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
INNOVATION
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Democratizing AI: 50K Models and Local Inference Freedom
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Bringing Your Own Model to Applications via Hugging Face
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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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LoopX: AI-Powered Situational Awareness for Mining Safety
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LoopX: #AI-Powered Situational Awareness for Safer Mining Operations
— Ronald van Loon (@Ronald_vanLoon) 27 mars 2026
via @WevolverApp
#EmergingTech #Technology #Innovation #Tech pic.twitter.com/kRmRKzfu84LoopX: #AI-Powered Situational Awareness for Safer Mining Operations
via @WevolverApp #EmergingTech #Technology #Innovation #Tech -
Hugging Face Integration Added to Hermes Agent Platform
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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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AI Voice Support: Game-Changer for Customer Service
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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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Questioning the role of credentialed academic experts in AI
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What would we do without top credentialed academic experts???
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Google Turbo Quant LLM Running Locally on MacBook Air
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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/3hrWncqJtgGoogle 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 -
Major AI Tools Coming Soon from OpenAI Google Anthropic
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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)
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Neuro-symbolic AI reduces energy consumption and boosts performance
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Neuro-symbolic #AI could slash energy use while dramatically improving performance
by Mike Silver @TechXplore_com Learn more: https://
bit.ly/4d0XkOV #ArtificialIntelligence #MachineLearning #ML