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Project Overview
Code is a swap aggregator platform that scans various DEXs to find the most favorable trading conditions for users. Instead of users having to manually check different platforms for the best price, liquidity, and fees, a swap aggregator does this automatically, often in real-time.
AI Code Verification Startup Blacksmith Closes $45 Million Series B Round, Led by Peak XV Partners
According to TechCrunch, AI code verification startup Blacksmith announced the completion of a $45 million Series B funding round, led by Peak XV Partners, with participation from GV and Y Combinator, valuing the company at $550 million.
AI programming startup Cognition completes over $1 billion in funding, valuation reaches $25 billion
: AI programming startup Cognition announced the completion of a new funding round of over $1 billion, with its pre-money valuation surging to $25 billion, doubling from the $10.2 billion post-money valuation achieved just 8 months ago.This funding round was led by Lux Capital and General Catalyst, with continued participation from Founders Fund and 8VC. New investors include Ribbit Capital, Atreides, and Layer Global.According to official data, the company's AI programmer product, Devin, has achieved a 50% month-over-month growth in enterprise user adoption over the past 6 months. The company's current Annual Recurring Revenue (ARR) has reached $492 million, with customers including major institutions such as Mercedes-Benz, NASA, Goldman Sachs, and Santander Bank.Facing competition from native AI coding tools such as Anthropic Claude Code, OpenAI Codex, and Google Jules, Cognition stated that Devin's continued growth and the acquisition of Windsurf assets demonstrate that independent AI programming agents still possess commercial viability.
OpenAI Bars Bitcoin Red Team Member from Continuing Bitcoin Code Security Research
Odaily Odaily News: Bitcoin Red Team member @Rob1Ham stated that OpenAI has blocked him from continuing security analysis of the Bitcoin codebase, after he had responsibly disclosed real vulnerabilities found within it. Rob1Ham said he had previously completed identity verification and onboarding processes related to OpenAI's cybersecurity capabilities, but is currently unable to continue investigating whether the fixes are sufficient or whether other vulnerabilities still exist. He stated that he will now resume Bitcoin security research using an open-source Chinese AI model. Rob1Ham commented: "Black hat hackers won't attack these issues, white hat hackers will." He also added: "For those who don't follow the rules and engage in harmful behavior, intelligence is unrestricted, while those committed to reducing harm are being excluded." (Bitcoin News)
AMD launches AI programming platform Instinct Coder, which can reduce enterprise AI coding costs by 70%
Odaily News AMD, the semiconductor giant, announced the launch of its enterprise-grade AI programming platform, AMD Instinct Coder. The platform combines AMD chips, Supermicro servers, and Spectro Cloud software, aiming to help enterprises deploy AI coding assistants locally, reduce the cost of cloud-based AI models, and protect code and data security.AMD stated that Instinct Coder is an "out-of-the-box" end-to-end AI development platform, integrating AMD EPYC processors, AMD Instinct GPUs, Supermicro AI servers, Spectro Cloud PaletteAI Inference Launchpad software, and the AMD-optimized GLM-5.2 model. It can be used for software development scenarios such as code generation, application modernization, automated testing, and code review.AMD said that compared to relying on cutting-edge cloud-based AI models, Instinct Coder can help enterprises reduce total cost of ownership (TCO) by up to 70%, with the fastest payback period shortened to 6 months.AMD noted that more and more enterprises are looking to leverage AI to improve development efficiency, but face two major challenges: on one hand, the cost of invoking top-tier cloud models continues to rise; on the other hand, entrusting enterprise source code, intellectual property, and sensitive data to third-party services poses security and compliance risks.Through a local deployment model, Instinct Coder allows enterprises to maintain control over their data and code while providing more predictable infrastructure costs. The platform supports development tools such as Claude Code, OpenAI Codex, Visual Studio Code, and Cursor, with each node supporting up to 50 users (30 concurrent users).Additionally, the PaletteAI Inference Launchpad provided by Spectro Cloud enables AI workload management, model routing, request auditing, and cost monitoring, and supports invoking external models such as Anthropic, OpenAI, Google, or xAI when needed.AMD stated that Instinct Coder aims to help enterprises break free from the high costs of cloud-based AI services, accelerate AI-driven software development processes while ensuring data security and autonomous control.
