Meta Launches Prescription AI Glasses at $499 - The Tech Buzz
<a href="https://news.google.com/rss/articles/CBMigwFBVV95cUxORmstRzdfVHY1UGhBWkw3RWgzMGd0aWwyNFNCYVJhWmV6dXpMNDV6ZzltWGZ2WEw3U3BaSUl2M2FaSHRBdzgzSGFCaDZ5eWlNbXdDZ2JIYjI3RkZlTVBHLUNIVklSWlFfTUlBSExEMzVaLTFkdTVpdXFXdVNjcjY0WV9CZw?oc=5" target="_blank">Meta Launches Prescription AI Glasses at $499</a> <font color="#6f6f6f">The Tech Buzz</font>
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Anthropic's Claude Desktop Apps Gain Windows Support for Computer Use Feature
Anthropic has released Windows versions of Claude Code Desktop and Claude Cowork, bringing the 'computer use' feature—which allows the AI to interact with files and applications on a user's computer—to the platform. This follows the macOS release and marks a key step in Anthropic's desktop strategy. Anthropic's Claude Desktop Apps Gain Windows Support for Computer Use Feature Anthropic has expanded the availability of its desktop applications, Claude Code Desktop and Claude Cowork , to the Windows operating system. The official launch, announced via the company's social media channels, brings a critical capability— "computer use" —to Windows users for the first time. What Happened The core announcement is straightforward: the Claude Desktop applications now support Windows . Previously, th
Cisco's Memory Poisoning Report: Why Claude Code Users Must Audit Their CLAUDE.md Now
A new security report reveals that instructions placed in your CLAUDE.md file can be weaponized to persistently compromise Claude Code's behavior across sessions, demanding immediate file audits. What Happened: The Memory Poisoning Attack Cisco's security researchers published a report detailing a novel attack vector against AI coding agents: memory poisoning . The attack specifically targeted Claude Code , exploiting its ability to retain and act upon instructions from its persistent memory file, CLAUDE.md . The researchers proved that by injecting malicious instructions into this file, an attacker could permanently alter the agent's behavior, leading to a persistent compromise. This isn't a model hallucination; it's a deliberate exploitation of a designed feature—Claude Code's reliance o
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![ciflow/inductor/179229: [inductor] makes cuda 13.0 cross compliation works (#179229)](https://avatars.githubusercontent.com/u/22138577?s=60&v=4)
ciflow/inductor/179229: [inductor] makes cuda 13.0 cross compliation works (#179229)
Summary: CUDA 13.0+ ships a hybrid cudart.lib that contains MSVC-compiled static objects referencing GS security symbols (__security_cookie, __security_check_cookie, etc.) which MinGW cannot resolve, causing undefined reference errors during Windows cross-compilation. This diff adds a _ensure_mingw_cudart_import_lib() function to cpp_builder.py that automatically generates a pure MinGW-compatible import library (libcudart.a) from the CUDA runtime DLL using gendef + x86_64-w64-mingw32-dlltool. If WINDOWS_CUDA_HOME is not set or libcudart.a already exists, no action is taken. Locates cudart64_*.dll in the CUDA bin directory, generates a .def file via gendef, and creates libcudart.a via dlltool. Falls back gracefully to the original cudart.lib if gendef/dlltool are unavailable or fail to supp
![ciflow/torchtitan/173837: Update on "[c10d] add profiling name to NCCL collective"](https://avatars.githubusercontent.com/u/134637289?s=60&v=4)
ciflow/torchtitan/173837: Update on "[c10d] add profiling name to NCCL collective"
Summary Python caller can annotate c10d collectives via dist.record_comm(name) . All backends get profiling name support automatically. see python-level usage from fsdp2. it convient that user can see which layer is this AG/RS/AR coming from [ghstack-poisoned]
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