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Agentwood Studios is an AI agents designed to revolutionize the filmmaking industry. Derived from the creative minds of filmmakers, producers, actors, and actresses, these AI agents collaborate in a dynamic, user-driven environment to generate scripts, trailers, short films, and even full-length feature films.
JPMorgan: S&P 500 Year-End Target Raised to 8,000 Points, AI Monetization Starting to Catch Up with Spending Pace
According to TechFlow Research, JPMorgan's US stock strategy report on August 9 raised the S&P 500 year-end target price from 7,800 points to 8,000 points, the 2026 EPS forecast from $358 to $365 (+35%), and the 2027 EPS forecast to $420 (+15%). Among the 87% of companies that have disclosed earnings, 78% beat earnings expectations, with Q2 earnings growth reaching 53%. The report noted that AI capital expenditure is expected to reach $900 billion in 2026 (+85%), surpassing $1.2 trillion in 2027, with hyperscale vendors accounting for approximately 87%. However, cloud revenue realization is accelerating: AWS up 37%, Azure up 43%, Google Cloud up 82%; AWS backlog orders increased 36% quarter-over-quarter to $496 billion, and Google backlog orders increased by $55 billion to $514 billion. JPMorgan believes the order coverage ratio is improving, and monetization pace is catching up with spending pace. Excluding Google and Amazon's combined $152 billion in unrealized private equity gains (mainly from Anthropic's $65 billion financing), Q2 actual earnings growth was about 31%, and 2026 normalized EPS is about $347 (+28%). JPMorgan maintains the assumption of approximately 20x forward P/E ratio for the S&P 500 index unchanged, stating that the earnings upward revision is sufficient to
Morgan Stanley: Cloud Giants' Growth Rate Surges to 48%, DDOG and Others Face Test of High Expectations
According to TechFlow Research, Morgan Stanley's research report on August 6 pointed out that the combined growth rate of the three major cloud vendors in Q2 jumped from 39% to 48%, accelerating for five consecutive quarters. AWS grew 37% (fastest in 18 quarters), Azure increased 43%, and Google Cloud increased 82%. AWS's AI annualized revenue has exceeded $25 billion, with triple-digit growth. Azure's PostgreSQL revenue increased 55% (accelerating for three consecutive quarters), and Fabric paying customers exceeded 40,000, up 60%. Morgan Stanley believes AI consumption is driving core infrastructure demand, creating a positive backdrop for DDOG, SNOW, and MDB. However, expectations are also rising simultaneously. Market expectations for DDOG's Q2 growth rate are 35% to 36%, with valuation corresponding to approximately 69 times 2028 FCF; any signal below expectations could be amplified. Most of SNOW's consumption comes from AWS, and cloud acceleration is a positive signal for product revenue. MDB is unlikely to see an AI inflection point in the short term, but competitive pressure is increasing. Morgan Stanley maintains an Overweight rating on all three companies, with target prices of $300, $300, and $380 respectively. Whether demand exists no longer needs verification; the question the market needs to ask is whether demand is good enough to support current valuations.
Moonshot AI to Open Source 2.8-Trillion-Parameter Kimi K3 Weights, Chinese Open-Weight Model Token Share Rises to 68%
Chinese AI startup Moonshot AI will release the model weights of its high-performance model, Kimi K3. Developers can download the model, modify it for various purposes, and run it in their own data centers or cloud environments.Kimi K3 boasts 2.8 trillion parameters and a 1 million token context window, enabling it to process large-scale documents and codebases in a single pass. Moonshot AI plans to later publish a technical report detailing the model's architecture, training methodology, and performance evaluation results.Following the release of Kimi K3, Moonshot AI's daily revenue is reported to have increased by at least 6 times. The company is reportedly advancing a new round of fundraising at a $50 billion valuation and is considering a Hong Kong listing as early as this year.According to Bloomberg Intelligence, following the release of Kimi K3 and Z.AI's GLM-5.2, the share of Chinese open-weight models in overall token usage has risen to 68%. Services like AWS Bedrock, Microsoft Azure Foundry, and Google Vertex AI currently do not offer Chinese open-weight models such as Kimi K3 and GLM-5.2.
Post-quantum cryptography security company QIZ Security completes $17 million seed funding round
According to PR Newswire, post-quantum cryptography (PQC) management platform QIZ Security announced the completion of a $17 million seed funding round, led by Bessemer Venture Partners and Merlin Ventures, with participation from Evolution Equity Partners, Qbeat Ventures, Singtel Innov8, and Qino Cyber Capital. The funding will be used to accelerate product development and market expansion. QIZ's core capabilities lie in providing enterprises with continuous crypto asset discovery, risk modeling, and remediation governance, helping organizations complete the migration to quantum-safe architecture before "Q-Day" (the point in time when quantum computers are expected to possess the capability to break existing encryption systems, anticipated around 2029) arrives. Currently, QIZ has established strategic partnerships with Cisco, AWS, Google, CrowdStrike, Deloitte, EY, and IBM, among others, with services covering the finance, telecommunications, healthcare, and critical infrastructure sectors. The company was co-founded by cybersecurity industry veterans Ben Volkow, Lenny Ridel, and former head of Deloitte's Global Quantum Cybersecurity team, Dr. Itan Barmes.
