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Risenshine! Here is digest of signals harvested on 2026-09-13.
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Markets
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International - 09/11 |
+0.5866% -2.2795% MoM | +0.6948% -5.4304% MoM | +0.8626% -0.889% MoM | +1.5571% -1.931% MoM |
+1.5571% -1.931% MoM | +1.1723% -1.051% MoM | +0.4591% -3.9093% MoM | -0.5291% -1.3493% MoM |
+0.6353% +0.8992% MoM | +0.6204% -1.0109% MoM | -0.0225% +0.9404% MoM | +0.4076% -2.1005% MoM |
+2.1983% +0.7874% MoM | +0.9561% -2.7628% MoM | +1.827% +4.4547% MoM | +0.2225% +0.3118% MoM |
+0.7492% -0.0595% MoM | -0.6826% +2.5207% MoM | -0.5018% -1.8388% MoM | -0.0262% +1.0844% MoM |
+1.2729% +1.2729% MoM | +0.3987% -1.9593% MoM | +1.277% +0.4818% MoM | +0.2656% +1.0446% MoM |
-0.5148% +3.2194% MoM |
Commodities - 09/11 |
+0.608% -1.5188% MoM | +1.0783% -1.5916% MoM | -2.1972% +21.6811% MoM | +0.806% +2.0075% MoM |
-1.3302% +3.9152% MoM | -0.9426% +1.7689% MoM | +0.3586% -2.099% MoM | -0.1963% -0.2941% MoM |
-0.4498% +9.4505% MoM | -1.7222% +7.7586% MoM | -3.2667% -3.6947% MoM | -0.4456% -4.9462% MoM |
Favorites - 09/11 |
+1.3664% -2.5198% MoM | +2.4881% +6.8747% MoM | +0.6478% +0.6498% MoM | -0.0321% -2.5882% MoM |
-1.7392% -1.9572% MoM | +0.1023% -20.0807% MoM | +1.9413% -3.9285% MoM | +0.6817% -12.7136% MoM |
+0.148% -14.3942% MoM | +4.1742% -2.6042% MoM | +2.6116% +1.9713% MoM | -0.22% +7.0197% MoM |
+2.8777% +11.5901% MoM | +4.0271% +8.7617% MoM | +1.7454% +9.9322% MoM | +0.117% -8.867% MoM |
Sectors - 09/11 |
+0.8524% -1.0615% MoM | -0.1811% -1.8285% MoM | +0.6682% -1.1568% MoM | +0.8595% -2.405% MoM |
+1.8631% -3.5748% MoM | +0.316% -12.96% MoM | +0.374% -2.7142% MoM | +0.5393% -7.4771% MoM |
-0.3572% +6.5025% MoM | +1.9992% -6.7809% MoM |
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Gainers
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ChampionsGate Acquisition Corporation Rights +152.6% ... | Solid Power, Inc. Warrant +120.9% Solid Power Inc develops solid-state battery technology and manufacturing processes. Its sulfide-based solid electrolyte material replaces the liquid or gel electrolyte used in tra... |
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Losers
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Nuveen Municipal Credit Opportunities Fund Rights (expiring October 7, 2026) -49.2% ... | Algoma Steel Group Inc. Warrant -42.6% Algoma Steel Group Inc is a fully integrated steel producer of hot and cold rolled steel products, including coiled sheet and plate, strategically located. The firm operates in a s... |
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Business
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Rising Distrust in US Federal Institutions: Analysis of Public Perception Trends and Impact on Policy Communication |
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🗺 Background:- Public trust in US federal institutions has declined significantly over the past decade, with polls showing less than 40% of Americans expressing confidence in government communication.
- Major areas of distrust include federal messaging about elections, healthcare, and jobs, as highlighted in multiple national surveys.
- Misinformation, politicization, and inconsistent policy responses have contributed to deteriorating public perceptions since at least 2016.
- Trust erosion has been observed across demographics, but is especially pronounced among younger adults and independent voters.
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🎩 Key stakeholders:- Federal institutions affected include the US Congress, CDC, FDA, and the Department of Homeland Security.
