mooneater
I migrated to them in 2005 (from mysql) and was amazed by how much happier I was. And it never cost me a dollar.
I loved it so much I visited its authors in Victoria and bought consulting from them. They are amazing folks.
And those are excellent ways to visualize these types of objects.
He built knowledge graphs.
Alternative would be: clone the repo, do your changes, run gitk to be sure.
Which has advantage that result looks exactly the same as it will in production (no new diagram type b/c only using git and gitk), with zero risk that sim differs from reality.
ChatGPT itself says all kinds of things; journalists using it as a source are either badly uninformed or purposely misleading readers.
Also, being older we have a lot more on our mind. So methods to help organize and focus are more useful than ever to me now. Take notes, keep logs, etc.
"Imagine a social network where you only need, in fact you are only allowed, one friend. Imaging a messaging service so personal, so patient, and yes, so damned meaningful, that it only transmits one single character, to your one friend, each day. "
http://randomfeelsgood.blogspot.com/2014/02/announcing-karac...
They taught it separate skills. When a situation arises, the skills (which you could almost consider sub-agents) compete to decide who is most likely to be relevant here. Then that skill takes over for a bit.
They also have a version called "Inner Monologue" in which the different parts "talk to each other" in the sense of collaboratively creating a single inner monologue, allowing for reactiveness/closed loop behaviour.
I interviewed 2 authors of SayCan/Inner Monologue here: https://podcasts.apple.com/us/podcast/karol-hausman-and-fei-...
Any examples of larger diagrams (1000+s of nodes) and how does that perform in layout?
Lets not forget that is only necessary because the automotive industry is barbaric to begin with. Let's recall why trains dont require advanced crash barrier design like this.
The sound of his last couple sentences were in my recent memory (timestamped?), but it seems I hadn't fully parsed them yet. When he asked, I took a brief moment to parse them, then to his disappointment I repeated them verbatim to him.
I'll never forget the way my brain processed delayed audio that day!
I dont disagree, but my take is relying on public changing its behavior is not exactly a hopeful strategy.
It is still statistical. You still want to predict a distribution over expected next token.
However, the function needed to estimate the likely next tokens are not simple max over enumerated next tokens like in a language model. It's more like a transition model in reinforcement learning.
TIL Donald Knuth operates a bit like GPT-3 but for research paper narrative.
I'd very much love to know exactly what Knuth considers the "fundamental ideas of algebra"!
Unnecessarily complicated is the default. Choose the elegant thing wherever possible (its not always possible, but often is).
Actively avoid complexity, or it will shackle you.