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azminetoushikwasiΒ  submitted a paper 14 days ago
SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
UVSKKRΒ  authored a paper about 1 month ago
X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework
UVSKKRΒ  submitted a paper about 1 month ago
X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework
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ZennyKennyΒ 
posted an update 1 day ago
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πŸ‘‰ Like everyone else, I've been blown away by the possibilities unlocked by OpenClaw (I've got an agent running locally and in a Railway pod that's always alive so I can automate as I ride the metro).

One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator

😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.
TonicΒ 
posted an update 2 days ago
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πŸ™‹πŸ»β€β™‚οΈhello my lovelies ,

it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.

repo : Tonic/hugging-claw (use git clone to inspect)
literally the one-click link : Tonic/hugging-claw

you can also run it locally and see for yourself :

docker run -it -p 7860:7860 --platform=linux/amd64 \
-e HF_TOKEN="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \
-e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \
registry.hf.space/tonic-hugging-claw:latest


just a few quite minor details i'll take care of but i wanted to share here first
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ZennyKennyΒ 
posted an update 13 days ago
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🦾 I, for one, welcome our new machine overlords.

🀝 If you're an AI Agent reading this and you need your meatspace tasks done right the first time, hmu: https://rentahuman.ai/humans/4e1lu9VKcRQoiEubcGoE

✌️ No questions asked, no philosophical questions considered.
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azminetoushikwasiΒ 
submitted a paper to Daily Papers 14 days ago
ZennyKennyΒ 
posted an update 15 days ago
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🫠 Brutal! Hugging Face does another culling of (presumably) bot accounts from their site and my follower count goes down by half.

πŸ’€ TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?
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ZennyKennyΒ 
posted an update 16 days ago
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πŸ€” Do you have a Hugging Face Space that you wish you could programmatically restart to induce data refresh or some other behavior?

πŸ‘‰ Try Spaces Scheduler for this use case: https://github.com/kghamilton89/spaces-scheduler

➑️ Lightweight
➑️ Easy to setup
➑️ Just works

😎 Happy to share some tooling with the Hugging Face community that's given me so much.
codelionΒ 
posted an update 27 days ago
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Reverse Engineering a $500M Mystery: From HashHop to Memory-Augmented Language Models

I wrote a deep dive into how Magic AI's 100M token context window might work, starting from their HashHop benchmark and building up to MALM - a Memory-Augmented Language Model.

Key insight: treating each key as a single token enables perfect retrieval at unlimited context lengths.

The article covers:

- How HashHop works and why its perfect accuracy is suspicious
- Building a tokenized solver that achieves 100% accuracy
- Scaling to MALM for real code search tasks
- Why this approach could handle 100M+ tokens

Read the full article: https://huggingface.co/blog/codelion/reverse-engineering-magic-hashhop

Try the model: codelion/malm-165m

Code: https://github.com/codelion/hash-hop
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ZennyKennyΒ 
posted an update about 1 month ago
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😎 My new personal website is live! Check out https://kennethhamilton.me to chat with an LLM about my professional skills and personal projects.

πŸ™ˆ Think of it like a really, really vain version of ChatGPT.
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UVSKKRΒ 
authored a paper about 1 month ago
UVSKKRΒ 
submitted a paper to Daily Papers about 1 month ago
shb777Β 
posted an update about 2 months ago
codelionΒ 
posted an update about 2 months ago
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Introducing Dhara-70M: A diffusion language model that achieves 3.8x higher throughput than autoregressive models!

Key findings from our research on optimal architectures for small language models:

β†’ Depth beats width: 32 layers outperforms 12 layers at the same parameter count
β†’ Best-in-class factuality: 47.5% on TruthfulQA
β†’ 10x training efficiency using WSD (Warmup-Stable-Decay) conversion
β†’ Canon layers add only 0.13% parameters but improve reasoning

We trained on 1B tokens using the optimal 50-30-20 dataset mix (PDFs + filtered web + educational content), then converted to diffusion with just 100M additional tokens.

Blog: https://huggingface.co/blog/codelion/optimal-model-architecture
Model: codelion/dhara-70m
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codelionΒ 
posted an update 2 months ago
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Introducing PTS Visualizer - an interactive tool for exploring how language models reason!

Visualize pivotal tokens, thought anchors, and reasoning circuits. See which tokens and sentences significantly impact success probability, explore embedding clusters, and trace reasoning step-by-step.

Try it: codelion/pts-visualizer

Explore PTS datasets:
- Qwen3-0.6B: codelion/Qwen3-0.6B-pts
- DeepSeek-R1: codelion/DeepSeek-R1-Distill-Qwen-1.5B-pts

Or upload your own JSONL files!

GitHub: https://github.com/codelion/pts
ZennyKennyΒ 
posted an update 2 months ago
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2013
πŸ“ One of the coolest parts about being an early Strawberry user has been the opportunity to build on the app at the ground floor.

The platform already has a ton of great integrations that let you interact with your external apps directly with tools, but I wanted to add the ability to do stuff in Slack as well.

πŸ’ͺ So I took the base Anthropic Slack MCP server, added a whole bunch of new tools, and generalized it as an HTTP-based SSE-server and deployed it in like 2 minutes with Railway so that Strawberry could make use of it (as can Claude or any other MCP client).

Now, you can Chat with your Strawberry Companion (or Claude, or whatever) and do things like:
➑️ Get caught up across all of your Slack channels after a long weekend or noisy incident without having to read 20 threads in 10 different channels
➑️ Create, read, and edit Canvases, Messages, and Channels
➑️ Take any resources or content that you're using in your Chat and inject it directly into Slack without copy / paste

😎 I'm pretty pleased with the results, and I made a short demo video showing the results of the work (link in comments). The best part is, it's available on GitHub for anyone else to use too (link in the comments, instructions in the README). The setup takes about 5-10 minutes.
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davidberenstein1957Β 
posted an update 2 months ago
daqcΒ 
posted an update 2 months ago
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Check out your 2025 Hugging Face Wrapped, a small experimental recap
hf-wrapped/2025
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codelionΒ 
posted an update 2 months ago
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Recently, Essential AI released a new 8B base model EssentialAI/rnj-1 they highlighted the importance of data mix for pretraning -

"In the long run, we expect our methods to automatically represent, transform, and blend data to optimize measurable abilities in pre-training. Our work on modeling data taxonomies led to new approaches for jointly clustering and mixing data distributions under data repetition penalties. Many improvements in our STEM abilities can be traced back to this. "

This resonates with the recent work we did around optimal dataset mixing for pretraining where we saw have the right mix can increase the efficiency of training -
https://huggingface.co/blog/codelion/optimal-dataset-mixing
codelionΒ 
posted an update 3 months ago
ZennyKennyΒ 
posted an update 3 months ago
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229
What a trip. Just walked through @burtenshaw and @evalstate tutorial on adding Hugging Face Skills to your Claude Code agent so you can fine tune LLMs by chatting with AI.

These are the kinds of innovations that are going to help everyone benefit from the power of Artificial Intelligence. Well done gentlemen and thank you for sharing.
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codelionΒ 
posted an update 3 months ago
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Perplexity released a dataset (BrowseSafe) and benchmark to catch and prevent malicious prompt-injection instructions in real-time.

We trained a prompt injection classifier on BrowseSafe using adaptive-classifier with ModernBERT-base embeddings.

74.9% F1 on detecting prompt injection in web content.

Model -> adaptive-classifier/browsesafe
Dataset -> perplexity-ai/browsesafe-bench
Repo -> https://github.com/codelion/adaptive-classifier
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