interesting to hear how very productive engineers are using the AI tools, sometimes starting with it almost like search. Most of the thinking gurus are drawing analogies for AI to be like typewriters... but interesting to see the actual working people call out the difference. this is at the scale of the internet change (massive implications to everything), but probably not similar to typewriters, which was very clearly a net positive and positive disruption

44:32 what’s up with the subtitles from this timestamp and several seconds following 😅

Great interview, very relaxed, and filled with small recommendations for working with LLMs.

Just stumbled on this and it was a really good episode! I don't even code but ya'll have great engagement with the guest.

If it were called what it actually is, "data compression and retrieval", rather than what it absolutely isn't, "intelligence", it wouldn't be as effective at tricking humans (especially investors) into running their imaginations run wild about it.

loved the podcast, i’m personally having an ai existential crisis too, steve’s wisdom is very helpful.

This interview would be so much better if you guys didn't giggle each 2 minutes.

I currently work in Google in API Platform org which overlaps with Brian's API design work. The documents he has authored internally are incredible (eg: imperative vs declarative APIs). Brian does such a wonderful job of disseminating deep knowledge which is not very common for senior leaders.

Amazing conversation, learned a lot from this. Thank you so much.

"TAM" == "Total Addressable Market". I had to look it up ;)

Made it to level 99 lol -- gold

This man is blasting 100% facts

Bryan's enthusiasm for design, programming and systems history is inspiring. It helped motivate me to work hard in my classes and learn more about the history of computing.

First! Great episode.

I don't personally think SQL monkeys (like myself) have anything to worry about. Business logic is just as important (if not more) than having a layout of the schema. The implementation of a context layer, even if it worked well with LLMs, would still require someone with a deep knowledge of the data and needs. People already write logical program scripts in-house to render SQL that are more accurate than anything I would imagine coming out of an LLM. I have been doing data analysis/science/whatever since the early 2000s, and this isn't the first time people thought cutting-edge tech would displace roles like mine -- remember the disruptive impact people thought NoSQL would have? People that got hired for those roles got laid off during cost cutting, and I just keep getting salary increases.

Great episode

Great conversation and great people, thanks for the show!

Wow...Braian became adult by look 😉

Great stuff thanks for sharing all

Bryan Cantrill is probably the only person that I wholeheartedly look up to both in tech and in general.

Bryan Cantrill is probably one of the few people that wholeheartedly I look up to both in tech and in general.

Chapters please. Thanks.

Great episode! Only issue was your audio was almost all in left-ear, pretty distracting :(

Babe wake up! a new episode just dropped 🍿

Fantastic interview questions guys!

This is gold !

Amazing interview

I really want to know if Oxide will be here in 30+ years and becomes one of those great tech companies

Amazing conversation and great questions as always. I found you from the first episode with Bryan, awesome surprise to have Steve on this one. Hope you get them back soon and or maybe some of their other awesome people!

It is always refreshing to listen to Bryan and having Steve at the same time made it even better. Thanks for creating this. A fix request, in auto generated subtitles in most place Joyent has got transcribed as "Joint" or similar variants. And that gives a totally new meaning to the whole thing! 😀

The inspirational hype music that finally ends around 2:30 almost made me close out before you got to the content.

Bryan's take on paulg here is so relatable. I really appreciate that there are people out there who are smart and opinionated and yet who I disagree with, in some sense fundamentally, on some topics. I bet Brian and I could go rounds on actors vs CSP and I still wouldn't make it into that "qualified respect" box.

Operating systems and kernel engineering is the next to last stop (the last being hardware design). I can not comprehend how anybody would not aspire to getting that good as to be able to do those things (including hardware design!) How is that not every true computer person's dream?!?!?

It's rare to see interviewers that know how to ask good questions. This episode is gold.

Glad to stumble upon this conversation today ❤ Kelsey was super kind to speak with me back in 2020 when I was new to SRE and the cloud-native landscape. I didn’t even have my podcast at the time. I took a break from tech last Sept (calling it a partial retirement for now 😂) to follow my long-awaited life tangents that are teaching me what to learn and unlearn. Really happy to see Kelsey speak again. Thank you 🙏