rpicard

Are you referring to GitHub policies? I haven’t seen issues like that from people publishing security tools before.

Metasploit is one example: https://github.com/rapid7/metasploit-framework

This is such a great name and domain for this purpose.

I don’t think I’d like using a third party server for this, but a skill that just handles it locally or something would be useful.

In my experience this is not representative of most fintechs. Of course there are both cases of real intentional noncompliance, and accidental, but by and large it seems like everyone’s trying to innovate within the law.

I’d love if they supported an SSH certificate CA for commit signing verification though.

This is what confuses me about tech sales too. Why do I always get a discount for buying right at the end of the quarter? Seems like you could just get ahead on the next one.

I’ve listened to a few of these. Agree it’s also really well done.

Oh that’s funny. Yes you’re right.

He has actually mentioned the History of English before, but I’ve never listened to it. Great to hear though!

I think there’s a numbering difference. He went back and re did a bunch of earlier ones.

I’m listening on Apple Podcasts. Season 5 episode 5 “Printin and Perkin” if it helps.

I’m just ahead of you on episode 200! Just getting into the rise of printing in English.

I absolutely agree. This has become my comfort podcast when I just want to decompress.

I’ve been happy with hey.com. No plans on switching.

Fair! I’ve been surprised in some cases. I’m thinking specifically of a handful of conversations I was in or around during the Vegas cons.

I might also be hyper sensitive to the cynicism. It tends to bug me more than it probably should.

No clue, and $1.

My car can drive itself today.

I’ve noticed a strong negative streak in the security community around LLMs. Lots of comments about how they’ll just generate more vulnerabilities, “junk code”, etc.

It seems very short sighted.

I think of it more like self driving cars. I expect the error rate to quickly become lower than humans.

Maybe in a couple of years we’ll consider it irresponsible not to write security and safety critical code with frontier LLMs.

I’m not affiliated, but this made me think of this AI for COBOL startup: https://www.cobolcopilot.com/

For some reason I think we’re all drawn to the idea of working with an older language. I wonder why!

This would be a cool place for LLMs to store a summary of the prompts used to generate the code in order to make it easier for other LLMs and humans to pick up where they left off.

I’m pretty sure this is an AI bot of some kind, especially after reviewing its history.

My wife makes sourdough discard cookies and they’re amazing.

Funny enough I read it as Wiz and was just as confused.

Good advice thank you. Makes me think maybe a slow charging set up by the bed and a fast charger down in the living room / kitchen / for travel.

Then maybe another slow charger for all those miscellaneous things around the house.

I have so many different chargers, brands, cables, and adapters and honestly have never checked what any are capable of.

I’d like to just buy 10 of a given charger, maybe with a couple of adapters for different devices.

What’s the best option today?

This would make a lot of sense for both sides I think. Owning the part of the stack that decides where the inference requests go is like Google owning the browser.

The recent Acquired episode on Rolex is a great peak into the world of luxury Swiss watches: https://www.acquired.fm/episodes/rolex

What I love about it all is that whatever arguments are made for or against these sorts of things, I think people are just into it because it’s fun.

Nightmare House was a super fun mod that I found at some point.

I don’t remember where or how, but it scared the heck out of me.

Somehow I’d never heard of the GitHub suggestions feature. That’s very cool.

I usually just add a standard set of numbers and special characters at the end of an otherwise secure password to appease the complexity gods.

It has really stuck with me since I read it.

I really enjoyed this read. Great connections.

I’m also impressed at how much suffering was saved by that E39 error instead of a backed up laundry room full of waste water.

Washing machines are cool.

A couple of other good perspectives on software estimation:

https://world.hey.com/dhh/software-estimates-have-never-work...

https://softwareforgood.com/estimates-lies/

I’ve used Deel EOR in the US and Argentina. So far so good on all counts!

Just one data point, but we’ll only look at changing things up if we get enough people that we can get a good health plan directly to save on some of the EOR cost domestically at least.

I’m glad to hear they were helpful! David Goggins two books are great as well, and probably in line with your current themes. Can’t Hurt Me and Never Finished. Highly recommend the audiobooks for those too.