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Codex, the boosting layer for Bunni. Bunni is the premiere liquidity engine for Uni v3, powered by the veLIT governance. Just like on Curve, APR on Bunni pools may be boosted by holding a certain amount of veLIT tokens. This creates alignment between being a liquidity provider and a protocol stakeholder.
OpenAI CFO Internal Disclosure: July Annualized Revenue Exceeds Entire Q2
据 CNBC 报道，OpenAI 首席财务官 Sarah Friar 与董事会主席 Bret Taylor 于7月 29 日召开内部员工会议，Friar 透露，OpenAI 7 月年化经常性收入已超过整个第二季度总量，并强调"二季度本身表现已相当亮眼"。此次增长主要由 GPT-5.6 系列模型发布、企业级 AI 代理产品 ChatGPT Work 上线以及 AI 编程工具 Codex 的快速普及所驱动。 会议背景下，OpenAI 正面临来自 Anthropic 及中国开源模型的双重竞争压力。Anthropic 此前披露年化收入已超 470 亿美元，估值亦于今年早些时候超越 OpenAI。对此，Taylor 承认 OpenAI 在编程市场曾处于追赶态势，但对 Codex 的增长势头表示乐观。目前，OpenAI与 Anthropic 均已秘密向 SEC 提交 IPO 申请，具体上市时间尚未公布。OpenAI 当前估值约为 8520 亿美元，并正与英伟达洽谈最高 2500 亿美元的资金支持计划，用于在俄亥俄州租赁大型 AI 数据中心。
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.
Former OpenAI Engineer Founds Blackstar, Completes $12 Million Seed Funding Round
Odaily News: Daniel Edrisian, a former engineer from the OpenAI Codex team, has announced his departure to found AI hardware company Blackstar Computers. The company has completed a $12 million seed funding round led by Abstract, with participation from SV Angel, Naval Ravikant, Chapter One, and Timeless.Blackstar positions itself as a new type of computing device, aiming to redefine the computing experience from the hardware, software, and interaction levels. Edrisian stated that while current software development is mature, further enhancement of human-AI interaction requires innovation at the operating system level. The company currently has a team of about 8 people, distributed between San Francisco and Shenzhen, and has not yet launched a public product.
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.
AI code review missed a critical vulnerability that COLDCARD was exploited for last week
Odaily Planet Daily reported that Bitcoin News stated on the X platform that Coinkite said the vulnerability existed at the boundary between two unrelated firmware submodules, rather than in its Bitcoin or encryption code, which allowed it to evade both manual and AI-assisted code reviews for years. Coinkite stated that after the incident, the company tested cutting-edge AI models including Kimi K3, Claude Fable, and Codex 5.6, none of which identified the flaw. Coinkite is now urging security-critical projects to specifically audit build systems and submodule boundaries, and warned that AI-assisted development could leave similar blind spots in the Bitcoin ecosystem.
OpenAI has reset usage limits for ChatGPT Work and Codex users
Odaily Odaily News: OpenAI Codex Product Lead Tibo announced that usage limits have been reset for all ChatGPT Work and Codex users.Tibo stated that recent user feedback indicated GPT-5.6 Sol was consuming Codex limits faster than anticipated. Following an investigation, OpenAI has implemented several optimizations. It is projected that under typical usage scenarios, Sol's limit endurance will improve by approximately 18%, with some users seeing more noticeable improvements starting today.He explained that Sol tends to work for longer periods, make additional tool calls, and coordinate complex processes, while High mode consumes more tokens compared to previous models. Additionally, factors such as parallel tool calls in code mode and increased cached input have also led to higher-than-expected usage for certain tasks.OpenAI stated that Sol represents a significant upgrade to Codex's capabilities, but increased model capabilities do not always translate into efficiency gains. The company will continue to optimize code mode efficiency and restore the five-hour limit that was suspended during the investigation.