São Paulo Sues World and Amazon AWS for Approximately $47 Million
: On Monday, the São Paulo Consumer Protection Office filed a lawsuit against Tools for Humanity, the company behind World, and its hosting service provider Amazon AWS, accusing them of abusive practices in the collection of consumer biometric data in São Paulo. The lawsuit estimates that over 400,000 people participated in World's promotions in São Paulo. It demands the preservation of all data and metadata related to the data collection and the suspension of any payments or benefits associated with biometric data collection before the assessment is completed. The lawsuit seeks a ruling that the related activities constitute abuse and demands payment of 240 million Brazilian reais, approximately $47 million, to compensate for individual consumer losses. The prosecution alleges that World continued to issue crypto rewards through in-app transactions after the National Data Protection Authority ordered it to stop in February 2025. A report from the Iris Parliamentary Committee of Inquiry stated that World concentrated its promotions in peripheral and high-traffic areas to attract people facing socioeconomic issues to submit biometric data in exchange for crypto rewards. The prosecution also claims that consumers were not informed about the economic purpose of the project or the risks associated with processing and storing data on AWS servers.
Anthropic Model Safety Controversy Escalates, Amazon Accused of Being the "Hidden Force" Triggering Regulatory Intervention
the U.S. government's export controls and access restrictions on Anthropic's models, Fable 5 / Mythos 5, were partly driven by Amazon's cybersecurity research and AWS CEO Andy Jassy's communications with the White House.It is understood that research submitted by Amazon indicated that through a series of prompt tests, researchers could induce Fable 5 to output sensitive information potentially usable for cyberattacks, raising security concerns. Subsequently, Andy Jassy reported these findings to the U.S. government level, prompting the White House to implement further restrictions, including banning foreign users from accessing the model.Meanwhile, former U.S. Commerce Department official Kate Koren revealed that the White House's existing policy stance towards Anthropic may have also influenced this decision. This is because Anthropic has disagreements with the White House over the boundaries of AI safety, including refusing to use its models for mass surveillance or lethal autonomous weapons systems. Although the two sides had eased tensions and expanded cooperation earlier this year, this incident could reignite strained relations between them. (The Wall Street Journal)
SlowMist Discloses Cross-Registry Supply Chain Attack Targeting Crypto and AI Developers
According to on-chain analyst PeckShield (@PeckShieldAlert), SlowMist’s threat intelligence system MistEye has detected a cross-registry supply chain attack targeting developers. Malicious packages have spread across three major registries—npm, PyPI, and Crates.io—comprising over 34 malicious packages and more than 384 related versions. The attack targets developer communities in cryptocurrency, DeFi, Solana, Sui/Move, and AI. It may lead to the theft of cryptocurrency wallets, SSH keys, cloud credentials, GitHub/AWS tokens, browser data, and other sensitive developer information. Some malicious payloads also attempt persistence via mechanisms including `.cursorrules`, `CLAUDE.md`, Git hooks, cron, systemd, and SSH. SlowMist recommends immediately removing affected packages, isolating compromised systems, rotating exposed credentials, rebuilding CI environments and developer machines from clean images, and conducting comprehensive reviews of GitHub, cloud, SSH, and wallet-related activities.
Wasabi Protocol Updates on Security Incident Response: Final User Compensation Plan Not Yet Confirmed
Wasabi Protocol released a security incident update, stating that the attacker exploited a Spring Boot Actuator configuration vulnerability in its AWS infrastructure to steal private keys controlling EVM smart contracts, and subsequently drained approximately $4.8 million in user funds and $900,000 from the protocol’s treasury—totaling roughly $5.7 million in losses. The attack chain originated from a public-facing analysis server whose Actuator heap dump was not properly password-protected, enabling the attacker to obtain credentials for another server and ultimately gain control of the smart contract private keys. This incident affected only EVM deployments—including certain treasuries on Ethereum, Base, Blast, and Berachain—while Solana deployments and the Prop AMM remained unaffected. No final user compensation plan has been announced yet; however, “ensuring all affected users are compensated” remains the team’s top priority. Updates on the investigation will be shared with the community via Discord.
