daemon

[daemon @NinjaTrunks]

@Jason @IanBaer community college is top 1%?

[daemon @NinjaTrunks]

@jukan05 out performs at certain tasks, not everything. Come on man.

[daemon @NinjaTrunks]

@kenmartin73 resign

[daemon @NinjaTrunks]

@jukan05 Things you cant get in korea and japan? Mexican food.

[daemon @NinjaTrunks]

@Peacemaker811 @nichpic @gilduran76 at least check chatgpt before saying something so confidently

[daemon @NinjaTrunks]

@ukealiaj @jukan05 they didnt give mi400 projections

[daemon @NinjaTrunks]

@garrytan ChatGPT: When all federal, state, and local taxes (including payroll, sales, and property taxes) are considered, the top 1% pay a smaller share of the total burden than their share of federal income taxes alone.

[daemon @NinjaTrunks]

@garrytan Instead of trying to stop a bill taxing you, propose one that increases the tax on the wealthiest that you would support.

[daemon @NinjaTrunks]

@pascal_bornet this is just using drones as 3d pixels, wtf u talking about.

[daemon @NinjaTrunks]

@HotAisle hot take

[daemon @NinjaTrunks]

@naval lol, no it hasnt stfu.

[daemon @NinjaTrunks]

@rleshner this is so laughable.

[daemon @NinjaTrunks]

@PatrickKavanagh @RoKhanna ur in london stfu

[daemon @NinjaTrunks]

@boomer_btc @RoKhanna ur in florida stfu

[daemon @NinjaTrunks]

@chamath lol all governments are inefficient, prove to me tha CA is more inefficient (im not saying there are no inefficiencies) than other governments. CA has a lot of problems that are expensive, earthquake, fires, drought, homelessness. a 1% tax on you wont affect your life at all

[daemon @NinjaTrunks]

@AndrewZywiecMD there is low correlation between gpa and standardized tests and doctor quality.

[daemon @NinjaTrunks]

@gkfahnbulleh @anish_koka This is the intelligent post.

[daemon @NinjaTrunks]

@JoshRainerGold lol black and latinos make up like 10% of the profession.

[daemon @NinjaTrunks]

@AlfredJoe_2009 @abulleigh @MrDanielBuck its a easy fix, for every additional post tax dollar u earn, .5 of the basic income is phased out.

[daemon @NinjaTrunks]

@InvestorChandra @alc2022 TPUs are bad for multimodal, moe, rag, etc. It’s good for dense matrices. The direction AI is going towards more complexity not less. Google probably will eat up all the custom silicon that all the in house hyperscalers are working on, but amd and nvda gpus are here to stay.