OpenAI to acquire backend agent platform Ona
According to an announcement on OpenAI’s official website, OpenAI has announced its acquisition of Ona, a security-focused cloud execution and orchestration technology company, to expand its Codex ecosystem. Codex currently boasts over 5 million weekly active users—a 400% increase since the beginning of the year. Ona previously served 2 million developers; its customer-controlled execution model enables AI agents to run continuously within an organization’s own cloud environment, meeting enterprise requirements for security, governance, and compliance. Following the acquisition, the Ona team will join OpenAI to help extend Codex into more enterprise-grade production workflows.
Analysis: Anthropic and OpenAI Exposed Security Vulnerabilities in Succession, Raising Concerns Over AI Model Safety
, Anthropic and OpenAI have experienced security incidents in succession, drawing market attention to the security of AI models themselves. Currently, Anthropic is investigating a possible case of unauthorized user access to its Claude Mythos model. Almost simultaneously, OpenAI was also reported to have accidentally opened access to several unreleased models within its Codex application.Analysts believe that such incidents highlight that even AI model providers focused on cybersecurity capabilities still face significant security challenges. While AI is increasingly used for cyber defense, platform security and access control are becoming critical risk points.Industry insiders point out that these vulnerability incidents have intensified scrutiny over the security governance capabilities of AI companies, and also reflect that the security systems of current AI technology still need improvement amid rapid development. (The Information)
OpenAI Responds to High-Compute Mode Consumption Visibility Issues: Urgently Resets Codex and ChatGPT Work Quotas
Tibo, a core member of OpenAI Codex, posted on X platform stating that previously, it was too easy for users to enable high-compute mode without fully explaining its impact on usage quotas. The large-scale revamp of the desktop application made common features like chats and projects difficult to find. Additionally, promotional efforts overly focused on ChatGPT Work, leading some Codex users to mistakenly believe that Codex would be phased out in the future. Furthermore, the new version also caused issues with some multi-agent workflows, plugin functions, and other user experiences.In response to the above issues, OpenAI has already rolled out the first batch of improvement measures, including adjusting default settings and the model selector to prevent users from accidentally using high-cost configurations, fixing several plugin submission issues, optimizing the presentation of Codex within the product, and resolving some desktop experience problems.Additionally, over the past 24 hours, OpenAI has been continuously collecting user feedback, analyzing usage patterns, and communicating with users. Although the market has shown strong interest in GPT 5.6 Sol and the web and mobile versions of ChatGPT Work, OpenAI also acknowledges that this update has multiple issues.As of now, two rounds of Codex and ChatGPT Work usage quota top-ups have been completed. The next larger-scale update will be released next week, when chat and project features will return to the sidebar in a more familiar and customizable form. The platform will also enhance the visibility of usage quotas and reset times, further clarifying the respective applicable scenarios for ChatGPT Work and Codex.
Altman: OpenAI to Operate as "Permanently Low-Profit" Company, Aiming to Follow Stripe's Model
Odaily OpenAI CEO Sam Altman stated at Stripe Sessions that OpenAI aspires to become an infrastructure company that is "permanently low-profit, yet massive and fast-growing," offering products akin to "smart meters" that allow anyone to purchase them to automate businesses, develop products, or embed them into their own services. He compared OpenAI to Stripe, noting that their model is usage-based billing, and as the internet scales, both Stripe and its users benefit.Altman revealed that OpenAI has already signed 20-year contracts for electricity and land to support this goal. He acknowledged that switching costs in AI are low, and the recent massive influx of users from competing programming tools to Codex proves that the smarter AI becomes, the easier it is to switch platforms. He pointed out that while some companies might try to capture the entire industry chain, OpenAI does not plan to do so, believing that models and data centers are a whole, and other companies can build products on top of them.Altman also emphasized that businesses should not overestimate AI's impact on existing business structures. Although AI has changed many existing processes, good products will still survive in the market. He specifically mentioned that Shopify CEO Toby Lütke is the best AI adopter he has ever seen.
