ltrg

It would be super interesting to see if HN mentions serve as a leading indicator of company performance/valuations -- I wouldn't be surprised.

Not sure the parenthesis was required but I laughed.

This vaguely-nationalist world view around tech that’s emerging in Europe is dangerous, man.

It’s a response to the actually-nationalist practice of the United States. I can understand why it might feel different from California, but things are a bit scary over here right now.

Fable seems very good at finding bugs (unsurprising given Mythos lineage), so this seems a pretty smart strategy. Once you see the bugs it finds in your existing Opus code, it's going to be hard to go back, psychologically speaking.

Really cool stuff. Nitpick: it failed to grab an OSM ID for my house and fell back to postcode centroid, but then still reported LIDAR-derived shading at quite high precision.

I'm wondering if it should fall back to a more general shading approach when no OSM building footprint is available, to avoid false precision? My street has a gap in the houses on the other side from mine, so picking the right location matters for the calculation.

You could also try Inspire Index polygons instead of OSM? These correspond to actual lease/freehold boundaries.

I used it to output my doctoral thesis in LaTeX from Markdown 10 years ago, and similarly for going back and forth between my supervisor's Word documents and the main thesis text.

Embarrassingly, a horrible little script for converting Pandoc's Markdown endnotes to inline format remains my most-starred GitHub repo: https://github.com/ltrgoddard/inliner/

"foundation model" a somewhat confusing phrase in the title here, given the majority of HN front page.

Just noticed this in my inbox from earlier. Seems to only affect a subset of feature-flagged users.

This only covers container ships btw. For full coverage of all vessels, try the 'vessel presence' layer in Global Fishing Watch's interactive map, based on a feed from Spire: https://globalfishingwatch.org/map/

Laughed at the default text value. What track's that from?

A similar but much more up-to-date and interactive version of this can be accessed via the Global Fishing Watch map: https://globalfishingwatch.org/map

Turn on the `Vessel presence` layer, which displays a vector-tiled view of all vessels up to a few days ago, not just fishing boats.

And something from my own blog which may be of interest: https://blog.datadesk.eco/p/sky-lapse-in-two-tone

I'm English (RP) and it gave me a Yorkshire accent and Scottish accent in turn.