Hacker News new | past | comments | ask | show | jobs | submit | ocean_moist's comments login

Title just sounds better that way.

The best part about Purdue is that I can use “top CS school” and “random state school” depending on which sounds better.


Better word is “bay area”.


Will keep this in mind for the future.


Yeah, almost necessary at a high level (and online), however I play against fish most of the time. I am also 18 and lack connections/capital/time to enter high level games.

I would say markets are approx. zero-sum on small time-scales. And low-beta alpha is better sourced from treating the market as zero-sum. Short-term price movements are primarily driven by the redistribution of wealth between market participants rather than by the creation of new fundamental value, making strategic positioning against other traders more effective for generating uncorrelated returns.


At least they seeded!


Fun fact: Professional gamers (esport players) have reaction times around 150ms to 170ms. 100ms is more or less impossible.


Maybe I just don’t understand the article but I really have 0 clue how they go about making their conclusions and really don’t understand what they are saying.

I think the 5 issues they provide under “Cognitive Architectures” are severely underspecified to the point where they really don’t _mean_ anything. Because the issues are so underspeficifed I don’t know how their proposed solution solves their proposed problems. If I understand it correctly, they just want agents (Assistants/Agents) with user profiles (Sims) on an app store? I’m pretty sure this already exists on the ChatGPT store. (sims==memories/user profiles, agents==tools/plugins, assistants==chat interface)

This whole thing is so broad and full of academic (pejorative) platitudes that it’s practically meaningless to me. And of course although completely unrelated they through a reference into symbolic systems. Academic theater.


This is publishing for the sake of publishing.


The general negativity toward agents makes it read like the problem section of a research proposal ("X isn't good enough, we're going to develop solution Y").


That’s exactly what I thought.


It's a 4-page paper trying to give a summary of 40+ years of research on AI.

Of course it's going to be vague and presumptuous. It's more of a high-level executive summary for tech-adjacent folks than an actual research paper.


Yeah training data is the major issue. You can try programmatically brute-forcing/generating random well-formed (compilable) data and training on that. Then heuristically pick exogenous programs from the output of the trained model to train a new "generation". The issue is in the possibility of the algorithm generating "exogenous" program and "heuristically" picking them out.


This is actually a common pattern called "model distilling".[0]

[0] https://platform.openai.com/docs/guides/distillation


The github social media features are so weird I get around 10 follow requests per week from random people who follow >2k people something off happening there.


I have the same thing happen to me often. Sometimes I get a notification on my GitHub homepage that someone followed me a day or so ago, and when I click to view their profile it seems that they have already unfollowed me. For example, This guy did it, and he has 6K+ followers and is only following ~200: https://github.com/NobleMajo. It seems weird that he would follow me to unfollow me right away. I have a feeling that these accounts do this intentionally to harvest followers by prompting Github to show a ton of different people that he is following them in order to have them follow back in exchange. I think most people will follow someone back who follows them without really thinking about it. In my case I investigated who it was who followed me and realized he isn't actually following me and is probably harvesting followers. Why would someone waste time out of their life to do this? Who knows. Probably want to feel special or stand out from other people without doing anything to earn it.


Join us for AI Startup School this June 16-17 in San Francisco!

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: