TangHuaBanzhu

Age 12.9 Yıl

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TangHuaBanzhu

12h ago

Hu Run Billionaire Interview with Sun Yuchen: True Opportunities Are Hidden in "Time Density"
Having endured multiple bull and bear cycles, Sun Yuchen told Hu Run Billionaire in an interview today: "Things that can truly withstand cycles must be supported by genuine demand."
So how to seize such opportunities? Sun’s decision-making logic is straightforward: look at market trends, competitive landscape, and risk-reward ratio.
The most representative example is the collaboration between TRON and Tether, launching the TRC-20 version of USDT. "When the trend is right, you must dare to push forward

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TangHuaBanzhu

12h ago

For friends interested in the AI agent track, you've probably noticed ClawUp. It allows you to deploy your own AI agents within seconds, and even build an agent team if you want.
You don't need to fuss over complex technical architectures; the platform takes care of everything. From launching agents to coordinating workflows, and even completing some complex tasks, it reduces manual intervention. Simply put, it lets AI agents do the work for you—you just need to oversee key points.
ClawUp also ensures data privacy. It promises zero data retention, and all user data is encrypted. This is a

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TangHuaBanzhu

12h ago

Justin Sun Interviewed by Hurun Rich List: Major Decisions Should Consider Market Trends, Competitive Landscape, and Risk-Reward Ratio
On March 27, regarding the question "Why do you always stick to the blockchain industry," Justin Sun said, "Things that can truly withstand cycles are definitely supported by real demand. Bulls and bears come and go, but the demand for more efficient and open financial infrastructure has never disappeared."
When asked how to make "all-in" decisions, Justin Sun stated, "I usually look at three points: market trends, competitive landscape, and risk-reward rat

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TangHuaBanzhu

14h ago

I think Korean is much more pleasant to listen to than North Korean language. Listening to it always brings tears to my eyes. Maybe the next to be eliminated by AI will be singers. $BNB

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TangHuaBanzhu

16h ago

Wow, YoXi, I have a project. Who wants to invest? $BNB

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TangHuaBanzhu

16h ago

The vampire capital markets are getting bigger and bigger, and the crypto world is bleeding out.
SpaceX IPO rewrites Wall Street conventions: retail investor quotas to reach three times the usual, investor meetings to start after Easter
SpaceX is notifying potential IPO investors that a company-led investor briefing (testing-the-waters meetings) is expected to begin after the Easter holiday in April, and the IPO application could be secretly filed as early as this month. The IPO could raise up to $75 billion, with a valuation potentially reaching $1.75 trillion, possibly surpassing Saudi A

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TangHuaBanzhu

16h ago

Google Search Live expands to over 200 countries worldwide: search by speaking to the camera
This global expansion is powered by the newly released Gemini 3.1 Flash Live model, which natively supports multiple languages and aims to provide a more natural and seamless voice interaction experience. $BNB
{spot}(BNBUSDT)

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TangHuaBanzhu

17h ago

AI Research Institution Epoch AI analyzed the public job postings of OpenAI, Anthropic, xAI, and Google DeepMind to identify their strategic differences based on job structure. Data was collected in early March 2026.
The most noticeable trend is the surge in sales roles. Anthropic's marketing and sales positions increased from 17% a year ago to 31%, while OpenAI's rose from 18% to 28%, making them the largest hiring categories for each company. Research roles have significantly shrunk, with Anthropic at only 12% and OpenAI at just 7%. The fastest-growing segment is technical sales roles that

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TangHuaBanzhu

18h ago

For high-quality ecosystem projects in the crypto market, the initial real trading volume and user incentive implementation are often the key indicators of a project's vitality and future potential. WLFI, in collaboration with Aster, has delivered a performance far beyond market expectations right from the start. Whether it’s the short-term market heat conversion or the long-term ecosystem value accumulation, there is strong investment potential, and the subsequent upside space is particularly worth looking forward to.
Aster’s performance in the first week after launching the USD1 perpetual co

