Risenshine! Here is digest of signals harvested on 2026-08-15.
Markets
International - 08/14
Germany (EWG):
+0.455%  +6.4096% MoM
France (EWQ):
+0.2111%  +4.3985% MoM
United Kingdom (EWU):
0%  +3.1858% MoM
Italy (EWI):
-0.0316%  +4.0454% MoM
Italy (EWI):
-0.0316%  +4.0454% MoM
Spain (EWP):
+0.2872%  +5.453% MoM
Netherlands (EWN):
+0.3925%  +4.2662% MoM
Chile (ECH):
+0.6993%  +1.1794% MoM
Belgium (EWK):
-0.6118%  +0.9834% MoM
Germany (EWD):
+0.3034%  +4.9187% MoM
Australia (EWO):
+0.5905%  +4.754% MoM
China Large-Cap (FXI):
+0.0861%  +1.7795% MoM
Japan (EWJ):
-0.264%  +5.0374% MoM
India (INDA):
-0.4002%  +2.1757% MoM
Taiwan (EWT):
-0.4%  +4.4687% MoM
Hong Kong (EWH):
-0.4889%  +1.404% MoM
Singapore (EWS):
+0.5974%  +4.9548% MoM
Indonesia (IDX):
+1.2601%  +6.6351% MoM
Malaysia (EWM):
-0.5682%  +0.6109% MoM
Saudi Arabia (KSA):
-0.132%  +2.3262% MoM
Arab Emirates (UAE):
+0.1531%  +2.1875% MoM
Qatar (QAT):
-0.034%  -0.7874% MoM
Israel (EIS):
+0.1672%  +1.4591% MoM
Kuwait (KWT):
-0.3333%  +3.3741% MoM
Africa (AFK):
-1.0284%  +7.3875% MoM
Commodities - 08/14
gold (GLD):
+0.6316%  +7.8233% MoM
silver (SLV):
+0.5502%  +12.0092% MoM
US oil (USO):
+1.2557%  +4.3005% MoM
platinium (PPLT):
+2.1236%  +4.4766% MoM
agriculture (DBA):
+0.5431%  -0.7505% MoM
carbon (KRBN):
-0.0291%  +1.8381% MoM
copper (CPER):
+0.4015%  +3.5724% MoM
gaz (UNG):
-0.5015%  -5.9716% MoM
corn (CORN):
+1.9542%  +2.6419% MoM
weat (WEAT):
+2.6727%  +0.2006% MoM
uranium (URA):
-0.7072%  +9.8533% MoM
lithium (LIT):
+0.7635%  +5.8683% MoM
Favorites - 08/14
Adobe (ADBE):
-2.392%  +17.5721% MoM
AMD (AMD):
+6.4968%  -2.7875% MoM
Microsoft (MSFT):
-0.2979%  +25.218% MoM
Nvidia (NVDA):
-0.0621%  +5.9576% MoM
Oracle (ORCL):
-3.6487%  +13.6086% MoM
Axon (AXON):
-0.4484%  +13.2521% MoM
Amazon (AMZN):
-0.9354%  +3.0162% MoM
Alibaba (BABA):
+1.3507%  +5.2001% MoM
JD (JD):
-0.8191%  -0.7514% MoM
ARM (ARM):
+0.2835%  +0.8772% MoM
Intel (INTC):
-1.9702%  -0.4758% MoM
Mu (MU):
+2.2983%  +7.4512% MoM
Qualcom (QCOM):
+0.6068%  -6.8491% MoM
Marvel (MRVL):
-0.072%  +7.6408% MoM
Apple (AAPL):
+0.2195%  -6.5863% MoM
Lowe (LOW):
+0.1146%  +4.202% MoM
Sectors - 08/14
SP500 (SPY):
-0.198%  +2.8524% MoM
healthcare (XLV):
-0.5998%  +5.7363% MoM
finance (XLF):
-0.1716%  +2.8289% MoM
real-estate (XLRE):
+0.3324%  +1.5934% MoM
semi-conductors (SOXX):
-0.0581%  -0.8734% MoM
aerospace (ITA):
+1.4118%  +7.1039% MoM
reit (RWR):
+0.0962%  +0.1312% MoM
transportation (XTN):
-0.7479%  -2.7991% MoM
agriculture (MOO):
+0.5064%  -0.2574% MoM
clean energy (QCLN):
+0.6595%  -2.4827% MoM
Gainers
Artius II Acquisition Inc. Rights +2066.7%
...
