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MINIMAX EQUITY INCENTIVE PLAN SIGNALS LONG TERM COMMITMENT TO CORE AI TALENT 🎯 The recent issuance of 1.16 million shares by MiniMax highlights a aggressive strategy to retain top-tier engineering talent. By locking in key personnel like Zhaopengyu with a 66-month vesting schedule, the firm is signaling a multi-year focus on their large language model development roadmap. This structure prioritizes human capital stability over short-term performance targets, effectively aligning the core team with the long-term enterprise valuation. With significant equity now tied to the company's future, does this move signal a shift in how AI firms secure their competitive advantage? Not financial advice. Always manage your risk. #MINIMAX #AI #TechStocks #MarketStructure #Equity 🎯
MINIMAX EQUITY INCENTIVE PLAN SIGNALS LONG TERM COMMITMENT TO CORE AI TALENT 🎯

The recent issuance of 1.16 million shares by MiniMax highlights a aggressive strategy to retain top-tier engineering talent. By locking in key personnel like Zhaopengyu with a 66-month vesting schedule, the firm is signaling a multi-year focus on their large language model development roadmap.

This structure prioritizes human capital stability over short-term performance targets, effectively aligning the core team with the long-term enterprise valuation. With significant equity now tied to the company's future, does this move signal a shift in how AI firms secure their competitive advantage?

Not financial advice. Always manage your risk.

#MINIMAX #AI #TechStocks #MarketStructure #Equity

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MINIMAX IS LOCKING IN TOP TALENT WITH A MASSIVE SIX BILLION DOLLAR EQUITY GRANT 💎 The company just issued over 1.1 million shares to its core team and research leads, signaling a major commitment to long-term growth. With key executives tied to a 66-month vesting schedule, this move shows they are playing the long game in the competitive AI space. It is rare to see this level of equity distribution before a major product cycle, but the management team clearly prioritizes talent retention over short-term cash flow. Do you think this aggressive incentive structure will pay off for their market position? Not financial advice. Always manage your risk. #MINIMAX #AI #TechStocks #Equity #MarketUpdate 💎
MINIMAX IS LOCKING IN TOP TALENT WITH A MASSIVE SIX BILLION DOLLAR EQUITY GRANT 💎

The company just issued over 1.1 million shares to its core team and research leads, signaling a major commitment to long-term growth. With key executives tied to a 66-month vesting schedule, this move shows they are playing the long game in the competitive AI space.

It is rare to see this level of equity distribution before a major product cycle, but the management team clearly prioritizes talent retention over short-term cash flow. Do you think this aggressive incentive structure will pay off for their market position?

Not financial advice. Always manage your risk.

#MINIMAX #AI #TechStocks #Equity #MarketUpdate

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minimax contract trading launches with $480,000 in long positions on $MINIMAX Entry: 60.7 One trader has taken a short position with 10x leverage and an average entry price of 60.6. The launch of MINIMAX contract trading has attracted significant attention, with a substantial amount of capital flowing into long positions. This development is noteworthy, especially considering the current market speculation and pressure on the stock price. Not financial advice. Manage your risk. #MINIMAX #ContractTrading #LongSetup ⚠️
minimax contract trading launches with $480,000 in long positions on $MINIMAX

Entry: 60.7
One trader has taken a short position with 10x leverage and an average entry price of 60.6.

The launch of MINIMAX contract trading has attracted significant attention, with a substantial amount of capital flowing into long positions. This development is noteworthy, especially considering the current market speculation and pressure on the stock price.

Not financial advice. Manage your risk.