- Key individuals in the policy communication sphere include President Joe Biden, CDC Director Mandy Cohen, and Senate Majority Leader Chuck Schumer.
- Media outlets such as AP-NORC and Fortune play significant roles in reporting trends and shaping public opinion.
- Polling organizations like AP-NORC provide data-driven insights on changing public perceptions.
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➡ Potential consequences:- In the near-term, increased distrust may hinder effective federal emergency responses and public health campaigns.
- Medium-term impacts may include reduced policy compliance, challenges for upcoming elections, and potential escalation in misinformation.
- Federal agencies may need to overhaul communication strategies to rebuild public trust and restore credibility.
- Ongoing skepticism could threaten bipartisan efforts and legislative achievements by weakening public support.
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Security Protocols for High-Profile Political Figures: Evaluating Airspace Risks Following the Zelenskyy Incident |
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🗺 Background:- Volodymyr Zelenskyy, President of Ukraine, was flying from Moldova to Oslo on September 10, 2026.
- High-profile political figures face elevated risks when traveling through international airspace, especially near conflict zones.
- Recent events have raised concerns about the adequacy of current security protocols for such figures.
- Airspace management and monitoring are critical for ensuring the safety of state leaders during transit between countries.
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🎩 Key stakeholders:- Volodymyr Zelenskyy, President of Ukraine, is the central political figure involved.
- NATO member states, particularly those close to the Russia-Ukraine conflict, are responsible for regional airspace security.
- Moldovan airspace authorities played a role in monitoring the Zelenskyy flight route.
- Russian military actors are implicated due to the drone incident near Moldovan airspace.
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➡ Potential consequences:- Near-term, security protocols for high-profile politicians may be revised to increase surveillance and risk assessment over conflict-adjacent airspace.
- Medium-term, NATO airspace management might implement new joint procedures to prevent unauthorized drone activity.
- Potential diplomatic tensions between Russia, Ukraine, Moldova, and NATO allies could rise following such incidents.
- International flight routes for political leaders may be altered to avoid high-risk airspace.
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Strategic Adaptations of Western Retailers in China: Case Study of Walmart China’s Customer-Centric Approach |
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🗺 Background:- Western retailers have faced challenges in China, with many struggling to adapt to local consumer preferences.
- Walmart entered China in 1996 and has since expanded its footprint across the country.
- The Chinese retail market is highly competitive, with domestic and international brands vying for market share.
- Customer-centric strategies have become essential for success among Western retailers operating in China.
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🎩 Key stakeholders:- Christina Zhu is the CEO of Walmart China and leads the company's adaptation strategies.
- Walmart China is a subsidiary of U.S.-based Walmart Inc., a Fortune 500 company.
- Chinese consumers are key stakeholders influencing retail business models.
- Other Western brands such as Starbucks and Lululemon have struggled to sustain growth in China.
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➡ Potential consequences:- Near-term, Walmart China may increase market share by aligning its retail strategies with local preferences.
- Walmart's customer-centric approach could set a new standard for Western retailers seeking success in China.
- Medium-term, competitors may be forced to pivot strategies or exit the market if they fail to adapt.
- Success in China could become a blueprint for Walmart's strategies in other emerging markets.
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Implications of AI Adoption on Employment Patterns in Indian Banking: Assessing Axis Bank’s Workforce Strategies |
🗺 Background:- Axis Bank is a leading private-sector bank in India, known for rapid technology adoption.
- Artificial Intelligence (AI) is increasingly being integrated into Indian banking for process automation and efficiency.
- AI adoption in banking is reshaping workforce requirements and hiring patterns.
- Banks like Axis Bank have significantly invested in AI-driven platforms since 2022.
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🎩 Key stakeholders:- Amitabh Chaudhry, CEO of Axis Bank, is central to AI workforce strategy.
- Axis Bank, headquartered in Mumbai, is a major stakeholder in Indian banking transformation.
- Bloomberg and industry analysts are monitoring employment shifts in Indian banks.
- Government regulators and Indian Banking Association play a role in AI policy and workforce oversight.
