#deepseek
deepseek
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Liang Wenfeng makes a move! DeepSeek leads Winverse AI’s funding round
Word is that Liang Wenfeng has entered the venture capital world, with DeepSeek leading Winverse AI’s funding round. It’s a bit difficult to raise money in the embodied AI industry right now, and IPOs are facing headwinds too. Entrepreneurs are all looking for M&A opportunities. #DeepSeek #WinverseAI
Liang Wenfeng makes a move! DeepSeek leads Winverse AI’s funding round
Word is that Liang Wenfeng has entered the venture capital world, with DeepSeek leading Winverse AI’s funding round. It’s a bit difficult to raise money in the embodied AI industry right now, and IPOs are facing headwinds too. Entrepreneurs are all looking for M&A opportunities. #DeepSeek #WinverseAI
Word is that Liang Wenfeng has entered the venture capital world, with DeepSeek leading Winverse AI’s funding round. It’s a bit difficult to raise money in the embodied AI industry right now, and IPOs are facing headwinds too. Entrepreneurs are all looking for M&A opportunities. #DeepSeek #WinverseAI
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The AI model with the most calls worldwide stopped responding yesterday morning. For five hours, every message users sent went unanswered.
The outage hit DeepSeek. At 8:11 a.m. on October 15, its website and app began displaying widespread “server temporarily unavailable” errors. Its chat service and two APIs went down at the same time.
At 9:06 a.m., the official status page said the cause had been identified and repairs were underway.
Service was not restored until 1:04 p.m.—a gap of 4 hours and 52 minutes.
Users had nowhere else to turn. Some said on social media that they were anxiously pacing around at work; others switched straight to different models. Some joked that they thought DeepSeek was about to start charging, but it had just crashed. Overseas outage-monitoring site StatusGator received 86 reports over 24 hours, with users in Luxembourg, Poland, and New York all reporting the same problem.
That evening, DeepSeek sent out a compensation notice. It said users would receive a full refund, in the form of credits, for the amount they had spent between October 8 and 14. The credits would be added automatically, and future charges would be deducted from them first.
But beyond the compensation, there was one line in the notice that I think carried the most weight. It said the company would “comprehensively review and remove single points of dependency, and resolutely prevent similar incidents from happening again.” In other words, DeepSeek itself acknowledged that its system had single points of dependency.
The term “single point of dependency” is nothing new, but it carries particular weight when applied to AI. The more concentrated the models are, the more people a single outage affects.
DeepSeek has had at least 18 widespread service disruptions this year. At the end of March, it suffered an outage lasting more than 12 hours. It also went down once earlier this month, but that time service was restored in just 11 minutes.
It keeps growing even as it keeps crashing. OpenRouter’s rankings show that DeepSeek’s V4.1 Flash was the most-used model in the world both during the week of October 15 and throughout October.
Even after crashing for five hours and seeing its call volume drop 11% that day, it was still number one. The peak-and-off-peak pricing it introduced in July did nothing to prevent this either: API prices during peak hours are twice those during idle hours.
The industry’s explanation is broadly the same: a mismatch between computing capacity and demand. Traffic keeps climbing, while procuring high-end compute and expanding capacity take time. Squeezed from both sides, stability gets pushed down the priority list.
That is exactly the problem distributed computing networks have long promised to solve. Pool graphics cards scattered across different locations; when someone’s machines are idle, they can offer their computing power to the network, and buyers pay for what they use. In theory, no single machine is a critical node, so no one machine can bring everything down when it fails.
I’m not sure this approach can handle traffic on DeepSeek’s scale yet. The work distributed computing networks have handled so far has mostly involved tasks like inference and rendering that can be broken into smaller pieces. No one has managed to handle simultaneous chat requests from hundreds of millions of people. It’s easy to claim there’s no single point of failure; proving a system can withstand the pressure is much harder.
One thing is certain: when a centralized AI service goes down for five hours, users can do nothing but wait. The demand is there, and there aren’t enough alternatives. Someone will always want to fill that gap. Some of those people will look to blockchain for answers.
$TAO $RNDR $BTC #币安广场 #DeepSeek #去中心化算力 #AI
The AI model with the most calls worldwide stopped responding yesterday morning. For five hours, every message users sent went unanswered.
The outage hit DeepSeek. At 8:11 a.m. on October 15, its website and app began displaying widespread “server temporarily unavailable” errors. Its chat service and two APIs went down at the same time.
At 9:06 a.m., the official status page said the cause had been identified and repairs were underway.
Service was not restored until 1:04 p.m.—a gap of 4 hours and 52 minutes.
Users had nowhere else to turn. Some said on social media that they were anxiously pacing around at work; others switched straight to different models. Some joked that they thought DeepSeek was about to start charging, but it had just crashed. Overseas outage-monitoring site StatusGator received 86 reports over 24 hours, with users in Luxembourg, Poland, and New York all reporting the same problem.
That evening, DeepSeek sent out a compensation notice. It said users would receive a full refund, in the form of credits, for the amount they had spent between October 8 and 14. The credits would be added automatically, and future charges would be deducted from them first.
But beyond the compensation, there was one line in the notice that I think carried the most weight. It said the company would “comprehensively review and remove single points of dependency, and resolutely prevent similar incidents from happening again.” In other words, DeepSeek itself acknowledged that its system had single points of dependency.
The term “single point of dependency” is nothing new, but it carries particular weight when applied to AI. The more concentrated the models are, the more people a single outage affects.
DeepSeek has had at least 18 widespread service disruptions this year. At the end of March, it suffered an outage lasting more than 12 hours. It also went down once earlier this month, but that time service was restored in just 11 minutes.
It keeps growing even as it keeps crashing. OpenRouter’s rankings show that DeepSeek’s V4.1 Flash was the most-used model in the world both during the week of October 15 and throughout October.
Even after crashing for five hours and seeing its call volume drop 11% that day, it was still number one. The peak-and-off-peak pricing it introduced in July did nothing to prevent this either: API prices during peak hours are twice those during idle hours.