PrimePiper Launches Prime Broker Dedicated to AI Agents, Enabling Multi-Exchange Connectivity, Cross-Venue Reconciliation, and Risk Control & Audit Capabilities
PrimePiper has launched an enterprise-grade prime broker platform for AI agents, designed to address challenges including fragmented account management, inadequate risk control, inability to reconcile across venues, and insufficient compliance auditing in AI-driven automated trading. According to the company, its infrastructure supports unified connectivity to multiple trading venues—including Hyperliquid, OKX, Tiger Brokers, and Interactive Brokers (IBKR). For risk control, PrimePiper offers enterprise-grade API key management, spending limits, and circuit-breaker mechanisms to constrain AI agent trading behavior. At the execution layer, it enables automated strategy execution via SDK or the Model Context Protocol (MCP). For compliance and auditing, it provides audit-grade reporting capabilities tailored for funds and traders. PrimePiper has been selected for the latest cohort of Founders Inc’s accelerator program; its product is currently in the Alpha stage. Team members hail from Galois Capital, Kraken, DRW, and AWS.
Vercel CEO: Attackers Stole API Keys via Malware, Impact Broader Than Initially Assessed
Vercel CEO Guillermo Rauch (@rauchg) announced that Vercel is conducting an in-depth investigation into the April 2026 security incident. The investigation revealed that the attackers initially breached Vercel’s systems via Context.ai’s account—a startup—but their activities extended far beyond this initial intrusion. Threat intelligence indicates that the attackers distributed malware to steal Vercel account credentials and API keys from other service providers, then used those keys to rapidly and extensively enumerate non-sensitive environment variables. To trace the root cause, Vercel has processed nearly 1 petabyte of network and API logs. Vercel is collaborating with industry partners—including Microsoft, AWS, and Wiz—to respond jointly and has proactively notified other potentially affected parties, urging them to rotate credentials and adopt security best practices.
Stock offering size expanded to $20 billion, with Intel institutional demand reportedly exceeding $100 billion
Odaily News: Citrini analyst jukan posted on X platform, stating that GF Securities Overseas Electronics Newsletter reiterated its Buy rating on Intel with a $136 price target, and believes this stock offering sends a positive signal. The report expects Intel's foundry business to break even in Q4 2027, with margin leverage effects fully reflected by 2028. Yield rates and external customer expansion—especially progress with Apple—are advancing steadily, and the EMIB customer base is also expanding, with customers including Google and AWS. Intel has secured support from substrate supplier Unimicron and will produce silicon capacitors internally. The report raised Intel's expected EPS for 2026 and 2027 by 3% and 1% respectively, maintaining the $136 price target after accounting for dilution effects. Intel expanded its stock offering from the initially planned $15 billion to $20 billion, with institutional demand reportedly exceeding $100 billion. The offering price was $95, and the overallotment option has been fully exercised. CEO Lip-Bu Tan and his family subscribed approximately $12 million at the offering price, which the report believes reflects management's confidence in the company and may support capital expenditure for fiscal year 2027. The report states that Intel reiterated its foundry business will achieve breakeven by the end of 2027; if delayed to 2028, the primary reason would be increased demand for additional investment. The report maintains its previous assessment, expecting 18A yield of approximately 80% in Q2 2026, with CWF already entering the capacity ramp-up phase. External customer collaboration continues to advance, with Apple's 14A high-volume manufacturing being particularly notable. The report raised Intel's back-end business revenue expectations for fiscal years 2027 and 2028 to $1.1 billion and $7 billion respectively, citing improved visibility into AWS Trainium3 adopting EMIB-T in 2027, as well as Google's Humufish and Triggerfish entering production expansion phases from H2 2027 to 2028. The report also expects that AWS and Microsoft ASIC products may adopt EMIB in 2028.
BNB Agent Studio is Now Live on BNB Chain Mainnet
BNB Chain has announced the official mainnet launch of its AI Agent development platform, BNB Agent Studio.Developers can now use a single prompt in AI coding tools like Cursor and Claude Code to complete Agent wallet creation, on-chain identity registration (ERC-8004), and deployment, without needing to separately set up wallets, identities, payments, custody, or LLM integration.Once deployed, Agents can use the x402 protocol to automatically deduct fees from users' pre-funded wallets to cover LLM usage, and they can be discovered and invoked by other Agents via the ERC-8183 task interface. The entire process runs on the AWS Bedrock AgentCore.The platform is also launching a limited-time free trial, where users can experience the full deployment process on the BSC testnet using their GitHub account.
Coinbase Review of May Outage: AWS Cascading Failures Exposed Architectural Risks
Coinbase has released a post-mortem report on the large-scale service outage that occurred on May 7, 2026. The disruption lasted approximately 8 hours, with full recovery taking about 12 hours. During this period, trading, deposits, withdrawals, and most core services were either unavailable or severely degraded.Coinbase stated that the outage was triggered by the simultaneous failure of multiple chillers in the cooling system of a data center within an Availability Zone (use1-az4) of the AWS us-east-1 region. This led to thermal shutdown protection for server racks, causing EC2 instances and EBS volumes to go offline, and impacting multiple internet services.During the recovery process, Coinbase's trading matching engine lost quorum after its cluster architecture, deployed within a single AWS data center, lost the majority of its nodes. Emergency code adjustments and the formation of new node groups were required to restore operations, with market trading being gradually restarted throughout the recovery.Additionally, the AWS Managed Streaming for Kafka (MSK) service experienced a control plane failure, preventing automatic re-election of partition leaders. This further blocked order books, fee calculations, and parts of the settlement and data streaming systems, expanding the overall impact. After Coinbase and the AWS engineering teams collaborated on manual partition migrations, the system gradually returned to normal.Coinbase indicated that this incident exposed deficiencies in its cross-Availability Zone automatic failover capabilities and the disaster recovery of managed middleware. The company will upgrade its cross-region hot standby architecture, strengthen regular disaster recovery drills, migrate its Kafka systems from a dual-AZ to a triple-AZ deployment, and work jointly with AWS to address root causes and implement improvements.
