- The provided content does not include any quantitative models or factors, nor their construction, evaluation, or backtesting results. The documents primarily focus on market performance, sentiment, capital flows, ETF premiums/discounts, block trades, and institutional activity, without delving into quantitative investment models or factor analysis. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]

Market Overview - The A-share market showed mixed performance today, with the Shanghai Composite Index down by 0.31% closing at 4126.09 points, while the Shenzhen Component Index rose by 0.56% to 14248.60 points. The ChiNext Index increased by 0.82% to 3349.14 points. Overall, 2742 stocks rose and 2591 fell, with a total trading volume of 39,414 billion yuan, an increase of 2,904 billion yuan compared to the previous trading day [1][13]. Industry Performance - Among the Shenwan first-level industries, the leading sectors included Computer, Comprehensive, Communication, Media, and Electronics, with gains of 3.42%, 2.90%, 1.91%, 1.55%, and 1.36% respectively. Conversely, the Banking, Real Estate, Non-bank Financials, Transportation, and Food & Beverage sectors experienced declines of 1.88%, 1.18%, 0.84%, 0.76%, and 0.73% respectively [1][13]. Concept Sectors - The top-performing concept sectors today included Pinduoduo partners, Xiaohongshu platform, ChatGPT, AIGC, stablecoins, Kimi, intelligent agents, data elements, e-commerce, WEB3.0, big data, cloud computing, digital government, Douyin Doubao, and live streaming sales [2][11].

Market Overview - The A-share market indices all rose today, with the Shanghai Composite Index increasing by 1.09% to close at 4165.29 points, the Shenzhen Component Index rising by 1.75% to 14366.91 points, the Sci-Tech 50 up by 2.43% to 1511.84 points, and the ChiNext Index gaining 1.82% to 3388.34 points [1][10] - Overall, 4141 stocks rose while 1179 stocks fell, with a total trading volume of 3601.4 billion yuan, an increase of 478.7 billion yuan compared to the previous trading day [1] Industry Performance - Among the Shenwan first-level industries, the leading sectors included Media, Computer, National Defense and Military Industry, Social Services, and Communication, with respective increases of 7.80%, 7.26%, 5.66%, 3.21%, and 2.74% [1][14] - Conversely, the Oil and Petrochemical, Coal, and Real Estate sectors experienced declines, with decreases of 1.00%, 0.47%, and 0.29% respectively [1][14] Concept Sectors - The top-performing concept sectors today included Kimi, Pinduoduo partners, Xiaohongshu platform, Satellite Internet, ChatGPT, Intelligent Agents, Virtual Humans, DeepSeek, Chinese Corpus, AIGC, Internet Celebrity Economy, Douyin Doubao, Multimodal Models, WEB3.0, and Commercial Aerospace [2][12]

Market Overview - The A-share market showed a general upward trend today, with the Shanghai Composite Index rising by 0.92% to close at 4120.43 points, and the Shenzhen Component Index increasing by 1.15% to 14120.15 points [1] - The ChiNext Index rose by 0.77% to 3327.81 points, while the Sci-Tech 50 Index increased by 1.43% to 1475.97 points [1] - Overall, 3918 stocks rose, while 1344 stocks fell, with a total trading volume of 31,227 billion yuan, an increase of 3,224 billion yuan compared to the previous trading day [1] Industry Performance - Among the Shenwan first-level industries, sectors such as Media, Comprehensive, National Defense and Military Industry, Computer, and Nonferrous Metals led the gains, with increases of 5.31%, 3.60%, 3.29%, 2.90%, and 2.78% respectively [1] - Conversely, the Banking and Non-Banking Financial sectors experienced declines of 0.44% and 0.20% respectively [1] Concept Sector Performance - The top-performing concept sectors today included Pinduoduo partners, Xiaohongshu platform, Kimi, Douyin Doubao, WEB3.0, Virtual Humans, ChatGPT, AIGC, Internet Celebrity Economy, Rare Metals Selection, Multimodal Models, Short Drama Games, Intelligent Agents, Chinese Corpus, and Live Streaming E-commerce [2] - In contrast, sectors such as Silicon Energy, Power Equipment Selection, Photovoltaic Glass, Insurance Selection, and Banking Selection saw a pullback [2]