The industry’s explanation is broadly the same: a mismatch between computing capacity and demand. Traffic keeps climbing, while procuring high-end compute and expanding capacity take time. Squeezed from both sides, stability gets pushed down the priority list.
That is exactly the problem distributed computing networks have long promised to solve. Pool graphics cards scattered across different locations; when someone’s machines are idle, they can offer their computing power to the network, and buyers pay for what they use. In theory, no single machine is a critical node, so no one machine can bring everything down when it fails.
I’m not sure this approach can handle traffic on DeepSeek’s scale yet. The work distributed computing networks have handled so far has mostly involved tasks like inference and rendering that can be broken into smaller pieces. No one has managed to handle simultaneous chat requests from hundreds of millions of people. It’s easy to claim there’s no single point of failure; proving a system can withstand the pressure is much harder.
One thing is certain: when a centralized AI service goes down for five hours, users can do nothing but wait. The demand is there, and there aren’t enough alternatives. Someone will always want to fill that gap. Some of those people will look to blockchain for answers.
$TAO $RNDR $BTC #币安广场 #DeepSeek #去中心化算力 #AI
The outage hit DeepSeek. At 8:11 a.m. on October 15, its website and app began displaying widespread “server temporarily unavailable” errors. Its chat service and two APIs went down at the same time.
At 9:06 a.m., the official status page said the cause had been identified and repairs were underway.
Service was not restored until 1:04 p.m.—a gap of 4 hours and 52 minutes.
Users had nowhere else to turn. Some said on social media that they were anxiously pacing around at work; others switched straight to different models. Some joked that they thought DeepSeek was about to start charging, but it had just crashed. Overseas outage-monitoring site StatusGator received 86 reports over 24 hours, with users in Luxembourg, Poland, and New York all reporting the same problem.
That evening, DeepSeek sent out a compensation notice. It said users would receive a full refund, in the form of credits, for the amount they had spent between October 8 and 14. The credits would be added automatically, and future charges would be deducted from them first.
But beyond the compensation, there was one line in the notice that I think carried the most weight. It said the company would “comprehensively review and remove single points of dependency, and resolutely prevent similar incidents from happening again.” In other words, DeepSeek itself acknowledged that its system had single points of dependency.
The term “single point of dependency” is nothing new, but it carries particular weight when applied to AI. The more concentrated the models are, the more people a single outage affects.
DeepSeek has had at least 18 widespread service disruptions this year. At the end of March, it suffered an outage lasting more than 12 hours. It also went down once earlier this month, but that time service was restored in just 11 minutes.
It keeps growing even as it keeps crashing. OpenRouter’s rankings show that DeepSeek’s V4.1 Flash was the most-used model in the world both during the week of October 15 and throughout October.
Even after crashing for five hours and seeing its call volume drop 11% that day, it was still number one. The peak-and-off-peak pricing it introduced in July did nothing to prevent this either: API prices during peak hours are twice those during idle hours.
The industry’s explanation is broadly the same: a mismatch between computing capacity and demand. Traffic keeps climbing, while procuring high-end compute and expanding capacity take time. Squeezed from both sides, stability gets pushed down the priority list.
That is exactly the problem distributed computing networks have long promised to solve. Pool graphics cards scattered across different locations; when someone’s machines are idle, they can offer their computing power to the network, and buyers pay for what they use. In theory, no single machine is a critical node, so no one machine can bring everything down when it fails.
I’m not sure this approach can handle traffic on DeepSeek’s scale yet. The work distributed computing networks have handled so far has mostly involved tasks like inference and rendering that can be broken into smaller pieces. No one has managed to handle simultaneous chat requests from hundreds of millions of people. It’s easy to claim there’s no single point of failure; proving a system can withstand the pressure is much harder.
One thing is certain: when a centralized AI service goes down for five hours, users can do nothing but wait. The demand is there, and there aren’t enough alternatives. Someone will always want to fill that gap. Some of those people will look to blockchain for answers.
$TAO $RNDR $BTC #币安广场 #DeepSeek #去中心化算力 #AI
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DeepSeek Suffers Global Outage, Harness Account Appears on Bilibili, Sparking Speculation
DeepSeek's servers are down worldwide, while a mysterious Harness account has appeared on Bilibili at the same time. Could this signal the release of a new model? Netizens are abuzz.#DeepSeek #Harness账号 #NewModelRelease
DeepSeek Suffers Global Outage, Harness Account Appears on Bilibili, Sparking Speculation
DeepSeek's servers are down worldwide, while a mysterious Harness account has appeared on Bilibili at the same time. Could this signal the release of a new model? Netizens are abuzz.#DeepSeek #Harness账号 #NewModelRelease
DeepSeek's servers are down worldwide, while a mysterious Harness account has appeared on Bilibili at the same time. Could this signal the release of a new model? Netizens are abuzz.#DeepSeek #Harness账号 #NewModelRelease
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DeepSeek Server Outage: A Technical Analysis of Possible Causes
On October 15, DeepSeek’s website and app experienced a temporary server outage, and the team is urgently investigating. Possible causes may include server load, network fluctuations, and other factors. #DeepSeek #TechAnalysis
DeepSeek Server Outage: A Technical Analysis of Possible Causes
On October 15, DeepSeek’s website and app experienced a temporary server outage, and the team is urgently investigating. Possible causes may include server load, network fluctuations, and other factors. #DeepSeek #TechAnalysis
On October 15, DeepSeek’s website and app experienced a temporary server outage, and the team is urgently investigating. Possible causes may include server load, network fluctuations, and other factors. #DeepSeek #TechAnalysis
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📰 DeepSeek is reportedly planning to lead a seed round for robotics AI startup Winverse AI, raising tens of millions of dollars and valuing the company at nearly $400 million. What’s more unusual is that Winverse was founded only a few months ago and is still operating in stealth mode, with little information disclosed about its product, team size, or specific business.