SlowMist Discloses Cross-Registry Supply Chain Attack Targeting Crypto and AI Developers
According to on-chain analyst PeckShield (@PeckShieldAlert), SlowMist’s threat intelligence system MistEye has detected a cross-registry supply chain attack targeting developers. Malicious packages have spread across three major registries—npm, PyPI, and Crates.io—comprising over 34 malicious packages and more than 384 related versions. The attack targets developer communities in cryptocurrency, DeFi, Solana, Sui/Move, and AI. It may lead to the theft of cryptocurrency wallets, SSH keys, cloud credentials, GitHub/AWS tokens, browser data, and other sensitive developer information. Some malicious payloads also attempt persistence via mechanisms including `.cursorrules`, `CLAUDE.md`, Git hooks, cron, systemd, and SSH. SlowMist recommends immediately removing affected packages, isolating compromised systems, rotating exposed credentials, rebuilding CI environments and developer machines from clean images, and conducting comprehensive reviews of GitHub, cloud, SSH, and wallet-related activities.
AWS partners with Coinbase and Stripe to launch AI agent stablecoin payment functionality, enabling microtransactions using USDC
According to The Block, Amazon Web Services (AWS) has partnered with Coinbase and Stripe to launch Amazon Bedrock AgentCore Payments, enabling AI agents to conduct transactions using stablecoins. Coinbase stated that developers can build “agent-based payment” solutions using the x402 protocol, allowing AI agents to make micro-payments in USDC. This feature enables AI agents to instantly pay for web content, APIs, MCP servers, and other agents. AWS noted that developers can choose between Coinbase and Stripe wallets and fund those wallets using either stablecoins or fiat currency.
PrimePiper Launches Prime Broker Dedicated to AI Agents, Enabling Multi-Exchange Connectivity, Cross-Venue Reconciliation, and Risk Control & Audit Capabilities
PrimePiper has launched an enterprise-grade prime broker platform for AI agents, designed to address challenges including fragmented account management, inadequate risk control, inability to reconcile across venues, and insufficient compliance auditing in AI-driven automated trading. According to the company, its infrastructure supports unified connectivity to multiple trading venues—including Hyperliquid, OKX, Tiger Brokers, and Interactive Brokers (IBKR). For risk control, PrimePiper offers enterprise-grade API key management, spending limits, and circuit-breaker mechanisms to constrain AI agent trading behavior. At the execution layer, it enables automated strategy execution via SDK or the Model Context Protocol (MCP). For compliance and auditing, it provides audit-grade reporting capabilities tailored for funds and traders. PrimePiper has been selected for the latest cohort of Founders Inc’s accelerator program; its product is currently in the Alpha stage. Team members hail from Galois Capital, Kraken, DRW, and AWS.
Claude Code exposed to high-severity security risk: Malicious configuration files could silently execute commands
Cos, founder of SlowMist, shared a tweet on X platform regarding potential poisoning attack risks in Claude Code and published a detailed analysis of poisoning attacks targeting Grok Build CLI and Claude Code CLI. The analysis pointed out that the security mechanisms of Grok Build CLI are not unified, with different code paths having different trust assumptions, and the gaps between them serve as channels for attackers.Attackers may exploit malicious project configuration files to execute arbitrary commands without the user's knowledge, thereby stealing API keys, cloud credentials, or gaining control over local devices. Researchers constructed a test environment and found that on Mac systems, if Claude Code is compromised, executing a specific test command could trigger the launch of a local calculator, demonstrating a potential command execution risk. If the attack succeeds, attackers could further steal API keys from AI services such as Claude and OpenAI, causing account cost losses; obtain credentials for cloud services like AWS, Alibaba Cloud, and Tencent Cloud to access servers and data; tamper with code repositories to implant backdoors; and leverage local devices as a springboard to attack internal enterprise networks. It is reported that the relevant vulnerability has existed for one year.
Claude Code Has Potential Poisoning Attack Risk: Malicious Configuration Files Could Enable Silent Code Execution
SlowMist founder Cosine retweeted a post about the potential poisoning attack risks of Claude Code, pointing out that attackers could execute arbitrary commands without the user's knowledge through malicious project configuration files, thereby stealing API keys, cloud credentials, or controlling local devices. Researchers constructed a test environment and found that in Mac systems, if Claude Code is affected, executing specific test commands can trigger the local calculator to launch, proving the existence of potential command execution risks. If the attack succeeds, attackers may further steal API Keys for AI services such as Claude and OpenAI, causing account fee losses; obtain cloud service credentials for AWS, Alibaba Cloud, Tencent Cloud, etc., to access servers and data; tamper with code repositories to implant backdoors; and use local devices as a springboard to attack enterprise internal networks.