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💡 News facts:- On September 10, 2026, Bloomberg reported that Axis Bank aims to slow hiring due to its AI push as stated by CEO Amitabh Chaudhry.
- CEO Amitabh Chaudhry said, "Our hope is that, at least to start with, there is no need to continue to increase the headcount at the same pace as before," on September 10, 2026.
- Axis Bank’s workforce growth rate may decrease as AI systems automate more functions, according to the Bloomberg report published September 10, 2026.
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➡ Potential consequences:- In the near-term, Axis Bank may reduce job openings for entry-level roles as AI replaces routine tasks.
- Medium-term impacts could include increased demand for staff skilled in AI management, analytics, and digital banking platforms.
- Broader Indian banking sector may follow Axis Bank’s lead, resulting in industry-wide workforce re-skilling challenges.
- Regulatory scrutiny on AI-driven employment changes may intensify in the medium term.
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The Generational Impact on US Debt Accumulation: Examining Decision-Making Processes During Baby Boomers’ Leadership Tenure |
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🗺 Background:- The U.S. national debt rose to $40 trillion during Baby Boomers' 25-year leadership in the presidency, Congress, and corporate leadership.
- Baby Boomers' fiscal decisions beginning in the 1990s significantly increased long-term national financial obligations.
- Policy shifts and spending priorities during Boomers' tenure have shaped the current trajectory of U.S. debt.
- Intergenerational transfer of financial responsibility became pronounced as Boomers retired and younger generations inherited this debt.
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🎩 Key stakeholders:- Baby Boomers, born between 1946 and 1964, held key leadership positions across government and corporate America from the 1990s through the 2020s.
- Institutions such as the U.S. Congress and the Executive Branch shaped federal fiscal policy during this period.
- Major corporations influenced national debt through lobbying and private sector borrowing.
- Generations following Boomers, including Millennials and Gen Z, are disproportionately affected by these accumulated obligations.
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➡ Potential consequences:- Near-term consequences may include reduced fiscal flexibility for federal programs such as healthcare and infrastructure.
- Medium-term risks involve higher interest payments on national debt, potentially crowding out productive investment.
- Future generations could face increased tax burdens and diminished economic opportunities as a result.
- Political tensions between age groups may escalate over debt responsibility and entitlement reform.
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Science News
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Impact of AI advancements like Grok 4.7 and AGI on the automotive and aerospace computing ecosystems |
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🗺 Background:- AI advancements such as Grok 4.7 and AGI are transforming computing capabilities in both automotive and aerospace sectors.
- Full Self-Driving (FSD) technology, exemplified by Tesla's FSD 15, is poised to change vehicle demand and functionality.
- SpaceX's Starship could enable higher satellite capacity and orbital computing infrastructure.
- AI's potential as a workforce replacement is increasingly feasible due to rapid improvements in model capabilities.
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🎩 Key stakeholders:- Tesla, led by Elon Musk, is advancing AI driver and robotics in the automotive domain.
- SpaceX is incorporating AI models for space-access and orbital computing initiatives.
- Research institutions and AI developers are contributing to AGI (Artificial General Intelligence) model progress.
- Elon Musk is a pivotal figure, driving both automotive and aerospace AI innovations.
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➡ Potential consequences:- Near-term consequences include increased autonomous vehicle deployment and potential shifts in global automotive demand.
- Medium-term effects may feature enhanced orbital computing ecosystems, leveraging Starship and AI for space-based data processing.
- Business models in both sectors may pivot towards automation, reducing reliance on traditional human labor.
- AI-driven advancements could enable rapid scaling of both terrestrial and space operations.
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Risks and rewards of high-stakes AI startup funding negotiations with major tech corporates (Salesforce and Listen Labs case study) |
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🗺 Background:- Listen Labs is an AI research startup focused on advanced machine learning solutions.
- Salesforce is a major tech corporation engaged in enterprise cloud and AI services.
- High-stakes negotiations often involve billion-dollar funding rounds in the AI sector.
- Startup-corporate dealmaking can reshape investment and innovation landscapes.
