Having an automated PR review for DBTs will be very valuable to ensure DBTs and SQL are following the best practices.

I feel like SQL and data is always a second class citizen compared to code review bots / the vast ecosystem of linters and review tools. As a result, it's great to see that DBT and SQL models will benefit here as well!

Does the Github app integrate with my existing DBT schemas and provide customized recommendations depending on my data models, metrics, etc?

It's very cool that folks can create the blocks from natural language but also inspect the generated code and modify it if desired. Are there any future plans to integrate blocks with existing data sources?

yes! S3 is available, and postgres is shipping soon as links

Thank you! Regarding performance, TPU v5e which was benchmarked in the MLPerf results and showed impressive performance/dollar, see https://cloud.google.com/blog/products/compute/performance-p... which has more details. Combined with k8s & GKE, TPU v5e workloads can leverage auto-scaling, for example setting up autoscaling based on traffic, so workloads can scale down rapidly when not in use, increasing cost efficiency.

Can I use LLMs to make more convincing sock puppet questions?

I wonder how this type of security hardware compares to other clouds (AWS, Azure, etc...)? Do they have something comparable?

AWS and Azure most likely (not publicly announced) are working on hardening their servers. Based on http://ca.reuters.com/article/technologyNews/idCAKCN1B22D6-O...:

"Neither Amazon.com nor Microsoft - which hold 41 percent and 13 percent of cloud market share, respectively, according to Synergy Research Group - have said if they have similar features."

This story was also covered in WNYC's Radio Lab podcast, which I highly recommend.  http://www.radiolab.org/blogs/radiolab-blog/2012/jul/16/doub...

Sweet, especially the Objective-C Literals: http://clang.llvm.org/docs/ObjectiveCLiterals.html

Yes, I am ridiculously excited about this, especially the ability to create single-item NSArray's without a tonne of messy typing - this is probably the largest cleaning effect it will have.

Any idea how long it has historically taken apple to move the newer Clang releases?

I don't know, but I guess that the compiler itself has been seriously tested on Mac OS X, and WWDC is June 11-15. Esepcially if they want/dare to use this for compiling Mountain Lion, I expect there to be some kind of release around that time.

Yeah, I've been waiting for this release. Just in time for WWDC, too.

Sweet indeed. Certainly makes Obj C a little bit more concise.

The Stanford videos are great. Another good resource for screencasts is http://nsscreencast.com/

Also if you're looking for a good book about iOS http://www.amazon.com/gp/aw/d/1430236051/ref=redir_mdp_mobil...

For learning the ins and out of objective c I've heard this is a good book: http://www.amazon.com/gp/aw/d/0321706285

Good luck!

You should really submit this to Reddit (if you haven't already),. This is exactly the thing that the Reddit community would die for.

Crosspost to:

http://www.reddit.com/r/cats

http://www.reddit.com/r/aww

http://www.reddit.com/r/lolcats

etc.

Do some iOS dev and this will no longer be a problem.