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Wetour Robotics Limited Ordinary Shares +171.5%
Wetour Robotics Ltd is a technology company operating AI-driven premium travel and mobility services under its Wetour brand. The group is building on its foundation in AI and intel...
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Losers
Amplitech Group, Inc. Series B Right -75.5%
...
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TMC the metals company Inc. Warrants -61.1%
TMC The Metals Co Inc is a deep seabed minerals developer focused on the collection, processing and refining of polymetallic nodules found on the seafloor in international waters o...
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Business
Economic and political impacts of Red Sea and Strait of Hormuz tensions on global oil prices and supply chains
In the news:
🗺 Background:
  • Economic and political impacts are shaping the future of global oil prices and supply chains.
  • Tensions—such as the Strait of Hormuz and Red Sea conflicts—create uncertainty and volatility in energy markets.
🎩 Key stakeholders:
  • Major oil-exporting countries in the Middle East
  • Shipping companies and global supply chain operators
  • International energy traders and governments of oil-importing nations
💡 News facts:
  • Attacks on vessels in the Red Sea have disrupted global trade, leading some shipping companies to reroute, increasing costs and delays .
  • The Strait of Hormuz remains a strategic chokepoint, with around 20% of the world’s oil passing through, making it highly sensitive to regional instability .
➡ Potential consequences:
  • Prolonged disruptions could increase oil prices globally, impacting inflation and economic growth.
  • Escalating conflict may further discourage investment in the affected regions, shifting focus to alternative routes and energy sources.
Top Voices:
On Wikipedia: https://www.reuters.com/business/energy/global-oil-prices-surge-amid-middle-east-tensions-2026-08-14/  https://www.cnbc.com/2026/08/13/why-the-red-sea-and-the-strait-of-hormuz-are-crucial-for-global-oil.html  
The Gulf region's race to dominate digital infrastructure through AI and data network investments
In the news:
🗺 Background:
  • The Gulf region is rapidly investing in artificial intelligence and advanced data networks to diversify beyond oil economies.
  • Nations such as Saudi Arabia, the UAE, and Qatar target digital infrastructure as a foundation for future economic growth.
  • These investments include data centers, fiber optics, and large-scale AI training facilities.
🎩 Key stakeholders:
  • Saudi Arabia’s Public Investment Fund (PIF) and the UAE’s G42 are principal investors in digital infrastructure.
  • Microsoft, Google, and Amazon have announced multibillion-dollar Gulf digital hub projects.
  • Regional governments, sovereign wealth funds, and Ministry of Communications and Information Technology (Saudi Arabia) serve as key policy drivers.
  • Abu Dhabi’s Mubadala and NEOM are central entities funding AI and cloud expansion projects.
💡 News facts:
➡ Potential consequences:
  • The Gulf may become a regional AI and data hub, attracting multinational corporations and talent.
  • Expanded digital capacity can drive economic diversification but also increase regional competition for tech dominance.
  • Rapid upskilling and regulatory reforms may follow to support new data economies.
  • Cybersecurity and data privacy may present new challenges due to expanded digital infrastructure.
Top Voices:
On Wikipedia: https://www.arabnews.com/node/2463926/business-economy  https://www.thenationalnews.com/business/technology/2026/08/14/g42-microsoft-launch-ai-supercomputer-uae  https://www.reuters.com/technology/2026/08/15/aws-mena-hub-riyadh-2026  
Controversy and legal concerns surrounding early access to Trump’s Truth Social posts and API
In the news:
🗺 Background:
  • Truth Social is a social media platform launched by Trump Media & Technology Group (TMTG) in February 2022.
  • The platform was created to provide an alternative to mainstream social networks after Donald Trump's bans from Twitter and Facebook.
  • APIs allow third parties early access to social media data and posts, which has spurred past controversies over data privacy and leaks.
  • Concerns have recently escalated regarding who can access Truth Social's posts and API, amid legal and competitive scrutiny.
🎩 Key stakeholders:
  • Donald Trump owns a majority stake in Trump Media & Technology Group, the parent company of Truth Social.