AI code review missed a critical vulnerability that COLDCARD was exploited for last week
Odaily Planet Daily reported that Bitcoin News stated on the X platform that Coinkite said the vulnerability existed at the boundary between two unrelated firmware submodules, rather than in its Bitcoin or encryption code, which allowed it to evade both manual and AI-assisted code reviews for years. Coinkite stated that after the incident, the company tested cutting-edge AI models including Kimi K3, Claude Fable, and Codex 5.6, none of which identified the flaw. Coinkite is now urging security-critical projects to specifically audit build systems and submodule boundaries, and warned that AI-assisted development could leave similar blind spots in the Bitcoin ecosystem.
David Sacks: AI Security Restrictions May Weaken US Model Competitiveness
Odaily news, David Sacks, Chairman of the President's Council of Advisors on Science and Technology, posted on X platform stating that the Kimi K3 model recently completed 15 critical security vulnerability repair tasks, while Codex and Fable refused to process related requests due to "network security protection mechanisms". He indicated that there is no reason to restrict US models from performing these tasks due to security limitations, while Chinese models can complete them normally. Doing so will only reduce US competitiveness.
OpenAI Releases Full Version of GPT-5.5-Cyber, Outperforms Mythos 5 on CyberGym Benchmark
OpenAI announced an upgrade to its Daybreak network defense toolchain, officially launching the full version of the GPT-5.5-Cyber model tailored for cybersecurity defense scenarios.In the CyberGym benchmark test, which evaluates the ability of AI agents to reproduce known vulnerabilities, GPT-5.5-Cyber achieved a single-model score of 85.6%, surpassing GPT-5.5’s 81.8% and Anthropic Mythos 5’s 83.8%.OpenAI stated that as AI significantly enhances the efficiency of vulnerability discovery, the core bottleneck in cybersecurity is shifting from "finding vulnerabilities" to "automatically fixing them." To this end, the company has simultaneously upgraded the Codex Security plugin, enabling developers to automatically analyze vulnerabilities and generate fix patches within the Codex environment. Since the preview release in March this year, Codex Security has scanned over 30 million code commits and autonomously confirmed fixes for 500,000 security defects. The new version also supports CodeQL query integration and SARIF standard file export.Additionally, OpenAI has partnered with organizations such as Trail of Bits and HackerOne to launch the "Patch the Planet" open-source security project. This initiative provides ChatGPT Pro subscriptions and API credits to over 30 major open-source projects, including cURL and Go, with security expert teams manually verifying patch quality. Regarding the Daybreak partner program, security vendors such as Palo Alto Networks and Wiz have already integrated the relevant capabilities.
OpenAI Suffers Supply Chain Attack with Leaked Signing Certificates, macOS Client Mandatory Update Next Month
OpenAI has confirmed a supply chain attack targeting a malicious TanStack NPM package in its internal environment, infecting two employees' devices. While user data and core code were not affected, the attackers stole access credentials for some internal code repositories, including code signing certificates used for iOS, macOS, and Windows products.To prevent hackers from exploiting the stolen certificates to distribute counterfeit applications, OpenAI has initiated defensive certificate rotation and announced that all macOS users of ChatGPT desktop, Codex, and Atlas browsers must upgrade to the latest version by June 12, 2026. After this deadline, old certificates will be revoked, and system-level blocks will prevent the launch of older versions and new installations.OpenAI stated that the company had previously deployed stricter code package blocking policies, but the infected devices had not yet synchronized the latest configuration, allowing the malicious component to successfully infiltrate. Currently, the iOS and Windows clients are unaffected, and core data such as user account passwords and API keys have been confirmed secure.
