Pacmoon: WETH/PAC liquidity has been removed, and funds will be deployed in the SOL/ARMY pool after
Meme project Pacmoon announced on X platform that WETH/PAC liquidity has been removed and funds will be deployed in the SOL/ARMY pool after subsequent launch. Pacmoon previously announced that the ARMY token is expected to go live early next week, and the deadline for qualifying for the exchange of PAK for ARMY through destruction has been completed and snapshot taken. Users who purchase PAC tokens from now on will not be able to exchange them for ARMY tokens through token destruction. #opbnb
Data: Since the launch of SunPump, the TRON network has added 4,888 new Meme coins
According to Lookonchain monitoring, since the launch of SunPump, the Tron network has created 4,888 types of Meme coins, bringing in 1.84 million TRX (approximately $24,660 USD) in revenue. #ETH
Suilend: Deposits no longer earn points, 10 million points will be allocated to borrowing activities
On August 18th, Sui lending platform Suilend announced in an X post that 100% of points will now be allocated to borrowing activities. Deposits will no longer earn points, and instead 10 million Suilend points will be allocated daily to borrowing activities. #BTC
A whale withdrew 500 billion PEPE that he had deposited in the exchange a few days ago 11 hours ago.
According to on-chain analyst @ai_9684xtpa, on August 15th, a whale with the wallet address 0x689...B869B deposited 5 billion PEPE tokens into an exchange and withdrew the same amount from the wallet 11 hours ago. If the whale did not sell at the time, the unrealized loss would have expanded to $1.84 million.2. If the whale had sold at the time and this was the second time building a position, they would have avoided a loss of $310,000 and re-entered the market at an average price of $0.00000743 to start a new round of speculation. #feedfeverchallenge
B3.fun launches game platform BSMNT to help users discover and experience on-chain gaming methods
Based on the Base extension platform, B3.fun has now launched the Ethereum game platform BSMNT. According to B3.fun, one of the biggest problems for on-chain games is discovery. This is why they have launched the first major product, the BSMNT Beta version, which is a discovery platform that changes the way users discover and experience on-chain games. It is reported that by encrypting popular Web2 games such as Breakout and Crossy Road, as well as mature Web3 games such as Nifty Island and Mighty Action Heroes, BSMNT players need to connect their wallets before "minting" the games they want to play. Earlier this year, B3 announced that it had completed financing in July, with a total amount of $21 million. Pantera Capital led the investment, with participation from Makers Fund, Hashed, Collab+Currency, Sfermion, Mirana Ventures, Bitscale Capital, and Mantle EcoFund. #binancepizza
Analysis: Ethereum gas fees drop to 5-year low, which may indicate that ETH price will bottom out in
Bitget Research Chief Analyst Ryan Lee recently stated: "Every time the Gas fee of ETH falls to the bottom, it often means that the price has reached a mid-term bottom. After this cycle, the ETH price often rebounds strongly, and when this moment happens to coincide with the interest rate cut cycle, the wealth effect of the market is full of possibilities." Lee said that Ethereum's Gas fee has dropped to the lowest point in five years, which can be attributed to the popularity of Meme and the migration of DApp interactive users to other faster and cheaper blockchains such as Solana and Layer 2. In addition, the upgrade of Dencun has also improved network efficiency, thereby reducing Gas fees. At the same time, due to the reduction in fees, the amount of ETH destroyed has decreased, which means that its supply has begun to increase. (CoinDesk) #crypto2023A
In the past week, NFT market transaction volume fell by 11.66%, and the number of buyers surged by 1
According to TechFlow, the NFT market has shown a complex situation in the past week. Although the total transaction volume decreased by 11.66% to $81.7 million, market activity has significantly increased, with the number of buyers increasing by 172.98% and the number of sellers rising by 120.51%.Ethereum is still the main force in NFT sales, with a transaction volume of $28.2 million, but it has decreased by 9.49% compared to last week.Solana and Bitcoin ranked second and third respectively with sales of $16.37 million and $13.88 million.The best-selling NFT series this week was Mythos' Dmarket, which reached over $5 million in sales despite a 31% drop.It is worth noting that the sales of Bitcoin's Uncategorized Ordinals series skyrocketed by 790% to $3.1 million. In terms of individual items, an Uncategorized Ordinal sold for $2.4 million, becoming the most expensive NFT of the week. #DYOR42711
