HN user
An approach that's worked fairly well is asking Codex to summarize mistakes made in a session use the lessons learned to modify the AGENTS.md file for future agents to avoid similar errors. It also helps to audit the AGENTS.md file every once in a while to clean up/compact instructions
Having described what I am worried about, let’s move on to who. I am worried about entities who have the most access to AI, who are starting from a position of the most political power, or who have an existing history of repression. In order of severity, I am worried about:
For how much this essay is being celebrated on Twitter, it's astounding how explicitly this section (The odious apparatus) decries China yet glosses over the US
A coalition of the US and its democratic allies, if it achieved predominance in powerful AI, would be in a position to not only defend itself against autocracies, but contain them and limit their AI totalitarian abuses.
Sure, how about a thought on repressing its own populace with AI? I know the very next paragraph tries to cover this, but it all feels stuck in 2016 political discourse ignorant of the stench of rot and absence of integrity in American politics. This is especially ironic considering he calls this out as a risk later on: "if there is such a huge concentration of wealth that a small group of people effectively controls government policy with their influence, and ordinary citizens have no influence because they lack economic leverage"
----
The proactive thoughts in the Player Piano section are quite refreshing though. Hopefully other frontier companies follow suit
Past HN discussions of the Ironies of Automation (Bainbridge): https://news.ycombinator.com/item?id=41800036
why should they have to share those private APIs?
most common language a computer engineer
Depends on your definition of a computer engineer. Dealing with strings in Python vs. dealing with character arrays in C is a world of a difference.
The decision to use Python feels like a solid compromise between giving the students a stair step to applied computer science work, while stripping away the cruft and language-specifics that would distract from implementing the more theoretical learning material
more like privacy as an excuse for crippled models
as opposed to putting it on their store as people have done for 10+ years?
Mermaid looks pretty for most applications and is quite easy to work with, but it starts to feel limited once you start playing with sequence diagrams. Had to bit the bullet and go with PlantUML instead for the time being, but rooting for Mermaid to gain a fuller feature set so I can fully move to it
This got me through my electrical engineering degree and studying for EE interviews. Still use it whenever I need to brush up on op-amp math
what's the incentive not to speed if it only costs less than 1% of your income/net worth?
the risk to everyone else around you is the same regardless of how much you make
How does this compare to SendWave?
Also, what's your strategy around combating fraud?
curious, why did you switch, and what exactly do you do now?
I'm curious, what big pluses have you found on Gemini vs. Coinbase?
Hm, wonder if this reasoning explains the bump in Ethereum, even though it's more legit than some of the other alt coins
I'd love to see this data but for men vs women
In my experience, it’s harder to have any visible growth in a startup because well first, what do you grow to? There is no clear hierarchy, no promotion paths. The “no titles” thing is great in theory but unless you have a naturally dominating personality, it likely won't work for you.
That's because you're basing growth on titles instead of actual capability.
curious what your equity was?
I'm looking at joining a seed-stage startup straight out of college as #8. What would be a good range for equity?
Why do the controllers have rings?