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bfirsh
searching PlanetScale…
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17 ms
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121.
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by
bfirsh
6y ago
Here's an HTML version: https://www.arxiv-vanity.com/papers/1204.1749/
122.
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by
bfirsh
6y ago
When I went travelling a couple of years ago I was trying to figure out if you could travel 100% solar powered. Turns out it’s kind of possible if you cover a huge van with solar panels and have them extend out to make a larger surface area
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bfirsh
6y ago
That exact same sentiment from ZAMM inspired me too. I’m glad I did it on a bicycle rather than a motorbike. There’s something more human-scale and less intimidating about it. Well, in relatively populated places like Europe and India at le
124.
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bfirsh
6y ago
The traffic was wild. As you say, the traffic is less bad outside of cities, and if you avoid the busier roads. But even still, lots of trucks barreling down small dirt roads, weaving in and out of cows, and things like that. I felt very sa
125.
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bfirsh
6y ago
Late 20s. 2 years overall, but that was interspersed with doing work in Athens. I would say maybe 1 year of travel and 1 year of working, overall. I had spent ~10 years working in tech so I had some savings. Contract work also helped. Not s
126.
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bfirsh
6y ago
One of the side-projects I built on the trip turned into my full-time job. :)
127.
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bfirsh
6y ago
It was never a problem in 2 years of traveling. My priority order was hostel, Airbnb, camping, hotel. Camping got higher priority if there was good nature or it was expensive. Airbnbs (the kind where you stay in somebody's spare room,
128.
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bfirsh
6y ago
When I quit my job and went travelling I used this framework: 1. Go via land. You see everything in between all the places you should see as a tourist. You immerse yourself in how a place actually feels. You meet people who aren’t just tr
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Replicate 0.3.0: Background uploads, PyTorch Lightning integration, and more
(github.com)
2 points
by
bfirsh
6y ago
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0 comments
130.
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bfirsh
6y ago
As a data point: I asked for 25% off my 1 bedroom rent (which seemed like roughly market rate). They said something along the lines of "we're not lowering any rents because we're struggling due to the economy". So, I lef
131.
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by
bfirsh
6y ago
It's own format, which is a rough semantic representation of a LaTeX document: https://dlmf.nist.gov/LaTeXML/manual/schema/ There are ways of exporting MathML within that schema, I think.
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bfirsh
6y ago
These functions are represented as LaTeX, because that's the gold standard for rendering math. But, they also want them available as XML so they're in a more sensible format for archiving. So, funnily, as part of this, NIST mainta
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bfirsh
6y ago
I think the solution to this is a bunch of pluggable tools that integrate well. "AI Platforms" do everything, but they do each thing not very well and force you into a particular way of working. (There is a reason we don't us
134.
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bfirsh
6y ago
Agreed, though perhaps you could say it's more "real" than the GUI because you're dealing with lower level concepts. We touch on metaphors in this section: https://clig.dev/#conversation-as-the-norm
135.
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bfirsh
6y ago
This inspired some of our design principles in the CLI Guidelines: https://clig.dev/ The CLI is the opposite of the Mac in a lot of ways -- reality instead of metaphors, remember and type instead of see and point, make it a
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bfirsh
6y ago
If you've got AT&T fiber via Sonic, give them a call and ask them to escalate the issue. The people on the phone know about the issue, take you seriously, and the more people complaining the more pressure they'll put on AT&
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bfirsh
6y ago
Urgh. I wasted an hour or two trying to debug my local network due to this.
138.
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bfirsh
6y ago
More details for any readers here: https://github.com/cli-guidelines/cli-guidelines/issues/57
139.
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bfirsh
6y ago
The sentiment was meant to be: "Make `command help` as good as a man page. More people will read that." We didn't mean to suggest to use web pages instead. We also didn't mean not to use man pages at all. We just find mo
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bfirsh
6y ago
Hello HN! We’re Ben, Aanand, Carl, Eva, and Mark, and we made the Command Line Interface Guidelines. Earlier this year, I was working on the Replicate CLI [0]. I had previously worked on Docker so I had a bunch of accumulated knowledge abou
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CLI Guidelines – A guide to help you write better command-line programs
(clig.dev)
564 points
by
bfirsh
6y ago
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212 comments
142.
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bfirsh
6y ago
Sorry yeah -- not saying nobody's using MLflow. We see teams and organizations using MLflow. What we don't see though is individual researchers/engineers/data scientists pick it up and use it. From the people we have tal
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bfirsh
6y ago
Yeah, I agree this space is crowded. But we’ve found so few ML researchers/engineers are actually using these tools. This could either be that people aren’t aware of them yet, or that they’re not good enough. I think it’s a mix of both
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bfirsh
6y ago
Funnily we applied with a different thing. We tried a number of different ideas before we settled on this lower-level thing, as I describe in the main comment. Even still, I think most people apply to YC without a concrete plan of how to ma
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bfirsh
6y ago
Yeah, YC is funding lots of open source projects. PostHog[0] was in our batch. GitLab, Docker, Mattermost, and CoreOS come to mind as other open source YC companies. There are a number of businesses we could build around the project. A clou
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bfirsh
6y ago
Thanks! It's open source and you're in control of your own data. See https://news.ycombinator.com/item?id=25151741
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bfirsh
6y ago
You can save data to a path on the filesystem, so one way to do this is with a network mount. Lots of academic departments have their own GPU clusters, and they tend to have a shared network filesystem. We want to have more ways to do this
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bfirsh
6y ago
This came out of a practical problem: at Spotify, Andreas couldn't let any data leave their network. He wasn't going to go through procurement to buy an enterprise version of one of those products, so his only option left was open
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bfirsh
6y ago
Would love to chat -- I'll shoot you an email. :)
150.
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bfirsh
6y ago
Yep, and we can do lots of other nice things. We can produce nice tables with the key/value data, filter it ("show me all experiments with an accuracy greater than 0.9"), produce well-formatted diffs across an arbitrary numbe
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