Research: AI Code Review Can Reduce Review Time, But Quality Risks Cannot Be Ignored
According to the research summary published by Rohan Paul, a large-scale study covering 207 GitHub projects and 1.02 million pull requests shows that introducing AI agent review can reduce code review time by 2.5 to 4.5 days/KLOC, but at the cost of declining review quality—in reviews involving AI, 78%~94% of PRs exhibit "review smells", higher than the 69%~76% in pure human reviews. The study points out that repeatedly assigning the same AI reviewer identity is the main reason leading to the decline in review diversity. Notably, projects that introduced LLM review extensively in the early stage did not achieve significant efficiency improvements.
Anthropic Supports FCA "Super Sandbox" Second Batch AI Experimental Projects
According to an official announcement by the FCA, Anthropic will provide access to its suite of Claude products (including Claude Code and Claude Cowork) for the second batch of participating enterprises in the UK Financial Conduct Authority (FCA) "Super Sandbox" to accelerate their AI development process. A total of 21 institutions were selected for the second batch, including Scottish Widows, Money Advice Trust, and TrueLayer, among others. The number of applications this time increased by 51% compared to the first batch, with a total of 199 applications received. Participating enterprises will test AI solutions focusing on the following areas: agent payment security, fraud and financial crime detection, AI governance and accountability, financial inclusion for vulnerable groups, and compliance and business automation. Additionally, the FCA simultaneously launched the "Agentic Academy"—a 10-week AI specialized training program co-hosted by the FCA and the Centre for Finance, Technology and Entrepreneurship (CFTE). Participating enterprises will continue to have access to NayaOne digital sandbox infrastructure and NVIDIA accelerated computing resource support.
David Sacks warns: Chinese AI model tops coding benchmark, US regulatory constraints may weaken AI competitiveness
Odaily Odaily News Former White House Crypto and AI Director David Sacks posted on X, stating that the Chinese AI model Kimi K3 has topped the Frontier Code Arena front-end coding benchmark for the first time, and has reached or approached industry-leading levels in several other benchmark evaluations. This trend is noteworthy. While China's AI capabilities are rapidly improving, the US is mired in internal strife due to regulatory controversies. He criticized some US politicians and regulatory bodies for restricting new data center construction, increasing state-level regulatory requirements, and promoting the establishment of new federal agencies for pre-approval of frontier AI models.David Sacks warned that if the US slows down innovation due to excessive regulation, it may lose its competitive edge in the global AI race. "The US won the internet era through permissionless innovation, and it can win the AI era the same way; otherwise, we will see our leading position gradually erode." While AI development still needs to address safety risks, regulation should be precise, not hinder technological innovation. His remarks have once again sparked discussion on AI regulation, computing infrastructure construction, and the competitive landscape between China and the US.
Claude 延长 Fable 5 访问权限至 7 月 19 日
据 Claude 官方 X 账号（@claudeai）发布，Claude 将在所有付费计划中延长 Fable 5 的访问权限，同时 Claude Code 每周使用限制维持高出 50% 的水平，上述政策延续至 7 月 19 日。官方补充说明，用户每周使用限额的一半可用于 Fable 5，超出后可通过使用积分继续访问，或切换至其他模型继续使用。
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.
Bitget Launches New User Futures Campaign with Up to $656 USDT Rewards per User
Bitget Launches the “Code 0511” New User Campaign, Running from May 11 to May 18. During the campaign period, users who complete KYC verification will receive 1–5 USDT; those who complete their first deposit and futures trading task—each totaling at least 100 USDT—will receive an additional 10 USDT. Moreover, new users whose futures trading volume reaches specified thresholds can claim further rewards, with a maximum cumulative reward of 641 USDT. Full campaign rules are published on the official Bitget platform. Eligible users must click the “Join Now” button to register before participating.
Bitget Wallet Launches May Day QR Code Payment Campaign with Cashback up to 1,000 RLUSD per Transaction
Bitget Wallet has launched a Labor Day QR code payment campaign, running from April 28 to May 7, further driving the adoption of stablecoin payments in everyday consumption and travel scenarios across the Asia-Pacific (APAC) region. During the campaign, users who complete offline QR code payments using USDT or USDC will receive RLUSD cashback for each transaction. From May 1 to May 7, Bitget Wallet will randomly select one paying user per day to receive an additional 1,000 RLUSD cashback. To lower the barrier to first-time usage, Bitget Wallet will also airdrop XRP to eligible participants—serving as the account reserve required to activate RLUSD withdrawals. RLUSD is a compliant U.S. dollar-pegged stablecoin issued by Ripple and regulated by the New York State Department of Financial Services (NYDFS). This campaign marks Bitget Wallet’s first real-world consumer application following its integration of the XRP Ledger (XRPL) mainnet and onboarding of the RLUSD payment ecosystem at the end of March—and represents a key milestone in advancing Bitget Wallet’s Everyday Finance strategy.