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🎩 Key stakeholders:- Listen Labs leadership team and founders are central to funding decisions.
- Salesforce executives, including corporate venture arm, participate in negotiations.
- Major investors and institutional backers had interests in the $1.5B funding round.
- AI industry analysts are monitoring developments between Listen Labs and Salesforce.
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➡ Potential consequences:- Listen Labs may secure strategic partnership or acquisition terms with Salesforce in the near term.
- The canceled funding round could delay scaling or alter investor confidence for Listen Labs.
- Medium-term, AI startup deal structures may shift toward exclusivity over broad syndication.
- This case could set precedents for negotiation tactics and risk tolerance among other AI enterprises.
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The influence of AI alignment experts (Paul Christiano) on governance and safety frameworks at OpenAI |
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🗺 Background:- Paul Christiano is an AI alignment expert known for his work on assessing and steering advanced AI behavior.
- AI alignment focuses on ensuring AI systems act according to human values and safety standards.
- OpenAI has increased its emphasis on governance and safety in response to potential existential AI risks.
- Safety frameworks are being shaped by input from alignment researchers and external advisors.
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🎩 Key stakeholders:- Paul Christiano, formerly at OpenAI and leading alignment research, is a central figure in this effort.
- OpenAI Foundation oversees governance and strategic direction for OpenAI’s safety initiatives.
- Board members and external experts play a crucial role in shaping OpenAI's frameworks.
- TechCrunch is a main reporting outlet for recent developments in AI governance at OpenAI.
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➡ Potential consequences:- Near-term, OpenAI may prioritize stricter safety and alignment protocols under Christiano's influence.
- Medium-term consequences could include increased collaboration with external alignment researchers and policy reform.
- Christiano's presence may push OpenAI toward more transparent and conservative approaches on AI deployment.
- The board adjustment may impact investor confidence and broader AI industry standards.
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Analysis of new clean power regulations for data centers in Massachusetts and their impact on technology infrastructure |
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🗺 Background:- Massachusetts implemented new clean power regulations for data centers on September 9, 2026.
- The state is the third in the U.S. in recent months to introduce restrictions targeting data center development.
- These regulations are aimed at curbing carbon emissions from large-scale computing infrastructure.
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🎩 Key stakeholders:- Massachusetts state government and Department of Environmental Protection are central regulators.
- Major data center operators such as Amazon Web Services, Microsoft, and Google are directly affected.
- Local power providers and municipalities are key participants in compliance and infrastructure adjustments.
- Environmental advocacy groups in Massachusetts have campaigned for strict energy standards since early 2026.
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➡ Potential consequences:- Near-term, data center development in Massachusetts may slow due to compliance costs and supply chain adjustments.
- Medium-term, technology companies could accelerate investment in renewable infrastructure and power purchase agreements.
- Local economies may see increased clean energy jobs but higher energy prices for tech firms.
- Industry lobbying may intensify, potentially prompting revisions or clarifications of regulation details.
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Apple's strategy to normalize always-listening technology through wearable devices and its implications for user privacy and consent |
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🗺 Background:- Apple has integrated always-listening AI features into its wearables, notably the Apple Watch, as part of its 2026 device lineup.
- These features enable real-time transcription and summarization of ambient conversations without saving raw audio.
- The approach parallels broader industry trends towards ambient computing and always-on assistants such as Alexa and Google Assistant.
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🎩 Key stakeholders:- Apple Inc., led by CEO Tim Cook, is the primary developer and advocate for these always-listening AI features.
- Consumer privacy advocates and organizations like the Electronic Frontier Foundation (EFF) are actively scrutinizing the implications of such technology.
- Regulatory bodies including the U.S. Federal Trade Commission (FTC) are potential overseers regarding user consent and data practices.
- Competing technology firms, such as Amazon and Google, influence and respond to Apple’s wearable AI developments.
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➡ Potential consequences:- In the near term, users may change everyday behaviors due to heightened awareness that conversations can be transcribed and summarized by their devices.
- Medium-term, regulators could impose stricter consent requirements and create new user privacy standards for wearable technology.
