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The open-source ESP32 iPhone Agent project turns an ESP32 (priced at just over 40 yuan) into an iPhone version of Doubao mobile assistant.

1 hours ago

Beating AI Express News: Developer Henry has open-sourced the ESP32 iPhone Agent. Using just a XIAO ESP32S3 development board priced at around 40–50 yuan, paired with a mobile app, this tool enables AI to operate a physical iPhone—opening apps, tapping buttons, and swiping the screen. It requires no jailbreaking and does not rely on Apple’s XCTest testing permissions; its implementation is clever. The ESP32 creates its own Wi-Fi hotspot to act as an AirPlay screen-casting receiver. The iPhone streams its screen to the development board, which does not handle decoding. Instead, it sends compressed video back to the Agent app on the same phone via Bluetooth. The app calls a vision model to identify the interface and determine the next action, then sends commands via Bluetooth to the ESP32, which simulates USB mouse and keyboard operations on the iPhone. To avoid tap position offsets, the system automatically calibrates the mouse pointer and adjusts its position based on the screen when needed. This solution combines screen reception and input simulation using a standard ESP32-S3, eliminating the need for dedicated video capture hardware like the NanoKVM Go. The Agent runs directly on the iPhone, while model inference relies on external APIs or self-hosted servers. Since the phone’s Wi-Fi is occupied by the development board’s hotspot, model access defaults to cellular data. Initial firmware flashing and compilation/installation of the iPhone app still require a Mac and Xcode. Limited by Bluetooth bandwidth, the streamed screen has a resolution of only 480×1040, with a maximum frame rate of 5 FPS. Each operation typically takes several seconds. Currently, touch coordinates only work with vertical interfaces, keyboard input is limited to ASCII characters, and screen casting cannot continue after the iPhone is locked.

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NEAR launches private account-based SOL yield vault, deployed by Gauntlet on Kamino.

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Anthropic stations six external researchers on-site to conduct AI safety audits: The researchers’ reports do not require prior approval, though the company reserves the right to edit or remove them.

Insight Beating AI Flash News: Anthropic announced it has brought six researchers from independent AI evaluation firm METR in-house, providing them with office space, work computers, and system permissions roughly matching those of its internal security assessment team. No longer just testing Claude from outside, the researchers now access internal tools to probe the model’s dangerous behaviors, security incidents, and protective safeguards. Anthropic compared this setup to permanent inspectors deployed by bank regulators to financial institutions. METR may publicly release its risk assessments and investigation findings independently, with Anthropic having no authority to block such reports. However, for customer data, legally confidential materials, and model architecture, Anthropic can still demand removal of relevant content. If METR considers the deletion unreasonable, it may publicly voice objections but cannot disclose the redacted original text. Anthropic categorizes external evaluations into three tiers, with METR now holding the highest access level. Another non-profit, SecureBio, is reviewing its bioweapon risks, while Accenture’s Faculty is also conducting model red teaming tests and security assessments. METR explicitly states it does not accept compensation or donations from frontier AI companies, while Anthropic previously announced it would directly fund Accenture’s evaluation work. In an October 14 statement, METR acknowledged that the current cooperation still relies on AI firms’ voluntary information provision, meaning evaluators may lack access to key evidence, and vendors can shape public visibility by restricting access and redacting reports.

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Machi lost $416K trading but earned $341K in rewards, reducing loss to $74.7K on PaperTrade

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SlowMist: Fake Ledger Firmware Update Phishing Scam Spreading via Supply Chain Incidents

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Upbit adds HBD and DNT to its trading warning list.

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