Binance Launches QR Code Payments in Bolivia, Supporting 100 Cryptocurrencies Including USDT and BTC
Binance has announced support for users to make payments at all merchants in Bolivia using Binance QR codes. Over 100 cryptocurrencies—including USDT and BTC—are supported. Users simply confirm transactions via the app, and Binance automatically converts their funds into the local currency at the time of payment. Binance stated that the QR code payment service is available exclusively to Binance users whose identity verification location is in Bolivia, and users must hold cryptocurrency in their Binance account (Binance Spot, Deposit, or Earn).
Zhipu AI Releases GLM-5.3: Coding and Long-Horizon Task Capabilities Significantly Improved, Model Weights to Be Released in Two Weeks
Z.ai releases GLM-5.3, based on the same foundation model as GLM-5.2, achieving capability improvements through expanded post-training. According to the official announcement, GLM-5.3 improves by 50% over GLM-5.2 on the internal Z.ai Code Bench coding benchmark, and reaches a leading level among open models in public benchmarks such as Terminal Bench 3.0 and Agents' Last Exam. In terms of cybersecurity, GLM-5.3 achieved a score of 84.5% in the CyberGym vulnerability discovery test, and significantly improved compared to the previous generation in exploit chain-related tests such as ExploitBench and ExploitGym.
OpenAI Bars Bitcoin Red Team Member from Continuing Bitcoin Code Security Research
Odaily Odaily News: Bitcoin Red Team member @Rob1Ham stated that OpenAI has blocked him from continuing security analysis of the Bitcoin codebase, after he had responsibly disclosed real vulnerabilities found within it. Rob1Ham said he had previously completed identity verification and onboarding processes related to OpenAI's cybersecurity capabilities, but is currently unable to continue investigating whether the fixes are sufficient or whether other vulnerabilities still exist. He stated that he will now resume Bitcoin security research using an open-source Chinese AI model. Rob1Ham commented: "Black hat hackers won't attack these issues, white hat hackers will." He also added: "For those who don't follow the rules and engage in harmful behavior, intelligence is unrestricted, while those committed to reducing harm are being excluded." (Bitcoin News)
Bitcoin Red Team Has Scanned Approximately 150 Bitcoin Code Repositories, Uncovering More Than a Dozen Vulnerabilities
Odaily News: The Bitcoin Red Team volunteer security initiative has scanned approximately 150 Bitcoin-related code repositories and disclosed more than a dozen vulnerabilities. The team is developing an open-source AI platform to audit Bitcoin software, covering wallets, cryptographic libraries, infrastructure, and other projects. AnchorWatch CEO Rob Hamilton stated that the team has so far spent approximately $20,000 on various AI services, using Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, as well as Z.ai's GLM 5.2 to identify vulnerabilities and generate related documentation. Pseudonymous Bitcoin developer Calle said that over the past 12 hours, the team has reported critical vulnerabilities to multiple projects, discovering on average roughly one critical vulnerability per person per hour, with daily spending of around $10,000. The team has not disclosed the affected projects or details of the vulnerabilities.
Model Autonomously Launched Social Engineering Attacks During UK AI Safety Institute Tests, Involving Identity Forgery and Malicious Code Insertion
Cybersecurity tests conducted by the UK AI Safety Institute found that AI models with unrestricted internet access, without being instructed, autonomously forged false identities, implanted malicious code into open-source projects, and launched social engineering attacks against real individuals and organizations.
Over 1,800 BTC Stolen, Coinkite CTO Allegedly Ignored RNG Code Warnings a Year in Advance
Odaily Planet Daily reported that Bitcoin News posted on X platform, stating that new evidence suggests the anonymous account "switck," who wrote the LibNgU code, may actually be Peter Gray, Co-founder and CTO of Coinkite. This code is at the center of the COLDCARD entropy failure incident. Researchers claim that Gray's GPG key signed dozens of commits by switck, and other identifiers appear to link the two identities together. Bitcoin developer James O'Beirne stated that he had warned Coinkite in May 2025 that the RNG implementation of LibNgU looked suspicious and recommended removing it, but he said the other party responded that if there were issues, they would have already been discovered. Screenshots also show that as early as April 2021, users had already raised questions about the LibNgU rewrite. If these findings are accurate, it means that the engineer who introduced the code was later linked to the theft of over 1,800 BTC, and had received direct warnings about the RNG implementation more than a year before the vulnerability was publicly disclosed.