The total market value of stablecoins exceeds 168 billion US dollars, and the market value of USDT i
DefiLlama data shows the total market value of stablecoins has exceeded 168 billion US dollars, currently at 168.44 billion US dollars, with a 7-day growth rate of 1.33%. Among them, the market value of USDT is about 116.834 billion US dollars, with a market share of 69.53%; the market value of USDC is 34.355 billion US dollars, ranking second in market value. #feedfeverchallenge
Addresses holding more than 100 BTC have accumulated 245,453 BTC since the beginning of the year
Addresses holding over 100 BTC have accumulated 5021 BTC today and 245,453 BTC since the beginning of the year. In addition:Addresses holding 0.001-1 BTC have accumulated a total of 3620 BTC today and reduced 6838 BTC since the beginning of the year.Addresses holding 1-10 BTC have accumulated a total of 1223 BTC today and reduced 22639 BTC since the beginning of the year.Addresses holding 10-100 BTC have accumulated a total of 292 BTC today and reduced 60706 BTC since the beginning of the year. #bitcoin
Galxe and Google Cloud reach a cooperation to jointly promote the application of Web3 technology
Galxe has partnered with Google Cloud to leverage infrastructure to drive the application of Web3 technology. By integrating services such as AlloyDB, BigQuery, and Google Kubernetes Engine, Galxe will provide scalable, secure, and high-performance AI, digital identity, and blockchain solutions. This collaboration will help Galxe efficiently manage large datasets, improve performance, and further promote the adoption of Web3. #bitcoin
Cryptocurrency Fear and Greed Index rises to 31, market sentiment turns to panic
According to Alternative data, today's Fear and Greed Index has risen to 31, and market sentiment has shifted from extreme fear to fear.Note: The threshold for the Fear and Greed Index is 0-100, including indicators: volatility (25%) + market trading volume (25%) + social media popularity (15%) + market surveys (15%) + Bitcoin's proportion in the overall market (10%) + Google trend analysis (10%). #BTC
Foresight Research: AI x Crypto Report | The Block
Key Insights Foresight Ventures believes AI x Crypto could be the most exciting industry of the next 50 years. Crypto enhances AI by addressing centralized control, data privacy, and security issues, making AI more trustworthy and efficient. AI can empower crypto with intelligent capabilities, enabling smart contracts to make AI-driven decisions, giving blockchains the ability to perceive the physical world, and improving the user experience of blockchain apps. The intersection of AI and crypto can be categorized into three layers: infrastructure, model, and application. Innovations in the infrastructure layer, such as decentralized computing power and data storage, will lower costs while boosting the efficiency and security of AI applications, bypassing traditional cloud providers. The model layer will enable peer-to-peer model inference networks, fostering collaboration and innovation in AI, reducing costs, and allowing small businesses to engage in AI advancements. Additionally, AI-driven smart contracts will enhance blockchain applications like biometric authentication, fraud detection, and AI trading bots. Finally, the application layer will integrate the infrastructure and model layers into a variety of consumer products. The infrastructure and model layers of AI x Crypto are relatively mature, but application development is still in its infancy. Significant opportunities exist for expanding the application layer to leverage the developed infrastructure and models. Al x Crypto has brought forth numerous new research areas with vast research potentials, such as ZKML, FHE-ML, distributed ML training, network quantization, decentralized databases, fully homomorphic encryption, Al hardware, and FHE hardware. Foreword “Blockchain has revolutionized the means of production, while AI has transformed the production processes. AI x Crypto may well be the most exciting industry of the next 50 years.” Forest (Co-founder of Foresight Ventures)
AI x Crypto Introduction and Overview AI x Crypto projects have shown strong asset returns over the past two years. The Intersection of AI and crypto holds significant value. Crypto makes us trust AI, and AI makes blockchain smarter.
AI x Crypto systems can be divided into three layers: infrastructure layer, model layer, and application layer.
The infrastructure layer provides the computational and storage capabilities necessary for the efficient execution of models and applications. Projects such as io.net, Akash, APUS, PingPong, and numerous others fit into the infrastructure layer computing power category. Projects like 0G, Glacier, and SpaceAndTime, provide decentralized data storage for AI.
