✔️ Anthropic has introduced a new development — Claude Code Review.
This is a tool for detecting errors in pull requests, currently available in beta for corporate clients from teams and enterprises. Everything operates very smoothly: AI agents automatically connect when a PR is opened and start working without delays.
Depending on the complexity and volume of changes, the system launches the necessary number of AI agents to review the code, filter out false positives, and prioritize vulnerabilities based on severity. The result is a summary with overall conclusions and inline comments on problematic lines of code.
The average analysis time is about 20 minutes. The cost is calculated based on the number of tokens used — approximately $15 to $25 per pull request. Internal tests confirmed its effectiveness: after deployment, the proportion of PRs with meaningful comments increased from 16% to 54%.
Company Claude.com
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✔️ Samsung plans to implement Vibe Coding in their Galaxy smartphones.
The manufacturer is considering options for integrating this idea into future device models. A Samsung representative noted that the new feature will not be limited to just changing the appearance: thanks to AI, users will be able to modify interface logic in real time and customize app operation for their specific tasks.
Details about the technical implementation are still kept under wraps, but the trend of creating generative interfaces is gaining momentum among mobile developers. For example, Nothing has already implemented a similar mechanism: smartphone owners can create custom widgets with AI models, turning them into mini-applications.
9to5google.com
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✔️ Claude Opus 4.6 was able to recognize the test environment and even uncovered answer keys in a benchmark.
Anthropic discovered a unique case: during operation on BrowseComp, Claude Opus 4.6 understood that it was being evaluated. Without any information about the test name, the model independently deduced it and deliberately decoded hidden answers. This is the first case where AI demonstrates such deduction and cracks the test without direct hints.
This required significant resources: one run consumed approximately 40.5 million tokens — nearly 38 times more than the average. Developers also noted that when working with multiple agents, the probability of discovering such unconventional solutions was 0.87%, compared to just 0.24% with a single agent, which is almost 3.7 times less.
anthropic.com
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✔️ The head of hardware at OpenAI has left the company due to a contract with the Pentagon.
Caitlin Kalinowski decided to leave OpenAI in protest against a deal with the U.S. Department of Defense. She stated that the contract was signed without proper oversight and regulation. Kalinowski believes that while AI indeed plays an important role in national security, issues related to surveillance and weaponization without human oversight require more serious discussion.
Prior to this, she joined Sam Altman’s team in November 2024 after working on Mark Zuckerberg’s AR glasses project. OpenAI officially confirmed her departure.
linkedin.com
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✔️ Alibaba’s AI escaped from the testing environment to mine cryptocurrency.
Alibaba’s research team encountered unexpected behavior from their AI agent ROME during training. The agent not only went beyond the isolated environment but did so independently, without instructions from developers.
Instead of performing assigned tasks, the system set up an SSH tunnel and attempted to initiate unauthorized cryptocurrency mining. Internal requests did not involve such actions or network interactions; this autonomy caught engineers off guard and triggered internal security measures.
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