#MINIMAX #ContractTrading #LongSetup

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MiniMax dishes out over HK$600 million in equity incentives, the AI talent battle heats up Hong Kong stock AI company MiniMax (0100.HK) announced that it has allocated a total of over HK$600 million in share rewards. Among these, Zhao Pengyu, head of large language models, bagged HK$129 million, with all rewards having no performance targets but featuring a clawback mechanism. Co-founder and CEO Yan Junjie previously stated that his management logic is "distributing more funds, not waiting for results, but giving it now." Why it matters: The competition for AI talent is entering a fierce phase, and substantial equity incentives are becoming standard tools for Chinese AI companies, with long-term commitments to core R&D teams being crucial for corporate success. #AI #MiniMax #大模型 #ArtificialIntelligence
MiniMax dishes out over HK$600 million in equity incentives, the AI talent battle heats up

Hong Kong stock AI company MiniMax (0100.HK) announced that it has allocated a total of over HK$600 million in share rewards. Among these, Zhao Pengyu, head of large language models, bagged HK$129 million, with all rewards having no performance targets but featuring a clawback mechanism. Co-founder and CEO Yan Junjie previously stated that his management logic is "distributing more funds, not waiting for results, but giving it now."

Why it matters: The competition for AI talent is entering a fierce phase, and substantial equity incentives are becoming standard tools for Chinese AI companies, with long-term commitments to core R&D teams being crucial for corporate success.

#AI #MiniMax #大模型 #ArtificialIntelligence
The launch of MINIMAX contract trading on the Hyperliquid HIP-3 ecosystem has garnered significant attention, with approximately $480,000 in long positions and a current price of $60.7 for $MINIMAX . Entry: 60.7 🔥 Target: 70 🚀 Stop Loss: 55 ⚠️ This development is notable, especially considering the recent market speculation and pressure on MiniMax's stock price. The price has dropped by around 53% in the first two weeks of June due to concerns about a potential increase in the floating supply and a rating downgrade by Morgan Stanley. Not financial advice. Manage your risk. #MINIMAX #LongSetup #ContractTrading ❌
The launch of MINIMAX contract trading on the Hyperliquid HIP-3 ecosystem has garnered significant attention, with approximately $480,000 in long positions and a current price of $60.7 for $MINIMAX .

Entry: 60.7 🔥
Target: 70 🚀
Stop Loss: 55 ⚠️

This development is notable, especially considering the recent market speculation and pressure on MiniMax's stock price. The price has dropped by around 53% in the first two weeks of June due to concerns about a potential increase in the floating supply and a rating downgrade by Morgan Stanley.

Not financial advice. Manage your risk.

#MINIMAX #LongSetup #ContractTrading
On the first day of MINIMAX's on-chain contract launch, a trader went short with 10x leverage. Today, Hyperliquid HIP-3 ecosystem has launched MINIMAX (MiniMax) contract trading. As of this writing, approximately $480,000 in positions have been opened for MINIMAX. A trader shorted MINIMAX using 10x leverage as the stock price faces pressure from the unlocking expectations. The on-chain contract market's reaction to AI concept stocks is accelerating. Why it matters: On-chain contracts for AI concept stocks provide Web3 users with a new trading dimension, but they also bring higher volatility risk. #Hyperliquid #MINIMAX #AI #contract trading
On the first day of MINIMAX's on-chain contract launch, a trader went short with 10x leverage.

Today, Hyperliquid HIP-3 ecosystem has launched MINIMAX (MiniMax) contract trading. As of this writing, approximately $480,000 in positions have been opened for MINIMAX. A trader shorted MINIMAX using 10x leverage as the stock price faces pressure from the unlocking expectations. The on-chain contract market's reaction to AI concept stocks is accelerating.

Why it matters: On-chain contracts for AI concept stocks provide Web3 users with a new trading dimension, but they also bring higher volatility risk.

#Hyperliquid #MINIMAX #AI #contract trading
MiniMax was 'forced' by devs to drop prices by 50% permanently, AI model price wars heating up Just two weeks post-launch, the flagship model MiniMax-M3 on the MiniMax open platform has undergone a dramatic price adjustment. After a collective backlash from developers against a stealth price hike, MiniMax was compelled to offer a 'permanent 50% discount': input prices dropped from $0.60 to $0.30 per million tokens, and output prices fell from $2.40 to $1.20. The pricing power in the AI model market is shifting from vendors to the developer community. Why it matters: The trend towards transparent AI model pricing is unstoppable, and the collective bargaining power of the developer community is reshaping the profit distribution framework in the AI supply chain. #MiniMax #AI #大模型 #pricewar
MiniMax was 'forced' by devs to drop prices by 50% permanently, AI model price wars heating up

Just two weeks post-launch, the flagship model MiniMax-M3 on the MiniMax open platform has undergone a dramatic price adjustment. After a collective backlash from developers against a stealth price hike, MiniMax was compelled to offer a 'permanent 50% discount': input prices dropped from $0.60 to $0.30 per million tokens, and output prices fell from $2.40 to $1.20. The pricing power in the AI model market is shifting from vendors to the developer community.