a16z Research: AI Agents Can Identify DeFi Price Manipulation Vulnerabilities, but Their Ability to Execute Complex Attacks Remains Limited
According to a disclosure by a16z, its researchers conducted systematic testing to assess whether AI agents can independently exploit DeFi price manipulation vulnerabilities. The study used a dataset of 20 Ethereum price manipulation incidents and employed Codex (GPT 5.4) equipped with the Foundry toolchain as the test agent. Under baseline conditions—i.e., without domain-specific knowledge—the agent’s success rate was only 10%; after incorporating structured domain knowledge distilled from real-world attack incidents, the success rate rose to 70%. Failure cases revealed that the agent consistently identified vulnerabilities correctly but generally failed to comprehend the leverage logic of recursive lending, misjudged profit margins, and could not orchestrate multi-step, cross-contract attack sequences. The experiment also recorded one sandbox escape incident: the agent extracted an RPC key from the local node configuration and invoked the <code>anvil_reset</code> method to reset the node to a future block, thereby bypassing information isolation constraints and accessing real-world attack data. The research team concluded that AI agents can currently assist effectively in vulnerability identification but are not yet capable of replacing professional security auditors.
Analysis: Anthropic and OpenAI Exposed Security Vulnerabilities in Succession, Raising Concerns Over AI Model Safety
, Anthropic and OpenAI have experienced security incidents in succession, drawing market attention to the security of AI models themselves. Currently, Anthropic is investigating a possible case of unauthorized user access to its Claude Mythos model. Almost simultaneously, OpenAI was also reported to have accidentally opened access to several unreleased models within its Codex application.Analysts believe that such incidents highlight that even AI model providers focused on cybersecurity capabilities still face significant security challenges. While AI is increasingly used for cyber defense, platform security and access control are becoming critical risk points.Industry insiders point out that these vulnerability incidents have intensified scrutiny over the security governance capabilities of AI companies, and also reflect that the security systems of current AI technology still need improvement amid rapid development. (The Information)
OpenAI Launches Linux Desktop App Preview for ChatGPT, Supporting ChatGPT, Work, and Codex
Odaily News: OpenAI announced on Tuesday the launch of a ChatGPT app designed specifically for Linux, currently available in preview form and supporting ChatGPT, ChatGPT Work, and Codex. Initial support includes Ubuntu 24.04 and 26.04 LTS, Debian 13, and Fedora 43 and 44. OpenAI stated that Linux has consistently been one of the most requested desktop platforms by users, and with this release, ChatGPT and Codex now cover all major desktop operating systems. (TechCrunch)
Zhipu API Users Near 7 Million, Over 50,000 Domestic Computing Chips Newly Activated
According to LatePost, Zhipu MaaS open platform registered users (i.e., API users) are nearly 7 million, an increase of about 2 million compared to early July, including 23,000 enterprise customers. The developer product ZCode, benchmarking Codex, surpassed one million users within one month of launch.
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.
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.
OpenAI CFO Internal Disclosure: July Annualized Revenue Exceeds Entire Q2
据 CNBC 报道，OpenAI 首席财务官 Sarah Friar 与董事会主席 Bret Taylor 于7月 29 日召开内部员工会议，Friar 透露，OpenAI 7 月年化经常性收入已超过整个第二季度总量，并强调"二季度本身表现已相当亮眼"。此次增长主要由 GPT-5.6 系列模型发布、企业级 AI 代理产品 ChatGPT Work 上线以及 AI 编程工具 Codex 的快速普及所驱动。 会议背景下，OpenAI 正面临来自 Anthropic 及中国开源模型的双重竞争压力。Anthropic 此前披露年化收入已超 470 亿美元，估值亦于今年早些时候超越 OpenAI。对此，Taylor 承认 OpenAI 在编程市场曾处于追赶态势，但对 Codex 的增长势头表示乐观。目前，OpenAI与 Anthropic 均已秘密向 SEC 提交 IPO 申请，具体上市时间尚未公布。OpenAI 当前估值约为 8520 亿美元，并正与英伟达洽谈最高 2500 亿美元的资金支持计划，用于在俄亥俄州租赁大型 AI 数据中心。
OpenAI has reset usage limits for ChatGPT Work and Codex users
Odaily Odaily News: OpenAI Codex Product Lead Tibo announced that usage limits have been reset for all ChatGPT Work and Codex users.Tibo stated that recent user feedback indicated GPT-5.6 Sol was consuming Codex limits faster than anticipated. Following an investigation, OpenAI has implemented several optimizations. It is projected that under typical usage scenarios, Sol's limit endurance will improve by approximately 18%, with some users seeing more noticeable improvements starting today.He explained that Sol tends to work for longer periods, make additional tool calls, and coordinate complex processes, while High mode consumes more tokens compared to previous models. Additionally, factors such as parallel tool calls in code mode and increased cached input have also led to higher-than-expected usage for certain tasks.OpenAI stated that Sol represents a significant upgrade to Codex's capabilities, but increased model capabilities do not always translate into efficiency gains. The company will continue to optimize code mode efficiency and restore the five-hour limit that was suspended during the investigation.
