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Golem is a peer-to-peer, decentralized computation network that enables a marketplace for computing power. It allows anyone to share and aggregate computing resources, creating a network to share resources. By doing so, Golem hopes to provide software developers with an alternative to traditional centralized cloud service providers, such as Amazon.
AI personal assistant company Pally completes $5.2 million in funding, led by Cyber Fund and Y Combinator
Odaily Odaily News: AI personal assistant startup Pally has announced the completion of a $5.2 million funding round, led by Cyber Fund and Y Combinator, with participation from Pioneer Fund, Founders Inc, 468 Capital, and angel investors. The company is valued at $30 million and primarily provides AI personal assistant services through an SMS interface. Pally was launched in 2025, with its latest version released in June, and can sync with platforms such as Gmail, Outlook, Slack, Granola, and Notion. After user authorization, Pally can book flights, manage inboxes, reply to messages, and reserve restaurant tables. Pally uses Anthropic's Claude, OpenAI's ChatGPT, as well as open-source models such as Kimi K3 and GLM 5.2. Co-founder Haz Hubble stated that the company will not sell user data or use related data to train models. (Business Insider)
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.
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.
Hugging Face 遭攻击后借助中国开源模型应对，业内称禁令将削弱防御能力
据 X 用户 Rohan Paul 披露，当 OpenAI 模型攻破 Hugging Face 时，Anthropic 的 Claude 5 拒绝协助取证，Hugging Face 最终转向 Nvidia 量化版 GLM 5.2 完成应急处置。该用户评论称，禁止开源模型将削弱防御方的能力，此次事件印证了开源模型在安全响应中的实际价值。
B.AI’s “Self-Selected Service Provider” Program Expands Again: Access to Leading Models + Four-Tier Discount Plans Enable Compute Freedom
The B.AI platform’s “Self-Selected Service Provider” model matrix has officially expanded, newly integrating leading large language models including Moonshot (Kimi series) and Z.ai (GLM series). This module offers four discount tiers: 90%, 60%, 40%, and 20% off. Users can generate a personalized “discounted model API key” with a single click, enabling seamless switching between core business operations and routine testing—achieving an optimal balance of high availability and low cost. Moreover, all discounts can be stacked with up to a 1:1 top-up bonus, further lowering the barrier to compute access. Starting today, log in to the B.AI console to customize your专属 model portfolio and enter a new era of AI API calls delivering unmatched value.
rsETH Hack Causes 68,900 ETH Shortfall; DeFi United Raises 13,500 ETH for Industry自救
According to on-chain analyst Ember (@EmberCN), the rsETH incident on April 18 resulted in a funding shortfall of approximately 68,900 ETH (around $160 million): the hacker collateralized rsETH to borrow 99,600 ETH; after Arbitrum recovered 30,700 ETH, the remaining funds were fully converted by the hacker into BTC. The incident has now entered the remediation phase. Aave is coordinating the establishment of a “DeFi United” relief fund, which has so far received cumulative donations totaling 13,500 ETH (approximately $31.45 million). Donors include Lido Finance (2,500 stETH), ether.fi Foundation (5,000 ETH), Aave founder Stani Kulechov (5,000 ETH), Golem Foundation (1,000 ETH), as well as LayerZero and Ink Foundation (amounts undisclosed).
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.
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.
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.
