Maziyar PANAHI ✓
@MaziyarPanahi · joined 22 Oct 2010
the on-device open AI guy | building @OpenMed_AI | making open models @arcee_ai | AI infra & research @CNRS
19 125Followers
337Following
36 100Posts total
653.9KViews on collected posts
Latest posts
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the top 4 trending models on @huggingface when i checked: all under 30B parameters.
seems people are excited about smaller models 😅
they want intelligence they can actually run on their own hardware. https://t.co/wcVsnPMlLN
1.5K views · 23 likes
· 5 reposts · 3 replies
Open on X →
i want to see how much of my life i can run on this little NVIDIA Jetson Nano 😅
which model would you load first, and what job would you give it? give me a model + a useful task. i'll try your suggestions and share what actually works. https://t.co/y7iNGsbU0R
4.5K views · 42 likes
· 4 reposts · 12 replies
Open on X →
wait, you can play the Qwen game now 😅
Qwen3.8-27B built this game for me. i finished it in Codex, made the art with ImageGen, and put it on @huggingface.
HF Spaces are such a nice free home for little LLM-built games!
https://t.co/zf7MelVVjE
2.3K views · 25 likes
· 4 reposts · 4 replies
Open on X →
wait, this is actually more interesting than the pricing:
DeepSeek is now #1 on OpenRouter with 23.7% of text requests. Google’s share has fallen to 20%.
OpenRouter is not the whole market, obviously. but people vote with their tokens! https://t.co/cjCjF4lCx1
3.3K views · 30 likes
· 5 reposts · 8 replies
Open on X →
there is a war going on over who can serve deepseek-v4-flash-0731 cheaper! i've never burned more tokens on an API for a few dollars! https://t.co/DQ21mJxQN3
38.8K views · 490 likes
· 13 reposts · 26 replies
Open on X →
@MaziyarPanahi this looks boring. AI games is never actually going to be a thing. Ai world building, sure, but what makes a thing fun? it will never know
7.2K views · 214 likes
· 0 reposts · 2 replies
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and the courtyard, weapon and targets are original assets generated with ChatGPT Image by @OpenAI.
no remote assets at runtime. everything you see in the video is loading locally.
13.1K views · 17 likes
· 2 reposts · 5 replies
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the generation route:
@Alibaba_Qwen Qwen3.8 27B
→ @huggingface Inference Providers
→ @FeatherlessAI
model: https://t.co/fokxLWNnxt
the finished game itself runs locally in the browser.
16.5K views · 30 likes
· 1 reposts · 1 replies
Open on X →
wtf, i asked Qwen3.8 27B to build me an FPS and now i'm in a Chinese courtyard shooting porcelain drones 😭
mouse lock, sprint, reload, hold Z for a tactical scope. fully local in the browser.
Qwen wrote the game pass. ChatGPT Image made the world + assets. ridiculous. https://t.
403.5K views · 1.1K likes
· 53 reposts · 112 replies
Open on X →
0:20
here's the multilingual model with 16 languages support, recommended for content that is not just English: https://t.co/pNbROFDlFx
2K views · 16 likes
· 0 reposts · 0 replies
Open on X →
@MaziyarPanahi Hadn't you already identified the PII before the way point? https://t.co/Tw1XIm8qxG
961 views · 6 likes
· 0 reposts · 2 replies
Open on X →
Find the demo in the examples on OpenMed github repo: https://t.co/fgQW20RAV6
3.5K views · 28 likes
· 4 reposts · 0 replies
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This is privacy-filter-nemotron-v2, our fine-tune of OpenAI's privacy-filter, running on-device via MLX on a Mac Studio (M3 Ultra). 55 fine-grained PII categories. Weights on Hugging Face:
https://t.co/agIwnBrtte
4.5K views · 93 likes
· 7 reposts · 3 replies
Open on X →
We got 755 tokens per second! 🔥
That's OpenMed privacy-filter v2 (nemotron, MLX 8-bit) reading a 13,000-token clinical file and redacting every identifier as it streams by. 1,152 caught across 22 PII categories, on a Mac. Nothing left the machine. https://t.co/SeoCvSIiGA
152.2K views · 1.6K likes
· 109 reposts · 58 replies
Open on X →
0:20
Against accounts of the same size
14 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views4 486this account949median for 10K–100K
Reach, %23.46%this account3.31%median for 10K–100K
Engagement, %1.22%this account1.88%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 4 486 | 949 | 4.73× |
| Reach (views ÷ followers) | 23.46% | 3.31% | 7.09× |
| Engagement rate | 1.22% | 1.88% | 0.65× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
152.2K4 Jul
4.5K
3.5K
961
2K
403.5K15 Aug
16.5K
13.1K
7.2K
38.8K6 Sep
3.3K
2.3K7 Sep
4.5K
1.5K8 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.15%4 Jul
2.29%
0.92%
0.83%
0.80%
0.32%15 Aug
0.20%
0.18%
3.00%
1.37%6 Sep
1.29%
1.44%7 Sep
1.30%
2.09%8 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.88%.
What the audience does
Likes57.4%3 668 in total
Reposts3.2%207 in total
Replies3.7%236 in total
Quotes0.9%58 in total
Bookmarks34.8%2 223 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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