The model layer involves the algorithms and models used in AI systems. Model networks establish peer-to-peer inference networks or create new foundational models through community contributions. Projects like Bittensor, PIN AI, Cerbo AI, and Sentient fall into this category. On-chain AI, a subset of model networks, differs in that its inference results can be utilized in smart contracts, allowing them to make decisions with AI. Projects such as Ora, TheoriqAI, Nesa, and Modulus are advancing On-chain AI. They may use the infrastructure layer compute and storage providers to power these models. AI applications, such as MyShell, Story Protocol, and Sleepless AI, package the lower-level layers into a cohesive consumer product. AI x Crypto Infrastructure Layer Decentralized Computing Power Projects: gather GPUs and CPUs from underutilized sources, such as independent data centers, crypto miners, and hardware networks like Filecoin and Render. They offer decentralized and cost-effective computing power, bypassing cloud oligopolists like AWS. Decentralized computing power addresses the increased GPU demand driven by AI and offers competitive pricing advantages. For example, an A100 on AWS is roughly $4.10 per hour, while io.net charges $0.76 per hour. Although decentralized computing generally offers lower quality than large data centers, this is beginning to change.Decentralized Database/Filesystem/DA Layer: provides data storage for decentralized AI, enabling people to own, control, and utilize AI assets in a decentralized manner. Decentralized storage systems offer cost-effective storage solutions and promote a collaborative AI development environment. Key design challenges for decentralized storage systems include the economic model, storage verification algorithms, the degree of decentralization, and improving retrieval performance. These four factors are interrelated and involve trade-offs. AI x Crypto Model Layer Model Networks: establish a peer-to-peer model inference network that incentivizes the development of machine intelligence. Model networks facilitate openness and collaboration in AI. By tokenizing AI models and agents, enhances the quality of AI product outputs. They also help reduce AI costs and encourage the growth of small businesses.On-chain AI Model Networks: enable smart contracts to make decisions with AI, giving blockchains the ability to perceive the physical world. AI model networks utilize ZKML (Zero-Knowledge Machine Learning), OPML (Optimistic Machine Learning), AI Oracles, and AIVM (Artificial Intelligence Virtual Machine) to ensure that AI inference is both trusted and accessible within blockchain smart contracts. Users can leverage AI for decision-making in smart contracts. For example, they can participate in DeFi projects and earn profits based on AI predictions, or use AI for facial recognition to enable smart contracts to identify individuals. AI x Crypto Application Layer Data Collection Dapps/Apps: use label-to-earn and contribute-data/bandwidth-to-earn mechanisms to gather data efficiently and cost-effectively while protecting contributors' rights. The data collection and labeling market is vast. Data collection apps use crypto incentives to create a trustless global labor market, reducing costs and enabling worldwide participation. They also employ gamification to make labeling tasks easier and more enjoyable.Start your day with the most influential events and analysis happening across the digital asset ecosystem. AI Dapps: package the infrastructure and model layers into a cohesive consumer product. Crypto AI platforms use asset tokenization to assist AI creators with funding challenges and enhance profitability. They establish a sharing economy for AI, create opportunities for new business models, and offer users a more secure and privacy-focused experience. There are several types of AI dApps and apps, including AI creator platforms, AI-enhanced social, gaming, and entertainment apps, AI apps for predictions, trading, AMM, and DeFi, as well as various AI tools. Conclusion, Future Trends, and Social Impact In conclusion, generative AI is set to drive significant business transformation in the next 50 years, fueled by substantial capital influx and rapid technological advancements. Crypto enhances AI by addressing centralized control, data privacy, and security issues, making AI more trustworthy and efficient. AI x Crypto intersection is still in its early stages and holds significant value. The infrastructure and model layers of AI x Crypto are relatively mature, but application development is still in its infancy. Significant opportunities exist for expanding the application layer to leverage the developed infrastructure and models.
Future trends in the AI x Crypto landscape include several key developments: Decentralized Infrastructure: Innovations in decentralized computing power and data storage will reduce costs and enhance the efficiency and security of AI applications, bypassing traditional cloud providers. Model Networks: Peer-to-peer model inference networks will promote collaboration and innovation in AI, reducing costs and enabling small businesses to participate in AI advancements. On-chain AI: AI-driven smart contracts will enhance blockchain applications, including biometric authentication, fraud detection, and AI trading bots. Data Collection Dapps: The integration of AI and crypto will make data collection more efficient and cost-effective, with projects focusing on gamified data labeling and enhanced user rights protection. AI Dapps/Apps: New AI-driven decentralized applications will emerge across various sectors, offering enhanced security, privacy, and user experience through blockchain integration. Regulatory and Ethical Considerations: Clear regulations and best practices will be essential for fostering innovation while protecting user rights and data privacy in the evolving AI x Crypto landscape.
