im moving my stuff as we speak,
if those were just vms for services, no biggie
but if you run business thats tied to repackaging compute - well, yeah there are better options
219 karma · joined December 6, 2012
im sry, did i miss the part on how you can hack someone by simply sending them the link? is the web seriously that bad? honestly at least do full job and create some phishing website that goes along, otherwise wtf?
But you are clojure engineer(by trade). Kinda weird, cause on the other end, I myself do backend in clojure but in frontend i much prefer js/svelte. (cljs tooling is making me cry, almost always)
.. the thing is, we have not dealt with llm much, it's hard to say what can be considered open source llm just yet, so we use that as metaphore for now
I think we adjusted, but we just apply broader context. No one would recommend going all-in on FTX with your life savings. Likely no one involved is really poor and this affected his life strongly. People lost money for their retirement retro vehicle, it's fairly easy to adjust to that.
This not saying it's ok, but its annoyance in effects mostly or should be(I think likely there are may be people, who put too much money, but then again internet financial advisory board all appears and says: HA! Told ya not to do it!).
Perhaps dignity is seeking value that is scalable to entire humanity, hm? Isn't it dignified? If we cannot find value for fellow humans we can relax I guess?
> We have outsourced art to computers, so people who don't understand art
Ok, I am seeing a lot of bad faith arguments. Just because somebody doesn't have time to learn to craft and cruft of some very tedious discipline, doesn't really mean they don't understand it.
You don't need to throw rocks all day to get an understanding of physics. But people had to do it in the past, now we calculate, simulate and then just do one throw.
Also I am speaking as part time designer/artist. New AI tools are great, I could achieve similar results, but difficult bets were made, when i started. Now I just roll in images, some of them finetuned on my work, some are mix, some are completely nuanced. Many artists after initial sobbing(I was enthusiastic from getgo) started to learn and explore this tools.
People bring amazing things to life, that just were impossible with their limited resources (take a look, anime done with very small crew https://www.youtube.com/watch?v=tWZOEFvczzA).
I much dislike the mindset of "they took our jobs".
It failed, yes. But it succeeded in great many places, eastern europe, large part of south east asia, some african countries.
Russia is just a sorry ass loser, their country is in downward spiral and needs to exert power over its sphere of influence, thing is that countries in that sphere some time ago decided they dont really want to be aligned. Thus Russia decided to punish Ukraine otherwise the rest will also fall out of sphere (ironically I think they accelerated that process even more).
As for weapons, well its a market situation, sometimes perhaps having non-us weapon systems is actually better.
While observing friction you get better idea and can consider actual cost of techdebt. There are many situation where you may care less for techdebt, you have a dev script that looks bad, but you likely just gonna replace it fully when time is right.
Yet friction is painful as it slows you. Debt analogy perhaps becomes more viable now, with high interest rates. This is what tech debt is, its not debt on 0% interest rates, its debt in high interest rate scenario, everything slows down.
I can assure it would take me a week to fix a lot of problems aka memes coming from this. System prompt can be first place to start fixing, second small model or some another background call for just keeping conversation sane and within certain topic / rules (sort of like more independent conversation observer process to offload from original context), third you can finetune the model to have a lot of this baked and so on.
While this example is premature implementation, they are spearheading something and will learn from this experience and perhaps construct a better one.
pluggable llms is not something most people look in a product - its rare case of enterprises that are afraid of everything atm, also finetuning should be considered for costs not really range (i have not seen examples of finetuning that couldnt be achieved via prompting in llms, if someone has any, would be great to hear)
selfdriving cars are actually going for e2e systems now, there is still infra/architecture and perhaps even different models that comm with each other, but regardless system behaves as e2e solution that learns internal hierarchies of all the signals/tokens
large supersmart llms is where the game is currently at, they will get smaller, faster and more efficient we already are on this curve - if you're building llms i think you will fall behind
outer leafs of your org fueled by ai - while yes, this model is good for already established companies yet its also super important to think "ai first", ai much like any prev technology can be attached to legacy solutions making them better or can be shaped into a completely new unimaginable before solution... i wouldnt give vanilla advice that discourages the latter
Not to dunk on China particularly here, I do/did enjoy a lot of hq chinese products.