Cambridge Study: US Hosts ~31% of Ethereum Nodes; Over One-Third Nodes Offline Could Impact Finalization
Odaily Odaily A new study by the Cambridge Centre for Alternative Finance reveals that approximately 31% of Ethereum node activity is located in the United States, with another 39% distributed across EU countries excluding the UK, indicating that the geographic distribution of Ethereum nodes remains relatively concentrated in Western nations.Lead researcher Alexander Neumuller stated that while node distribution is not currently concentrated in any single country, it is heavily reliant on a few major cloud service providers, including Hetzner, Amazon AWS, and OVH. Notably, the Ethereum network does not require half of its validators to fail for problems to arise. If more than one-third of validators go offline simultaneously, the network may be unable to finalize block checkpoints (finalization). Neumuller pointed out that nodes and validators do not have a one-to-one correspondence; a single node may run multiple validators. Therefore, it is currently impossible to precisely assess the actual impact on the validator network from the failure of a specific node or service provider.Furthermore, the study reassessed the energy consumption of Ethereum following The Merge. Data shows that Ethereum's current annual energy consumption is approximately 7.9 GWh, equivalent to a continuous power draw of about 1 MW. This represents only about 0.02% of pre-merge levels, a reduction of approximately 99.98%. Currently, over 56% of the energy used by the Ethereum network comes from sustainable sources, exceeding the global average.The study also noted that client software diversity is another potential risk. If a dominant client software has a vulnerability, it could affect a large number of network participants. The report was published by the Cambridge Centre for Alternative Finance and supported by the Ethereum Foundation. (The)
Anthropic Model Safety Controversy Escalates, Amazon Accused of Being the "Hidden Force" Triggering Regulatory Intervention
the U.S. government's export controls and access restrictions on Anthropic's models, Fable 5 / Mythos 5, were partly driven by Amazon's cybersecurity research and AWS CEO Andy Jassy's communications with the White House.It is understood that research submitted by Amazon indicated that through a series of prompt tests, researchers could induce Fable 5 to output sensitive information potentially usable for cyberattacks, raising security concerns. Subsequently, Andy Jassy reported these findings to the U.S. government level, prompting the White House to implement further restrictions, including banning foreign users from accessing the model.Meanwhile, former U.S. Commerce Department official Kate Koren revealed that the White House's existing policy stance towards Anthropic may have also influenced this decision. This is because Anthropic has disagreements with the White House over the boundaries of AI safety, including refusing to use its models for mass surveillance or lethal autonomous weapons systems. Although the two sides had eased tensions and expanded cooperation earlier this year, this incident could reignite strained relations between them. (The Wall Street Journal)
SlowMist Discloses Cross-Registry Supply Chain Attack Targeting Crypto and AI Developers
According to on-chain analyst PeckShield (@PeckShieldAlert), SlowMist’s threat intelligence system MistEye has detected a cross-registry supply chain attack targeting developers. Malicious packages have spread across three major registries—npm, PyPI, and Crates.io—comprising over 34 malicious packages and more than 384 related versions. The attack targets developer communities in cryptocurrency, DeFi, Solana, Sui/Move, and AI. It may lead to the theft of cryptocurrency wallets, SSH keys, cloud credentials, GitHub/AWS tokens, browser data, and other sensitive developer information. Some malicious payloads also attempt persistence via mechanisms including `.cursorrules`, `CLAUDE.md`, Git hooks, cron, systemd, and SSH. SlowMist recommends immediately removing affected packages, isolating compromised systems, rotating exposed credentials, rebuilding CI environments and developer machines from clean images, and conducting comprehensive reviews of GitHub, cloud, SSH, and wallet-related activities.
TrapDoor Cryptocurrency Theft Campaign Spans npm, PyPI, and Crates.io, Involving Over 34 Malicious Packages
According to research by security firm Socket Security, a cryptocurrency-stealing supply chain attack dubbed “TrapDoor” spans npm, PyPI, and Crates.io, involving over 34 malicious packages and 384 related versions and artifacts. The attack targets cryptocurrency, DeFi, Solana, Sui, Move, and AI developers. Attack samples can steal sensitive information including SSH keys, wallet data, AWS credentials, GitHub tokens, browser data, and environment variables. Specifically, npm packages execute the shared payload `trap-core.js` via the `postinstall` hook; PyPI packages execute remote JavaScript upon import; and Crates.io packages steal local keystores via `build.rs`. Socket has flagged all related packages as malicious and reported them to the respective package registries.
