.@Google is diving deeper into the Bitcoin mining world after backing a deal that gives the tech giant a more than 5% stake in Nasdaq-listed miner Cipher. https://t.co/gc6RPuiMBW ...

Core Insights - The Risk Asia Awards 2025 recognize excellence in various categories related to risk management and financial services across Asia [1][2][3] Group 1: Derivatives Awards - Derivatives house of the year for Asia is awarded to UBS [1] - Other notable winners include Daiwa Securities for Japan, Crédit Agricole CIB for Hong Kong and South Korea, and OCBC Bank for Singapore [1] - The award for derivatives house of the year in China goes to Shenwan Hongyuan Securities, while CTBC Bank wins for Taiwan [1] Group 2: Specialized Awards - Standard Chartered is recognized as the interest rate derivatives house of the year [1] - BofA Securities wins the currency derivatives house of the year award [1] - UBS is awarded both equity and credit derivatives house of the year [1] Group 3: Technology and Risk Solutions - Murex is named technology vendor of the year and also wins for system support and implementation [2] - S&P Dow Jones Indices is recognized for quantitative investment solutions [2] - FactSet is awarded for risk solutions [2] Group 4: Compliance and Risk Management - The best AI solution for risk management is awarded to SAS Institute [2] - Wolters Kluwer receives multiple awards for various risk management solutions including IFRS 9 and credit risk management [2] - NICE Actimize is recognized for its AML solution of the year [2]

Market Sentiment - The current market sentiment is characterized by emotional reactions, particularly among investors who are optimistic about technology stocks despite high valuations [1][3] - Investors who sold technology assets have realized significant gains, while those who bought in recently are feeling left out of the rally [3] Investment Strategies - There is a notable difference in performance between investors: those who bought "old tech" assets have seen returns close to 100% over the past year, while those investing in "new tech" assets have seen returns of less than 20% [1] - The article emphasizes the importance of understanding the difference between investing and speculating, suggesting that many investors still struggle with this concept [3] Market Trends - The article predicts that the major indices will not decline before the holiday season and may even reach new highs, driven by sectors like liquor, securities, banking, and insurance [5] - The current market behavior is compared to earlier in the month, where a shift from banking stocks to technology stocks is anticipated, indicating a controlled market rhythm [5] Personal Investment Reflections - The author reflects on their own investment experience, noting that after reducing exposure to the ChiNext index, they have limited holdings in technology stocks, which has affected their ability to hedge against market downturns [7] - The need for a balanced mindset and patience in navigating the market is highlighted, especially after experiencing fluctuations in portfolio value [7]

Core Insights - The Qianfan-VL series consists of three versions: 3B, 8B, and 70B, each designed for different application scenarios [1] - Qianfan-VL is a multimodal AI model capable of understanding both images and text, excelling in OCR and educational applications [3] - The model has been trained on Baidu's self-developed Kunlun chip P800, which offers significant advantages in power efficiency and performance [6][7] Model Specifications - The Qianfan-VL-3B has a context length of 32k and is suitable for real-time scenarios and OCR text recognition, while the 8B and 70B versions support server-side general scenarios and complex reasoning [2] - The 70B version achieved a near-perfect score of 98.76 in the ScienceQA test, outperforming several international competitors [4] Performance Comparison - In the Chinese multimodal benchmark CCBench, Qianfan-VL-70B scored 80.98, significantly higher than its peers, indicating a strong understanding of Chinese context [5] - The model excels in mathematical problem-solving tests, demonstrating a clear lead over competitors [5] Chip Technology - The Kunlun chip P800, which powers the Qianfan-VL model, features a unique XPU-R architecture that separates computing and communication units, enhancing efficiency [8] - The chip's power consumption ranges from 150W to 160W, making it more energy-efficient compared to competitors like NVIDIA A100 and H100 [7] Training Methodology - The training process involves a four-stage pipeline, including cross-modal alignment, general knowledge injection, domain-specific knowledge enhancement, and post-training for instruction following [10][14] - The model's training utilized a total of 2.66 trillion tokens of general knowledge data, ensuring a robust foundational understanding [14] Availability - The entire Qianfan-VL model series is open-sourced on platforms like GitHub and Hugging Face, allowing enterprises and developers to access and utilize the models freely [16]

Nearly All Coders Now Use AI—But Nobody Trusts It, Google Finds► https://t.co/GghRjBtnEL https://t.co/GghRjBtnEL ...

U.S. equities experienced a notable pullback in afternoon trading on Wednesday, September 24, 2025, as a robust multi-day rally lost momentum. Major indexes drifted lower, with investors taking profits and digesting recent comments from Federal Reserve Chair Jerome Powell regarding elevated asset valuations. While the broader market saw a pause, specific sectors and individual stocks demonstrated significant movements, highlighting ongoing themes of artificial intelligence investment and shifting economic s ...

AI firms have mostly scoured all large public data sets for information they can use to improve their models. Indian users are a valuable new source of material to crunch https://t.co/zQlZSgKGzq ...

Core Insights - MedX Holdings is expanding its franchise operations with five new locations, including two in Texas and three in Maryland, alongside a flagship store in Las Vegas [1][2][3] Franchise Expansion - The new franchise locations include Houston and San Marcos in Texas, with projected openings in Q1 2026, and a signed development agreement for three locations in Maryland, marking the first multi-unit commitment in the Mid-Atlantic region [2] - The Las Vegas flagship store is set to open in early 2026, with deposits already submitted for architectural and HVAC build-out requirements [3] Strategic Positioning - CEO Hans Enriquez emphasized that the expansion is about positioning the brand at the intersection of culture, cannabis, and compliance, with the Las Vegas store serving as a statement piece for the Lazydaze brand [4] Revenue Growth Potential - The addition of these franchises is expected to generate future recurring revenue, enhancing the company's ability to scale operations across the nation [4][6] - The company anticipates surpassing its $1.5 million revenue target for FY25, driven by new store openings and market momentum in Texas and New Mexico [7] Integrated Platform Approach - MedX is building a platform that includes Lazydaze +Coffeeshop, a cannabis-native point-of-sale system (Leaf-trak), and an e-commerce engine (Smart Brand Digital) to support franchisees and corporate locations [5] Investor Appeal - The MedX model is described as capital-efficient, franchisable, and technology-enabled, targeting strategic partnerships to enhance deployment and distribution while creating long-term shareholder value [8]

South Korea’s Pangyo continues to anchor the nation’s tech economy, though accessibility and competition test its edge. https://t.co/F7A3ypP4CA ...

Group 1 - High yield ETFs and closed-end funds experience capital and distribution decay, which can be mitigated through rotational strategies rather than long-term investments [1] - A 5-factor ranking system was designed in 2016 to monitor performance and identify the top eight closed-end funds for investment [1] Group 2 - The investing group Quantitative Risk & Value focuses on quality dividend stocks and tech innovation companies, providing various market risk indicators and investment strategies [2] - The leader of the investing group has over 30 years of experience in technology and has been utilizing data-driven systematic strategies since 2010 [2]