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🌟MiniMax-M1: открытя reasoning‑LLM с контекстом 1M

MiniMax-M1 — первая в мире open-weight гибридная reasoning‑LLM c 1M контекстом (8× DeepSeek R1) и гибридной архитектурой MoE + lightning attention.
• 456 млрд параметров (45,9 млрд активируются на токен), сверхэффективная генерация — 25% FLOPs DeepSeek R1 на 100K токенов
• Обучение через RL с новым алгоритмом CISPO, решающим реальные задачи от математики до кодинга
• На обучение было потрачено $534K, две версии — 40K/80K “thinking budget”
• Обходит DeepSeek R1 и Qwen3-235B на бенчмарках по математике и кодингу,
• Топ результат на задачах для software engineering и reasoning



Бенчмарки:
AIME 2024: 86.0 (M1-80K) vs 85.7 (Qwen3) vs 79.8 (DeepSeek R1)

SWE-bench Verified: 56.0 vs 34.4 (Qwen3)

OpenAI-MRCR (128k): 73.4 vs 27.7 (Qwen3)

TAU-bench (airline): 62.0 vs 34.7 (Qwen3)

LongBench-v2: 61.5 vs 50.1 (Qwen3)


➡️ Попробовать можно здесь

Hugging Face: https://huggingface.co/collections/MiniMaxAI/minimax-m1-68502ad9634ec0eeac8cf094
GitHub: https://github.com/MiniMax-AI/MiniMax-M1
Tech Report: https://github.com/MiniMax-AI/MiniMax-M1/blob/main/MiniMax_M1_tech_report.pdf


@ai_machinelearning_big_data

#llm #reasoningmodels #minimaxm1
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🌟MiniMax-M1: открытя reasoning‑LLM с контекстом 1M

MiniMax-M1 — первая в мире open-weight гибридная reasoning‑LLM c 1M контекстом (8× DeepSeek R1) и гибридной архитектурой MoE + lightning attention.
• 456 млрд параметров (45,9 млрд активируются на токен), сверхэффективная генерация — 25% FLOPs DeepSeek R1 на 100K токенов
• Обучение через RL с новым алгоритмом CISPO, решающим реальные задачи от математики до кодинга
• На обучение было потрачено $534K, две версии — 40K/80K “thinking budget”
• Обходит DeepSeek R1 и Qwen3-235B на бенчмарках по математике и кодингу,
• Топ результат на задачах для software engineering и reasoning



Бенчмарки:
AIME 2024: 86.0 (M1-80K) vs 85.7 (Qwen3) vs 79.8 (DeepSeek R1)

SWE-bench Verified: 56.0 vs 34.4 (Qwen3)

OpenAI-MRCR (128k): 73.4 vs 27.7 (Qwen3)

TAU-bench (airline): 62.0 vs 34.7 (Qwen3)

LongBench-v2: 61.5 vs 50.1 (Qwen3)


➡️ Попробовать можно здесь

Hugging Face: https://huggingface.co/collections/MiniMaxAI/minimax-m1-68502ad9634ec0eeac8cf094
GitHub: https://github.com/MiniMax-AI/MiniMax-M1
Tech Report: https://github.com/MiniMax-AI/MiniMax-M1/blob/main/MiniMax_M1_tech_report.pdf


@ai_machinelearning_big_data

#llm #reasoningmodels #minimaxm1

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Telegram auto-delete message, expiring invites, and more

elegram is updating its messaging app with options for auto-deleting messages, expiring invite links, and new unlimited groups, the company shared in a blog post. Much like Signal, Telegram received a burst of new users in the confusion over WhatsApp’s privacy policy and now the company is adopting features that were already part of its competitors’ apps, features which offer more security and privacy. Auto-deleting messages were already possible in Telegram’s encrypted Secret Chats, but this new update for iOS and Android adds the option to make messages disappear in any kind of chat. Auto-delete can be enabled inside of chats, and set to delete either 24 hours or seven days after messages are sent. Auto-delete won’t remove every message though; if a message was sent before the feature was turned on, it’ll stick around. Telegram’s competitors have had similar features: WhatsApp introduced a feature in 2020 and Signal has had disappearing messages since at least 2016.

How Does Telegram Make Money?

Telegram is a free app and runs on donations. According to a blog on the telegram: We believe in fast and secure messaging that is also 100% free. Pavel Durov, who shares our vision, supplied Telegram with a generous donation, so we have quite enough money for the time being. If Telegram runs out, we will introduce non-essential paid options to support the infrastructure and finance developer salaries. But making profits will never be an end-goal for Telegram.

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