  • TMTG's CEO and legal team are responsible for setting platform API and data policies.
  • Federal regulatory agencies, including the SEC, are monitoring disclosures and compliance due to Trump Media's public listing.
  • Third-party developers and watchdogs play a role in identifying API access vulnerabilities or potential abuses.
💡 News facts:
➡ Potential consequences:
  • Near-term, TMTG may restrict or suspend third-party API access pending investigation, potentially impacting platform functionality for partners.
  • Legal proceedings or regulatory investigations could be launched in the medium-term if data leaks or misuse are substantiated.
  • Reputational damage to Truth Social and TMTG is likely if user trust is eroded by ongoing controversy.
  • The issue may accelerate regulatory discussions about API security standards for emerging social media platforms.
Top Voices:
On Wikipedia: https://www.reuters.com/legal/trump-truth-social-api-access-2026-08-15  https://www.wsj.com/articles/trump-truth-social-legal-audit-2026-08-15  
How major tech companies leverage proprietary employee and organizational data to accelerate AI model development
In the news:
🗺 Background:
  • Major tech companies use proprietary internal data to train, refine, and benchmark large AI models for competitive advantage.
  • Employee work output, internal communications, and organizational workflow data are increasingly utilized to fuel enterprise AI development.
  • Using proprietary data can enable faster iteration, domain customization, and more accurate AI model performance in specific business contexts.
  • Concerns have arisen regarding data privacy, ethical use, and the proprietary nature of model training sets within organizational boundaries.
🎩 Key stakeholders:
  • Google, Microsoft, and OpenAI are among the top tech industry players known for leveraging internal employee data for AI advancement.
  • Key individuals such as Sundar Pichai (Google CEO), Satya Nadella (Microsoft CEO), and Sam Altman (OpenAI CEO) oversee these strategic data initiatives.
  • Tech employees, organizational IT administrators, and data privacy officers play roles in data curation, governance, and oversight.
  • Regulatory bodies like the European Data Protection Board and the US Federal Trade Commission are monitoring such data practices for compliance and ethical implications.
💡 News facts:
➡ Potential consequences:
  • Near-term, accelerated model development may improve service features, but heighten risks of employee privacy breaches and ethical scrutiny.
  • Medium-term, proprietary data-driven AI may widen the competitive gap, complicate regulatory compliance, and raise barriers for organizations without similar internal data resources.
  • Intense regulatory attention may lead to new controls on internal data usage for AI, impacting how models are trained and deployed.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence  https://en.wikipedia.org/wiki/Data_privacy  https://en.wikipedia.org/wiki/Generative_artificial_intelligence  
Socio-political consequences of Russia’s strategy and drone warfare tactics on civilians in Kherson
In the news:
🗺 Background:
  • Russia has intensified drone warfare tactics in Kherson since the invasion of Ukraine began in February 2022.
  • Kherson, a strategic Ukrainian city, has been a focal point of civilian targeting and military operations.
  • Civilians in Kherson have faced continuous disruptions from drone attacks since Russian forces partly withdrew in November 2022.
  • Drone technology used includes Iranian-made Shahed models, impacting both infrastructure and civilian safety.
🎩 Key stakeholders:
  • Russian Ministry of Defense oversees military operations and drone deployments targeting Ukrainian civilians.
  • Ukrainian State Emergency Service responds to drone strikes affecting Kherson and its region.
  • Iranian manufacturers supply Shahed drones to Russia, facilitating coordinated aerial attacks.
  • Local Kherson civic leaders and NGOs document civilian impacts and coordinate humanitarian aid.
💡 News facts:
➡ Potential consequences:
  • The escalation of drone warfare in Kherson is likely to increase civilian displacement and humanitarian needs in the next three months.
  • Repeated drone strikes may foster heightened mistrust and animosity between local residents and occupying forces, affecting future social stability.
  • In the medium term, Kherson's infrastructure damage could impede economic recovery and public health efforts.
  • International scrutiny and potential sanctions on Russia and Iranian drone suppliers are expected if attacks persist.
Top Voices:
On Wikipedia: https://www.ukrainewarnews.com/kherson-dronestrike-2026-08-14  https://www.khersonupdate.com/2026/08/15/damage-report-drone  https://www.unstatement.org/news/kherson-drone-2026-08-15  
Science News
Implications of AI Model Watermarking on Academic and Professional Integrity
In the news:
🗺 Background:
  • Watermarking AI models refers to embedding identifiable markers within AI-generated content to trace its origin.