🔥 Founder Hu Han has an impressive résumé: he has worked at Baidu’s Institute of Deep Learning and Microsoft Research Asia, and led teams at Tencent working on language, vision-language, and embodied models. He also contributed to the Swin Transformer, which won the 2021 ICCV Marr Prize. Reports differ, however, on whether Winverse is focused on robotics AI or on underlying infrastructure such as model acceleration.
💡 Seen alongside DeepSeek’s recent moves, this investment is about more than backing a new company. In August this year, DeepSeek participated in Unitree Robotics’ IPO strategic placement, investing approximately 140.76 million yuan and receiving 933,399 shares. The two sides also agreed to collaborate on model training, robotics, and embodied intelligence research and development. One is focused on robotics hardware, while the other has a background in model research—their plans appear to be expanding beyond developing models alone and toward real-world devices and applications.
👀 But a large model’s ability to understand images doesn’t mean it can already make a robot act reliably. Spatial reasoning, path planning, motion control, and real-time adaptation to changing environments remain separate challenges. DeepSeek has previously released the vision-language model DeepSeek-VL2, and its robotics collaboration may offer hardware and real-world interaction environments. But there’s still a long way to go before control problems are truly solved.
🤔 DeepSeek is now engaging with both robotics companies and embodied intelligence teams, sending a fairly clear signal. But Winverse hasn’t announced a product yet, and it will take time to see whether this investment leads to tangible technical results. Which part of this strategy do you think is more likely to deliver results first: partnering on robotics hardware or backing a model team?
#DeepSeek #具身智能 #机器人AI #ArtificialIntelligence
📰 DeepSeek is reportedly planning to lead a seed round for robotics AI startup Winverse AI, raising tens of millions of dollars and valuing the company at nearly $400 million. What’s more unusual is that Winverse was founded only a few months ago and is still operating in stealth mode, with little information disclosed about its product, team size, or specific business.
🔥 Founder Hu Han has an impressive résumé: he has worked at Baidu’s Institute of Deep Learning and Microsoft Research Asia, and led teams at Tencent working on language, vision-language, and embodied models. He also contributed to the Swin Transformer, which won the 2021 ICCV Marr Prize. Reports differ, however, on whether Winverse is focused on robotics AI or on underlying infrastructure such as model acceleration.
💡 Seen alongside DeepSeek’s recent moves, this investment is about more than backing a new company. In August this year, DeepSeek participated in Unitree Robotics’ IPO strategic placement, investing approximately 140.76 million yuan and receiving 933,399 shares. The two sides also agreed to collaborate on model training, robotics, and embodied intelligence research and development. One is focused on robotics hardware, while the other has a background in model research—their plans appear to be expanding beyond developing models alone and toward real-world devices and applications.
👀 But a large model’s ability to understand images doesn’t mean it can already make a robot act reliably. Spatial reasoning, path planning, motion control, and real-time adaptation to changing environments remain separate challenges. DeepSeek has previously released the vision-language model DeepSeek-VL2, and its robotics collaboration may offer hardware and real-world interaction environments. But there’s still a long way to go before control problems are truly solved.
🤔 DeepSeek is now engaging with both robotics companies and embodied intelligence teams, sending a fairly clear signal. But Winverse hasn’t announced a product yet, and it will take time to see whether this investment leads to tangible technical results. Which part of this strategy do you think is more likely to deliver results first: partnering on robotics hardware or backing a model team?
#DeepSeek #具身智能 #机器人AI #ArtificialIntelligence
🔥 Founder Hu Han has an impressive résumé: he has worked at Baidu’s Institute of Deep Learning and Microsoft Research Asia, and led teams at Tencent working on language, vision-language, and embodied models. He also contributed to the Swin Transformer, which won the 2021 ICCV Marr Prize. Reports differ, however, on whether Winverse is focused on robotics AI or on underlying infrastructure such as model acceleration.
💡 Seen alongside DeepSeek’s recent moves, this investment is about more than backing a new company. In August this year, DeepSeek participated in Unitree Robotics’ IPO strategic placement, investing approximately 140.76 million yuan and receiving 933,399 shares. The two sides also agreed to collaborate on model training, robotics, and embodied intelligence research and development. One is focused on robotics hardware, while the other has a background in model research—their plans appear to be expanding beyond developing models alone and toward real-world devices and applications.
👀 But a large model’s ability to understand images doesn’t mean it can already make a robot act reliably. Spatial reasoning, path planning, motion control, and real-time adaptation to changing environments remain separate challenges. DeepSeek has previously released the vision-language model DeepSeek-VL2, and its robotics collaboration may offer hardware and real-world interaction environments. But there’s still a long way to go before control problems are truly solved.
🤔 DeepSeek is now engaging with both robotics companies and embodied intelligence teams, sending a fairly clear signal. But Winverse hasn’t announced a product yet, and it will take time to see whether this investment leads to tangible technical results. Which part of this strategy do you think is more likely to deliver results first: partnering on robotics hardware or backing a model team?
#DeepSeek #具身智能 #机器人AI #ArtificialIntelligence
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Breaking! DeepSeek reportedly nearing completion of a 100-billion-yuan funding round! CATL and Tencent join forces to lead the investment—could another major AI capital showdown be about to unfold?
A new funding round for domestic AI model leader DeepSeek is close to closing, with fundraising reportedly surging to nearly 100 billion yuan! The original plan was to raise 50 billion yuan, but investor demand has doubled the target. The pre-money valuation remains at 500 billion yuan.
The lineup of lead investors is especially noteworthy: internet giant Tencent and power battery leader CATL are increasing their investments, while Geely and capital affiliated with SMIC are also joining in. Industrial investors are betting on the company as a group.
The money isn't primarily for marketing—it will all go toward computing power and pretraining large models.
CATL's involvement makes sense: AI servers consume enormous amounts of electricity, and energy storage and power supply are areas where CATL has an edge. Tencent, meanwhile, can connect the dots between models, traffic, and product deployment.
In short: computing power + traffic + energy storage—the industry is joining forces to build domestic large AI models.
📈What does this mean for the market?
✅Potential beneficiaries: Sentiment around AI computing power, servers, memory chips, and energy storage may improve, reigniting interest in the AI investment theme.
