U.S. DOE, Amazon Launch AI-Driven Critical Materials Hub to Secure Domestic Supply Chains - ESG News
U.S. DOE, Amazon Launch AI-Driven Critical Materials Hub to Secure Domestic Supply Chains ESG News
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Smallest.ai launches Lightning V3, a new text-to-speech model that beats OpenAI, Cartesia, and ElevenLabs on key voice quality benchmarks - TheWire.in
Smallest.ai launches Lightning V3, a new text-to-speech model that beats OpenAI, Cartesia, and ElevenLabs on key voice quality benchmarks TheWire.in
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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model : add HunyuanOCR support ( #21395 ) HunyuanOCR: add support for text and vision models Add HunyuanOCR vision projector (perceiver-based) with Conv2d merge Add separate HUNYUAN_OCR chat template (content-before-role format) Handle HunyuanOCR's invalid pad_token_id=-1 in converter Fix EOS/EOT token IDs from generation_config.json Support xdrope RoPE scaling type Add tensor mappings for perceiver projector (mm.before_rms, mm.after_rms, etc.) Register HunYuanVLForConditionalGeneration for both text and mmproj conversion fix proper mapping Update gguf-py/gguf/tensor_mapping.py Co-authored-by: Xuan-Son Nguyen [email protected] Update tools/mtmd/clip.cpp Co-authored-by: Xuan-Son Nguyen [email protected] address comments update Fix typecheck Update convert_hf_to_gguf.py Co-authored-by: S
![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
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