Google just mogged this tame impala test.
🌀 I gave 4 fast models the same Currents cover. Same prompt. One shot via aimlapi.
Constantly amazed at what you can do at home with *significant* investment (but also not boat money).
My own agent/harness running entirely on my own hardware. It's the Qwen 3.8 Flash model running on one Spark, plus all the voice models running on a…
I have to retract what I posted as the fastest speed of Qwen 3.8 Flash on a single DGX Spark.
Cruz shipped a custom ExLlamaV3 fork and a native engine path. I ran the same model on the same Spark: 102.6 max, 80 tok/s on code, 70 tok/s on…
There's been a lot of hype about Ternary Bonsai2 but fw demonstrations on how it actually compares to the full 16 bit version of Qwen 3.8 27B.
Since I have my own quantized version of that model thatI'm testing, ~12gb file size, I decided to throw Bonsai2 in there also to get a
Qwen 3.8 Omni Flash can WATCH your videos, not just read the transcript.
That means AI can finally understand what was said AND what happened on screen at the same time. Here’s how I’d test it: → Open the Qwen chat app.
I love the beautiful sadness of this
Anyway related, here is harness on a rented NVIDIA H200 141GB optimizing training of QWEN-3.8-27B on a complex reasoning task -runs a few short…
A free 1 hour course covers qwen 3.8 max start to finish
Build and automate anything with the 2.4T parameter open weight model.
Qwen 3.8 Flash + DeepSeek V4.1 Flash are FREE 😳
TokenHarbor also gave me $12 in free credits - Qwen 3.8 Flash - DeepSeek V4.1 Flash - $12 free credits claimed Use free here: base URL: use it while…
Alibaba just made video AI seriously powerful.
👀 Qwen 3.8 Omni Flash can WATCH the video, HEAR the audio, find the important moments, skip the fluff, and keep up with insanely long context.
Qwen 3.8 Max Full COURSE 1 HOUR (Build & Automate Anything)
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Qwen 3.8 omni flash — the AI that actually watches video
Alibaba just dropped an AI that watches video like a human. Sees the screen. Hears every word. At the same time. It's called Qwen 3.8 Omni Flash.
The gap in token usage v/s output for low/medium/xHigh thinking on Qwen 3.8 Flash Next (and many models similarly) is mind boggling.
I gave the same Voxel Pagoda Garden prompt to all 3 (The EXL3 4.05 bpw variant on my dgx spark) and the outcome was interesting, yet re-affirming
What a crazy week in AI!
🚀 Gemini 3.8 Live Qwen 3.8 Omni Flash Qwen 3.8 Live Translate Bonsai 2 27B Needle 3 Jev Laya Nimble Occamy ZGCM Meridian R2T2 Jing Dao Dream RSI…
Ran FlappyBench on Qwen3.8-Omni-Flash, DeepSeek-V4.1-Flash, and Gemini 3.8 Flash with the same design prompt.
🔹 Qwen 3.8 Omni Flash: 9/10 · $0.013 · smooth gameplay and cheaper 🔹 DS V4.1 Flash: 9/10 · $0.0089 one-shot with the lowest cost 🔹 Gemini 3.8…
Running Qwen 3.8 Flash Next NVFP4 on one RTX 6000 Pro 96GB.
$2/hr if you need some quick work done
Splash just launched for Apple Silicon, and it's claiming to run Qwen 3.8 27B twice as fast as anything else on a Mac.
This is a full breakdown of Splash, the new open source local inference engine from inco_ai , built specifically around two models: Qwen 3.8 27B and…
Qwen 3.8 Flash Next locally is actually blowing my mind!!
Starting to get it dialed in a bit better, it can handle very complex instructions. Having the ability to run this locally is freaking amazing!
In the spirit of WoW: Forever…
Check out the 2x2 panel of a level 1 Priest! Built in Three.js with Hermes Agent.
I made Jev (typesafeai) play clash royale.
Qwen 3.8 27B on cerebras reads the battlefield, OpenCV reads cards + elixir, and Jev picks the card + placement. fresh account, starter deck.