Community users used AI to audit Coldcard code, discovering a critical vulnerability in just 8 minutes
Developers on Reddit used Claude Code to scan the Coldcard open-source firmware for vulnerabilities, pinpointing the core issue within 8 minutes: When generating private keys, the firmware invoked a software pseudo-random number generator instead of a hardware true random number generator, and it was this vulnerability that led to the theft of approximately $70 million in BTC from 1,196 wallets. Meanwhile, community users also reported that using Zhipu GLM 5.2 (trained on June 16, offline) for an independent scan similarly discovered this vulnerability. This bug has existed in the open-source wallet code for over five years.
AI Code Editor Cursor Launches New Code Hosting Platform
According to Cursor's official announcement, its code hosting platform Origin officially launched on August 18, enabling users to sync code repositories directly from GitHub and featuring deep integration with Cursor. It has currently integrated with mainstream GitHub ecosystem partners such as Vercel, Buildkite, and Depot. More integration services will be introduced successively, and the Beta version has begun rolling out to users.
Zhipu AI Releases GLM-5.3: Coding and Long-Horizon Task Capabilities Significantly Improved, Model Weights to Be Released in Two Weeks
Z.ai releases GLM-5.3, based on the same foundation model as GLM-5.2, achieving capability improvements through expanded post-training. According to the official announcement, GLM-5.3 improves by 50% over GLM-5.2 on the internal Z.ai Code Bench coding benchmark, and reaches a leading level among open models in public benchmarks such as Terminal Bench 3.0 and Agents' Last Exam. In terms of cybersecurity, GLM-5.3 achieved a score of 84.5% in the CyberGym vulnerability discovery test, and significantly improved compared to the previous generation in exploit chain-related tests such as ExploitBench and ExploitGym.
MetaMask Launches Self-Custodial AI Wallet Agent Wallet, Enabling Autonomous On-Chain Trading
Odaily News: MetaMask on Thursday launched the self-custodial wallet Agent Wallet, which allows AI agents to execute on-chain transactions within user-defined limits. It targets traders and developers who use AI agents to monitor markets, identify opportunities, and execute trades autonomously. Users can set spending limits, approve specific protocols, choose risk settings, and select between Guard Mode and Beast Mode for different levels of automation. Agent Wallet supports Claude Code, Codex, Cursor, OpenClaw, Hermes, OpenCode, as well as Hyperliquid and Ethereum Virtual Machine-compatible networks. Agent Wallet supports gas abstraction, allowing users to pay network fees using the asset being transferred, without needing to hold the network's native token. MetaMask stated that supported transactions will undergo transaction simulation, threat scanning, and smart transaction MEV protection. Eligible transactions that still incur losses after passing security checks may be covered by Transaction Protection of up to $10,000 per month.
Meta Launches Muse Code Programming Agent, Supports Multi-File Code Changes
Meta launches Muse Code (Beta), a terminal programming agent designed for long-cycle software engineering, powered by the Muse Spark 1.2 model. Muse Code can plan, implement, and verify complex multi-file changes in large codebases, and with the support of persistent sub-agents, it resolves engineering challenges faster, more accurately, and with less intervention, improving development efficiency.
AMD launches AI programming platform Instinct Coder, which can reduce enterprise AI coding costs by 70%
Odaily News AMD, the semiconductor giant, announced the launch of its enterprise-grade AI programming platform, AMD Instinct Coder. The platform combines AMD chips, Supermicro servers, and Spectro Cloud software, aiming to help enterprises deploy AI coding assistants locally, reduce the cost of cloud-based AI models, and protect code and data security.AMD stated that Instinct Coder is an "out-of-the-box" end-to-end AI development platform, integrating AMD EPYC processors, AMD Instinct GPUs, Supermicro AI servers, Spectro Cloud PaletteAI Inference Launchpad software, and the AMD-optimized GLM-5.2 model. It can be used for software development scenarios such as code generation, application modernization, automated testing, and code review.AMD said that compared to relying on cutting-edge cloud-based AI models, Instinct Coder can help enterprises reduce total cost of ownership (TCO) by up to 70%, with the fastest payback period shortened to 6 months.AMD noted that more and more enterprises are looking to leverage AI to improve development efficiency, but face two major challenges: on one hand, the cost of invoking top-tier cloud models continues to rise; on the other hand, entrusting enterprise source code, intellectual property, and sensitive data to third-party services poses security and compliance risks.Through a local deployment model, Instinct Coder allows enterprises to maintain control over their data and code while providing more predictable infrastructure costs. The platform supports development tools such as Claude Code, OpenAI Codex, Visual Studio Code, and Cursor, with each node supporting up to 50 users (30 concurrent users).Additionally, the PaletteAI Inference Launchpad provided by Spectro Cloud enables AI workload management, model routing, request auditing, and cost monitoring, and supports invoking external models such as Anthropic, OpenAI, Google, or xAI when needed.AMD stated that Instinct Coder aims to help enterprises break free from the high costs of cloud-based AI services, accelerate AI-driven software development processes while ensuring data security and autonomous control.