The social impact of AI x Crypto could be significant over the next 50 years. Blockchain has reshaped the means of production, while AI is transforming production processes. We eagerly anticipate an unprecedented explosion as these two disruptive innovations collide. We envision a future where AI wields immense power, a power unsuitable for centralized control. This brings an urgent need to establish decentralized networks to govern larger AI systems, starting with computing power and data, and gradually extending to algorithms and applications. Blockchain reshapes the means of production: Blockchain technology, with its distributed ledgers and smart contracts, enhances transparency and efficiency in asset management and transfer. For instance, blockchain can be applied in supply chain management to ensure that every stage, from production to sale, is traceable. AI reshapes production processes: The application of AI in manufacturing, services, and other fields boosts production efficiency and accuracy. AI-driven automation systems can operate 24/7, reducing human errors and optimizing resource allocation. Decentralized governance of AI: Decentralized networks, using distributed consensus mechanisms and transparent governance models, have the potential to mitigate the risks of AI centralization. Similar to blockchain, decentralized AI networks can establish transparent and fair governance structures through smart contracts, preventing any single entity from exerting excessive control over AI systems.
As the first and only crypto-focused VC bridging the East and West, Foresight Ventures is dedicated to being at the forefront of AI &crypto innovations. Foresight Ventures has invested in numerous infrastructure and model layer projects and is also excited about use cases such as personal AI assistants, privacy-preserving edge AI models, immersive virtual environment apps powered by AI and integrated with AR and VR technologies, and global labor markets for data collection and AI training.
About Foresight Ventures Foresight Ventures is dedicated to backing the disruptive innovation of blockchain for the next few decades. We manage multiple funds: a VC fund, an actively-managed secondary fund, a multi-strategy FOF, and a private market secondary fund, with AUM exceeding $400 million. Foresight Ventures adheres to the belief of "Unique, Independent, Aggressive, Long-Term mindset" and provides extensive support for portfolio companies within a growing ecosystem. Our team is composed of veterans from top financial and technology companies like Sequoia Capital, CICC, Google, Bitmain and many others.
Grayscale Ethereum ETF ETHE had a net outflow of $27.7 million on August 16
According to data from TraderT, the net inflow of Grayscale Ethereum ETF ETHE on August 16th was -27.7 million US dollars, and 28.8% of the managed Ethereum has been withdrawn. #bitcoin
VanEck and 21Shares Solana ETF Form 19b-4 Suspected to be Removed from CBOE Website
According to X user @SummersThings, the 19b-4 form for VanEck and 21Shares Solana ETF seems to have been removed from the CBOE website on August 17th. The documents SR-CboeBZX-2024-066 and SR-CboeBZX-2024-067 are no longer accessible through direct links and are no longer visible in BZX pending rule changes. #SEC
TON launches early developer support program TON Nest
TON announced the launch of a new program called TON Nest, aimed at providing assistance to early developers seeking guidance and support. The program is initiated by TON Society Worldwid, a TON community, and participants need to apply and present their projects at offline events or online conferences.Successfully admitted developers will have the opportunity to participate in professional workshops and compete for rewards through a leaderboard. #SEC
Asset Management Firm Franklin Templeton Files S-1 for New Crypto Index ETF
On August 17th, Franklin Templeton, an asset management company, is seeking to launch a new exchange-traded fund (ETF) that aims to be a one-stop-shop cryptocurrency investment portfolio, according to a document dated August 16th. The document states that the Franklin Crypto Index ETF will track the performance of the CF Benchmarks Digital Asset Index, which currently only includes Bitcoin and Ethereum. The document states that "the fund will achieve its investment objective by investing in digital assets with weights that are roughly similar to those of the underlying index," and that the ETF may hold other types of cryptocurrencies in the future. #bitcoin
OpenAI bans accounts linked to Iranian influence operations
According to official sources, OpenAI announced the ban of accounts related to Iranian influence activities. These accounts used ChatGPT to generate content on multiple topics, including the US presidential election. It added that there was no evidence that this content reached a meaningful audience. #ETH