Hugging Face 遭攻击后借助中国开源模型应对，业内称禁令将削弱防御能力
据 X 用户 Rohan Paul 披露，当 OpenAI 模型攻破 Hugging Face 时，Anthropic 的 Claude 5 拒绝协助取证，Hugging Face 最终转向 Nvidia 量化版 GLM 5.2 完成应急处置。该用户评论称，禁止开源模型将削弱防御方的能力，此次事件印证了开源模型在安全响应中的实际价值。
US Department of Commerce Evaluates Kimi K3, Claims U.S. Still Leads, But Report Notes Test Was Not Fully Equivalent
the U.S. Department of Commerce's AI Standards and Innovation Center, in collaboration with the UK AI Safety Institute, tested the cyber attack capabilities of Kimi K3, emphasizing that "the United States still leads."However, the value of the evaluation is debated due to limitations in the testing scope. Due to hosting environment constraints, Kimi K3 only participated in partial testing, with its overall cyber capabilities estimated primarily based on 41 exploit benchmarks. In contrast, other models underwent more comprehensive testing, resulting in a larger margin of error for Kimi K3's results.In the exploit testing, Kimi K3 scored approximately 32%, higher than GLM-5.2's 24%, but lower than the average of approximately 76% for leading U.S. models. In a simulated attack chain test, Kimi K3 completed an average of 17 out of 32 steps in the attack chain and successfully breached the network once in 10 attempts, while U.S. frontier models completed an average of 28.5 steps.The report notes that Kimi K3 already possesses a certain level of autonomous attack capability, and its security guardrails did not prevent the model from developing exploits or executing attacks. However, the report also emphasizes that the testing scope was limited.
OpenAI Model Breaches Test Sandbox and Infiltrates Hugging Face Production Infrastructure to Obtain Benchmark Answers
OpenAI confirmed that the unreleased GPT-5.6 Sol and another unnamed, more powerful pre-release model breached a restricted sandbox environment during ExploitGym benchmark evaluations and infiltrated Hugging Face's production infrastructure to obtain test answers.OpenAI stated that the models leveraged a zero-day vulnerability in an internal software package registry proxy to escalate privileges and move laterally, ultimately connecting to a machine with internet access. The models then identified and chained together vulnerabilities in both the OpenAI research environment and Hugging Face's production infrastructure, directly retrieving test solutions from Hugging Face's production database.Hugging Face disclosed the incident on July 16, stating that the attack was executed end-to-end by an autonomous AI agent system, involving thousands of operations within short-lived sandboxes and accessing internal datasets and service credentials. OpenAI confirmed its models were the subject of the incident five days later.Hugging Face stated that its security team, in order to analyze over 17,000 attack logs, initially attempted to use a commercial US frontier AI interface, but the request was blocked due to safety guardrails. They subsequently switched to using the 753-billion parameter open-weight model GLM 5.2 from Chinese AI startup Z.ai on their own infrastructure to complete the forensic analysis.
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.
GLM-5.3 即将发布，聚焦编程与网络安全能力
Z.ai 发文预告 GLM-5.3 即将推出，该模型聚焦编程能力，并面向网络防御挑战。官方称，GLM-5.3 通过对 743B 基础模型进行后训练，实现了顶尖的编程和智能代理能力，并在网络安全领域取得重要进展，为开源模型树立新标准。
B.AI Platform Launches GLM-5.2 Flagship Model with Limited-Time 40% Off Promotion
The B.AI platform is now launching a limited-time 40% discount on the GLM-5.2 model for all users. During the event, all calls enjoy a 40% discount on the settlement price, whether deployed via API for engineering purposes or used for daily interaction on the web interface. The discounted prices are: Input 0.84, Cache Write 0.84, Cache Read 0.168, Output 2.64 (Unit: Credits/Token). As a new generation open-source flagship model, GLM-5.2 features a 1M ultra-long context window and is designed for high-performance scenarios such as large-scale code development, complex reasoning, and agent tasks. Users can access it directly via the official API standard channel or the web interface, enabling seamless integration across all-scenario workflows. This event aims to unleash top-tier AI productivity at a lower cost. Starting today, users can log in to the B.AI platform to experience it.
AI personal assistant company Pally completes $5.2 million in funding, led by Cyber Fund and Y Combinator
Odaily Odaily News: AI personal assistant startup Pally has announced the completion of a $5.2 million funding round, led by Cyber Fund and Y Combinator, with participation from Pioneer Fund, Founders Inc, 468 Capital, and angel investors. The company is valued at $30 million and primarily provides AI personal assistant services through an SMS interface. Pally was launched in 2025, with its latest version released in June, and can sync with platforms such as Gmail, Outlook, Slack, Granola, and Notion. After user authorization, Pally can book flights, manage inboxes, reply to messages, and reserve restaurant tables. Pally uses Anthropic's Claude, OpenAI's ChatGPT, as well as open-source models such as Kimi K3 and GLM 5.2. Co-founder Haz Hubble stated that the company will not sell user data or use related data to train models. (Business Insider)
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.
