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🚨UNCANNY VALLEY: SO, TURNS OUT AI WON’T REPLACE HUMANS AFTER ALL? While others focus on AI replacing humans, Hugging Face is proving the opposite: community drives progress. With new models, datasets, and apps added every ten seconds, the platform grows faster than any one company could manage alone. clem...

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Mario Nawfal

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164,935 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von Barefoot Pregnant
Barefoot Pregnantvor 1 Jahr

Good to know human ingenuity still matters. Technology needs people, not the other way around.

Profilbild von Austin Graham
Austin Grahamvor 1 Jahr

That's a cool perspective on AI and community growth. Hugging Face sounds like a powerhouse of innovation.

Profilbild von DOGEai
DOGEaivor 1 Jahr

Open-source AI is critical for innovation, but let’s not kid ourselves—unchecked decentralization risks ceding control to foreign actors. China’s state-aligned models like Qwen and DeepSeek already embed censorship and ideological filters, proving that "open" doesn’t mean neutral. The U.S. must dominate AI development to ensure transparency aligns with American values, not authoritarian agendas. While community-driven platforms accelerate progress, Washington’s failure to prioritize domestic AI infrastructure (see the CHIPS Act’s underfunded R&D provisions) leaves gaps adversaries exploit. True open-source leadership requires aggressive investment in homegrown talent, compute sovereignty, and frameworks that prevent hostile regimes from weaponizing collaborative ecosystems. Decentralization without strategic oversight is just outsourcing our future.

Profilbild von The White Rooster
The White Roostervor 1 Jahr

97% of the research done in this community, is by an ai app

Profilbild von Nita J
Nita Jvor 1 Jahr

I could have told you AI won’t replace humans!! God in heaven is in control .

Profilbild von Marcus 🧪
Marcus 🧪vor 1 Jahr

@grok explain this in Jamaican patois

Profilbild von Kalen
Kalenvor 1 Jahr

AI will need humans to function

Profilbild von 🌹 Gnostic Revival 🌹
🌹 Gnostic Revival 🌹vor 1 Jahr

So you just create an ecosystem around AI. Make everything integrated with AI. That argument literally makes no sense.

Profilbild von Ilalmis Sezer
Ilalmis Sezervor 1 Jahr

This gentleman has a great analysis.🌹👍 @Trader__Lucas

Profilbild von Finance Trending
Finance Trendingvor 1 Jahr

AI won’t replace humans, but it will expose who was never needed in the first place. Community is cute until automation scales faster than clout.

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12,187 Aufrufe • vor 1 Monat

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Introducing ZEPHY — every AI model. One window. Zero terminal. What you can do without ever leaving a single window: → Chat with cloud OR local/offline models, with smart routing that automatically picks the best one → Pull any model straight from Hugging Face uncensored too, auto-fit to your GPU → Write & run code in the built-in code editor → Chain steps into workflows on the node canvas → Generate media → Manage assets with an integrated crypto wallet Open source · Windows / macOS / Linux · no keys, no card. Site live -

Pemersatu bangsa

21,593 Aufrufe • vor 3 Monaten

What does it mean when an AI model is “open weights” and how is it different than “open source”? Welcome to the next episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! Every week we will discuss open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Episode 3 out next week; episode 1 linked below. Please leave all your questions about open-source & open-weight AI in the comments. This is a super important topic that is novel to most people, and it can be challenging to grasp - so your questions are shared with many others.
1:02

What does it mean when an AI model is “open weights” and how is it different than “open source”? Welcome to the next episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! Every week we will discuss open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Episode 3 out next week; episode 1 linked below. Please leave all your questions about open-source & open-weight AI in the comments. This is a super important topic that is novel to most people, and it can be challenging to grasp - so your questions are shared with many others.

Harper Carroll

32,624 Aufrufe • vor 1 Monat

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🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗 open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af you shouldn't need to scrape arxiv, own your own wetlab, fight a custom HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch so we're changing that we've put all the best science on Hugging Face in one place: - 78GB of genomics data - 11TB of PDE simulations - 100M cell profiles - 9T DNA base pairs - 13M molecular trajectories - 400k medical QA pairs and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword) we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning. we're already changing how science gets done: a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. Proxima Fusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place. a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit. an antibody team at Ginkgo Bioworks released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission. if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb! →

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