Email: tomrod.ycombinator.surreal078@passinbox.com
- Not all AI algorithms are neural networks. So from the get go, you are conflating terms to propose an underspecified and improperly esoteric worldview.
We invented AI. That the structure of a neuron inspired one subsystem architecture framework offers nothing essentialist or sacrosanct to the whole enterprise.
Sticks were our first clubs, but we don't limit our design and engineering for tools or weapons to the nature of trees. We extract good principles and invent the form as well as, often, the function.
- I disagree strongly. AI came from smart engineering and design applied to algorithms developed for intellectual curiosity. It was absolutely invented.
- Ooh. I'll check it out.
- I make a ton of progress with ipython and vim/st3/other text editor with a vertical split. I sometimes screen the terminal in two if I want to run external elements.
We seem to keep iterating back to that modality, but honestly, it's just nice. VS Code starts there but then Java language servers and broken Python language servers and rust language servers and exploding npm dependencies and supply chain attacks just muck everything up.
Simple simple simple is so refreshing.
- This can become unmanageable if you sign up for more than a few things.
- Proton allows you to alias. But a lot of places prevent aliases, which is silly. I shouldn't have to give an email to demo your chatbot.
- All academic work is critiqued. It doesn't make it wrong though. Your notion of fluidity is specifically what original poster missed entirely.
- No, really. You could make a city be defended but there was no great way to make a nation state before gunpowder without natural barriers in place.
Further, trade goods are found over large distances, which doesn't work over large distances and many alleged single-tribe-lands unless the good is extremely valuable and defensible from theft.
Your claim that great powers style organization is specifically refuted.
- 100%
- Indeed. "Spectral" describes the collection of eigenvalues!
- What, your ancestors between 600k years ago up to 150 years ago are a joke to you? Human history began with European Great Powers?
Göbekli tepe easily refutes your isolationism, as does stone- and bronze-age globalism.
- I would be interested in learning about the logistical details. Calorie requirements? Sleeping? Costs? etc.
A blog or a book format would make for killer reading!
- > The paternalistic state does not allow you autonomy over your own body.
Evidence to the contrary - fishing during free time.
- Hilarious and literally my same thought.
I think it is _fascinating_ how we can modulate these amazing biological machines to do all kinds of tricks.
I wish we had a better effect discovery process, something akin to alphafold where the space can be explored and defined beyond wait-and-see.
- I wasn't speaking to this interaction, and my point is genuine. Simonw has done fantastic work in the LLM space
- Hell, I would consider myself graced that simonw, yes, THAT simonw, the LLM whisperer, took time out of his busy schedule to send me to a discussion I might have expressed interest in.
- Eigenvector/eigenvalues: direction and amount of stretch a matrix pushes a basis vector.
- I was projecting as classes, taken across 2 to 3 semesters.
You can gloss the basics pretty quickly from things like Kahn academy and other sources.
Knowing Linalg doesn't guarantee understanding modern ML, but if you then go read seminal papers like Attention is All You Need you have a baseline to dig deeper.
- Disclaimer: working and occasionally researching in the space.
The first paragraph is clear linear algebra terminology, the second looked like deeper subfield specific jargon and I was about to ask for a citation as the words definitely are real but the claim sounded hyperspecific and unfamiliar.
I figure a person needs 12 to 18 months of linear algebra, enough to work through Horn and Johnson's "Matrix Analysis" or the more bespoke volumes from Jeffrey Humpheries to get the math behind ML. Not necessarily to use AI/ML as a tech, which really can benefit from the grind towards commodification, but to be able to parse the technical side of about 90 to 95 percent of conference papers.
GDP is known to be an imperfect measure, especially for capturing cottage industry and due to the distribution effect you described, but it's not horrible to start with.