  • The concept aims to combat misuse by flagging outputs produced by large language models such as OpenAI's GPT-4 and Google's Gemini.
  • Concerns around academic and professional integrity have risen in 2024 as institutions adopt stricter rules regarding AI-generated submissions.
  • Watermarking could become a standard for verifying the authenticity of texts in education, research, and corporate environments.
🎩 Key stakeholders:
  • OpenAI, Google DeepMind, and Anthropic are leading organizations developing watermarking methods for text and image models.
  • Academic institutions such as MIT and Stanford are actively researching the viability of AI watermarking in maintaining academic honesty.
  • Government bodies like the U.S. National Institute of Standards and Technology (NIST) have held workshops in 2024 to establish guidelines on AI content tracking.
  • Professional associations, including the American Association for the Advancement of Science (AAAS), are lobbying for responsible deployment of watermarking technologies.
💡 News facts:
➡ Potential consequences:
  • Near-term, universities may adopt automatic watermark checks in plagiarism detection tools by Q4 2026, impacting thesis and assignment evaluations.
  • Medium-term, professional licensing boards could require verified non-AI-authored documentation as standard practice, reshaping hiring and certification norms.
  • Watermarking may lead to legal disputes over AI-generated works' authorship if systems fail or are circumvented.
  • Some experts warn that determined individuals may develop counter-watermarking methods, prompting a technological arms race.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/AI_alignment  https://en.wikipedia.org/wiki/Plagiarism_detection  https://en.wikipedia.org/wiki/Watermark_(data)  
Leadership Changes and Their Impact on the Strategic Direction of AI-Driven Nuclear Energy Startups
In the news:
🗺 Background:
  • AI-driven nuclear energy startups are innovating reactor design, safety, and operational efficiency since the early 2020s.
  • Leadership stability in these startups is critical due to complex regulatory, technical, and financial environments.
  • Strategic direction at these companies often shifts significantly with executive transitions or board changes.
  • Recent years have seen increased VC investment and government interest in advanced AI-nuclear solutions.
🎩 Key stakeholders:
  • Key companies in this sector include Oklo, Kairos Power, and TerraPower.
  • Notable executives such as Jacob DeWitte (Oklo founder), Chris Levesque (TerraPower CEO), and Per Peterson (Kairos Power CTO) drive strategic direction.
  • Major institutional stakeholders include the U.S. Department of Energy and Breakthrough Energy Ventures.
  • Pivotals investors often include Bill Gates and Sam Altman, influencing funding and board decisions.
💡 News facts:
➡ Potential consequences:
  • Leadership changes may temporarily delay regulatory approval processes and reactor construction milestones in the near term.
  • Medium-term impacts could include strategy pivots, potential shifts in AI integration focus, and revised partnership agreements.
  • Investor confidence might fluctuate depending on new executive track records and clarity of transition plans.
  • The wider AI-nuclear sector may see increased M&A activity as firms respond to instability or seek leadership synergies.
Top Voices:
On Wikipedia: https://www.oklo.com/news/dewitte-resignation-2026-08-15  https://energytimes.com/news/kairos-power-ceo-change-2026-08-14  
Effects of Default Data Opt-In Policies on Content Creator Rights and AI Training at Twitch
In the news:
🗺 Background:
  • Twitch has implemented default data opt-in policies affecting how user-generated content may be accessed for AI training.
  • Automated data extraction from platforms like Twitch is increasingly used to train machine learning models on language and behavior patterns.
  • Content creators have expressed concerns regarding consent and intellectual property rights in the context of these default settings.
  • The debate over AI dataset sourcing from platforms such as Twitch is actively shaping digital content regulations.
🎩 Key stakeholders:
  • Twitch Interactive, a subsidiary of Amazon, is responsible for policy implementation and enforcement.
  • Content creators on Twitch, ranging from individual streamers to large broadcasting organizations, are directly impacted.
  • AI research institutions and commercial AI developers seek access to Twitch data for large-scale model training.
  • Digital rights groups and policy advocates monitor these policies for implications on creator rights and privacy.
