g.co/gemini/share/bedde20a01… [Translated from EN to English]
→ View original post on X — @thegautamkamath, 2026-03-27 23:37 UTC
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g.co/gemini/share/bedde20a01… [Translated from EN to English]
→ View original post on X — @thegautamkamath, 2026-03-27 23:37 UTC

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I continue adding more 𝐅𝐑𝐄𝐄 resources for my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟒𝟕𝟎𝟎 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI
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Environments in LangSmith Prompt Hub
— LangChain (@LangChain) 27 mars 2026
Environments give you a proper promotion workflow for your prompts:
– Assign any commit to Staging or Production
– Promote between environments instantly
– Roll back with a single click from a full deployment history
– Reference reserved tags… pic.twitter.com/u1DOC6hVLW
Environments in LangSmith Prompt Hub Environments give you a proper promotion workflow for your prompts:
– Assign any commit to Staging or Production
– Promote between environments instantly
– Roll back with a single click from a full deployment history
– Reference reserved tags
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Next steps:
– enable the 50,000 models available in inference providers
– enable the 3,000,000 models available on HF
– local free fast inference with llama.cpp
– train and bring your own model! We don't want a world where you're forced to choose between two or three lookalike
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very cool! can you share how you did that? feels like we could help push more "bring your own model" via @huggingface to pi cc @badlogicgames
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yo cuando empecé a automatizar TODO mi trabajo con Claude https://t.co/UV5KMOabfq pic.twitter.com/mdOT282F6N
— SONIA (@S0N_IA_) 27 mars 2026
me when I started automating ALL my work with Claude

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We have integrated @huggingface as a first-class inference provider in Hermes Agent. When you select Hugging Face in the model picker it now shows 28 curated models organized by use case, with a custom option for the 100+ other models they serve. clem 🤗 (@ClementDelangue) Been really cool to see the traction of @NousResearch Hermes Agent, the open source agent that grows with you! Hermes Agent is open-source and remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access. Starting today, you can use a bunch of @huggingface open-source models thanks to our inference provider partners. Let's go open agents! — https://nitter.net/ClementDelangue/status/2037634211973140898#m
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Gobsmacked by the skepticism in the comments. We’ve suffered 30 years of awful automated menus and slow, unhelpful chat reps… basically since phones existed. Instant, helpful AI voice support will be a massive win-win in many (not all!) cases. Saying 'it’s not ready' ignores
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Google Turbo Quant running Locally in Atomic Chat
— Chubby♨️ (@kimmonismus) 27 mars 2026
MacBook Air M4 16 GB
Model: QWEN3.5-9B
Context window: 100000
Summarising 50000 words in just seconds..
You can do 3x larger context window, processing 3x faster than before!
They are first that have integrated Google… https://t.co/3hrWncqJtg
Google Turbo Quant running Locally in Atomic Chat MacBook Air M4 16 GB
Model: QWEN3.5-9B
Context window: 100000 Summarising 50000 words in just seconds..
You can do 3x larger context window, processing 3x faster than before! They are first that have integrated Google

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Google is also working on a new internal ai tool called „agent smith“. It seems very popular within the company. So we are waiting for – OpenAI „spud“ (few weeks)
– Claude Mythos (Q3/2026)
– Googles Agent Smith (later this year)