Buckle up because we're crashing into the new year with my annual database retrospective: License change blowbacks! @databricks vs. @SnowflakeDB gangwar! @DuckDB shotgun weddings! Buying a college quarterback with database money for your new lover! https://t.co/NnFHGElFNy
Blog post by @ekzhang1 peeking under the hood of Modal’s infrastructure: how we serve http and websockets serverlessly – the first of hopefully many posts talking about all the hard technical problems we’re working on: https://t.co/s3g5dMRdMc
@SullyOmarr Gemini 1.5 destroyed GPT-4-Turbo. I guess long contexts overwhelm it, while Gemini 1.5 doesn't care at all. Complete breakdown:
https://t.co/yTib8oKn13?
Its happening! Database researchers are starting to use @ApacheArrow DataFusion (e.g. @CMUDB 's https://t.co/UMX44PBwJW). It is a good opportunity here I think for students to work with an industrial system designed to be open. Also, @rustlang
Fall 2023: @butro and I are hosting a new @CMUDB seminar series: ML⇄DB (Machine Learning for Databases + Databases for Machine Learning). Mondays @ 4:30pm EST starting 9/11. Open to public via Zoom. Videos will be available on Youtube: https://t.co/yxQkwErRK2
$500 rent in SF would create a vibrant city
Dean Preston and his NIMBY friends systematically block housing, making already rich homeowners more wealthy while displacing middle/low income residents, and excluding immigrants
Vote him out
https://t.co/XSBCtsH4PZ
When ChatGPT came out, I was excited about the ability to prototype with AI. Everyone now has an ML team at their fingertips!
What I underestimated: how much ChatGPT is a *UI* prototyping tool.
Quick thread about how our team prototyped 4+ new capabilities in < 1 week. 1/
I tend to be a highly skeptical optimist; but with that context I’m surprised by how many people seem to underestimate the potential of LLMs to change how we access and interact with computers and information and ultimately how we work, think, and behave.
Best AI skillset in 2018: PhD + long publication record in a specific area
Best AI skillset in 2023: strong engineering abilities + adapting quickly to new directions without sunk cost fallacy
Correct me if this is over-generalized, but this is what it seems like to me lately
Didn't realize what kind of rabbit hole I got myself into two years ago saying "I want to make it easier for data teams to work with data". Just ordered a book about Linux device drivers because I'm trying to figure out a bunch of GPU stuff.
Exciting to see Quokka at the top of Hacker News (written by Ziheng Wang).
In ~1000 lines of Python, Quokka is a high performance fault-tolerant query engine built on
1⃣ Ray (@raydistributed) - distributed execution
2⃣ Polars - fast dataframes
3⃣ Arrow (@ApacheArrow) - fast I/O