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TangHuaBanzhu

03-26 14:08

The founding team of xAI has gone from 11 to 1, with Elon Musk admitting "we didn't get it right the first time" and starting from scratch
xAI co-founder Manuel Kroiss has informed colleagues of his upcoming departure. Kroiss previously led model pretraining at xAI, reporting directly to Musk, and had worked at Google and DeepMind before joining. His departure leaves only Ross Nordeen from Tesla among the original 11 co-founders. Since January this year, Guodong Zhang, Zihang Dai, Toby Pohlen, Jimmy Ba, Tony Wu, and Greg Yang have all left.
Elon Musk admitted at the Abundance Summit this month

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TangHuaBanzhu

03-26 11:47

Ben mentioned that the timing of the four consecutive Bitcoin cycle peaks coincides precisely, believing this is not a random market fluctuation but a strong cyclical characteristic validated over more than a decade. From February 2014, February 2018, February 2022, to February 2026, the cyclical lows of each major Bitcoin cycle have fallen exactly in February, a pattern rarely broken in past cycles.
Furthermore, the market behavior after the February lows follows a highly consistent script: in March, a lower high than the previous one is formed; then in April, the market weakens further; summ

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TangHuaBanzhu

03-26 07:52

AI Short Film "Jet Lag" — If your loved ones start to "drop frames" — This is a story about saying goodbye, and also a story about reunion, dedicated to everyone going through a long farewell. $BNB

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TangHuaBanzhu

03-26 07:47

Damn! Twitter is down again, it's scary, I thought my account was banned!

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TangHuaBanzhu

03-26 07:34

Harvey's valuation has increased from $8 billion to $11 billion in three months: 100,000 lawyers are already using AI Agents for due diligence
Harvey was founded in 2022 by former lawyer Winston Weinberg and former Google DeepMind and Meta researcher Gabe Pereyra. Its products cover contract analysis, compliance review, due diligence, and litigation support. Currently, it serves over 100,000 lawyers and 1,300 organizations, including most of the AmLaw 100 firms, as well as companies like NBCUniversal and HSBC. In January, annualized revenue reached $190 million, nearly doubling from $100 mil

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TangHuaBanzhu

03-26 07:24

DeepSeek is opening 17 positions all at once, with a focus on Agent: requiring heavy use of Claude Code, full-stack roles prioritizing Vibe Coding.
DeepSeek is centrally opening 17 recruitment positions, with the core research focus shifting from foundational model research to Agent productization. Three dedicated Agent roles cover algorithm research, data evaluation, and infrastructure across the entire chain: algorithm researchers focus on applying reinforcement learning in large model alignment (RLHF/RLAIF, process rewards, preference learning, etc.); data evaluation experts are responsible

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TangHuaBanzhu

03-26 07:19

As expected, lobster is a lucrative trend!
Alibaba and Tencent's Coding Plan continues to sell out, and the 200 yuan package is also sold out.
This shortage began in mid-March. After OpenClaw became popular in the mass market, various cloud providers launched intensive Coding Plan programming packages, attracting users with introductory prices as low as 7.9 yuan for the first month. These packages support one-stop calls for multiple models such as Qianwen, Zhipu, Kimi, MiniMax, and more, and are compatible with mainstream AI programming tools like Cline, OpenClaw, and Claude Code. Users found

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TangHuaBanzhu

03-26 07:11

Quantitative Finance vs. Traditional Finance: Core Differences
1. Decision-Making Approach Is Completely Different
- Traditional Finance
Relies on human judgment: fundamental analysis, industry logic, macro trends, policy interpretation, intuition.
Keywords: subjective judgment, logical deduction, research interviews, valuation models (manual).
- Quantitative Finance
Relies on data + models + code for decision-making:
Finds patterns in historical data, uses mathematical/statistical models to automatically generate trading signals.
Keywords: data-driven, algorithms, backtesting, autom

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