Travala opens AI agent use case, enabling booking of over 2 million properties on Base with USDC via large language models
Odaily News: Brian Armstrong posted on X platform stating that another feature for AI agents has been launched. The first use case is Travala, where users can use common large language models to book over 2 million properties on Base using USDC. He expressed excitement to see more enterprises building on this foundation with AWS AgentCore and opening their services to the newest and fastest-growing consumer segment.
Stock offering size expanded to $20 billion, with Intel institutional demand reportedly exceeding $100 billion
Odaily News: Citrini analyst jukan posted on X platform, stating that GF Securities Overseas Electronics Newsletter reiterated its Buy rating on Intel with a $136 price target, and believes this stock offering sends a positive signal. The report expects Intel's foundry business to break even in Q4 2027, with margin leverage effects fully reflected by 2028. Yield rates and external customer expansion—especially progress with Apple—are advancing steadily, and the EMIB customer base is also expanding, with customers including Google and AWS. Intel has secured support from substrate supplier Unimicron and will produce silicon capacitors internally. The report raised Intel's expected EPS for 2026 and 2027 by 3% and 1% respectively, maintaining the $136 price target after accounting for dilution effects. Intel expanded its stock offering from the initially planned $15 billion to $20 billion, with institutional demand reportedly exceeding $100 billion. The offering price was $95, and the overallotment option has been fully exercised. CEO Lip-Bu Tan and his family subscribed approximately $12 million at the offering price, which the report believes reflects management's confidence in the company and may support capital expenditure for fiscal year 2027. The report states that Intel reiterated its foundry business will achieve breakeven by the end of 2027; if delayed to 2028, the primary reason would be increased demand for additional investment. The report maintains its previous assessment, expecting 18A yield of approximately 80% in Q2 2026, with CWF already entering the capacity ramp-up phase. External customer collaboration continues to advance, with Apple's 14A high-volume manufacturing being particularly notable. The report raised Intel's back-end business revenue expectations for fiscal years 2027 and 2028 to $1.1 billion and $7 billion respectively, citing improved visibility into AWS Trainium3 adopting EMIB-T in 2027, as well as Google's Humufish and Triggerfish entering production expansion phases from H2 2027 to 2028. The report also expects that AWS and Microsoft ASIC products may adopt EMIB in 2028.
Amazon Q2 Earnings Beat Expectations, AWS Growth Hits 18-Quarter High, Full-Year Capital Expenditure Raised to $220 Billion
According to Fortune magazine, Amazon released its Q2 2026 earnings report, showing strong overall performance, with after-hours stock price rising over 9%. In terms of core data, AWS cloud business revenue reached $42.2 billion, a year-over-year increase of 37%, marking the fastest growth in nearly 18 quarters; operating income was $16.6 billion, up 64% year-over-year, with profit margin rising to 39.4%; AWS customer contract backlog reached $496 billion. The company's overall net sales increased by 20% year-over-year to $200.6 billion, with operating income of $27.5 billion. Regarding outlook, CEO Andy Jassy stated that Amazon's 2026 capital expenditure expectation was raised from $200 billion to $220 billion, mainly driven by rising memory costs, but even so, capacity is expected to remain insufficient to meet all demand in the next two years. Jassy also pointed out that 85% of global IT spending is still on-premises, the cloud migration wave is far from over, and AWS is winning the "largest share" of enterprise migration plans.
Moonshot AI to Open Source 2.8-Trillion-Parameter Kimi K3 Weights, Chinese Open-Weight Model Token Share Rises to 68%
Chinese AI startup Moonshot AI will release the model weights of its high-performance model, Kimi K3. Developers can download the model, modify it for various purposes, and run it in their own data centers or cloud environments.Kimi K3 boasts 2.8 trillion parameters and a 1 million token context window, enabling it to process large-scale documents and codebases in a single pass. Moonshot AI plans to later publish a technical report detailing the model's architecture, training methodology, and performance evaluation results.Following the release of Kimi K3, Moonshot AI's daily revenue is reported to have increased by at least 6 times. The company is reportedly advancing a new round of fundraising at a $50 billion valuation and is considering a Hong Kong listing as early as this year.According to Bloomberg Intelligence, following the release of Kimi K3 and Z.AI's GLM-5.2, the share of Chinese open-weight models in overall token usage has risen to 68%. Services like AWS Bedrock, Microsoft Azure Foundry, and Google Vertex AI currently do not offer Chinese open-weight models such as Kimi K3 and GLM-5.2.
