>On the bright side? Maybe watermarks can help AI stop training on AI-generated text.
 
You're living in 2023 if you think any company worth their salt is still scraping the live internet for quality content. Everyone has their own curated library already Nobody has been scraping en masse for at least two years, unless there's a blog article about bleeding edge science research or something. Even then they will probably just scrape the scientific paper itself, rather than coverage of it.

my council is tensor.
do not cross a river with one on your back

this merger is a clear example of a violation of this law

take out the trash

I've been on google fi for... I dunno, probably at least a decade now? Maybe more. They just mail me a phone, I turn it on, and it figures everything out. I get a new phone ever 2 years or so. I couldn't tell you what the inside of a phone store looks like because I've never needed to go into one.

grift.
an established government project that was slashed.
a limited usage project feeding from government funding.
this project has an elliptical office scat stain smell.

>the AI bubble is going to burst and
 
Kimi K3 docs and tooling, and weights, dropped this morning. Kimi is selling K3 tokens at $3/million tokens and if you're running it using GB300 gpu racks @ $6 million each... the math mostly checks out. Anthropic is selling what some people call roughly equivalent Fable tokens at $50/million each. I don't think AI is going anywhere, but valuation of companies like Anthropic, OpenAI in the $500b-$1T range isn't sustainable when "open" models sell tokens at a profit at $3/million tokens.
 
Open Weight models have been catching up to SOTA for a while but the lead OpenAI and Anthropic have, has been eroding quite rapidly and their ability to charge a premium for their product may not continue indefinitely at this point.
 
Again I'm not saying AI isn't useful, just that the bubble is largely based on valuation and Kimi K3 is.... well positioned to pop that bubble.

boards.
how were they passed.
residency.
how was proficiency evaluated

curious.
what is s t p.
when z equals any lagrange point

curious.
i_ do not see names.
who are the heroes of this

we're about to buy a $2400 m4 pro mac mini to grind away at a useful but low-medium priority task in perpetuity using one of the qwen 3.6 models. The ROI vs haiku api cost is less than 5 months. SOTA models are cool but a quantized 30B class model can do most any batched work if structured carefully, and you have a fairly flexible failure budget

The big issue is GDDR6 memory which is pretty new and there's not a ton of capacity already, and it's all been bought out through the end of 2028. Plants take 3 years to come online and are expensive (Read: risky) to build if the demand falls off
 
I would love to be able to buy a 4TB GDDR7 machine and never have to use cloud services again, but it's not happening before 2035

Move further south, I guess. The rest of the country is much warmer, more livable, and doesn't freeze solid for three months out of the year. The fact that you have to change your clocks twice a year to cope with it isn't my problem.

Given your user ID # I think you know the reason(s)

It is like, $20 a month and far, far cheaper than cable or whatever. I don't like paying for services, but I don't like dealing with ads even more. If there's an option for an ad-free experience, I will always take that option.