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When LLMs answer questions with retrieved webpages, several plausible answers may appear.
What if one appears much more often and fits much of what the question asks, but still isn't the right answer?
Excited to share our #EMNLP2026 paper on this!
📄https://t.co/1nA6wYCpro
GeoLibre v3.5.0 is here!
GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
This release draws the map in other coordinate systems, including planetary grids for the Moon and Mars, makes ArcGIS editing follow your service's own rules, and turns story maps into interactive presentations. It brings together 65 pull requests from 13 contributors, 7 of them contributing for the first time. Thank you to everyone who helped!
What's new in v3.5.0
- Other coordinate systems: draw the map in another CRS, including planetary grids, with WMS basemaps rendered to match.
- Smarter ArcGIS editing: start new features from a published template, with contingent values checked as you edit and before every save.
- Organization geocoders: use your organization's ArcGIS locators for place search, batch geocoding, and reverse geocoding, with suggestions as you type.
- Interactive story maps: autoplay chapters, pause to explore, and mark up the map live while presenting.
- More data in more places: ArcGIS VTPK and TPKX packages, MBTiles on the web, PostGIS on Android and iOS, and point clouds from STAC catalogs.
- A smoother workspace: bottom panels that sit under the map, a searchable Processing menu, and a map view that stays in the web address.
- A more capable AI Assistant: it can switch on an installed plugin and use its tools in the same turn.
Try it out
- Launch GeoLibre Web: https://t.co/8gMtkVtNcU
- GitHub: https://t.co/VXq8c1oACL
- Documentation: https://t.co/7VA2AQpaJK
- Release notes: https://t.co/JmEgiL7L2h
#GIS #GeospatialData #OpenSource #ArcGIS #PlanetaryScience #StoryMaps #MapLibre #Python
Hi, we're Threadlocked, a small collective of young researchers and hackers scattered across India and APAC.
We're sick of watching an entire generation mistake salary packages and credentials for the pursuit of computer science itself.
We're looking for curious hackers and researchers who still dare to take the road less traveled by treating computing as a craft.
We grew up in obscure corners of the Internet and learnt from strangers who encouraged our curiosity, shared their knowledge and even helped us access resources we couldn't afford. Somewhere along the way, we found our people. Now that we're in a position to do the same for others, we'd like to return the favor.
If any of these feel familiar we’d love to hear from you.
Building for people and agents shouldn’t mean maintaining two app surfaces.
pracht is a Preact framework for building web apps with an explicit app graph for routes, middleware, rendering, and agent capabilities.
It helps you make the app’s structure inspectable instead of forcing agents to scrape the human UI, while keeping the same declared capability available across supported transports.
Key features:
• Explicit app graph – a typed `defineApp()` manifest wires routes, shells, middleware, and capabilities for tooling to read
• Capability projections – define an operation once, then expose it as a server call, HTTP endpoint, WebMCP tool, or remote MCP tool
• Per-route rendering – choose SPA, SSR, SSG, or ISG plus full, islands, or no hydration per route
• Verification tooling – `pracht verify` can enforce declared app constraints deterministically
• Flexible deployment – adapters cover Node, Cloudflare Workers, Netlify, Vercel, and pure static export
It’s open-source (MIT license).
Link in the reply 👇
One week later, Pele is already in dozens of apps including @obsdmd 1.15 and @bot! Many improvements this week:
- Even faster rendering!
- Math resolver support: KaTeX, MathJax, Temml, etc
- Gradients in sankey diagrams
- Fewer edge crossings in diagrams with subgraphs
- Subscript, superscript and inline code in labels + text styles: kbd, underline, ins, cite and others
On a personal note, I am so grateful for all the love Pele received! I truly did not expect it.
My hope with Pele was to get a few bug reports ahead of the Obsidian release, so it's a wonderful feeling to see it adopted so quickly. I take this as a great honor and responsibility.