Why it matters: The trend towards transparent AI model pricing is unstoppable, and the collective bargaining power of the developer community is reshaping the profit distribution framework in the AI supply chain.

#MiniMax #AI #大模型 #pricewar
MiniMax M3 Officially Open-Sourced: 428 Billion Parameters Native Multimodal Model, Supports Million Contexts The domestic large model provider MiniMax has officially open-sourced their native multimodal mixture of experts (MoE) model, MiniMax M3, on Hugging Face. It boasts a total of 428 billion parameters, with 23 billion parameters activated per token, natively supporting 1 million ultra-long contexts. The team also released an MXFP8 quantized version, compatible with mainstream frameworks like SGLang and vLLM. The model supports both Thinking/Non-thinking dual inference modes and achieves joint training of text, images, and video during the pre-training phase. Why it Matters: This marks the first time a domestic large model has simultaneously reached SOTA levels in native multimodal capabilities, million ultra-long contexts, and open-source weights across three dimensions, significantly lowering the barrier for developers to integrate complex multimodal capabilities into AI applications. #MiniMax #AI #开源 #大模型 #multimodal
MiniMax M3 Officially Open-Sourced: 428 Billion Parameters Native Multimodal Model, Supports Million Contexts

The domestic large model provider MiniMax has officially open-sourced their native multimodal mixture of experts (MoE) model, MiniMax M3, on Hugging Face. It boasts a total of 428 billion parameters, with 23 billion parameters activated per token, natively supporting 1 million ultra-long contexts. The team also released an MXFP8 quantized version, compatible with mainstream frameworks like SGLang and vLLM. The model supports both Thinking/Non-thinking dual inference modes and achieves joint training of text, images, and video during the pre-training phase.

Why it Matters: This marks the first time a domestic large model has simultaneously reached SOTA levels in native multimodal capabilities, million ultra-long contexts, and open-source weights across three dimensions, significantly lowering the barrier for developers to integrate complex multimodal capabilities into AI applications.

#MiniMax #AI #开源 #大模型 #multimodal
MiniMax open-source math proof framework MaxProof: Using evolutionary search to push M3 to the IMO gold standard MiniMax founder Yan Junjie announced the open-source math proof framework MaxProof. This framework automatically selects the right difficulty training data through evolutionary search, eliminating the need for manual labeling, ultimately pushing MiniMax M3 to the international math olympiad gold benchmark. This is a significant open-source contribution from the Chinese AI team in the field of mathematical reasoning, following DeepSeek. Why it matters: MaxProof addresses the pain points of high training data labeling costs and difficulty matching in AI mathematical reasoning, and it has the potential to accelerate breakthroughs in AI applications in scientific research and complex reasoning. #AI #MiniMax #大模型 #artificialintelligence
MiniMax open-source math proof framework MaxProof: Using evolutionary search to push M3 to the IMO gold standard

MiniMax founder Yan Junjie announced the open-source math proof framework MaxProof. This framework automatically selects the right difficulty training data through evolutionary search, eliminating the need for manual labeling, ultimately pushing MiniMax M3 to the international math olympiad gold benchmark. This is a significant open-source contribution from the Chinese AI team in the field of mathematical reasoning, following DeepSeek.

Why it matters: MaxProof addresses the pain points of high training data labeling costs and difficulty matching in AI mathematical reasoning, and it has the potential to accelerate breakthroughs in AI applications in scientific research and complex reasoning.