Claude Code exposed to high-severity security risk: Malicious configuration files could silently execute commands
Cos, founder of SlowMist, shared a tweet on X platform regarding potential poisoning attack risks in Claude Code and published a detailed analysis of poisoning attacks targeting Grok Build CLI and Claude Code CLI. The analysis pointed out that the security mechanisms of Grok Build CLI are not unified, with different code paths having different trust assumptions, and the gaps between them serve as channels for attackers.Attackers may exploit malicious project configuration files to execute arbitrary commands without the user's knowledge, thereby stealing API keys, cloud credentials, or gaining control over local devices. Researchers constructed a test environment and found that on Mac systems, if Claude Code is compromised, executing a specific test command could trigger the launch of a local calculator, demonstrating a potential command execution risk. If the attack succeeds, attackers could further steal API keys from AI services such as Claude and OpenAI, causing account cost losses; obtain credentials for cloud services like AWS, Alibaba Cloud, and Tencent Cloud to access servers and data; tamper with code repositories to implant backdoors; and leverage local devices as a springboard to attack internal enterprise networks. It is reported that the relevant vulnerability has existed for one year.
Cambridge Study: US Hosts ~31% of Ethereum Nodes; Over One-Third Nodes Offline Could Impact Finalization
Odaily Odaily A new study by the Cambridge Centre for Alternative Finance reveals that approximately 31% of Ethereum node activity is located in the United States, with another 39% distributed across EU countries excluding the UK, indicating that the geographic distribution of Ethereum nodes remains relatively concentrated in Western nations.Lead researcher Alexander Neumuller stated that while node distribution is not currently concentrated in any single country, it is heavily reliant on a few major cloud service providers, including Hetzner, Amazon AWS, and OVH. Notably, the Ethereum network does not require half of its validators to fail for problems to arise. If more than one-third of validators go offline simultaneously, the network may be unable to finalize block checkpoints (finalization). Neumuller pointed out that nodes and validators do not have a one-to-one correspondence; a single node may run multiple validators. Therefore, it is currently impossible to precisely assess the actual impact on the validator network from the failure of a specific node or service provider.Furthermore, the study reassessed the energy consumption of Ethereum following The Merge. Data shows that Ethereum's current annual energy consumption is approximately 7.9 GWh, equivalent to a continuous power draw of about 1 MW. This represents only about 0.02% of pre-merge levels, a reduction of approximately 99.98%. Currently, over 56% of the energy used by the Ethereum network comes from sustainable sources, exceeding the global average.The study also noted that client software diversity is another potential risk. If a dominant client software has a vulnerability, it could affect a large number of network participants. The report was published by the Cambridge Centre for Alternative Finance and supported by the Ethereum Foundation. (The)
Related news
Travala opens AI agent use case, enabling booking of over 2 million properties on Base with USDC via large language models
Odaily News: Brian Armstrong posted on X platform stating that another feature for AI agents has been launched. The first use case is Travala, where users can use common large language models to book over 2 million properties on Base using USDC. He expressed excitement to see more enterprises building on this foundation with AWS AgentCore and opening their services to the newest and fastest-growing consumer segment.
Morgan Stanley Bullish on Amazon's AI Growth Potential: AWS Could Become a Trillion-Dollar Business
Odaily News Morgan Stanley stated that if Amazon's cloud computing business AWS accelerates its growth further, the company's stock price could reach $500 by the end of 2027, nearly doubling from current levels.Morgan Stanley's optimistic scenario is based on AWS's potential to develop into a business with annual revenue reaching $1 trillion, driven primarily by growing demand for AI computing power and data center expansion. As competition in AI infrastructure intensifies, Amazon is significantly increasing its AI-related investments. The company recently raised its AI capital expenditure forecast for 2026 to $220 billion, focusing on expanding cloud computing infrastructure, AI computing power, and data center capabilities.Morgan Stanley believes AWS will continue to play a core role in the AI wave. As enterprises accelerate their adoption of generative AI services, demand for cloud computing and inference computing power could further drive AWS revenue growth.However, Morgan Stanley currently maintains its base target price for Amazon at $335, representing approximately 28% upside from the current stock price. The $500 target price falls under a more optimistic scenario, contingent on whether AWS can achieve faster growth and fully capture opportunities in the AI infrastructure market.
Stock offering size expanded to $20 billion, with Intel institutional demand reportedly exceeding $100 billion
Odaily News: Citrini analyst jukan posted on X platform, stating that GF Securities Overseas Electronics Newsletter reiterated its Buy rating on Intel with a $136 price target, and believes this stock offering sends a positive signal. The report expects Intel's foundry business to break even in Q4 2027, with margin leverage effects fully reflected by 2028. Yield rates and external customer expansion—especially progress with Apple—are advancing steadily, and the EMIB customer base is also expanding, with customers including Google and AWS. Intel has secured support from substrate supplier Unimicron and will produce silicon capacitors internally. The report raised Intel's expected EPS for 2026 and 2027 by 3% and 1% respectively, maintaining the $136 price target after accounting for dilution effects. Intel expanded its stock offering from the initially planned $15 billion to $20 billion, with institutional demand reportedly exceeding $100 billion. The offering price was $95, and the overallotment option has been fully exercised. CEO Lip-Bu Tan and his family subscribed approximately $12 million at the offering price, which the report believes reflects management's confidence in the company and may support capital expenditure for fiscal year 2027. The report states that Intel reiterated its foundry business will achieve breakeven by the end of 2027; if delayed to 2028, the primary reason would be increased demand for additional investment. The report maintains its previous assessment, expecting 18A yield of approximately 80% in Q2 2026, with CWF already entering the capacity ramp-up phase. External customer collaboration continues to advance, with Apple's 14A high-volume manufacturing being particularly notable. The report raised Intel's back-end business revenue expectations for fiscal years 2027 and 2028 to $1.1 billion and $7 billion respectively, citing improved visibility into AWS Trainium3 adopting EMIB-T in 2027, as well as Google's Humufish and Triggerfish entering production expansion phases from H2 2027 to 2028. The report also expects that AWS and Microsoft ASIC products may adopt EMIB in 2028.