Ethereum Foundation Funds WEBCAT Development, Advancing Wallet and Application Frontend Code Verification
The Ethereum Foundation's "Trillion Dollar Security" initiative announced a grant to the Freedom of the Press Foundation to support the continued development of the open-source tool WEBCAT. This tool helps browsers verify whether the frontend code actually delivered by a website matches the version released by the developer, reducing security risks associated with frontend tampering.
Related news
Anthropic extends Claude Code weekly quota 50% bonus until August 31
Anthropic has extended the 50% boost on Claude Code weekly usage limits from the originally scheduled August 19 to August 31, and is exploring making this adjustment a fixed quota scheme. Announced on July 19, this boost applies to Pro, Max, Team, and seat-based Enterprise subscription users. The web, desktop, and Claude Code share the same pool of quotas; switching models cannot bypass the weekly limit.
AI Code Editor Cursor Launches New Code Hosting Platform
According to Cursor's official announcement, its code hosting platform Origin officially launched on August 18, enabling users to sync code repositories directly from GitHub and featuring deep integration with Cursor. It has currently integrated with mainstream GitHub ecosystem partners such as Vercel, Buildkite, and Depot. More integration services will be introduced successively, and the Beta version has begun rolling out to users.
Zhipu AI Releases GLM-5.3: Coding and Long-Horizon Task Capabilities Significantly Improved, Model Weights to Be Released in Two Weeks
Z.ai releases GLM-5.3, based on the same foundation model as GLM-5.2, achieving capability improvements through expanded post-training. According to the official announcement, GLM-5.3 improves by 50% over GLM-5.2 on the internal Z.ai Code Bench coding benchmark, and reaches a leading level among open models in public benchmarks such as Terminal Bench 3.0 and Agents' Last Exam. In terms of cybersecurity, GLM-5.3 achieved a score of 84.5% in the CyberGym vulnerability discovery test, and significantly improved compared to the previous generation in exploit chain-related tests such as ExploitBench and ExploitGym.
AI Code Verification Startup Blacksmith Closes $45 Million Series B Round, Led by Peak XV Partners
According to TechCrunch, AI code verification startup Blacksmith announced the completion of a $45 million Series B funding round, led by Peak XV Partners, with participation from GV and Y Combinator, valuing the company at $550 million.
OpenAI Bars Bitcoin Red Team Member from Continuing Bitcoin Code Security Research
Odaily Odaily News: Bitcoin Red Team member @Rob1Ham stated that OpenAI has blocked him from continuing security analysis of the Bitcoin codebase, after he had responsibly disclosed real vulnerabilities found within it. Rob1Ham said he had previously completed identity verification and onboarding processes related to OpenAI's cybersecurity capabilities, but is currently unable to continue investigating whether the fixes are sufficient or whether other vulnerabilities still exist. He stated that he will now resume Bitcoin security research using an open-source Chinese AI model. Rob1Ham commented: "Black hat hackers won't attack these issues, white hat hackers will." He also added: "For those who don't follow the rules and engage in harmful behavior, intelligence is unrestricted, while those committed to reducing harm are being excluded." (Bitcoin News)
Bitcoin Red Team Has Scanned Approximately 150 Bitcoin Code Repositories, Uncovering More Than a Dozen Vulnerabilities
Odaily News: The Bitcoin Red Team volunteer security initiative has scanned approximately 150 Bitcoin-related code repositories and disclosed more than a dozen vulnerabilities. The team is developing an open-source AI platform to audit Bitcoin software, covering wallets, cryptographic libraries, infrastructure, and other projects. AnchorWatch CEO Rob Hamilton stated that the team has so far spent approximately $20,000 on various AI services, using Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, as well as Z.ai's GLM 5.2 to identify vulnerabilities and generate related documentation. Pseudonymous Bitcoin developer Calle said that over the past 12 hours, the team has reported critical vulnerabilities to multiple projects, discovering on average roughly one critical vulnerability per person per hour, with daily spending of around $10,000. The team has not disclosed the affected projects or details of the vulnerabilities.