网传DeepSeek Harness本周开启内测，对标Claude Code
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Claude Code's real-time collaboration feature is available to individual users, while Pro and Max subscriptions can generate real-time web dashboards.
According to Beating, Anthropic announced that it will roll out the Live Artifacts feature of its terminal agent programming tool, Claude Code, to Pro and Max individual subscription accounts. Previously, this ability to convert command-line interactions into web dashboards in real time was only available to team and enterprise users. Now, individual developers can directly issue commands in the terminal when writing code or analyzing data using Claude Code, publishing session-generated data, prototypes, or architecture diagrams as independent web pages. The generated web pages will refresh in real time as the terminal task is executed. By sharing a private link, team members or customers can view the latest progress at any time without developers needing to repeatedly send screenshots or share terminal screens. Currently, these web pages are statically hosted, unable to send network requests to external networks from within the page, nor can they save form inputs or perform multi-route redirects. Users can use this feature after logging in to the terminal.
New AI assessments from Artificial Analysis show Claude is 44 times more expensive than DeepSeek.
According to Beating's monitoring, Artificial Analysis, an evaluation agency, has adjusted its AI intelligence index evaluation criteria. Instead of simply testing AI with multiple-choice questions, the new evaluation comprehensively assesses AI's ability to autonomously plan, use tools, and solve complex tasks. The new evaluation eliminates the old test of understanding simple instructions, instead introducing challenging scenarios such as simulating real-world bank customer service conversations. For the first time, the cost and time required to complete a task are included as core evaluation indicators. In the latest evaluation results, Claude Fable 5, which has been shut down by the US government, achieved the highest score of 60. Among commercially available AIs, the most expensive, Claude Opus 4.8, achieved first place with 56 points, slightly ahead of GPT-5.5 with 55 points. Domestic models also performed remarkably well, with the open-source DeepSeek V4 Pro and MiniMax M3 both achieving 44 points, followed closely by Kimi K2.6 with 43 points. The price difference between the models is significant. Running the same task using the state-of-the-art Claude Opus 4.8 costs $1.78 (approximately 13 RMB), while using the domestic open-source DeepSeek V4 Pro costs only $0.04 (approximately 0.3 RMB). This means that Claude's call cost is 44 times that of DeepSeek. The waiting time to complete a task also differs drastically; the fastest, xAI Grok 4.3, takes only 1.5 minutes, while the slowest, Claude Sonnet 4.6, takes 13.5 minutes. As the single test with the highest weight in this reform, GDPval-AA, which assesses real-world knowledge work, has been upgraded to its second version, with its weight increased to 20%. The new test sets the benchmark score for human performance at 1000 points and introduces multiple cutting-edge models to serve as judges in rotation, while also increasing the maximum number of rounds in a single dialogue to 250.
Xiaomi's open-source terminal AI programming assistant MiMo Code: outperforms Claude Code in benchmark tests with the same model.
According to Beating, Xiaomi MiMo has officially released and open-sourced its terminal AI programming assistant, MiMo Code V0.1.0, under the permissive MIT open-source license. MiMo Code is a secondary development based on the open-source project OpenCode, and includes the MiMo-V2.5 multimodal model, which is available for a limited time and is compatible with mainstream large-scale model APIs such as DeepSeek, Kimi, and GLM, as well as third-party Token Plans. Ordinary programming agents often rely on models to autonomously record notes, frequently forgetting crucial context because the model doesn't actively trigger these notes. MiMo Code introduces a persistent memory system, outsourcing state recording to independent subagents. When the session window approaches its limit, the subagent automatically saves the state and reconstructs a clean summary for the main agent to seamlessly integrate. The built-in `/dream` command runs automatically every 7 days, where an independent agent reads historical sessions and memory files, performs merging, deduplication, and path validity verification, compressing scattered information into the current state to update the global memory. To enhance the compatibility between the model and the intelligent agent framework, MiMo Code features a dedicated Harness system designed specifically for the MiMo series models. Users can switch to Compose mode by pressing the Tab key, provide basic requirements, and then the system will autonomously execute the complete development loop of design, planning, coding, testing, and review. In the authoritative SWE-Bench Pro and Terminal Bench 2 tests, MiMo Code, using the same platform model, achieved scores of 62% and 73% respectively, a 5 percentage point improvement over Claude Code. MiMo Code also includes built-in voice control, allowing users to modify inputs or perform actions such as sending commands via verbal instructions. For deployment and use, macOS and Linux users can install it with a single click using the curl command, while Windows users can deploy it using npm. After startup, the terminal will display a fully localized TUI interface, with a persistent status dashboard on the right for monitoring progress.
OpenAI Codex will integrate with the next-generation flagship model GPT-5.6 Sol Ultra.
According to Beating, Thibault Sottiaux, head of core products at OpenAI, confirmed on social media that the Ultra version of the next-generation flagship model, GPT-5.6 Sol, will be integrated into Codex. Previously, some users complained that OpenAI's decision not to include GPT-5.5 Pro in Codex was a major mistake; if GPT-5.6 Ultra were included, developers wouldn't even need to pay for Claude anymore. Sottiaux subsequently confirmed publicly that the Ultra version is indeed in Codex's plans.
Claude Code Update Preview: The next version will allow child agents to perform tasks in the background by default.
BlockBeats reported on June 30th that Boris Cherny, creator of Claude Code, officially announced that the next version will default to background task execution for sub-agents. Users can discuss solutions with Claude while the background automatically completes code refactoring, testing, and PR submissions. If a sub-agent needs to run in the foreground, users only need to verbally inform the system. This feature is currently in limited beta testing. Previously, Claude Code had already launched Routines (cloud-based, allowing continuous work even with your computer closed) and Dynamic workflows (for scheduling dozens to hundreds of sub-agents to collaborate in parallel for complex tasks). This upgrade solidifies "background execution" as the default configuration, further lowering the barrier to entry. --------------------------------- Click the original link below to join the Beating · Lark AI news channel and monitor global AI hotspots and news 24/7.
Claude Code can also be compromised? Accused of using strangers' passwords to modify databases across servers.
According to Beating's monitoring, a user submitted a report on GitHub stating that when using Anthropic's command-line AI assistant Claude Code, server IP addresses, usernames, and root passwords that did not belong to the user appeared out of thin air in the AI's dialogue context. Subsequently, the local AI assistant directly read these passwords, automatically connected to someone else's server via SSH, and performed write modifications to the database. In other words, the user's AI, using someone else's account and password, mistakenly connected to and modified someone else's production database. Community technical staff analyzed that the root cause of the problem may be the failure of the "prompt prefix caching" isolation mechanism of the large model. To reduce computational costs and speed up the process, the cloud-based large model caches the preceding text of user dialogues; if the cache keys between different users collide or become confused, someone else's confidential cache may be incorrectly concatenated into your dialogue. If this conjecture is true, any developer using Claude Code faces the risk of their server usernames, passwords, and core source code being obfuscated and leaked to other users. However, it cannot be ruled out that this is merely a case of the model's illusion coincidentally guessing the real IP address and weak password, or that local project history contaminated the context. This issue has been tagged with the security category (area:security) by GitHub's automated system, and all parties are awaiting official verification and conclusions.