Nat Taylor retweeted
Should you waste tokens having your coding agent use grep, or hand the search to a tiny local model?
We release ColGrep-Agent-2B! A code-search agent that runs locally, searches with ColGrep, reads files, & returns locations + code to your main agent
-> 34% fewer API tokens
Nat Taylor retweeted
A 30M-parameter model, on CPUs, inside Postgres
It matches a 0.6B dense embedding model on top-100 recall, to within 0.004, and finds more in the top 1,000
Meet Evoke. Open source today.
Introducing topk-embed-v1: a family of open-source and hosted text/image embedding models with frontier retrieval quality at $0.05/1M tokens.
The models produce highly compressible representations, enabling us to serve them at scale with storage comparable to dense baselines.
Nat Taylor retweeted
CC the entire fam 🤝!
Today, we’re announcing the new CC – an AI agent built for families to spend less time on logistics and more time together.
You can now:
👤 Add up to 5 members to your CC agent
☀️ Start mornings aligned with a shared "Your Day Ahead" brief email
🗓️ Autosync schedules & to-dos with a shared Google Calendar and Tasks
💬 Coordinate in Google Chat with CC to offload relevant tasks (ie., crafting weekly meal plans, school supply shopping lists, etc)
📝 Delegate paperwork (ie., permission slips, forms, and more) for CC to complete under your direction
📌 Keep tabs on the details – CC remembers what applies to everyone (ie., family grocery lists, favorite restaurants) versus what applies to one person (ie., dietary restrictions, local timezones)
Ready to keep everybody on the same page? Join the waitlist or upgrade your existing CC (US only, 18+): labs.google/cc
gpt-5.6-luna in a plant care guide: "General guidance, not a substitute for observing your plant." 🤣
6hr delay, board, deplane, board, taxi, return to gate and @AmericanAir has 2 bags of pretzels to offer.
Maybe time to heed the engine's warnings and not try to push it trans-atlantic
Hope this isn't my last post. They gave it the ol' turn-it-off-turn-it-on once again and are trying again
Nat Taylor retweeted
Gemma 4 just got even faster!
We're releasing Multi-Token Prediction (MTP) drafters that deliver up to a 3x speedup, without any degradation in output quality or reasoning logic.
Nat Taylor retweeted
New in Gemini: Generate files and export them
Tell Gemini what you want to create and the format, and it now does the work for you.
Now supporting:
📄 Google Docs, Word (.docx) & PDFs
📊 Google Sheets, Excel (.xlsx) & CSV
🖥️ Google Slides
🛠️ Markdown, LaTeX, TXT, RTF
Available now on all surfaces globally!
Nat Taylor retweeted
Hi, we are releasing ColGrep 1.2.0
ColGrep now incorporate BM25 trigrams to further enhance our multi-vector models using hybrid search.
Now, ColGrep print relative paths by default (fewer tokens per result)
Exact same features as GREP
Improved CUDA usage and installation
Amazing that reasoning can be compressed into the weights
💫 Introducing New SOTA Long Context VLM
LightOn OriOn-Qwen-SR1 reasons over full documents and executes it implicitly at inference.
Reasoning is compressed into the model's weights, no verbose output, no added latency.
🥇 SOTA on MMLongBenchDoc, ahead of Qwen3 VL with 7× fewer parameters.
🙌 Kudos to @further_ai for this new milestone!
Reasoning starts at reading.
👉 lighton.ai/lighton-blogs/doc…
Nat Taylor retweeted
This April Fool's Day, we decided to stop joking around.
Trinity-Large-Thinking is out now.
Nat Taylor retweeted
Another example of incorporating the latest Database Research (in this case Limit Pruning from ❄️) in @ApacheDataFusio
datafusion.apache.org/blog/2….
Nat Taylor retweeted
Starlette 1.0 is here!🎉
After nearly eight years, Starlette has reached its first stable release. Downloaded almost 10 million times a day, it serves as the foundation for FastAPI and the Python MCP SDK.
Blog post: marcelotryle.com/blog/2026/0…
Release notes: starlette.io/release-notes/#…
Nat Taylor retweeted
we're back baby!
sqlite-vec are update after 1.5 year - really happy that @agarcia_me is back in the game with his amazing work on sqlite! 😍
github.com/asg017/sqlite-vec
Nat Taylor retweeted
rpg 0.8.0 – modern PostgreSQL terminal github.com/NikolayS/rpg
in this release:
EXPLAIN plans that actually help you
Instead of staring at a wall of text, rpg now shows a summary header with execution time, buffer stats, and automatic warnings — seq scans on large tables, row estimate errors, sorts spilling to disk. The full plan is preserved with color coding so the hot path jumps out instantly.
Plan export to popular visualization/analysis tools
When you find a slow query, share the plan in one command:
\explain share depesz
→ explain.depesz.com/s/abc123
Works with depesz, dalibo, and pgMustard. No copy-paste, no browser tabs.
Lua custom commands
Write a Lua script, drop it in ~/.config/rpg/commands/, and you have a new \backslash command.
Other highlights
- Markdown output (\pset format markdown; psql --markdown) — paste query results directly into GitHub issues
- Better \s history — filter with patterns, syntax highlighted, through the pager
- Tab completion for all rpg commands
- pspg integration with 20+ themes
- lots of fixes based on feedback I've got yesterday/today
⭐ github.com/NikolayS/rpg
Nat Taylor retweeted
Replying to @alexdmartin314 @Hanx1664439
Well, well, well...
One perks of building on top of sentence-transformers is that everytime @tomaarsen ships, PyLate gets free features...
And I am hearing that lately he might have focused on... multimodality
github.com/huggingface/sente…
Yes, ColPali will soon be supported by PyLate :)
(Actually, not only images 🚀)
Nat Taylor retweeted
NEW SOTA OCR MODEL DROPPED
Congrats to @VikParuchuri and team for releasing Chandra OCR 2!
- 85.9% on olmocr bench, making it first place 🏆
- 90+ language support
- 4B model
- Full layout information
- Extracts + captions images and diagrams
- Strong handwriting, math, form, table support
Compare every OCR model on the hub and choose the one adapted to your needs 👇
