If you added Pele to your app or website, feel free to share it below 🌋
terrio v0.5.0 is here!
terrio reads, writes, converts and reprojects geospatial rasters, vectors and point clouds in pure Rust, with no GDAL and no C dependencies. Use it from the command line, Python, JavaScript (WebAssembly) or Rust, or let an AI agent drive it.
What's new in v0.5.0
- Vector processing: buffer, overlay (intersection, union, difference), dissolve, is-valid, make-valid and clean, plus centroid, singlepart, vertices and footprint.
- Raster analysis: contour lines, zonal statistics across bands and rasters, and sampling many rasters at points.
- SQL: a standalone terrio sql command for querying vector layers.
- A rio command line: terrio-rio runs rasterio's rio commands (info, clip, merge, warp, calc and more).
- New formats: GRIB1 and GRIB2 weather data, read lazily from local files or remotely from NOAA and ECMWF.
- Point clouds: more of PDAL's filters (dbscan, covariancefeatures, lof, dem, colorization, overlay and more), and appending points to EPT datasets in place.
- Coordinates: transformations between vertical CRSs, point motion between coordinate epochs.
- Multidimensional data: Zarr arrays with more than three dimensions, netCDF groups written from Python and JavaScript, and xarray subdatasets, GCPs and RPCs opened as rioxarray opens them.
- STAC: POST searches with paging, and Microsoft Planetary Computer signing.
- WebAssembly: multithreading (6 to 8x faster decoding and COG writing in Node.js, Chromium and Firefox), a terrio-js/core module that is less than half the download, and terrio-js/memory64 for datasets larger than 4 GB.
Every new processing command is also an MCP tool, so AI agents can run them too.
Try it out
- Playground in your browser: https://t.co/jBmTagGOz5
- Documentation: https://t.co/oM0chG58wB
- GitHub: https://t.co/gDgI9oZ1mu
- Release notes: https://t.co/vQaeL3woOx
#GIS #Rust #OpenSource #Geospatial #Python #WebAssembly #GDAL
A free book: "Introduction to Machine Learning" by Laurent Younes
It’s a great read to learn math behind core ML concepts or refresh your knowledge of it, and explore some key ML methods along the way.
Covers:
- neural networks, graphical and generative models
- optimization and bias–variance
- regression, SVMs, and kernels
- decision trees
- clustering and generalization bounds
wheresryan22/anatomy: An agent skill for creating detailed, interactive isometric illustrations of real-world machines and complex systems. Generates polished SVGs with optional WebGL shaders and 3D effects. https://t.co/8QXWXLCBoN
Hi all, I have a new result I'm excited to share. It turns out that *all existing implementations* of softmax and cross-entropy (that's JAX, PyTorch, textbooks, etc) have a subtle bug --- two bugs, actually. A simple rewrite fixes both, and eliminates "slingshots" when grokking:
so i actually starting watching and wow this one is insane. nothing like it exists on the internet (and its free!)
@neuralkian literally holds your hand all the way through. no excuses. this is not another hand wavy gpu economics video. everything is explained starting from a simple physics formula.
also lots of lore about how the industry actually works and how the math connects. well fucking done!
I curated 223 free physics textbooks, written by the physicists who teach the courses and shared on their own pages, university sites and open archives. No sign-up, no paywall, no pirated copies. From high school mechanics to string theory. 👇
https://t.co/E9ovZC0EGB
You can now train your own Decision model with our free notebook! 💡
Qwen3.5-4B will generate decisions instead of text on just 8GB VRAM locally.
Learn to data prep (state, questions, gold answers), train, serve.
Notebook: https://t.co/avk6G2zyob
Guide: https://t.co/eNy4Ue0btG
Goose: my latest programming language. Safer, faster and less memory than Rust/C++ for algorithms where tightly packed, flat data structures matter.
It can represent more kinds of data structures as flat, pointer-free bytes than any language I know.
https://t.co/qqC3RFD0BS
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