The Hugging Face Hub team is on a tear recently: > You can create custom apps with domains on spaces
> Edit GGUF metadata on the Fly
> 100% of the Hub is powered by Xet – faster, efficient
> Responses API support for ALL Inference Providers
> MCP-UI support for HF MCP Server
>
GENERATIVE AI
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Hugging Face Hub Launches Custom Apps, GGUF Editing, Xet Integration
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Grok Imagine: Warrior T-Shirt Design with AI-Generated Druid
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Grok Imagine prompt:
— Elon Musk (@elonmusk) 9 octobre 2025
Black t-shirt with a graphic of a fierce warrior and the text "Off Meta" on the back, laid flat on a textured surface.
The Druid emerges from the shirt, transforming from black and white to full color photorealism and casts a cataclysmic thunderstorm with… pic.twitter.com/wPsBrQCu63Grok Imagine prompt: Black t-shirt with a graphic of a fierce warrior and the text "Off Meta" on the back, laid flat on a textured surface. The Druid emerges from the shirt, transforming from black and white to full color photorealism and casts a cataclysmic thunderstorm with
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Small Fixed Data Can Poison Any Size LLM Model
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Previous research suggested that attackers might need to poison a percentage of an AI model’s training data to produce a backdoor. Our results challenge this—we find that even a small, fixed number of documents can poison an LLM of any size. Read more:
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Data-Poisoning Attacks Threaten LLMs Regardless Size
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New research with the UK @AISecurityInst and the @turinginst
: We found that just a few malicious documents can produce vulnerabilities in an LLM—regardless of the size of the model or its training data. Data-poisoning attacks might be more practical than previously believed. -
Economic Insecurity in the Age of AI Acceleration
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Nobody is safe in this economy A C C E L E R A T E
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MIT Toyota GenAI Creates Virtual Training for Home Factory Robots
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To become home & factory assistants, robots will need to train on lots of demonstrations.
— MIT CSAIL (@MIT_CSAIL) 9 octobre 2025
MIT & Toyota's GenAI tool creates virtual training grounds to help them inch toward that vision, arranging 3D items into physically realistic kitchens & restaurants: https://t.co/SGlaEly1wo pic.twitter.com/LNnwiMPMjqTo become home & factory assistants, robots will need to train on lots of demonstrations. MIT & Toyota's GenAI tool creates virtual training grounds to help them inch toward that vision, arranging 3D items into physically realistic kitchens & restaurants: https://
bit.ly/43bRbcK -
New Gemini Enterprise capabilities for contextual data and agents
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Today we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud!
— Jeff Dean (@JeffDean) 9 octobre 2025
Learn more at:https://t.co/xLr0HK3PHE
Using Gemini and agents to extract… pic.twitter.com/nMikGSnGFSToday we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud
! Learn more at: https://
cloud.google.com/blog/products/
ai-machine-learning/introducing-gemini-enterprise
… Using Gemini and agents to extract -
GPT-5 Model Routing and Web Search Capabilities
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Why? GPT-5 (auto) will likely route you to a GPT-5 model (there are many of them) that is less likely to do a web search and just produce answer your questions with results from the model itself. In the second prompt, you are asking it to access its own "past thinking" which the
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GPT-5 Thinking vs Default: Hallucinations and Source Accuracy
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AI can be confusing. How do you teach people that asking default GPT-5 a question and following up by asking for links to its sources will result in hallucinated cites while asking GPT-5 Thinking to answer a question and provide sources will get you accurate citations & links?
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Grok to Analyze Video AI Signatures and Verify Origin
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@grok will be able to analyze the video for AI signatures in the bitstream and then further research the Internet to assess origin