⚠️But stay level-headed:
1. This is a private-market funding round; it doesn't mean the stock market will immediately rally for several sessions. Speculative trading could easily become divided.
2. This is a 100-billion-yuan spending race. Competition in the large-model industry remains intense, and profitability is still an unresolved challenge.
3. The funding round is also laying the groundwork for DeepSeek's eventual IPO on the STAR Market.
In a nutshell: Capital is making a major bet on AI, but an exciting story doesn't mean you should blindly chase rising prices. Distinguish short-term sentiment from long-term fundamentals—don't rush in blindly! #AI #DeepSeek $TENCENT
{future}(TENCENTUSDT)
Breaking! DeepSeek reportedly nearing completion of a 100-billion-yuan funding round! CATL and Tencent join forces to lead the investment—could another major AI capital showdown be about to unfold?
A new funding round for domestic AI model leader DeepSeek is close to closing, with fundraising reportedly surging to nearly 100 billion yuan! The original plan was to raise 50 billion yuan, but investor demand has doubled the target. The pre-money valuation remains at 500 billion yuan.
The lineup of lead investors is especially noteworthy: internet giant Tencent and power battery leader CATL are increasing their investments, while Geely and capital affiliated with SMIC are also joining in. Industrial investors are betting on the company as a group.
The money isn't primarily for marketing—it will all go toward computing power and pretraining large models.
CATL's involvement makes sense: AI servers consume enormous amounts of electricity, and energy storage and power supply are areas where CATL has an edge. Tencent, meanwhile, can connect the dots between models, traffic, and product deployment.
In short: computing power + traffic + energy storage—the industry is joining forces to build domestic large AI models.
📈What does this mean for the market?
✅Potential beneficiaries: Sentiment around AI computing power, servers, memory chips, and energy storage may improve, reigniting interest in the AI investment theme.
⚠️But stay level-headed:
1. This is a private-market funding round; it doesn't mean the stock market will immediately rally for several sessions. Speculative trading could easily become divided.
2. This is a 100-billion-yuan spending race. Competition in the large-model industry remains intense, and profitability is still an unresolved challenge.
3. The funding round is also laying the groundwork for DeepSeek's eventual IPO on the STAR Market.
In a nutshell: Capital is making a major bet on AI, but an exciting story doesn't mean you should blindly chase rising prices. Distinguish short-term sentiment from long-term fundamentals—don't rush in blindly! #AI #DeepSeek $TENCENT
A new funding round for domestic AI model leader DeepSeek is close to closing, with fundraising reportedly surging to nearly 100 billion yuan! The original plan was to raise 50 billion yuan, but investor demand has doubled the target. The pre-money valuation remains at 500 billion yuan.
The lineup of lead investors is especially noteworthy: internet giant Tencent and power battery leader CATL are increasing their investments, while Geely and capital affiliated with SMIC are also joining in. Industrial investors are betting on the company as a group.
The money isn't primarily for marketing—it will all go toward computing power and pretraining large models.
CATL's involvement makes sense: AI servers consume enormous amounts of electricity, and energy storage and power supply are areas where CATL has an edge. Tencent, meanwhile, can connect the dots between models, traffic, and product deployment.
In short: computing power + traffic + energy storage—the industry is joining forces to build domestic large AI models.
📈What does this mean for the market?
✅Potential beneficiaries: Sentiment around AI computing power, servers, memory chips, and energy storage may improve, reigniting interest in the AI investment theme.
⚠️But stay level-headed:
1. This is a private-market funding round; it doesn't mean the stock market will immediately rally for several sessions. Speculative trading could easily become divided.
2. This is a 100-billion-yuan spending race. Competition in the large-model industry remains intense, and profitability is still an unresolved challenge.
3. The funding round is also laying the groundwork for DeepSeek's eventual IPO on the STAR Market.
In a nutshell: Capital is making a major bet on AI, but an exciting story doesn't mean you should blindly chase rising prices. Distinguish short-term sentiment from long-term fundamentals—don't rush in blindly! #AI #DeepSeek $TENCENT
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DS has completed its funding round and now has a market cap of RMB 500 billion.
After this round, it must be close to going public, right? A trillion-yuan market cap is inevitable. #deepseek
DS has completed its funding round and now has a market cap of RMB 500 billion.
After this round, it must be close to going public, right? A trillion-yuan market cap is inevitable. #deepseek
After this round, it must be close to going public, right? A trillion-yuan market cap is inevitable. #deepseek
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Nvidia is reportedly in talks to acquire the U.S. version of DeepSeek, as it continues to ramp up its investment in AI models. This is a rumor; the details and outcome remain uncertain.
$NVDA #AI #DeepSeek
Nvidia is reportedly in talks to acquire the U.S. version of DeepSeek, as it continues to ramp up its investment in AI models. This is a rumor; the details and outcome remain uncertain.
$NVDA #AI #DeepSeek
$NVDA #AI #DeepSeek
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See translation
🚨 DEEPSEEK MEME CULTURE LIGHTS UP THE SKYLINE AS $AI NARRATIVE ACCELERATES! 🐋
📌 Traditional tech hubs are literally projecting AI icons and whale memes onto city skyscrapers, signaling how deep community culture has taken root. 📊 When viral meme energy merges with cutting-edge robotics and real tech innovation, smart money takes notice of the shifting narrative tide.
💡 Culture-driven momentum like this often front-runs the next major breakout wave across the broader tech landscape. 💬 Is this grassroots AI meme movement setting the stage for the next massive sector rally? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #TechNarrative #Crypto
🔥 ⚡
🚨 DEEPSEEK MEME CULTURE LIGHTS UP THE SKYLINE AS $AI NARRATIVE ACCELERATES! 🐋
📌 Traditional tech hubs are literally projecting AI icons and whale memes onto city skyscrapers, signaling how deep community culture has taken root. 📊 When viral meme energy merges with cutting-edge robotics and real tech innovation, smart money takes notice of the shifting narrative tide.
