throwaway29303

Godspeed. ;~;7

https://mailarchive.ietf.org/arch/msg/tls/XIckyKVIEgKNus-koX...

Godspeed. ;~;7

  The date (2003) is incorrect.

https://web.archive.org/web/*/https://www.kegel.com/c10k.htm...

Sounds interesting and challenging. There's something similar, although not the build part just the modular aspect of it inspired by CPAN called CCAN: https://ccodearchive.net/. Very few people know about it, I believe, and it goes way back. I'm not involved with that project, though. Good luck!

Maybe fs/select.c or the polling machinery.

Had to shorten the title due to its size. The original is

  Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)

Missed opportunity to call it Pithon 3.14 just for this release. :-)

Godspeed.

I would say management. Think Chief $SOMETHING Officers, etc.

Can someone, more informed than me, about the job landscape, name these jobs people keep claiming AI is creating? Thank you in advance.

  I turned to Academic Torrents, a platform widely used by researchers to share datasets. There, I downloaded a large NSFW dataset often cited in AI research. I unzipped the file in my Google Drive to begin preprocessing. A few days later, my entire Google account was banned — without warning, without explanation, and without any clear path to appeal.

That's a cool project, OP.

I'd like to share other historic projects which I had a hard time searching for and they seem to be gone from most search engines (at the time I searched for them anyway):

  https://archives.darenet.org/ (not available)

  https://arsiv.behroozwolf.net/index.php (it seems to be working)

Cheers.

  Too much gameable measurement on the tax end, and too much unnecessary bureaucracy both to support that on the tax end and the retraining end;

An agent to take care of the bureaucracy, another to retrain someone for a new job, etc.

And, yes, the long-term plan would be to fund UBI at some point; because if these systems become so capable and so efficient might as well let them do everything for us while we humans enjoy leisure time.

Nothing but we should most definitely progressively tax these systems based on a percentage of the difference between the least efficient model[0] and the most efficient human. (Assuming, of course, that the least efficient model is more efficient than the most efficient human.) Use those funds to retrain people who lost their jobs for the mythical jobs every manager/CEO keeps talking about.

Suppose the most efficient human produces $250k/y worth of labour and the least efficient model produces $1M/y worth of labour. So $1M - $250k = $750k. %1 of $750k = $7.5k. Now multiply that by the number of companies/people who bought these services.

Models are assumed to a) become more efficient and b) be competent on several and different types of jobs.

This would also include robots but those systems aren't yet ripe, IMO. I'd let them marinate a little further before taxing them.

Apply this tax to very large companies that produce/sell these systems.

[0] - This incentivizes companies to keep investing in more efficient and capable models/systems.

Amazing.

https://news.ycombinator.com/item?id=17848882

  Gaming should be fun full stop

  and this idea that like games need to feature attractive women to pander to men.

https://en.wikipedia.org/wiki/Elon_Musk#Education

https://en.wikipedia.org/wiki/Polymath

Reminder that shred(1) doesn't work on journaled filesystems.[0][1][2]

  CAUTION: shred assumes the file system and hardware overwrite data
  in place.  Although this is common, many platforms operate
  otherwise.  Also, backups and mirrors may contain unremovable
  copies that will let a shredded file be recovered later.  See the
  GNU coreutils manual for details.

[1] https://stackoverflow.com/questions/913282/shred-doesnt-work...

[2] https://en.wikipedia.org/wiki/Journaling_file_system

RIP, master. You'll be missed. ;~;7

No mention of LLMs?! Interesting.

  Google is the greatest source of traffic to publishers’ websites, because when people search for information, the results often direct them to news articles. Publishers have balked in recent years at payment offers from Google, arguing their content is worth more than Google has been willing to pay.

https://wiki.postgresql.org/wiki/Fsync_Errors

https://arxiv.org/abs/2410.00315

Education.

SQLite.

https://www.theverge.com/2017/6/8/15766434/alphabet-google-b...

  Google's experimentation with AI extends beyond ad sales, encompassing its customer support service as well. The integration of AI in customer support is expected to directly influence the human-centric aspects of the company's operations.

Kept you waiting, huh?