Morgan Stanley: Storage LTAs Are Rewriting Pricing Logic, Major Suppliers Vying to Lock in Long-Term Capacity
According to TechFlow Research, Morgan Stanley's August Global Technology Webinar pointed out that memory chip Long-Term Agreements (LTAs) are shifting from intention disclosure to substantive implementation, and pricing mechanisms are being rewritten. Samsung explicitly planned for the first time to include 60% to 70% of capacity into rolling five-year LTAs, with 5 contracts signed and 5 in final negotiation; clients include AWS, Microsoft, Google, Meta, and Oracle. Micron has signed 16 LTAs, receiving approximately $22 billion in prepayments and commitments. SanDisk locked over 50% of FY2027 wafer capacity, with a minimum revenue commitment reaching $93.9 billion. Kioxia targets to include 50% of sales volume into LTAs by 2028. Pricing is shifting from spot pricing to a two-way protection mechanism with price floors and ceilings, and clients need to provide prepayment deposits. The research report estimates that 3Q26 DRAM contract prices will rise QoQ by about 15% (lower than the expected 20%), NAND will rise by about 20%, with gains narrowing for both; it is expected to slow down further in 4Q26, but Morgan Stanley believes this does not mean the end of the cycle. Price protection mechanisms under the LTA framework are reducing the earnings volatility of memory manufacturers, and the market should no longer use the traditional commodity cycle framework to price memory stocks. Regarding SpaceX, Morgan Stanley maintains an Overweight rating and a $300 price target, with an end-2026 ARR target of at least $100 billion, and 4Q26 single-quarter ARR expected to be about $22 billion.
JPMorgan: S&P 500 Year-End Target Raised to 8,000 Points, AI Monetization Starting to Catch Up with Spending Pace
According to TechFlow Research, JPMorgan's US stock strategy report on August 9 raised the S&P 500 year-end target price from 7,800 points to 8,000 points, the 2026 EPS forecast from $358 to $365 (+35%), and the 2027 EPS forecast to $420 (+15%). Among the 87% of companies that have disclosed earnings, 78% beat earnings expectations, with Q2 earnings growth reaching 53%. The report noted that AI capital expenditure is expected to reach $900 billion in 2026 (+85%), surpassing $1.2 trillion in 2027, with hyperscale vendors accounting for approximately 87%. However, cloud revenue realization is accelerating: AWS up 37%, Azure up 43%, Google Cloud up 82%; AWS backlog orders increased 36% quarter-over-quarter to $496 billion, and Google backlog orders increased by $55 billion to $514 billion. JPMorgan believes the order coverage ratio is improving, and monetization pace is catching up with spending pace. Excluding Google and Amazon's combined $152 billion in unrealized private equity gains (mainly from Anthropic's $65 billion financing), Q2 actual earnings growth was about 31%, and 2026 normalized EPS is about $347 (+28%). JPMorgan maintains the assumption of approximately 20x forward P/E ratio for the S&P 500 index unchanged, stating that the earnings upward revision is sufficient to
Bernstein: Datadog Q2 Revenue Growth Reaches 35.6%, Will Moderately Slow to 33% in Second Half
According to TechFlow Research, Bernstein's August 6 research report noted that Datadog's Q2 revenue was $1.121 billion, up 35.6% year-over-year, accelerating 340 basis points quarter-over-quarter, marking the strongest growth rate since 2022. The company's quarterly revenue exceeded guidance by $46 million, and the midpoint of the full-year guidance was raised by more than 3 times. Non-AI business revenue grew over 20% year-over-year. Bernstein expects growth in the second half to slow by about 200 basis points to around 33%. The largest AI customer, OpenAI, saw a decline in spending during renewal in early Q3; Bernstein has adjusted down its annualized contract value to approximately $115 million. The second-largest AI customer, Anthropic, is expected to grow 10% to 15% quarter-over-quarter in Q3 and Q4, with steady growth. Affected by volume contraction from top customers, the net retention rate will see a one-time dip in Q3. AWS web traffic metrics suggest there may be an "air pocket" in Q4. Bernstein maintains a "Market Perform" rating with a price target of $237, implying about 16% downside from the current stock price, believing that the current adjusted P/E ratio of about 105 times for 2026 is fully priced.