Core Viewpoint - A marriage in the Netherlands was declared invalid by the court because the marriage certificate was written using an AI tool, ChatGPT, which did not comply with Dutch legal requirements [1] Group 1: Legal Context - The marriage was registered on April 19, 2025, in Zwolle, Overijssel, where a friend acted as the registrar and used ChatGPT to draft the marriage certificate [1] - According to Dutch civil law, the couple must make a formal declaration of acceptance of each other as spouses in the presence of the registrar and witnesses for the marriage to be valid [1] - The court ruled that the AI-generated certificate lacked the necessary legal declarations, leading to the marriage being deemed invalid [1] Group 2: Emotional Impact - The couple expressed emotional distress due to missing their original registration date and requested the court to allow them to still register their marriage on April 19, 2025, but the court did not accept their request [1]

Group 1 - The Danish Prime Minister Mette Frederiksen stated that if U.S. President Trump orders an attack on Greenland, it could lead to the end of the NATO military alliance that has existed for over 70 years [1] - Frederiksen emphasized that the U.S. should take Trump's claims about wanting Greenland seriously, and clarified that a military attack on another NATO country would end everything, including NATO and the collective security established after World War II [1] - U.S. White House Deputy Chief of Staff Stephen Miller refused to directly deny the possibility of military action regarding Greenland, while asserting that the U.S. should incorporate Greenland into its territory [1]

Group 1 - The article reports that some U.S. military assets involved in the January 3 operation against Venezuela have withdrawn from the Caribbean region [1] - On January 4, 12 U.S. Air Force F-22 fighter jets returned to the mainland from Puerto Rico after participating in the "Absolute Resolve" operation targeting Venezuela [1]

Group 1 - Ukrainian President Zelensky is expected to meet with US President Trump on Sunday to discuss sensitive issues, including the future of the Donbas region and the Zaporizhzhia nuclear power plant [4] - Moscow's recent statements raise doubts about the prospects for a final ceasefire agreement [4] Group 2 - Rent prices in major US cities have decreased, marking one of the most tenant-friendly periods in a decade, with median rent in November at $1,693, down approximately 1% year-on-year [7] - The median rent across the US has fallen to $1,367, a decline of 1.1% year-on-year, with expectations for continued low rents until early 2026 [7] Group 3 - Oracle's stock is on track for its worst quarter since 2001, having dropped 30% so far, amid concerns about its ability to support OpenAI with additional server capacity [9][10] - Oracle's quarterly revenue and free cash flow fell below expectations, and the new CFO has requested a capital expenditure of $50 billion for fiscal 2026, a 43% increase from previous plans [10] Group 4 - Target is facing pressure from an activist investor after experiencing nearly a one-third drop in stock price this year and reporting its 12th consecutive quarter of negative or nearly zero sales growth [12] Group 5 - Spot gold and silver prices have reached historic highs, driven by geopolitical tensions and a weakening dollar, with gold surpassing $4,540 per ounce and silver exceeding $77 per ounce [14] Group 6 - Global M&A transaction volume has surpassed $4 trillion for the first time since 2021, with a nearly 50% increase year-on-year, driven by a record number of large deals [16] - The year saw 68 transactions valued at over $10 billion, reshaping various industries and supported by favorable market conditions and financing [16]

RT Avi Chawla (@_avichawla)I built my own ChatGPT from scratch, and you can too.Karpathy's nanochat is a single, clean, minimal, and hackable codebase to build a modern LLM.By setting this up, you'll learn how to:> train a tokenizer from the ground up> pre-training: master next-word prediction> mid-training: teach the model to hold conversations> sft: fine-tune on high-quality dialogue datasets> evaluate and log every step of the processI've done this on a LightningAI studio, and you can reproduce everythin ...

Technology & AI - The report highlights the possibility of building a personalized ChatGPT from scratch [1] - It references Karpathy's nanochat as a minimal codebase for building modern LLMs [1] - The setup process involves learning to train a tokenizer [2] - The setup process involves mastering next-word prediction through pre-training [2] Learning Objectives - The report focuses on learning how to train a tokenizer from the ground up [2] - The report focuses on pre-training to master next-word prediction [2]