Lazer_LTC @lazercuber

I require more gpus Hong Kong Joined January 2021

Tweets

371
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79
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Lazer_LTC @lazercuber

2 months ago

You’re happy, I’m happy 💚💚💚💚💚

Nimi Nightmare 💭 @niminightmare

2 months ago

You’re happy, I’m happy 💚💚💚💚💚

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Elon Musk @elonmusk

2 months ago

Memes are the most information-dense form of communication

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Lazer_LTC @lazercuber

3 months ago

寫論文突然放空的我

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Schlatt @jschlatt

5 months ago

@ExtremeBlitz__ Now, for my next trick

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Hi! I’m planning to start taking commissions on VGen, but I’ll need a little help to get started. To receive an invite code, this post needs 100 likes and 20 retweets. If you’d like to support me, I’d really appreciate it. #VGenCode My VGen profile: vgen.co/ARTOOZEE

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Nero 🪄 Stream In Pin! @SlyPerformer

5 months ago

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Arisu archive @arisu_archive

6 months ago

헐 글로벌판 pc클라 준비 중이래요!

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SaltyAom @saltyAom

6 months ago

What

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Dimitris Papailiopoulos @DimitrisPapail

6 months ago

@YungDaveDinkins I asked it to explain itself with a comic strip

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DeepSeek @deepseek_ai

6 months ago

🚀 DeepSeek-V3-0324 is out now! 🔹 Major boost in reasoning performance 🔹 Stronger front-end development skills 🔹 Smarter tool-use capabilities ✅ For non-complex reasoning tasks, we recommend using V3 — just turn off “DeepThink” 🔌 API usage remains unchanged 📜 Models are…

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lmarena.ai @lmarena_ai

6 months ago

BREAKING: Gemini 2.5 Pro is now #1 on the Arena leaderboard - the largest score jump ever (+40 pts vs Grok-3/GPT-4.5)! 🏆 Tested under codename "nebula"🌌, Gemini 2.5 Pro ranked #1🥇 across ALL categories and UNIQUELY #1 in Math, Creative Writing, Instruction Following, Longer…

Google DeepMind @GoogleDeepMind

6 months ago

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Alisa Liu @alisawuffles

6 months ago

We created SuperBPE🚀, a *superword* tokenizer that includes tokens spanning multiple words. When pretraining at 8B scale, SuperBPE models consistently outperform the BPE baseline on 30 downstream tasks (+8% MMLU), while also being 27% more efficient at inference time.🧵

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Maximilian Beck @maxmbeck

6 months ago

📢🔔I am excited to share the details on our optimized xLSTM architecture for our xLSTM 7B model!🚨 We optimized the architecture with two goals in mind: - Efficiency (in Training and Inference) and - Stability 🧵(1/7)

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Lazer_LTC @lazercuber

6 months ago

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白上フブキ🌽フブキングダム👑 @shirakamifubuki

7 months ago

I am present in the homes of all my friends!🦊🦊🦊🦊🦊🦊🦊 Hurry up and prepare the pizza! 🍕✨️🌽 - ̗̀ 𝚃𝚑𝚊𝚗𝚔 𝚢𝚘𝚞 ̖́-

ゴードン 🌽 @hky_gordon

7 months ago

I am present in the homes of all my friends!🦊🦊🦊🦊🦊🦊🦊 Hurry up and prepare the pizza! 🍕✨️🌽 - ̗̀ 𝚃𝚑𝚊𝚗𝚔 𝚢𝚘𝚞 ̖́-

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Hunyuan @TencentHunyuan

7 months ago

🚀 Introducing Hunyuan-TurboS – the first ultra-large Hybrid-Transformer-Mamba MoE model! Traditional pure Transformer models struggle with long-text training and inference due to O(N²) complexity and KV-Cache issues. Hunyuan-TurboS combines: ✅ Mamba's efficient long-sequence…