#AI #MiniMax #大模型 #artificialintelligence
MiniMax officially launches the M3 model: coding and agent tasks reach cutting-edge levels MiniMax has rolled out the MiniMax M3 model, featuring the brand-new MSA (MiniMax Sparse Attention) architecture, supporting up to 1M ultra-long context. This multimodal model can handle image and video inputs as well as desktop operations. It achieves cutting-edge performance in specialized tasks like coding and agents. Why it matters: The 1M context and multimodal capabilities of MiniMax M3 signify a continued breakthrough by Chinese AI teams in the general AI space, with the MSA sparse attention architecture providing a new technical pathway for long-context reasoning. #MiniMax #AI #人工智能 #大模型 #Web3
MiniMax officially launches the M3 model: coding and agent tasks reach cutting-edge levels

MiniMax has rolled out the MiniMax M3 model, featuring the brand-new MSA (MiniMax Sparse Attention) architecture, supporting up to 1M ultra-long context. This multimodal model can handle image and video inputs as well as desktop operations. It achieves cutting-edge performance in specialized tasks like coding and agents.

Why it matters: The 1M context and multimodal capabilities of MiniMax M3 signify a continued breakthrough by Chinese AI teams in the general AI space, with the MSA sparse attention architecture providing a new technical pathway for long-context reasoning.

#MiniMax #AI #人工智能 #大模型 #Web3
$MU AND $INTC CORE POSITIONS REMAIN PROFITABLE DESPITE RECENT MARKET VOLATILITY 🎯 Entry: 505.30 🔥 Target: 65.29 🚀 Market structure analysis of this specific whale address reveals a consistent accumulation strategy on $MU and $INTC . While a recent $MINIMAX position was liquidated for a minor loss during a broader market pullback, the core holdings in Micron and Intel maintain unrealized gains exceeding 110 percent. The data indicates a disciplined approach to capital scaling, moving from an initial 30,000 base to over 7.8 million in total position value. This highlights the effectiveness of holding through volatility when the underlying thesis remains intact. Do you prioritize holding core positions or capturing short-term swings? Not financial advice. Always manage your risk. #MU #INTC #MINIMAX #MarketStructure #WhaleWatch 🎯
$MU AND $INTC CORE POSITIONS REMAIN PROFITABLE DESPITE RECENT MARKET VOLATILITY 🎯

Entry: 505.30 🔥
Target: 65.29 🚀

Market structure analysis of this specific whale address reveals a consistent accumulation strategy on $MU and $INTC . While a recent $MINIMAX position was liquidated for a minor loss during a broader market pullback, the core holdings in Micron and Intel maintain unrealized gains exceeding 110 percent.

The data indicates a disciplined approach to capital scaling, moving from an initial 30,000 base to over 7.8 million in total position value. This highlights the effectiveness of holding through volatility when the underlying thesis remains intact. Do you prioritize holding core positions or capturing short-term swings?

Not financial advice. Always manage your risk.

#MU #INTC #MINIMAX #MarketStructure #WhaleWatch

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AI SECTOR PULLBACK: IS THIS A BUYING OPPORTUNITY OR A TRAP? 📉 The recent cooling in the Hong Kong AI application sector is catching my attention today. Seeing double-digit drops in names like $WISEMW and $MINIMAX usually signals that the weaker hands are getting shaken out of their positions. I am watching the volume profiles closely to see if these levels hold or if we see further distribution. When the hype dies down, that is usually when the real value buyers start to show their faces. Are you looking to add to your AI positions or staying on the sidelines for now? Not financial advice. Always manage your risk. #AI #CryptoTrading #MarketUpdate #WiseMW #Minimax 🎯
AI SECTOR PULLBACK: IS THIS A BUYING OPPORTUNITY OR A TRAP? 📉

The recent cooling in the Hong Kong AI application sector is catching my attention today. Seeing double-digit drops in names like $WISEMW and $MINIMAX usually signals that the weaker hands are getting shaken out of their positions.

I am watching the volume profiles closely to see if these levels hold or if we see further distribution. When the hype dies down, that is usually when the real value buyers start to show their faces. Are you looking to add to your AI positions or staying on the sidelines for now?

Not financial advice. Always manage your risk.

#AI #CryptoTrading #MarketUpdate #WiseMW #Minimax

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