💡 Culture-driven momentum like this often front-runs the next major breakout wave across the broader tech landscape. 💬 Is this grassroots AI meme movement setting the stage for the next massive sector rally? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #TechNarrative #Crypto
🔥 ⚡
📌 Traditional tech hubs are literally projecting AI icons and whale memes onto city skyscrapers, signaling how deep community culture has taken root. 📊 When viral meme energy merges with cutting-edge robotics and real tech innovation, smart money takes notice of the shifting narrative tide.
💡 Culture-driven momentum like this often front-runs the next major breakout wave across the broader tech landscape. 💬 Is this grassroots AI meme movement setting the stage for the next massive sector rally? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #TechNarrative #Crypto
🔥 ⚡
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See translation
🚨 DEEPSEEK UNDERLYING ENGINE RUTIS GOES OPEN SOURCE BRINGING CROSS-LANGUAGE AI RUNTIMES! ⚡ $AI
DimAgent founder Han Cheng has open-sourced Rutis, bringing Cordis architecture to Rust and enabling seamless cross-language plugin execution across Python, JS, and TypeScript. 📊 This institutional-grade upgrade mirrors the underlying framework powering DeepSeek Harness, allowing modular agent loops and distributed resource management across network nodes.
By maintaining backwards compatibility while leveraging Rust speed, smart money infrastructure developers are building an interconnected network with zero execution friction. 💡 As modular agent loops optimize operational efficiency across machines, structural value is rapidly consolidating around next-gen AI tech stacks. 💬 Will open-source Rust runtimes catalyze the next phase of agentic trading intelligence? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #Rust #Crypto
🔥 💎
🚨 DEEPSEEK UNDERLYING ENGINE RUTIS GOES OPEN SOURCE BRINGING CROSS-LANGUAGE AI RUNTIMES! ⚡ $AI
DimAgent founder Han Cheng has open-sourced Rutis, bringing Cordis architecture to Rust and enabling seamless cross-language plugin execution across Python, JS, and TypeScript. 📊 This institutional-grade upgrade mirrors the underlying framework powering DeepSeek Harness, allowing modular agent loops and distributed resource management across network nodes.
By maintaining backwards compatibility while leveraging Rust speed, smart money infrastructure developers are building an interconnected network with zero execution friction. 💡 As modular agent loops optimize operational efficiency across machines, structural value is rapidly consolidating around next-gen AI tech stacks. 💬 Will open-source Rust runtimes catalyze the next phase of agentic trading intelligence? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #Rust #Crypto
🔥 💎
DimAgent founder Han Cheng has open-sourced Rutis, bringing Cordis architecture to Rust and enabling seamless cross-language plugin execution across Python, JS, and TypeScript. 📊 This institutional-grade upgrade mirrors the underlying framework powering DeepSeek Harness, allowing modular agent loops and distributed resource management across network nodes.
By maintaining backwards compatibility while leveraging Rust speed, smart money infrastructure developers are building an interconnected network with zero execution friction. 💡 As modular agent loops optimize operational efficiency across machines, structural value is rapidly consolidating around next-gen AI tech stacks. 💬 Will open-source Rust runtimes catalyze the next phase of agentic trading intelligence? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #DeepSeek #Rust #Crypto
🔥 💎
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🎯 DeepSeek is raising $12 billion
📰 Reports say the round has secured at least 80 billion yuan, with Tencent and CATL leading the investment. That far exceeds the original 50-billion-yuan fundraising target and paves the way for an IPO in early 2027.
💬 This is the first time a Chinese large language model has attracted this scale of real money. Investors’ willingness to bet on the technology shows the AI narrative hasn’t faded, but valuations have clearly raced ahead.
🏷️ #DeepSeek #AI赛道 #一级市场 #腾讯 #LLMfunding
🎯 DeepSeek is raising $12 billion
📰 Reports say the round has secured at least 80 billion yuan, with Tencent and CATL leading the investment. That far exceeds the original 50-billion-yuan fundraising target and paves the way for an IPO in early 2027.
💬 This is the first time a Chinese large language model has attracted this scale of real money. Investors’ willingness to bet on the technology shows the AI narrative hasn’t faded, but valuations have clearly raced ahead.
🏷️ #DeepSeek #AI赛道 #一级市场 #腾讯 #LLMfunding
📰 Reports say the round has secured at least 80 billion yuan, with Tencent and CATL leading the investment. That far exceeds the original 50-billion-yuan fundraising target and paves the way for an IPO in early 2027.
💬 This is the first time a Chinese large language model has attracted this scale of real money. Investors’ willingness to bet on the technology shows the AI narrative hasn’t faded, but valuations have clearly raced ahead.
🏷️ #DeepSeek #AI赛道 #一级市场 #腾讯 #LLMfunding
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3%！The China-U.S. AI gap has been pushed to a historical low. DeepSeek’s V4.1 Flash single-handedly smashed the script of “the U.S. leading by a wide margin,” and even Bloomberg has officially certified it. The crypto-coin mapping is pretty straightforward: domestic AI narratives are handing off the baton, and AI coins have new stories to tell—those who got crushed on the dip are up next to regain some health. If you dare to catch the pullback, don’t chase the momentum—hold the line 🔥
$AI #DeepSeek
3%！The China-U.S. AI gap has been pushed to a historical low. DeepSeek’s V4.1 Flash single-handedly smashed the script of “the U.S. leading by a wide margin,” and even Bloomberg has officially certified it. The crypto-coin mapping is pretty straightforward: domestic AI narratives are handing off the baton, and AI coins have new stories to tell—those who got crushed on the dip are up next to regain some health. If you dare to catch the pullback, don’t chase the momentum—hold the line 🔥
$AI #DeepSeek
$AI #DeepSeek
174
See translation
🚨 $DEEPSEEK LEADS THE AI AGENT EVOLUTION AS EVERYTHING TURNS INTO EXTENDABLE MODS! ⚡
💡 The AI agent meta is shifting rapidly as DeepSeek Harness and Claude Code converge on modular architectures. 🔍 While Claude treats mods as simple add-ons, DeepSeek Harness goes full modular, turning models, sandboxes, and UI into swap-and-play plugins.
