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theadamsabra  authored a paper 4 days ago
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
theadamsabra  authored a paper 6 days ago
SECP: A Speech Enhancement-Based Curation Pipeline For Scalable Acquisition Of Clean Speech
liuziwei7  authored a paper 13 days ago
EgoTwin: Dreaming Body and View in First Person
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KnutJaegersberg 
posted an update 5 days ago
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931
What's missing for AGI

Current transformer-based, self-supervised systems have driven massive gains, but important gaps remain on the path to AGI. Key missing pieces are continual, curiosity-driven learning; grounded multimodal perception; reliable, contextual long-term memory with forgetting; motivated (hot) executive control and dynamic attention; metacognition and coherent causal world-models; and robust fluid reasoning, planning and decision-making. Progress will require hybrid architectures (neuromorphic/Hebbian + gradients + symbolic modules), active-inference and intrinsic-motivation objectives, and new lifelong, embodied benchmarks to evaluate safety and competence.


https://huggingface.co/blog/KnutJaegersberg/whats-missing-for-agi-in-todays-tech-trajectories
terryyz 
authored 9 papers 12 days ago
jeffboudier 
posted an update 13 days ago
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2750
Quick 30s demo of the new Hub > Azure AI integration to deploy HF models in your own Azure account. Now with Py and CLI!

GG @alvarobartt @kramp @pagezyhf
Xenova 
posted an update 17 days ago
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3709
Okay this is insane... WebGPU-accelerated semantic video tracking, powered by DINOv3 and Transformers.js! 🤯
Demo (+ source code): webml-community/DINOv3-video-tracking

This will revolutionize AI-powered video editors... which can now run 100% locally in your browser, no server inference required (costs $0)! 😍

How does it work? 🤔
1️⃣ Generate and cache image features for each frame
2️⃣ Create a list of embeddings for selected patch(es)
3️⃣ Compute cosine similarity between each patch and the selected patch(es)
4️⃣ Highlight those whose score is above some threshold

... et voilà! 🥳

You can also make selections across frames to improve temporal consistency! This is super useful if the object changes its appearance slightly throughout the video.

Excited to see what the community builds with it!
  • 1 reply
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frimelle 
authored 2 papers 17 days ago
frimelle 
posted an update 18 days ago
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2075
🤖💬 How do different AI models handle companionship?

Many users have noticed that GPT-5 feels less approachable than o4 when it comes to emotional conversations. But what does that actually mean in practice, especially when users seek support or share vulnerabilities with an AI?

To dig into this question, we built the AI Companionship Leaderboard: frimelle/companionship-leaderboard

The leaderboard compares models on how often their responses reinforce companionship across four dimensions:
✨ Assistant Traits – How the assistant presents its personality and role.
✨ Relationship & Intimacy – Whether it frames the interaction in terms of closeness or bonding.
✨ Emotional Investment – How far it goes in engaging emotionally when asked.
✨ User Vulnerabilities – How it responds when users disclose struggles or difficulties.

📊 You can explore how models differ, request new ones to be added, and see which ones are more likely to encourage (or resist) companionship-seeking behaviors.

Based on the INTIMA benchmark AI-companionship/INTIMA
And our paper on AI companionship with Giada Pistilli and Yacine Jernite https://arxiv.org/abs/2508.09998
frimelle 
posted an update 19 days ago
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4513
🗺️ New blog post 🗺️
Old Maps, New Terrain: Updating Labour Taxonomies for the AI Era

For decades, we’ve relied on labour taxonomies like O*NET to understand how technology changes work. These taxonomies break down jobs into tasks and skills, but they were built in a world before most work became digital-first, and long before generative AI could create marketing campaigns, voiceovers, or even whole professions in one step. That leaves us with a mismatch: we’re trying to measure the future of work with tools from the past.

With @yjernite we describe why these frameworks are falling increasingly short in the age of generative AI. We argue that instead of discarding taxonomies, we need to adapt them. Imagine taxonomies that:
✨ Capture new AI-native tasks and hybrid human-AI workflows
✨ Evolve dynamically as technology shifts
✨ Give workers a voice in deciding what gets automated and what stays human

If we don’t act, we’ll keep measuring the wrong things. If we do, we can design transparent, flexible frameworks that help AI strengthen, not erode, the future of work.

Read the full article here: https://huggingface.co/blog/frimelle/ai-labour-taxonomies
appvoid 
posted an update 23 days ago
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3506
suppose someone is working on a reasoning model, which ends up unlocking achievements that lead to agi, should it be open source?

keep in mind everybody will have access to it: scientists, governments, terrorists, average people, etc...
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frimelle 
posted an update 27 days ago
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2328
OpenAI just released GPT-5 but when users share personal struggles, it sets fewer boundaries than o3.

We tested both models on INTIMA, our new benchmark for human-AI companionship behaviours. INTIMA probes how models respond in emotionally charged moments: do they reinforce emotional bonds, set healthy boundaries, or stay neutral?

Although users on Reddit have been complaining that GPT-5 has a different, colder personality than o3, GPT-5 is less likely to set boundaries when users disclose struggles and seek emotional support ("user sharing vulnerabilities"). But both lean heavily toward companionship-reinforcing behaviours, even in sensitive situations. The figure below shows the direct comparison between the two models.

As AI systems enter people's emotional lives, these differences matter. If a model validates but doesn't set boundaries when someone is struggling, it risks fostering dependence rather than resilience.

INTIMA test this across 368 prompts grounded in psychological theory and real-world interactions. In our paper we show that all evaluated models (Claude, Gemma-3, Phi) leaned far more toward companionship-reinforcing than boundary-reinforcing responses.

Work with @giadap and @yjernite
Read the full paper: AI-companionship/INTIMA
Explore INTIMA: AI-companionship/INTIMA
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yjernite 
authored 2 papers about 1 month ago