- Apple may face increased public scrutiny and legal challenges as conversations about privacy and always-on technology continue to evolve.
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Culture
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No well-documented painters from the 1st century Middle East "N/A..." There are no surviving records of famous painters from the 1st century Middle East, as painting as a recorded art form was not prominent or well-documented in this region and period.... | Philo of Alexandria ""Be kind, for everyone you meet is fighting a hard battle..." Philo of Alexandria (c. 20 BCE – c. 50 CE) was a Hellenistic Jewish philosopher who lived in Alexandria, Egypt. He is known for blending Jewish theology with Stoic and Platonic philosophy.... |
Hero of Alexandria "'There is no greater pleasure than to discover the truth..." Hero of Alexandria (c. 10–70 CE) was a Greek mathematician and engineer who lived in Roman Egypt. He is famous for his work in mechanics and for inventing early automated devices and the aeolipile, an early steam engine prototype.... | Herod the Great ""It is better to be Herod's pig than his son..." Herod the Great (c. 73 BCE – 4 BCE) was a Roman client king of Judea, known for his extensive building projects including the expansion of the Second Temple in Jerusalem. His reign is noted for political intrigue, architectural achievements, and the biblical narrative of the Massacre of the Innocent... |
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NASA
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Comet NEOWISE Rising over the Adriatic Sea (2026-09-13)
Credits: Paolo Girotti |
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Github
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Trading tools |
qtbt 25 stars #160 Research on quantitative trading system based on backtrader framework... | RustyQLib 25 stars #161 RustyQlib: A quant library for derivative pricing and quantitative finance... |
btester 25 stars #162 Python framework optimized for running backtests on multiple asset portfolios... | Quantitative-Country-ETF-Trading-Strategy 24 stars #163 Quantitative Country ETF Trading Strategy... |
Sea Vessels |
autonomous-vision-boat 0 stars #160 Computer vision for autonomous boat using OpenCV library for tracking and following object... | DreamBoat 0 stars #161 A dream journal with LLM-powered reflective interpretation tracking over time using FastAPI · PostgreSQL · HTMX. (In active development)... |
ReadBoat 0 stars #162 Per-student reading comprehension tracker for teachers... | boat-tracker 0 stars #163 Track the location(s) of my boat... |
Air Vessels |
finger-bomb 2 stars #160 Video game with goal to destroy enemy planes with your fingers using image recognition and color tracking from video stream... | Optimization-MR-guided-Radiotherapy 2 stars #161 Code for bachelors thesis: Optimization of the Imaging Plane for Real-time Tumor Tracking in MR-guided Radiotherapy of Moving Targets... |
Air-Traffic-Control-Spring-Boot-App 2 stars #162 A simplified Air Traffic Control (ATC) system that keeps track of inbound and outbound planes, and directs them to runways, taxiways, and gates. Made with Java Spring Boot 2.0, Pos... | Open-Source-JIRA 2 stars #163 🚀 Powerful Open Source Alternative to JIRA, Linear, Monday, and Asana. Plane makes tracking issues, epics, and cycles simpler, faster, and more intuitive than ever.... |
Imagery |
Hyperspec-WGAN 14 stars #160 Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification... | SuperpixelGridMasks 14 stars #161 SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.... |
CNN_system 14 stars #162 Keywords: CNN, Fully connect neural network, SFEW dataset, Image Preprocessing, Data Augmentation, Leakey ReLU, k-fold cross validation, Casper. In this project, I build my own CNN... | OpenCV 14 stars #163 Projects including object detection and tracking, data augmentation, facial recognition, image segmentation and many weird and funny ones could be found here. Also, some projects a... |
Video |
DiT4DiT 446 stars #160 This is the official code repo for DiT4DiT, a Vision-Action-Model (VAM) framework that combines video generation model with flow-matching-based action prediction for generalizable ... | VisionReward 426 stars #161 [AAAI 2026] VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation... |
OmniCustom 425 stars #162 Official Implementation of 'OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model' ... | World-R1 424 stars #163 [ICML 2026] World-R1: Reinforcing 3D Constraints for Text-to-Video Generation... |