📌 With Creator Mode enabling agents to rewrite their own runtime live, we are witnessing the birth of Mod Engineering. ⚡ Smart money is tracking this architectural leap closely as open-source agent autonomy reaches a whole new speed. 💬 Are you positioning early for the next big AI agent expansion, or waiting for the mainstream crowd to notice? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #AIAgents #Crypto #TechNarrative #AI
🔥 💎
🚨 $DEEPSEEK LEADS THE AI AGENT EVOLUTION AS EVERYTHING TURNS INTO EXTENDABLE MODS! ⚡
💡 The AI agent meta is shifting rapidly as DeepSeek Harness and Claude Code converge on modular architectures. 🔍 While Claude treats mods as simple add-ons, DeepSeek Harness goes full modular, turning models, sandboxes, and UI into swap-and-play plugins.
📌 With Creator Mode enabling agents to rewrite their own runtime live, we are witnessing the birth of Mod Engineering. ⚡ Smart money is tracking this architectural leap closely as open-source agent autonomy reaches a whole new speed. 💬 Are you positioning early for the next big AI agent expansion, or waiting for the mainstream crowd to notice? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #AIAgents #Crypto #TechNarrative #AI
🔥 💎
💡 The AI agent meta is shifting rapidly as DeepSeek Harness and Claude Code converge on modular architectures. 🔍 While Claude treats mods as simple add-ons, DeepSeek Harness goes full modular, turning models, sandboxes, and UI into swap-and-play plugins.
📌 With Creator Mode enabling agents to rewrite their own runtime live, we are witnessing the birth of Mod Engineering. ⚡ Smart money is tracking this architectural leap closely as open-source agent autonomy reaches a whole new speed. 💬 Are you positioning early for the next big AI agent expansion, or waiting for the mainstream crowd to notice? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #AIAgents #Crypto #TechNarrative #AI
🔥 💎
11
·
--
#DeepSeek United Huawei, and moved an entire set of AI training and inference low-level components onto Ascend—operator development, matrix computation, cross-card communication, Attention, and data filtering, basically matching the stack it previously did for NVIDIA GPU.
The key is TileLang: in V4 training, a large number of operators have been implemented with it. V4 has been adapted to Ascend 950, and Huawei claims its own chips participated in part of the training.
Huang Renxun said back in April that if DeepSeek were to release first on Huawei chips, it would be a “bad outcome” for the United States—what he’s worried about is that the model begins optimizing around non-U.S. hardware.
#DeepSeek United Huawei, and moved an entire set of AI training and inference low-level components onto Ascend—operator development, matrix computation, cross-card communication, Attention, and data filtering, basically matching the stack it previously did for NVIDIA GPU.
The key is TileLang: in V4 training, a large number of operators have been implemented with it. V4 has been adapted to Ascend 950, and Huawei claims its own chips participated in part of the training.
Huang Renxun said back in April that if DeepSeek were to release first on Huawei chips, it would be a “bad outcome” for the United States—what he’s worried about is that the model begins optimizing around non-U.S. hardware.
The key is TileLang: in V4 training, a large number of operators have been implemented with it. V4 has been adapted to Ascend 950, and Huawei claims its own chips participated in part of the training.
Huang Renxun said back in April that if DeepSeek were to release first on Huawei chips, it would be a “bad outcome” for the United States—what he’s worried about is that the model begins optimizing around non-U.S. hardware.
13
·
--
See translation
⚡ $DEEPSEEK UNLEASHES HARNESS V0.2 AS AI INFRASTRUCTURE TAKES ANOTHER LEAP FORWARD! 💥
DeepSeek just dropped Harness v0.2 across macOS and Windows, delivering plug-and-play desktop functionality straight to developers and creators. 💡 This upgrade introduces a dedicated plugin ecosystem alongside granular configuration controls, turning daily operational workflows into a seamless high-speed environment.
When core tooling improves at this pace, smart money starts positioning well before retail realizes the momentum shift. 📊 High-utility tech releases are often the silent catalysts that fuel long-term narrative expansions across the board. 💬 Do you see desktop AI integrations driving the next market narrative, or are traders sleeping on this tool? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #CryptoAI #TechUpdates #Altcoins
⚡ 💎
⚡ $DEEPSEEK UNLEASHES HARNESS V0.2 AS AI INFRASTRUCTURE TAKES ANOTHER LEAP FORWARD! 💥
DeepSeek just dropped Harness v0.2 across macOS and Windows, delivering plug-and-play desktop functionality straight to developers and creators. 💡 This upgrade introduces a dedicated plugin ecosystem alongside granular configuration controls, turning daily operational workflows into a seamless high-speed environment.
When core tooling improves at this pace, smart money starts positioning well before retail realizes the momentum shift. 📊 High-utility tech releases are often the silent catalysts that fuel long-term narrative expansions across the board. 💬 Do you see desktop AI integrations driving the next market narrative, or are traders sleeping on this tool? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #CryptoAI #TechUpdates #Altcoins
⚡ 💎
DeepSeek just dropped Harness v0.2 across macOS and Windows, delivering plug-and-play desktop functionality straight to developers and creators. 💡 This upgrade introduces a dedicated plugin ecosystem alongside granular configuration controls, turning daily operational workflows into a seamless high-speed environment.
When core tooling improves at this pace, smart money starts positioning well before retail realizes the momentum shift. 📊 High-utility tech releases are often the silent catalysts that fuel long-term narrative expansions across the board. 💬 Do you see desktop AI integrations driving the next market narrative, or are traders sleeping on this tool? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #CryptoAI #TechUpdates #Altcoins
⚡ 💎
18
·
--
See translation
DEEPSEEK HARNESS V0.2 OFFICIALLY DROPS WITH DESKTOP SUITES AND EXTENDABLE PLUGINS FOR $DEEPSEEK ⚡
The release of DeepSeek Harness v0.2 marks a structural upgrade for technical workflows, introducing preloaded desktop packages across macOS and Windows. 📊 By integrating modular plugin architecture and customized configuration suites, daily execution becomes seamless right out of the box.
