PhysiQuanty (PhysiQuanty)

reacted to their post with 🚀 3 days ago

Post

4186

🧬 You can now find out whether your cognitive soulmate has already existed among 50k anonymized profiles ✨

SpiceeChat/Check-If-Your-Soulmate-Has-Already-Existed
SpiceeChat/OkCupid-59k-Anonymized-Profiles
https://dating-fatigue.com/

You seek them: 79.7% | They may seek you: 84.1% (coming soon)

🔥 Powered by open source and too much coffee 🔥

2 replies

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reacted to their post with 🔥 4 days ago

Post

4186

🧬 You can now find out whether your cognitive soulmate has already existed among 50k anonymized profiles ✨

SpiceeChat/Check-If-Your-Soulmate-Has-Already-Existed
SpiceeChat/OkCupid-59k-Anonymized-Profiles
https://dating-fatigue.com/

You seek them: 79.7% | They may seek you: 84.1% (coming soon)

🔥 Powered by open source and too much coffee 🔥

2 replies

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posted an update 4 days ago

Post

4186

🧬 You can now find out whether your cognitive soulmate has already existed among 50k anonymized profiles ✨

SpiceeChat/Check-If-Your-Soulmate-Has-Already-Existed
SpiceeChat/OkCupid-59k-Anonymized-Profiles
https://dating-fatigue.com/

You seek them: 79.7% | They may seek you: 84.1% (coming soon)

🔥 Powered by open source and too much coffee 🔥

2 replies

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reacted to espejelomar's post with 🚀❤️ 6 days ago

Post

4694

Sharing WorldForge with @abdelstark

It's an open-source Python project for evaluating and replaying robotics and world-model workflows.

The useful part is not only calling a model. WorldForge records the run, validates action shapes, translates outputs into actions, and keeps replay artifacts you can inspect later.

The current demo uses LeRobot + LeWorldModel on PushT through the official loader:

stable_worldmodel.policy.AutoCostModel("pusht/lewm")

The harness also has replay-only paths for Cosmos-Policy and GR00T-style outputs, so you can inspect the provider contract from saved artifacts without keeping a GPU server online.

Try it:

pip install worldforge-ai
uv run --extra harness worldforge-harness --flow robotics-compare

Repo: https://github.com/AbdelStark/worldforge
Docs: https://abdelstark.github.io/worldforge/

Pre-1.0, MIT, and actively looking for contributors. Good areas:
- robotics provider adapters
- replay artifacts
- eval flows
- docs & first-run demos

Good first issues: https://github.com/AbdelStark/worldforge/contribute

If you're building robot policy evals or model adapters, would love a PR — or an issue describing what's missing.

reacted to fffiloni's post with 🚀🔥 7 days ago

Post

3078

I built HF Radio on Hugging Face Spaces 📻
fffiloni/HF-Radio

A live community radio for AI-generated songs, powered by tracks created with ACE-Step.

You can tune in, discover community-made songs in many languages, vote on what sounds good, and mark your real favorites as Bangers.

The more people listen, vote, and create, the better the station gets.

Under the hood, it connects a few Hugging Face pieces together:

Spaces for the live app, HF buckets for community tracks, OAuth for signed-in listeners, server-side streaming with ffmpeg, hourly playlist refreshes, moderation, jingles, and community feedback loops.

It’s not just a playlist.

It’s a shared taste experiment:
new songs get a shot every hour, and the community helps decide what deserves another spin.

Come listen.
Find weird gems.
Support the Bangers.
Shape the radio.

—> fffiloni/HF-Radio

replied to their post 9 days ago

Hahaha, MatchGroup wants to do machine learning, it's going to be 💀

replied to their post 9 days ago

Thank you !

replied to their post 9 days ago

To explain it better ;)

A_Search = B_Profil
&&
B_Search = A_Profil

&& = inclusive and to fulfill both conditions simultaneously

What causes ghosting on dating apps? It's that the person on the other end is a good match for you, but you're not a good match for them :(

reacted to SeaWolf-AI's post with 🔥 10 days ago

Post

5384

🧬 Darwin Family: Zero Gradient Steps, GPQA Diamond 88.89%

How far can we push LLM reasoning *without* training?

Our team at VIDRAFT submitted this paper to Daily Papers yesterday, and it's
currently #3. Huge thanks to everyone who upvoted — sharing the core ideas below.

🔗 Paper: Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning (2605.14386)
🔗 arXiv: https://arxiv.org/abs/2605.14386
🔗 Model: FINAL-Bench/Darwin-28B-REASON
🔗 Model: FINAL-Bench/Darwin-28B-Opus

---

TL;DR

Darwin Family is a training-free evolutionary merging framework.
By recombining the weight spaces of existing LLM checkpoints — with zero
gradient-based training — it reaches frontier-level reasoning.

- 🏆 Darwin-28B-Opus: GPQA Diamond 88.89%
- 💸 Zero gradient steps — not a single B200 or H200 hour needed
- 🧬 Consistent gains across 4B → 35B scale
- 🔀 Cross-architecture breeding between Transformer and Mamba families
- 🔁 Stable recursive multi-generation evolution

#Three Core Mechanisms

① 14-dim Adaptive Merge Genome — fine-grained recombination at both
component level (Attention / FFN / MLP / LayerNorm / Embedding) and block
level, expanding the prior evolutionary-merge search space.

② MRI-Trust Fusion — we diagnose each layer's reasoning contribution
via an **MRI (Model Reasoning Importance)** signal and fuse it with
evolutionary search through a **learnable trust parameter**. Trust the
diagnostic too much and search collapses; ignore it and search becomes
inefficient — Darwin learns the balance from data.

