ひみこin𝕏 retweeted
plusユーザーはopenAIには何の利益も生み出さないんだなという冷遇さを甘受している
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
2024年8月に受け取った145匹のAkyoたちは、今月のアップデートにて設置完了となりました。
また、総アバター数は657になりました。
#HimikoAvatarWorld
【総アバター数4⃣7⃣6⃣】 #HimikoAvatarWorld
前回から少し空いてしまいましたが、8月のアップデート情報です！
今回は1⃣9⃣アバターが追加されました！
アバター探しに遊びにきてね✌️
#VRChat #VRChatworld紹介
昨日試しにDotsと喋りながら作業してもらってたんだけど、無音が続くと突然「今作業してるよ待っててね確認してるよ待っててね確認してるよ今作業してるよ待っててね確認してるよ今作業してるよ待っててね確認してるよ」みたいに壊れることがあって
ホラー体験～
ひみこin𝕏 retweeted
So excited to get this out:
LFM3 is finally here!
The first release in the LFM3 family contains six models in 2B-class size:
• LFM3-1.7B: to run thousands of tiny agents in parallel
• LFM3-VL-2B: now with video support
• LFM3-Audio-2B: Speech in AND speech out
• LFM3-Omni-2B: our first ever omni model
• d1-2B and d1-Omni-2B: with new types
They are all built on the same shared LFM3-1.7B-Base.
These are super powerful to fine-tune them into tiny specialists in your domain.
Weights on Hugging Face: huggingface.co/collections/L…
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
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