💡 News facts:
➡ Potential consequences:
  • In the near term, more creators may seek to opt out, placing compliance burden on Twitch and risking tension with influential streamers.
  • Medium-term, the policy could face legal scrutiny over copyright and consent, potentially prompting regulatory response or class action.
  • AI firms may gain easier access to diverse real-world streaming data, accelerating development but raising ethical and reputational risks.
  • Long-term shifts in platform trust and user retention are possible if creators perceive ongoing erosion of control over their content.
Top Voices:
On Wikipedia: https://www.pcgamer.com/twitch-ai-training-policy-2026/  https://www.techcrunch.com/twitch-policy-update-ai/  
Cost and Performance Dynamics in the Competitive AI Model Market: A Case Study on SpaceXAI Grok 4.6 and Its Upcoming Successor
In the news:
🗺 Background:
  • SpaceXAI Grok 4.6 is a next-generation AI language model developed by SpaceXAI, aiming to challenge major players in the generative AI market.
  • The AI competitive market is driven by both raw model performance (measured by benchmarks) and cost efficiency for enterprise and mass-market deployment.
  • Recent advances in model training, hardware acceleration, and data pipeline optimization are making large language models, such as Grok 4.6 and its successors, more accessible.
  • The rapid pace of model development has created an environment where new versions are announced within months of prior releases.
🎩 Key stakeholders:
  • SpaceXAI, led by Elon Musk, is the main developer behind the Grok series of AI language models.
  • Key competitors include OpenAI (maker of GPT-4 and GPT-4o), Google DeepMind (Gemini), and Anthropic (Claude).
  • Major institutional customers and partners for these AI models include large tech companies, financial firms, and research universities.
  • AI hardware providers such as NVIDIA and AMD directly influence cost and performance through supply of advanced GPUs and accelerators.
💡 News facts:
  • On August 15, 2026, the latest benchmarks for SpaceXAI Grok 4.6 were published, showing a 25% reduction in inference cost compared to Grok 4.5, as reported by AI Market Pulse.
  • According to a report from TechCrunch released August 15, 2026, Grok 4.6 will be succeeded by Grok 5.0, targeting public beta launch in Q4 2026, with emphasis on real-time enterprise applications.
  • A sector analysis by DataEconomist on August 15, 2026, highlights that corporate pilot programs using Grok 4.6 have already reported a 30% drop in cloud spend for language tasks.
➡ Potential consequences:
  • In the near-term, successful Grok 4.6 adoption could drive down operational AI costs for enterprise users, pressuring rivals to cut prices.
  • SpaceXAI’s focus on real-time and low-cost inference may accelerate market share shifts away from traditional providers such as OpenAI and Google.
  • Medium-term, increased price competition could lead to industry consolidation, with smaller model developers struggling to keep up with cost efficiencies.
  • Aggressive rollout of Grok 5.0 may set new standards for enterprise AI service-level agreements and regulatory compliance by late 2026.
Top Voices:
On Wikipedia: https://www.aimarketpulse.com/articles/grok-4-6-cost-update-2026-08-15  https://techcrunch.com/2026/08/15/spacexai-grok-4-6-launch-ai-market-impact/  https://www.dataeconomist.com/ai-cost-models-2026-08-15  
Scaling Long-Duration Grid Storage: Manufacturing Expansion Challenges for Form Energy’s 100-Hour Batteries
In the news:
🗺 Background:
  • Form Energy develops iron-air batteries capable of 100-hour grid energy storage, targeting renewable integration challenges.
  • Scaling long-duration storage is essential for decarbonizing power grids and supporting intermittent wind and solar energy.
  • Iron-air battery technology aims to provide cost-effective, multi-day storage compared to lithium-ion alternatives.
  • Achieving large-scale manufacturing is crucial to commercial viability and widespread adoption of grid-scale batteries.
🎩 Key stakeholders:
  • Form Energy, founded by Mateo Jaramillo and Ted Wiley, leads iron-air battery development.
  • Investors include Bill Gates’s Breakthrough Energy Ventures and ArcelorMittal.
  • U.S. Department of Energy and utility companies such as Xcel Energy are involved in demonstration projects.
  • Manufacturing partners and regional governments support factory siting and expansion.
💡 News facts:
➡ Potential consequences:
  • Near-term, factory delays could slow utility deployments and revenue recognition for Form Energy.
