2,685 karma · joined August 3, 2020
wraptile.at.hn
That sounds exactly like a strength of Python, no? Python is excellent at working IO blocks and waiting in general being interpreted language with first-class async support.
Are we supposed to live in a world where if I'm crossing a border I must give access to all of my information? That's absurd and more equivalent to a full brain/memory scan than a suitcase search from your example. This is dystopian in every sense of the word.
I'm not an American, so I'm not familiar with Oracle's database tech but looking through history of what good/bad Oracle has done for the world:
- good: btrfs for linux
- good: mysql (inherited)
- good: openjdk (inherited)
- good: virtualbox
- bad: oracle v google (copyrighting APIs)
- bad: mass surveillance (i.e. BlueKai)
- bad: aggressive value extraction
- bad: general mega corporation bullying
Sad that 21,000 people lost their jobs, but I don't think many people are shedding tears for Oracle itself.
I'd argue since redesign that introduced old.reddit
> to give some examples of mod abuse
You're barely scratching the surface. Many subreddits are directly astroturfed and sold out. The most clear indicator is when a subreddit links to alternative communication platform like Discord - it's there to signal that mods are selling out. This is particularly noticable in any entrepreneur/saas based subreddit.
Other subreddits like /r/worldnews are clearly propaganda operations.
All of these are solvable problems but Reddit simple has no one left who'd care to solve them.
I suggest decentralized Fediverse alternatives like Lemmy https://lemmy.world/ as Reddit will never get better.
With model distillation being so effective now nobody actually needs to pirate books to train their models. You can get an open-weight Chinese model and get all that. Or you can just buy the books or buy a library - there are many creative solutions here that aren't piracy and not going to cost you billions of dollars.
The moat right now seems to be the compute resources which might actually be worse for us common folk than a legal moat as we need compute for many more things that aren't LLMs too.
don't you dare clump the best fruit in the world with cockroaches!
I really don't buy this argument. You already have to moderate submissions - what's an extra field? Sure, UGC is more opinionated but just don't add star ratings and anything that promotes gaming of system. Just let users expand the dataset with more information, it's almost never a bad idea - isn't that entire point of crowdsourcing datasets?
OSM argues that it's a "map database" but it stores labels like "opening hours" and "social media links" - why stop there? The UGC vs non-UGC debate has been the biggest crutch of all open map projects and no one managed to solve it yet.
country that does not allow internet is being hated on the internet
AI is definitely different. Cloud compute is incredibly convenient to the point where even if AWS is more expensive it's just so _nice_. LLM models are much more abstract and while I can't easily swap AWS for Hetzner to save 80% of my costs I can absolutely get close to that for many of LLM tasks, even today.
I suspect Anthropic and gang all know that that's why they are buying up dev tools and shifting towards long-running agents because that's where they can get AWS's "nicesness" that they can charge for.
It's constantly turning what should be 50 LOC patch of a single prompt into 30 minute exploration that is totally not worth it. Often wrong even.
I trialed it on some rather simple stuff - backfill redis dedupe cache when the hash function changed: instead of running new hash func on every db value to expand the cache it implemented some overly-complex cache update that tried to guess hashing func version of each cached value and recalculate only the old hashes. I can imagine in some context this would make sense maybe? but not 30 minutes of token burn that got replaced by 10 lines for loop by me.
I fear that this is generally bad news for programming. LLM tech is clearly running into a diminishing returns wall on intelligence but a response to that is to just make them more relentless which is a pretty poor solution for everyone involved, except I guess people who sell the tokens and people who can afford these tokens to scan for 0-days.
At least I got to experience irc, forum boards and other early group chat apps - that was some of the best internet experience. Early Reddit was incredible as well.
It's sad that today's youth will likely never get anything remotely similar to this.
You could maybe argue that ad revenue could subsidize the costs of information delivery but information delivery costs are basically non existent today - it's all about attention delivery and thats an entirely different thing.
In this case I'd agree that pricing is effectively raised as 10$ > 10$ - 50%, there's no need to complicate it. However this is not even the right metric for this problem, a better one would be total spent / work produced. If all customers spend more money for the same amount of work (adjusted to progress) then clearly the price is increasing. This would be true in this example as well.