Nat Taylor (@nattaylor) header
Nat Taylor (@nattaylor) profile picture

Product Manager, AI tinkerer, web developer, sailor, dad and CoCo'09 grad

Marblehead, MA
Joined October 2008
Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)Photo by Nat Taylor (@nattaylor)
Nat Taylor retweeted
Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵
🤖 Made with AI
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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
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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.
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Nat Taylor retweeted
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.
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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
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gpt-5.6-luna in a plant care guide: "General guidance, not a substitute for observing your plant." 🤣
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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
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Hope this isn't my last post. They gave it the ol' turn-it-off-turn-it-on once again and are trying again
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The third time is a charm. We made it
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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.
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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!
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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
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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…
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Nat Taylor retweeted
This April Fool's Day, we decided to stop joking around. Trinity-Large-Thinking is out now.
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Another example of incorporating the latest Database Research (in this case Limit Pruning from ❄️) in @ApacheDataFusio datafusion.apache.org/blog/2….
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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/#…
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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
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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 🚀)
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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 👇
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