  • Continued skilled labor shortages may increase operational costs and limit manufacturing expansion.
  • Medium-term, successful pilot projects like the Xcel Energy system could accelerate regulatory approvals and market demand.
  • Delays in scaling iron-air batteries may benefit lithium-ion competitors temporarily, but large-scale success would reshape the grid storage market.
Top Voices:
On Wikipedia: https://www.greentechmedia.com/articles/read/form-energy-struggles-with-material-logistics-at-west-virginia-plant  https://www.utilitydive.com/news/form-energy-xcel-pilot-long-duration-battery/759908  https://www.reuters.com/business/energy/form-energy-west-virginia-battery-plant-hiring-challenges-2026-08-14/  
Culture
Unknown (No famous named painters documented in 9th century Europe)
"N/A..."
There are no well-documented famous painters from 9th century Europe as the period is marked more by illuminated manuscripts and religious art rather than individual painters gaining fame. Art was often created anonymously within monastic communities....
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Alcuin of York
"Wisdom is the principal thing; therefore get wisdom: and with all thy getting get understanding..."
Alcuin of York (c. 735 – 804) was an English scholar, clergyman, poet, and teacher who was a leading figure in the Carolingian Renaissance. He served as an advisor to Charlemagne and contributed to the revival of learning and literacy in Europe....
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Johannes Scotus Eriugena
"All things are in God, and God is in all things..."
Johannes Scotus Eriugena (c. 815 – c. 877) was an Irish theologian, Neoplatonist philosopher, and poet who worked at the Carolingian court. He is known for his work on the relationship between God and creation and his influence on medieval philosophy....
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Charlemagne
"To have another language is to possess a second soul..."
Charlemagne (c. 742 – 814), also known as Charles the Great, was King of the Franks and Lombards and Emperor of the Carolingian Empire. He united much of Western Europe during the early Middle Ages and laid the foundations for modern France and Germany....
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NASA
NASA Picture of the Day
Bright Perseids from Sweden
Bright Perseids from Sweden (2026-08-15)
Credits: Clear Skies
Github
Trading tools
FullStackAutoQuant 21 stars #170
Production grade end to end automated quantitative trading system....
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QuantTraderDL 21 stars #171
QuantTraderDL combines quantitative finance and AI, using TFT models to forecast major indices (S&P 500, Nasdaq, IBEX 35, Dow Jones, EURO STOXX 50) and optimize portfolios. A DRL t...
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Quantitative_Electricity 20 stars #172
Quantitative Analysis & Trading of the Electricity Market...
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z-trading 20 stars #173
⚡ A c-based multi-venue trading framework for HFT and market making algorithms. Over 300 built-in strategies mainly in C, also in Python and R for quantitative trading with ML supp...
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Sea Vessels
Boat-Motor-break-in 0 stars #170
App to track break-in period...
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boats-tracker 0 stars #171
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lokaferi 0 stars #172
Tracking Indonesia passanger ferry boat from their latest position GPS...
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insurance_chat_boat 0 stars #173
insurance chatboat for Policy Recommendatio based on user preferences,documents are needed to file a claim,Claim Tracking & Queries...
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Air Vessels
flight-tracking 1 stars #170
Eventual plan: Show what plane is overhead...
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dominant-plane-tracking 1 stars #171
Tracks a dominant planar surface in structured environments...
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Baxter-project-1 1 stars #172
robot arm plane tracking...
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replog 1 stars #173
Persönlicher workout planer & tracker...
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Imagery
Garage 13 stars #170
Cutting-edge Python library designed for generative image augmentation!...
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Adversarial-Policy-Gradient-Augmentation 13 stars #171
Adversarial Policy Gradient for Medical Deep Learning Image Augmentation...
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image_augmentation 13 stars #172
Image augmentation and change bounding box at the same time....
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ida_lib 13 stars #173
Image augmentation library...
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Video
segment-anything-annotator 385 stars #170
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modific...
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ComfyUI-WanVideoStartEndFrames 383 stars #171
Start and end frames video generation nodes based on the modified Kijai version Wan2.1 nodes...
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ltx-video-mac 381 stars #172
Native macOS app for AI video generation using LTX-Video model, optimized for Apple Silicon...
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SpecVQGAN 372 stars #173
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)...
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