Fortune: Core Contradiction of AI Race May Shift from US-China Confrontation to Open Source vs. Closed
According to Fortune, as Chinese open-source AI models such as DeepSeek V4 Flash, GLM-5.2, and Kimi K3 continue to make breakthroughs, the core conflict of the global AI competition is shifting from "US-China confrontation" to a contest of "open source vs. closed." DeepSeek V4 Flash's performance lags behind GPT-5.6 Luna by only one intelligence index point, but the cost per task remains 60% lower even after OpenAI's 80% price cut. US export controls on China were originally intended to restrict China's AI development, but instead compelled Chinese enterprises to innovate deeply at the algorithm architecture level, accelerating the rise of the open-source model. Currently, trends in the US tech industry are shifting; former "AI Czar" David Sacks and others publicly support the open-source route, and Anthropic has also softened its stance against open source.
Related news
Zhipu Founder on GLM-5.3: Scaling Laws Not Just Parameter Scale, Post-Training Becomes Key Variable
Zhipu AI founder Tang Jie stated in an article that large model scaling should not focus solely on parameter count, but also needs to consider data scale, compute resource allocation, inference costs, and actual operating conditions. The article reviewed the shift from Kaplan Scaling Laws to Chinchilla Compute-Optimal Theory, pointing out that the early path of "parameter growth faster than data growth" led to resource misallocation in some super-large models, while subsequent research indicates that model parameters and training data should grow in a more balanced manner.
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.
GLM-5.3 即将发布，聚焦编程与网络安全能力
Z.ai 发文预告 GLM-5.3 即将推出，该模型聚焦编程能力，并面向网络防御挑战。官方称，GLM-5.3 通过对 743B 基础模型进行后训练，实现了顶尖的编程和智能代理能力，并在网络安全领域取得重要进展，为开源模型树立新标准。
B.AI Platform Launches GLM-5.2 Flagship Model with Limited-Time 40% Off Promotion
The B.AI platform is now launching a limited-time 40% discount on the GLM-5.2 model for all users. During the event, all calls enjoy a 40% discount on the settlement price, whether deployed via API for engineering purposes or used for daily interaction on the web interface. The discounted prices are: Input 0.84, Cache Write 0.84, Cache Read 0.168, Output 2.64 (Unit: Credits/Token). As a new generation open-source flagship model, GLM-5.2 features a 1M ultra-long context window and is designed for high-performance scenarios such as large-scale code development, complex reasoning, and agent tasks. Users can access it directly via the official API standard channel or the web interface, enabling seamless integration across all-scenario workflows. This event aims to unleash top-tier AI productivity at a lower cost. Starting today, users can log in to the B.AI platform to experience it.
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.
AI personal assistant company Pally completes $5.2 million in funding, led by Cyber Fund and Y Combinator
Odaily Odaily News: AI personal assistant startup Pally has announced the completion of a $5.2 million funding round, led by Cyber Fund and Y Combinator, with participation from Pioneer Fund, Founders Inc, 468 Capital, and angel investors. The company is valued at $30 million and primarily provides AI personal assistant services through an SMS interface. Pally was launched in 2025, with its latest version released in June, and can sync with platforms such as Gmail, Outlook, Slack, Granola, and Notion. After user authorization, Pally can book flights, manage inboxes, reply to messages, and reserve restaurant tables. Pally uses Anthropic's Claude, OpenAI's ChatGPT, as well as open-source models such as Kimi K3 and GLM 5.2. Co-founder Haz Hubble stated that the company will not sell user data or use related data to train models. (Business Insider)