79,949 karma · joined March 24, 2007
I used to run reddit.com's servers, then I ran Site Reliability at Netflix (and invented Chaos Engineering), then I worked on making Alexa faster and smarter, and then I helped build a GPU cloud.
I enjoy technology, hanging out with my daughter and son, advising and investing in startups, and some other stuff.
You can reach me at {anything}@jedberg.net, and also send me any great investment leads there!
Or you can book at meeting with me (but please tell me why in meeting request!): https://calendly.com/dbos-ceo/30min
[ my public key: https://keybase.io/jedberg; my proof: https://keybase.io/jedberg/sigs/f2MDMfeLg---Sa3dsAQASZXctDSSz4GutwD8oOnuUzE ]
(This is part of why I no longer help build them, because when I asked about reducing noise and using green power I was laughed at).
The water is mostly part of a closed system. Sure, you need a lot to build one, but once it's running it's pretty water efficient. The lack of green power is a problem, but as the article points out, you now have a large customer subsidizing the base cost of delivery, since they are only one delivery point, and they are financing new sources of power, which if properly regulated would be green power.
The noise is an issue, I will admit that. As is the fact that a lot of the power is coming from non-green sources. But the government could easily fix these problems with regulations that apply broadly, not just to datacenters.
The important part is that they can't just close your account and keep everything.
This is why PayPal for the longest time made it really clear that "we are not a bank". So that they wouldn't be subject to those regulations and could suspend accounts and keep the money.
The ones that sound like LLMs tend to be the ones that were well researched and spent more time on, not the off the cuff stuff, which is most of what I write. So it would take me a while to find something like that.
But you're welcome to dive into my reddit and HN history, or all my blog posts on the wayback machine if you want to look for one. :)
Today Pangram says it is 100% human, which is correct. But yet I got multiple DMs when I posted it 8 months ago saying "stop posting AI slop!" in response to that comment. At the time, Pangram marked it as 50% AI.
So to Pangram's credit, they got better.
I’ve been accused of being an LLM multiple times here on HN too. I know you have no way to know for sure other than trusting that I’m not using an LLM to write. But it’s pretty frustrating that people jump right to LLM accusations.
I posted here on HN but it got removed.
Edit: It was removed. Here is a gist: https://gist.github.com/jedberg/e24124e577c0da1c8445c22798eb...
I only tested it with the two pieces, but was not impressed.
Cool! What model does it use now? Enterprises will definitely want to know.
And the other big question: Why not just use Claude or Codex (via CLI on a desktop or droplet)?
Are you able to use multiple models? Or I guess the first question is, what model(s) are you using? At this point, many enterprises care so that should be front and center, especially if you're using models hosted in China, because a lot of non-Chinese companies care about that.
You mention some things about unique ways to store memory. Do you have any data or use cases on how that improves performance? If you do, you should get those on your website too.
I'm not sure you have a very strong answer to "Why not just run Claude or Codex on my laptop?" Sure, you provide compute, but so do they, and most enterprises and even regular people are getting desktops/droplets to run their agents now because of this problem. This is kind of solved already.
Also there is a small nit with your website. The graphic next to "Proactively gets things done for you" gets bigger and smaller, so if you're trying to read anything below that, it keeps jumping up and down.
- what is going well,
- what is not going well
-what do hope that I will fix
-what should I do
-what should I not do
I put those question in the agenda for the meeting invite so they could come prepared. Then we took the conversation from there.
I put it all into a google doc, then synthesized it into summary that hid the identities of the people who said it and used it as my guide for the first few months.
Hopefully since it's so old, the copyright holders are cool about it.
ps. Hi Seth, good to see you around!
If you know anyone who has worked at one his companies, especially at a high level, you would know that they made those achievements despite his directions. The SpaceX team was ecstatic when he bought Twitter, because it meant he would be around a lot less.
The policy at SpaceX was basically avoid Elon, and if you had to talk to him, just agree to whatever he said and then not do it. He almost always forgot by the next time he talked to you, and if he didn't, you just said it was really hard.
Since he doesn't understand rocket engineering, it was pretty easy to get away with that.
And the people who worked with him at PayPal would tell you that he knows nothing about software engineering and they basically threw away everything he wrote, but they had to be nice because he had a lot of stock after his company was acquired by PayPal but called a merger.
Elon's main skill is marketing himself. He next best skill is marketing his companies' jobs to talented people and getting them to agree to work there.
That is certainly a critical skill for a CEO, but he is not a great engineer.
Then they would pitch in front of investors with both. Sometimes the ideas got funded and the kids would actually keep working on them.
Nothing until they start failing exams and maybe seeing the error of their ways. My suggestions wasn't for you, it was for the smart student who wants to use AI to enhance their learning but not have it do all the work.
But cheating isn't new. People have been cheating in school for centuries. It's easier now, but the consequences were always the same. At some point the chickens come home to roost and you pay the piper.