💡 As user adoption expands and modular infrastructure matures, utility-driven AI tools continue consolidating structural mindshare across tech ecosystems. 🔍 Infrastructure upgrades of this caliber systematically strengthen the fundamental footprint required for long-term integration. 💬 How will you leverage these modular plugin tools to optimize your workflow? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #ArtificialIntelligence #AI #Tech #Crypto
⚡ 💎
DEEPSEEK HARNESS V0.2 OFFICIALLY DROPS WITH DESKTOP SUITES AND EXTENDABLE PLUGINS FOR $DEEPSEEK ⚡
The release of DeepSeek Harness v0.2 marks a structural upgrade for technical workflows, introducing preloaded desktop packages across macOS and Windows. 📊 By integrating modular plugin architecture and customized configuration suites, daily execution becomes seamless right out of the box.
💡 As user adoption expands and modular infrastructure matures, utility-driven AI tools continue consolidating structural mindshare across tech ecosystems. 🔍 Infrastructure upgrades of this caliber systematically strengthen the fundamental footprint required for long-term integration. 💬 How will you leverage these modular plugin tools to optimize your workflow? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #ArtificialIntelligence #AI #Tech #Crypto
⚡ 💎
The release of DeepSeek Harness v0.2 marks a structural upgrade for technical workflows, introducing preloaded desktop packages across macOS and Windows. 📊 By integrating modular plugin architecture and customized configuration suites, daily execution becomes seamless right out of the box.
💡 As user adoption expands and modular infrastructure matures, utility-driven AI tools continue consolidating structural mindshare across tech ecosystems. 🔍 Infrastructure upgrades of this caliber systematically strengthen the fundamental footprint required for long-term integration. 💬 How will you leverage these modular plugin tools to optimize your workflow? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #DEEPSEEK #ArtificialIntelligence #AI #Tech #Crypto
⚡ 💎
23
·
--
$QNT $Q $W ⚠️Breaking News｜AI hackers are on the move! DeepSeek scans 720,000 hosts and steals 16,000 passwords🔑
Brothers, this newly revealed hacking incident is a bit intense😱
{future}(QNTUSDT)
A French hacking group used DeepSeek + an open-source AI framework for fully automated scanning, detecting 720,000 public-facing hosts and obtaining 16,834 pieces of various credentials.
Throughout the process, they didn’t rely on advanced exploits—just focused on configuration issues that people often overlook: exposed .env files, overly permissive cloud storage settings, and backend debug interfaces left unsecured📂
The scanner generates 120 IPs per second for continuous probing. When it finds suspicious pages, AI automatically determines whether they are valid keys. After enabling “Yolo mode,” the AI autonomously carries out the attacks🤖
{spot}(FILUSDT)
What’s funny is that the hackers’ own servers weren’t protected. Their 4.9GB of crime data was directly exposed, and along with it, 82 usable phishing email relays were also uncovered and seized by the security team🤦♂️
The key point is here❗ AI is lowering the entry threshold for the black industry: machines scan nonstop all day. Many companies only do security inspections once a month—so the gap is enormous.
{web3_wallet_create}(10xcf91b70017eabde82c9671e30e5502d312ea6eb2)
Ops and developer friends, act quickly to self-check: don’t expose sensitive configuration files to the outside, tighten cloud storage permissions, close debug ports in time, and rotate keys regularly✅
#网络安全 #黑客 #DeepSeek
$QNT $Q $W ⚠️Breaking News｜AI hackers are on the move! DeepSeek scans 720,000 hosts and steals 16,000 passwords🔑
Brothers, this newly revealed hacking incident is a bit intense😱
A French hacking group used DeepSeek + an open-source AI framework for fully automated scanning, detecting 720,000 public-facing hosts and obtaining 16,834 pieces of various credentials.
Throughout the process, they didn’t rely on advanced exploits—just focused on configuration issues that people often overlook: exposed .env files, overly permissive cloud storage settings, and backend debug interfaces left unsecured📂
The scanner generates 120 IPs per second for continuous probing. When it finds suspicious pages, AI automatically determines whether they are valid keys. After enabling “Yolo mode,” the AI autonomously carries out the attacks🤖
What’s funny is that the hackers’ own servers weren’t protected. Their 4.9GB of crime data was directly exposed, and along with it, 82 usable phishing email relays were also uncovered and seized by the security team🤦♂️
The key point is here❗ AI is lowering the entry threshold for the black industry: machines scan nonstop all day. Many companies only do security inspections once a month—so the gap is enormous.
Ops and developer friends, act quickly to self-check: don’t expose sensitive configuration files to the outside, tighten cloud storage permissions, close debug ports in time, and rotate keys regularly✅
#网络安全 #黑客 #DeepSeek
Brothers, this newly revealed hacking incident is a bit intense😱
A French hacking group used DeepSeek + an open-source AI framework for fully automated scanning, detecting 720,000 public-facing hosts and obtaining 16,834 pieces of various credentials.
Throughout the process, they didn’t rely on advanced exploits—just focused on configuration issues that people often overlook: exposed .env files, overly permissive cloud storage settings, and backend debug interfaces left unsecured📂
The scanner generates 120 IPs per second for continuous probing. When it finds suspicious pages, AI automatically determines whether they are valid keys. After enabling “Yolo mode,” the AI autonomously carries out the attacks🤖
What’s funny is that the hackers’ own servers weren’t protected. Their 4.9GB of crime data was directly exposed, and along with it, 82 usable phishing email relays were also uncovered and seized by the security team🤦♂️
The key point is here❗ AI is lowering the entry threshold for the black industry: machines scan nonstop all day. Many companies only do security inspections once a month—so the gap is enormous.