③ Architecture Mapper — weight-space breeding across heterogeneous
families. Attention × SSM crossover actually works.

Why It Matters
> Diagnose latent capabilities already encoded in open checkpoints,
> and recombine them — no gradients required.

Replies and critiques welcome 🙌

3 replies

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reacted to their post with 🔥🚀 11 days ago

Post

5109

❗ Dating apps do not allow us to control the profiles suggested to us based on our mutual search criteria ❗
🧬 If you want to see if your soulmate has already existed, I have published a dataset of 59k anonymized public profiles

SpiceeChat/OkCupid-59k-Anonymized-Profiles

Are you looking for a female ML engineer who is looking for a male ML engineer and you can't find it on the apps ?
You need to look for her, but more importantly, she needs to look for you.
Personally, I'm looking for a physicist I'm encountering the same problem. I can't find it
My answer : Paradox of choice of dating apps solved by patent ⚡ WO2026082672 ⚡
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026082672

J'ai du breveté pour te trouver et on se trouvera bientôt !

9 replies

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posted an update 11 days ago

Post

5109

❗ Dating apps do not allow us to control the profiles suggested to us based on our mutual search criteria ❗
🧬 If you want to see if your soulmate has already existed, I have published a dataset of 59k anonymized public profiles

SpiceeChat/OkCupid-59k-Anonymized-Profiles

Are you looking for a female ML engineer who is looking for a male ML engineer and you can't find it on the apps ?
You need to look for her, but more importantly, she needs to look for you.
Personally, I'm looking for a physicist I'm encountering the same problem. I can't find it
My answer : Paradox of choice of dating apps solved by patent ⚡ WO2026082672 ⚡
https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2026082672

J'ai du breveté pour te trouver et on se trouvera bientôt !

9 replies

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reacted to spillai's post with 🔥 13 days ago

Post

8721

mm-ctx – fast, multimodal context for agents.

LLM-based agents handle text incredibly well, but images, videos, or PDFs with visual content are hard to interpret. mm-ctx gives your CLI agent multi-modal skills.

Try it interactively in Spaces: vlm-run/mm-ctx

Readme: https://vlm-run.github.io/mm/
PyPI: https://pypi.org/project/mm-ctx
SKILL.md: https://github.com/vlm-run/skills/blob/main/skills/mm-cli-skill/SKILL.md

mm-ctx is meant to feel familiar: the UNIX tools we already love (find/cat/grep/wc), rebuilt for file types LLMs can't read natively and designed to work with agents via the CLI.
- mm grep "invoice #1234" ~/Downloads searches across PDFs and returns line-numbered matches
- mm cat <document>.pdf returns a metadata description of the file
- mm cat <photo>.jpg returns a caption of the photo
- mm cat <video>.mp4 returns a caption of the video

A few things we obsessed over:
⚡ Speed: Rust core for the hot paths
🏠 Local-first, BYO model: Uses any OpenAI-compatible endpoint: Ollama, vLLM/SGLang, LMStudio with any multimodal LLM (Gemma4, Qwen3.5, GLM-4.6V).
🔗 Composable: stdin + structured outputs
🤖 Drops into any agent via mm-cli-skills: Claude Code, Codex, Gemini CLI, OpenClaw.

We’d love to hear your feedback! Especially on the CLI and what file types and workflows you would like to see next.

2 replies

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reacted to imnotkitty's post with 🔥 about 1 month ago

Post

3990

tencent/Hy3-preview is out: an open-weights MoE reasoning model.

✅ 295B total / 21B active / 256K context
✅ Fused fast-and-slow thinking in a single model
✅ First model trained on Hunyuan's rebuilt pretraining + RL infra (Feb → Apr)

Benchmarks:
👉 SWE-Bench Verified, Terminal-Bench 2.0, BrowseComp, WideSearch — competitive results, particularly strong on agentic tool use
👉 Top score on Tsinghua's 2026 Spring math PhD qualifying exam
👉 Strong context-learning and instruction-following on Tencent's CL-bench / CL-bench-Life

More details can be found in my article: https://huggingface.co/blog/imnotkitty/hy3-preview

2 replies

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reacted to danielhanchen's post with 🔥 about 1 month ago

Post

5339

Qwen3.6-27B is out now! Run it locally on 18GB RAM. 💜

Qwen3.6-27B surpasses Qwen3.5-397B-A17B on all major coding benchmarks.

GGUFs to run: unsloth/Qwen3.6-27B-GGUF
Guide + MLX: https://unsloth.ai/docs/models/qwen3.6

reacted to dealermatt72's post with 🔥🚀 about 1 month ago

Post

6711

Hey Hugging Face community 👋

My name is M. I'm a solo founder and self-taught developer based in Houston, TX. I build AI-powered apps — I have an iOS app called DeFilter currently in App Store review, a security scanning platform called Sentinel, and a job marketplace called HireHuman.fyi for connecting humans with companies that prefer non-AI workers.

I'm also a poker dealer by night, which means I think a lot about reading situations in real time — and that's exactly what sparked this idea.

I'm not the most technical person in the room. But I have a vision, I have drive, and I believe the best projects get built when people with different skills come together around a shared idea.

That's why I'm posting here. I want to build this with the community.

— M (@dealermatt )

3 replies

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reacted to danielhanchen's post with 🔥 about 1 month ago

Post

5494

You can now fine-tune Gemma 4 for free with our notebooks! 🔥

You just need 8GB VRAM to train Gemma 4 locally!

Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train

5 replies

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