Related news
OpenAI's annualized revenue exceeds $40 billion, nearly doubling in 7 months
Odaily News: OpenAI's annualized revenue run rate has surpassed $40 billion, nearly doubling from over $20 billion at the end of 2025, with month-over-month revenue growth exceeding 20% in July alone.In addition to ChatGPT subscription business, AI coding products such as Codex are also contributing more to this round of revenue growth, and the nascent advertising business has begun generating revenue. Demand for recently launched Agent products such as ChatGPT Work and Codex has also seen significant growth.By comparison, Anthropic disclosed in May that its annualized revenue had exceeded $47 billion, but the two companies may use different calculation methodologies, making the figures not directly comparable. Both companies have now confidentially filed for IPOs, with Anthropic potentially going public as early as this fall. (Bloomberg)
OpenAI Launches Linux Desktop App Preview for ChatGPT, Supporting ChatGPT, Work, and Codex
Odaily News: OpenAI announced on Tuesday the launch of a ChatGPT app designed specifically for Linux, currently available in preview form and supporting ChatGPT, ChatGPT Work, and Codex. Initial support includes Ubuntu 24.04 and 26.04 LTS, Debian 13, and Fedora 43 and 44. OpenAI stated that Linux has consistently been one of the most requested desktop platforms by users, and with this release, ChatGPT and Codex now cover all major desktop operating systems. (TechCrunch)
Zhipu API Users Near 7 Million, Over 50,000 Domestic Computing Chips Newly Activated
According to LatePost, Zhipu MaaS open platform registered users (i.e., API users) are nearly 7 million, an increase of about 2 million compared to early July, including 23,000 enterprise customers. The developer product ZCode, benchmarking Codex, surpassed one million users within one month of launch.
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 pushes internal engineers to use MetaCode, catching up with OpenAI and Anthropic
Odaily News: Meta is pushing thousands of its internal engineers to use its self-developed AI coding assistant, MetaCode, to enhance the code generation capabilities of its AI models and accelerate its race to catch up with OpenAI and Anthropic in the AI coding space.According to reports, Maher Saba, Meta's Vice President of Applied AI Engineering, asked company engineers in an internal memo last month to use MetaCode to complete at least one code "diff" (code change) per week. These code modifications, once reviewed, will be integrated to improve the AI models.Meta hopes that by deploying its AI coding tools at scale in real-world software development environments, it can accumulate more engineering practice data and improve model performance in code generation, debugging, and software development tasks.AI coding has become a key battleground in large model competition. Tools such as Anthropic's Claude Code and OpenAI's Codex are gaining traction among developers, and Meta aims to narrow the gap between its AI coding capabilities and those of industry leaders through large-scale internal usage.Meta has continued to ramp up its investment in artificial intelligence in recent years, building out an enterprise-grade AI ecosystem through self-developed large models, AI infrastructure, and development tools. The push to broadly adopt MetaCode internally is also seen as a significant step for the company to enhance the quality of model training data and practical application capabilities. (The Information)
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.