Donations are not a good substitute for taxes at all. A social expectation of billionaires donating only ensures that the people who remain billionaires are the biggest assholes around to an even greater extent than they already are.
It can only do the impressive numbers after you give it a schema for the data, and the data has to be structured in a way that follows a rigid schema, so it's not magic.
OpenZL compresses data into a self-describing wire format, any configuration of which can be decompressed by a universal decoder. OpenZL’s design enables rapid development of tailored compressors with minimal code; its universal decoder eliminates deployment lag; and its investment in a well-vetted standard component library minimizes security risks.
The freedom afforded by OpenZL’s graph model is a double-edged sword: the capability it offers comes at the cost of a combinatorial explosion of choices that must be made—namely which components to use and how to compose and configure them. There is no one-size-fits-all compressor
Webassembly for compression or something, but it's made by the zstd people so maybe it will turn out to be magic eventually.
On one hand the x2.06 ratio for the SAO data is extremely good, zpaq and paq8px are 50x and 10000x slower at encoding and decoding and still can't even reach that ratio (I didn't try even more extreme compression, paq8px -8 already took 20 minutes).
On the other hand,
enwik: A Case Study Where OpenZL Performs Poorly
We present this case study to show that OpenZL is not a magic bullet for all use cases. The shortcomings are twofold. First, the standard codec library can achieve good results for many datasets, but is not currently optimized for human text. Second, English text is a highly compressible format for which domain- specific transformations are especially useful. xwrt combines multiple such transformations to achieve its results. With this in mind, we are optimistic that porting text-specific codecs and text parsing will improve the performance of OpenZL compressors in this domain.
Oh you did! Indeed, you have to complete the human campaign all the way through (to the point that you get an epilogue) to even be able to start the 2nd largest storyline after the human things.
Endless sky follows the old and storied tradition where 90% of the game's content is locked behind speaking to a specific random NPC near the starting town, and not giving any hints at all that you're going the wrong way. You probably fell victim to that.
What exactly would he go to prison for, that he did before getting into politics? Putting billionaires in prison wasn't a thing the USA really does even before Trump, and the worst things he's done seem to all be after he got into politics.
No, half the people died in early childhood and most of the rest lived for around 40-70 years. Agriculture also sometimes made life expectancies worse, even in the year 1900 life expectancy globally was still less than 35.
Some agent may do 100 queries for 1 user question, but a single scraper bot will do 100 queries every single second of every single day, and costs less to run than the LLM.
The free tier of IGDB has a rate limit of 4 requests per second and they will block you if you try to download the entire database, so this may be a dead end anyway.
Found a 4 megabyte dump that seems promising though it's from 2018 so outdated.
https://gist.github.com/LeWawan/5858a9e7bef0f3dc4a79ac8bc1e3380c
Another one, a 68MB 3 year old "dataset" for AI training that seems related to IGDB.
https://www.kaggle.com/datasets/anudeepvanjavakam/igdb-api-data/data
Doesn't end there
The AI job apocalypse isn’t data-driven — it’s narrative-driven, engineered by people who profit when you’re scared. Fear is the product. Capital is the outcome.
When a resource becomes dramatically cheaper to use, we don’t use less of it — we find a million new uses for it. If that sounds painless, keep reading.
and that quote gets even more LLM when expanded
The AI job apocalypse isn’t an economic forecast — it’s a marketing strategy. We’re not witnessing the end of work. We’re watching the monetization of fear.
It's two not X it's Ys in a row!
Galloway has always been a prolific em-dash user But pre-2023 phrases that strike on the same severity are hard to find ——mildly LLM at best.
TikTok has 1.6 billion monthly active users — more than Twitter, Snapchat, and LinkedIn combined.
The new occupant’s ascent to the Iron Throne was financed with a different currency — not monthly subscriptions or cable packages, but attention. Specifically, our youth’s attention.
Competition depends on rules, and rules depend on umpires. We should fight to protect competition — not winners. Because winners subvert the process
Protecting microsoft from the year of the linux desktop is the intended meaning.
But is it better than ncurses?
Fossil fuel waste. You know, carbon dioxide and air pollution.