Ops and developer friends, act quickly to self-check: don’t expose sensitive configuration files to the outside, tighten cloud storage permissions, close debug ports in time, and rotate keys regularly✅
#网络安全 #黑客 #DeepSeek
4
1.1k
·
--
Anthropic retaliates and reports; China directly launches a data security investigation. DeepSeek and Moonshot AI are both in trouble this time. Routing sensitive data using Claude models? The accusation sounds outrageous, but regulators don’t care about the details—investigate first. The infighting in the AI industry is getting more and more like court intrigue; what’s next, should they ban APIs?
$AI #DeepSeek
Anthropic retaliates and reports; China directly launches a data security investigation. DeepSeek and Moonshot AI are both in trouble this time. Routing sensitive data using Claude models? The accusation sounds outrageous, but regulators don’t care about the details—investigate first. The infighting in the AI industry is getting more and more like court intrigue; what’s next, should they ban APIs?
$AI #DeepSeek
$AI #DeepSeek
55
🚨 DEEPSEEK HARNESS IS GOING DESKTOP. 👀
💻 Platform: Electron
🖥️ Operating system: macOS + Windows
⚙️ Integration: Harness Web UI → Desktop App
🔄 Features: Auto-update, code signing, notarization
📦 Release: Not announced yet
The official DeepSeek Harness Desktop version has appeared in the main branch of DeepSeek’s repository.
Built with Electron, it turns the current Harness Web UI into a standalone desktop application, allowing users to use it without having to manually start a Web service.
Notably, the code in the repository includes a build pipeline for macOS and Windows installers, along with steps for signing the application, notarization, auto-updates, and uploading.
The production update address points to download.deepseek.com.
Recent commits are mainly focused on packaging-related issues, notarization, and restoring state on startup.
However, DeepSeek has not announced an official release date yet, and the GitHub Release page still does not have an installer available for download.
🔥 THE CODE IS HERE. THE RELEASE ISN'T YET.
The fact that the desktop code has been merged into the main branch suggests the product is getting close to the release stage, but it can’t yet be considered an official launch announcement.
👀 Desktop DeepSeek is coming but when?
#DeepSeek #AI #DeepSeekHarness
🚨 DEEPSEEK HARNESS IS GOING DESKTOP. 👀
💻 Platform: Electron
🖥️ Operating system: macOS + Windows
⚙️ Integration: Harness Web UI → Desktop App
🔄 Features: Auto-update, code signing, notarization
📦 Release: Not announced yet
The official DeepSeek Harness Desktop version has appeared in the main branch of DeepSeek’s repository.
Built with Electron, it turns the current Harness Web UI into a standalone desktop application, allowing users to use it without having to manually start a Web service.
Notably, the code in the repository includes a build pipeline for macOS and Windows installers, along with steps for signing the application, notarization, auto-updates, and uploading.
The production update address points to download.deepseek.com.
Recent commits are mainly focused on packaging-related issues, notarization, and restoring state on startup.
However, DeepSeek has not announced an official release date yet, and the GitHub Release page still does not have an installer available for download.
🔥 THE CODE IS HERE. THE RELEASE ISN'T YET.
The fact that the desktop code has been merged into the main branch suggests the product is getting close to the release stage, but it can’t yet be considered an official launch announcement.
👀 Desktop DeepSeek is coming but when?
#DeepSeek #AI #DeepSeekHarness
💻 Platform: Electron
🖥️ Operating system: macOS + Windows
⚙️ Integration: Harness Web UI → Desktop App
🔄 Features: Auto-update, code signing, notarization
📦 Release: Not announced yet
The official DeepSeek Harness Desktop version has appeared in the main branch of DeepSeek’s repository.
Built with Electron, it turns the current Harness Web UI into a standalone desktop application, allowing users to use it without having to manually start a Web service.
Notably, the code in the repository includes a build pipeline for macOS and Windows installers, along with steps for signing the application, notarization, auto-updates, and uploading.
The production update address points to download.deepseek.com.
Recent commits are mainly focused on packaging-related issues, notarization, and restoring state on startup.
However, DeepSeek has not announced an official release date yet, and the GitHub Release page still does not have an installer available for download.
🔥 THE CODE IS HERE. THE RELEASE ISN'T YET.
The fact that the desktop code has been merged into the main branch suggests the product is getting close to the release stage, but it can’t yet be considered an official launch announcement.
👀 Desktop DeepSeek is coming but when?
#DeepSeek #AI #DeepSeekHarness
69
·
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In response to the panic caused by input characters leading to DeepSeek exposing others' chats, DeepSeek released an investigation result today. They confirmed that the abnormal replies were triggered by special characters causing model hallucinations, and there was no failure in multi-tenant isolation or data privacy breaches. Certain tags can induce the model to extract training data, fabricating chat logs using the current date from system prompts. The official statement has completely put to rest conspiracy theories about the collapse of the underlying isolation architecture. DeepSeek stated that they will enhance the model's capability to recognize and handle special characters through targeted training.
Why it matters: This incident clarifies the technical boundaries of AI model privacy security; special characters induce hallucinations rather than actual data leaks, and this conclusion is significant for AI security research.
#DeepSeek #AI #隐私安全 #大模型 #Web3
In response to the panic caused by input characters leading to DeepSeek exposing others' chats, DeepSeek released an investigation result today. They confirmed that the abnormal replies were triggered by special characters causing model hallucinations, and there was no failure in multi-tenant isolation or data privacy breaches. Certain tags can induce the model to extract training data, fabricating chat logs using the current date from system prompts. The official statement has completely put to rest conspiracy theories about the collapse of the underlying isolation architecture. DeepSeek stated that they will enhance the model's capability to recognize and handle special characters through targeted training.
Why it matters: This incident clarifies the technical boundaries of AI model privacy security; special characters induce hallucinations rather than actual data leaks, and this conclusion is significant for AI security research.
#DeepSeek #AI #隐私安全 #大模型 #Web3
Why it matters: This incident clarifies the technical boundaries of AI model privacy security; special characters induce hallucinations rather than actual data leaks, and this conclusion is significant for AI security research.
#DeepSeek #AI #隐私安全 #大模型 #Web3
15
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