jremmons
Joined 9 years ago
Joined 9 years ago
- Zulip has something called a "topic" which is basically a Slack thread but with a name/subject-line. Unlike Slack threads though, every message you send has to be sent in a topic. Zulip makes it much easy to context switch between these topics too. Ever have a situation in Slack where two people are discussing something in a channel instead of using a thread or DM? That isn't possible in Zulip.
- The Zulip UI offers a lots of nice features compared to Slack too. For one, you can see the number of unread messages in each topic directly from the main page. Zulip also supports multi-line messages so you don't have to send a bunch of message one right after the other to break up text, you can add line breaks directly to your message.
- Zulip has a "message drafts" features which is nice when you want to draft a message (or multiple messages), but will send it later. Zulip will hang onto your drafts until you need it.
- Zulip has full markdown support. You can format links, images, and tables (which are all especially nice when using bots) using standard markdown syntax.
- Zulip has full color syntax highlighting when embedding code-snippets into messages! It has support for basically every programming language I can think of (including brain-fuck!).
- Zulip has support for latex equations in messages.
- Zulip is open-source! You can use the version of Zulip hosted at zulipchat.com or you can deploy your own Zulip server by grabbing the source code from github (https://github.com/zulip/zulip).
- In the time since I have switched from Slack to Zulip (about 1 years ago now), Slack has gone down 3-4 times and has had other connectivity issues; Zulip had maybe 1-2 minor interruptions that I can think of in that time.
>> Neural networks have recently met success because of the rise and availability of large amounts of data.
I think that the improvement in computation power has had at least as much of an impact on the field as data! The only reason people have even bothered to collect the amount of data they have is because the DNNs that need the data are finally cost effective to run on modern hardware.
That said, I do think smaller, independent AI research groups can be impactful even if they aren't going to beat Google in a head-to-head competition; they just have to find problems the tech giants aren't working on yet :).