u/hyperactivedog

You (or another company) can run those on a server farm. It doesn’t have to be local

My comment was more about the pricing for frontier labs

They’re open weight. Not much stops people or companies from downloading them.
Though the Chinese companies are good at getting them to run efficiently

In ten years the same compute will be 3-10x cheaper though.

At this point the Chinese models are good enough for a lot of stuff and actually seem to be profitable.

The only way I can see forward for the main us companies is a 10x cost reduction and a 100x increase in use without much of a pricing hit.

And it’s trivial for me to change a model toggle on a ui.

Some bits
1) with inflation it’s more like $500, not $300

Prices are a bit off right now but this time a year ago a bit over $500ish got you a 5070 or 9070. Both with far better coolers and far better engineering going into them.

If I have anything to complain about it’s that I don’t feel like games are all that much better than they were 15 years ago. In some ways they’re worse because there’s a lot of low effort slop and not as much curation

Yeah.
One fun but is I’ve learned more from work than I did in my graduate degree program. My rate of learning actually slowed down during grad school. And I finished that program with honors. And it had an 8% acceptance rate.

Education should be more about culture and a lifetime of learning than paying an administrator for a piece of paper.

Who buys a $10,000 card to play at 720p?

Gaming is gpu limited first and foremost, then a mix of cpu and memory.

Hard to really shine on the cpu side when in many titles there’s no big gap between a 9950x3d2 and a 3600 bought on sale for $100ish 6 years ago

They both use tsmc

Technicians aren’t the same as engineers or architects.

They can be good at what they do without understanding the big picture, fine details or where things are going.

And things change every few years.

For being pro technology and pro learning and anti over charging poor people for a degree that doesn't help them?

I graduated from an "elite" university with honors while working full time. I was a scholarship kid.

I actually use the ai to learn stuff for work that needs to work in a live production environment. The measurement system that assess my work actually has to demonstrate profitability in the real world.

If you aren't smart enough to spot ai errors that says more about you than ai. We've had bad information in books for thousands of years this isn't any different

Have you done this with a more recent model? There are very real improvements in even the last 6 months.

I want to emphasize though I was focusing more on fact acquisition (could you get through a set of 6 hours of interviews with experts) more so than writing.

Quizlet got obsoleted a year ago

I have a graduate degree from an "elite" university.
I thoroughly believe that autodidact education should be life long.

Formal credentialing is only a sub set of that and for those of modest means going into low paying vocations it's sensible to be cost sensitive.

No it's to get cheaper education (for lower paying less prestige sensitive vocations) and to do continuous learning for the next 50 years.

The person and their values matter most in the long run.

Note that I was focused on fact acquisition.

As far as your essay example

Skill issue.
You still have to know stuff. But hero prompting breaks down quickly.

Define a fact set in an md
Make an outline
Define evaluation criteria
Partition out the work to agents by section
Have multiple review passes
Ensure that you're getting grilled on gating decisions and key issues and that those decisions end up recorded

You'll still have to review final output but writing a paper that has to appeal to the biases and prejudices of a reviewer (and making surgical tweaks) is easier than refactoring a million lines of code in something that has to run reliably on a half billion machines. Ideally the time spent not writing filler gets shifted to thinking deeply. Heck you might end up just skimming through output a few times and then just doing a manual rewrite.

I'm biased though. I "write" code. I also got a 98th percentile GRE writing score without having taken that many writing courses in undergrad and doing 0 practice essays. The only person I met who I know did better was doing a PhD in English at Harvard at the time.

Say some level any supply helps.
5 guys crammed in a 5 bedroom house free up two apartments.

There's overlap but there's differences too

"hope you get rich" is literally a saying a Chinese.
These companies are selling to the highest bidder.

1. Some actually offer bachelor degrees
   
2. You can cut three cost of an undergrad degree by nearly half by transferring from one to a 4 year university

Probably.
In theory people should be life long learners and there's tons of free and cheap stuff online.

$130k in tuition cost for an MSW from Columbia is a lot though.

I've seen it do decent things with coding drills, casual inference, machine learning, neuroscience and history.

This is for drilling the basics.
The same things it was trash at 3-4 years ago but it's been good for at least a year.

I struggle to imagine a single lower div subject that you can't essentially cram through during a single caffeine feuled weekend - though continuous exposure helps

Not every program deserves to exist. Formal education is an expensive tool and there should be meaningful and purpose and thought going into it's pursuit.

People can still join book clubs and have chatgpt grill them with MC questions

Loosely where the National Bureau of Economic Research does which is referenced in this article - unlimited loans prop up shitty programs.

No one needs to take out $150k for a masters in social work which as a degree funnels people into a relatively low paying career.

If NYU or Wash U can't price like an online program from Sacramento State, those programs need to get better at managing a budget