1,064 karma · joined April 9, 2019
The US is under such an enormous disinformation campaign. I don't know how we can immunize people against the BS they are assaulted with everyday. Too many people benefit from that gullibility and ignorance.
He would then spend months in Florida recovering from lead poisoning.
He knew, and he didn't care.
Large vehicles are killing people, even with sober drivers and nobody is being held responsible. This is well investigated at this point. Only recently are we finally getting some traction on the awareness front of how bad it is getting.
And finally, LLMs also lack the emotional or human context for why I am doing the specific thing I am doing. Otherwise it will revert to the mode/mean in everything it does. This is obvious, btw: LLMs are generative but they are trained on and largely produce median results if given median inputs. To get results that are "outside the mean/median/average/mode", you need to provide it sufficient context, tokens and input to guide it towards a path that generates higher quality output.
Once you stop approaching LLMs like a machine, and view them more like pseudo-random walks across the compressed set of human written knowledge, it is a little clearer (or at least was to me) how to better write to them.
And that price will only get cheaper, as both the US and China continue ramping up production.
Nuclear? It would need to reduce its costs by 70% to get where solar is now. And then do it again to be competitive with where solar+storage will be in 10 years.
Nuclear is economically a dead technology.
I almost couldn't believe we are still talking about the same causes of alzheimers 16 years later.
If they actually believe this stuff is so dangerous, they should shut down their company, and use their fortune to buy up/shut down all the others.
But of course they don't actually believe that. It is just marketing hype.
You can't be out there selling doomsday devices, saying "maybe we should slow down development of bigger doomsday devices", while *still selling doomsday devices". That is just blatant hypocrisy. Eating cake and having it, too. Oxymoron.
No, they don't actually believe this. Not in a meaningful capacity.
(FWIW, I don't believe it, either. I think we should continue developing the technology).
Which have actually destroyed our environment for over a century. With only a slight bend towards slowing.
And I assure you. If you wanna argue "those are useful", not all of those things are useful, as useful as they could be, as efficient as they could be, or could be replaced today if the will was there with better options.
Data centers are a boogeyman and only cared about by Americans and some Europeans. The other 6 billion people in the world really dont think they are bad, nor have such strong feelings towards AI.
And I bet they feel a lot more animosity towards the military industrial complex and the oil empire financing it destroying our planet.
No, it is impossible for it to have seen this combination of things.
It routinely produces, suggests, and correctly implements novel things that had not existed.
You can see this yourself by learning how LLMs work, or anecdotally using these tools.
Whereas in larger technology firms, yes that happens to some degree, but only with the highest level specialists such as PEs, fellows, etc.
They are already so wildly profitable and valuable by the simple nature of computing itself: it scales second only to money with regards to compounding effects. Once you have software someone can use, it scales near infinitely to more users, thus value is extracted from the work of a single specialist for all time. No need to complicate it with trying to abstract work juniors can do (and fail) and then have seniors correct. What would they be doing in non-extractive firms?
Las Vegas is a 100% closed loop system. All grey water is recycled back into Lake Mead fur reuse.
Modern sewage treatment is a modern miracle.
I care about the environment and I think we can keep earthbound systems, and also reduce their impact. Making assumptions about the feasibility of launch and the economic absurdity of orbital compute, but not affording the same assumptions for what could be done for earthbound systems, is confusing?
And no, orbital compute is absolutely not far lower than earthbound in co2 cost. Because it doesn't exist at any scale. All orbital compute is solely dedicated to switching where it is best served. If you were to spitball numbers, are we even willing to assume orbital matches earthbound in compute total, dollar cost, uptime, or any beneficial metric?
The only metric I see is just slinging silicon into space.
Fwiw, I like that class names and file names must match. In python codebases I have had annoyances with this when I adopted others work.
They want to make sure they called the right person. Except they know everyone hates getting called like this, so they take "who is this?" as affirmation and then proceed to tell you their company and the call.
MAD has had its virtues extolled, yet assume it won't work with another country because somehow they are even more irrational (if true). Even though that is exactly for whom the MAD strategy is designed and operates under.
It is only the build up of Iran getting a nuclear weapon that is used to go to war.
The game theory here seems rather simple, honestly.
And if Iran is seen as hostile, we need to look at the countries for whom the USA allies with and what wars they launched in the region. And they are plausible nuclear capable where their neighbors are not.
I think Israel is currently a larger aggressor, literally flattening more towns through demolition.
Surely, he has made things uniquely worse, and in ways that would not have happened without him.
Because redfin shows that just is very clearly not true
https://www.redfin.com/news/homeownership-rate-by-generation...
I am wrapping this comment thread in a finally and returning.
A bad one.
I listed many other useful heuristics. Do you not find value in them? Do you find stars more valuable than them?
Take a moment to consider stars as a useful metric may only be useful for packages created prior to ~2015 when they weren't such a strong vanity metric, and are already very well established. This is preconditioning you to think "stars can still sometimes be useful, because I took a look at Facebook's React GH and it has a quarter million stars".
Sure, it's useful for that. But you aren't going to evaluate if the "React" package is safe. You already trivially know it is.
You'll be evaluating packages like "left-pad". Or any number of packages involved in the latest round of supply chain attacks.
For that matter, VCs are the ones stars are being targeted at, and potential employers (something this article doesn't cover, but some potential hires do hope to leverage on their resume).
If you are a VC, or an employer, it is a negative metric. If you are a dev evaluating packages, it is a vacuous metric that either tells you what you already know, or would be better answered looking at literally anything else within that repo.
The article also called out how download count can be faked trivially. I admit I have relied upon this in the past by mistake. Release frequency I do use as one metric.
When I care about making decisions for a system that will ingest 50k-250k TPS or need to respond in sub-second timings (systems I have worked on multiple times), you can bet "looking at stars" is a useless metric.
For personal projects, it is equally useless.
I care about how many tutorials are online. And today, I care more about if there was enough textual artifacts for the LLMs to usefully build it into their memory and to search on. I care if their docs are good so I spend less tokens burning through their codebase for APIs. I care if they resolve issues in a timely manner. I care if they have meaningful releases and not just garbage nothings every week.
I didn't mean for this to sound like a rant. But seriously, I just can't imagine in any scenario where "I look at stars" as a useful metric. You want to add it to the list? Sure. That is fine. But it should not be a deciding factor. I have chosen libraries with less stars because it had better metrics on things I cared about, and it was the correct choice (I ended up needing to evaluate them both anyhow. But I had my preference from the start).
Choosing the wrong package will waste you so much more time. Spend the 5 minutes evaluating for stuff that is important to your project.
There are many other far more useful metrics to look at first, and to focus on first, and to think about. Every time you think about stars, you'll forget the other stuff, or discount it in favor of stars.
Forget stars. They now no longer mean anything. Even if they did before, they don't anymore.
Yes...which is why I said it is an indirect variable, as caused by the other things I pointed out above. Age, quality, code, utility, whether issues are addressed, interest, etc. Or fraud. Pretty cut and dry.
FWIW, I almost never star repos. Even ones I use or like. I don't see the utility for myself.
Aim for a more concise post and don't couch your statements in doubt next time if you want a productive conversation, because I don't know what you are trying to say.
I have limited time on this Earth and at my employer. My job is not critical to life. I am comfortable with this level of pragmatism.