Small JSON responses that compress to <1k would fit in a single packet, so I don't see the advantage of going from "65 bytes with normal Zstandard compression, vs 28 bytes when using the past response as a dictionary - 57% smaller."
1,239 karma · joined October 26, 2014
Small JSON responses that compress to <1k would fit in a single packet, so I don't see the advantage of going from "65 bytes with normal Zstandard compression, vs 28 bytes when using the past response as a dictionary - 57% smaller."
Still not perfect -- the demos should work too. I love the idea of a progressive framework and am willing to work around a few things to get it.
The web caused dentists to make websites, but they don't post their appointment calendar; they don't have to.
Will AI looking for appointments cause businesses to post live, structured data (like calendars)? The complexity of scheduling and multiple calendars is perfect for an AI solution. What other AI uses and interactive systems will come soon?
- Accounting: generate balance sheets, audit in real-time, and have human accountants double check it (rather than doing)
- Correspondence: create and send notifications of all sorts, and consume them
- Purchase selection: shifting the lack of knowledge about products in the customers favor
- Forms: doing taxes or applying for a visa
Check out Picat. It has IO and you can use it for scripting.
Extend Copyright? (no, no..)
I have two ideas:
- Recommendations. Publishers connect with private LLM/Agents for custom recommendations. They'd need to keep reviews private, but could trade them among themselves.
- Insurance Pool. Authors could add works to a pool of books, and the profits could be split. Publishers would need to maintain the quality of books or authors won't join.
https://hellonostr.dev/en/introduction/
The encoding seems to have an unmentioned/unaddressed version number included, both in the nostr doc and the bitcoin docs.
npub1abcxyz... is npub (header) 1 (version) abcxyz... (key)
Now take a look at the doc (linked above.)
Interesting point and one I haven't seen before. Almost like arguing that AI will work best with things it can learn quickly, rather than things that have lots of examples.
> $41,520 | 260 mi | 300 hp
.{ Atm.checkPin, Atm.session, Atm.ready } } }),
It was the diagram that made me think this.I'd expect most firms to have their own systems for backup, versioning, access control, approval, metadata, etc.. or at least a human process for such. It should be much easier to sell the "extra tools" than software that changes their process.
If the message is encrypted for the reporter and they're the only ones who can read it, what does the organization do to manage this? Are passwords for private keys saved with the org, or are the keys saved with multiple accounts? What do you do when someone forgets their password?
Cool app; just encryption management when it comes to human users must have lots of trade-offs.
It's for advertising.
Like/dislike might be a better description. Then make the chart show color or size to indicate the preferences.