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dbreunig
searching PlanetScale…
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91.
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Breaking Down Claude's 26k+ Token System Prompt
(dbreunig.com)
9 points
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dbreunig
1y ago
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0 comments
92.
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dbreunig
1y ago
What is Windsurf's (or for that matter: Cursor, Cline, or CoPilot) moat? This seems like a great deal and timing for them.
93.
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dbreunig
1y ago
I was struck by this as people suggest alternatives that refute the headline (QGIS, PostGIS, GDAL, etc): nearly every one emerged in the early 2000s. Strongly agree with your sentiment around maps: most people can’t read them, they color th
94.
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dbreunig
1y ago
Not disjointed at all. That last topic is the big challenge to solve.
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dbreunig
1y ago
That’s great! The difference is you’re familiar and know how to do that Getting started from 0 with geo can be difficult for those unfamiliar. DuckDB packages everything into one line with one dependency.
96.
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dbreunig
1y ago
Most of those tools came out circa ~2000. Yeah, I feel old.
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dbreunig
1y ago
Author here. QGIS is amazing. It's really great. It also came out in 2002, so I think the headline is safe.
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dbreunig
1y ago
Yes. The difference between provisioning a server and running 'install spatial' in a CLI is night and day. Docker has been a big improvement (when I was first learning PostGIS, the amount of time I had to hunt for proj directori
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dbreunig
1y ago
Author here: what's special is that you can go from 0 to spatial data incredibly quickly, in the data generalist tool you're already using. It makes the audience of people working with geospatial data much bigger. (Geopandas is gr
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dbreunig
1y ago
Author here: the beauty of DuckDB spatial is that the projections and CRS options are hidden until you need them. For 90% of geospatial data usage people don't and shouldn't need to know about projections or CRS. Yes, there are so
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DuckDB is probably the most important geospatial software of the last decade
(dbreunig.com)
491 points
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dbreunig
1y ago
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165 comments
102.
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Explaining Reasoning Models: How they work, how they're built, & why they matter
(dbreunig.com)
2 points
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dbreunig
1y ago
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0 comments
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AI-Powered Apps Are Changing the Dynamic Between Domain Experts and Developers
(dbreunig.com)
1 points
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dbreunig
1y ago
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0 comments
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AI Chatbots Are Like Observational Comics
(dbreunig.com)
1 points
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dbreunig
1y ago
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dbreunig
2y ago
Don't forget Blackwater!
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dbreunig
2y ago
When you log in you can create your own lists, bookmark ones you might like, and only see the ones you want.
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dbreunig
2y ago
Nice! Great idea and focus. I have a similar function built into my app, which takes the proposed name for a checklist and description and uses it to generate steps. Have heard many use it for executive function management: https:/&#x
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ChatGPT fixes your DALL-E prompt if it's bad, but lets it be if it's good
(dbreunig.com)
2 points
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dbreunig
2y ago
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0 comments
109.
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Controlling FFmpeg with natural language from the command line
(dbreunig.com)
3 points
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dbreunig
2y ago
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0 comments
110.
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A 16TB Mirror of Data.gov on Source.Coop
(source.coop)
139 points
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dbreunig
2y ago
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18 comments
111.
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A Gentle Guide to Running a Local LLM, for Complete Beginners
(dbreunig.com)
7 points
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dbreunig
2y ago
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0 comments
112.
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DeepSeek Is a Rorschach Test Revealing Each's AI Hopes and Fears
(dbreunig.com)
1 points
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dbreunig
2y ago
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0 comments
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The Rise of the Term "Authentic Data" Illustrates AI Anxiety
(dbreunig.com)
4 points
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dbreunig
2y ago
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1 comments
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Your Eval Is More Important Than the Model: Building an Example Eval
(dbreunig.com)
1 points
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dbreunig
2y ago
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0 comments
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The "Cyren" Song: Meta's AI profiles, Character.ai, and other fake humans
(dbreunig.com)
2 points
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dbreunig
2y ago
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0 comments
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A Primer on Synthetic Data: How It's Helping and Shaping LLMs
(dbreunig.com)
1 points
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dbreunig
2y ago
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0 comments
117.
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dbreunig
2y ago
Altman appears to say AGI is far away when he shouldn't be regulated, right around the corner when he's raising funds, or is going to happen tomorrow and be mundane when he's trying break a Microsoft contract.
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DSPy Does the Prompting for You
(dbreunig.com)
2 points
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dbreunig
2y ago
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0 comments
119.
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dbreunig
2y ago
If everyone has the same terms and roughly equivalent models, enterprises will continue choosing Microsoft and Amazon.
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LLMs Hit the Wall: History Reveals How We Went Fast and Why We'll Go Slow
(dbreunig.com)
2 points
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dbreunig
2y ago
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0 comments
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