Samsung Deploys ChatGPT and Codex for Employees
Samsung Electronics has rolled out OpenAI's ChatGPT Enterprise and Codex to its global workforce. This deployment represents one of OpenAI's largest enterprise AI initiatives to date.
Samsung Electronics has rolled out OpenAI's ChatGPT Enterprise and Codex to its global workforce. This deployment represents one of OpenAI's largest enterprise AI initiatives to date.
An AI Control Roadmap has been introduced to secure internal systems by integrating traditional safeguards with real-time monitoring capabilities.
GPT-5.5 Instant improves ChatGPT's health and wellness responses through stronger reasoning, better context handling, clearer communication, and physician-informed evaluations.
The UK government has partnered with Google DeepMind to develop an AI-powered prototype designed to accelerate housing planning decisions. The initiative aims to streamline the house-building process by leveraging artificial intelligence to improve decision-making efficiency.
OpenAI has introduced new spend controls and usage analytics for ChatGPT Enterprise. These features help enterprises manage costs and make informed decisions as they scale AI usage.
The ggml project has optimized AMX performance by flattening the partition over n_batch * M, ensuring all threads participate in quantization. This change improves speed by up to 1.47x across various models and hardware configurations on CPU and GPU platforms, with results showing consistent gains in inference time.
v2.1.183 improves auto mode safety by blocking destructive git and destroy commands without explicit user consent. It adds deprecation warnings for models, introduces attribution.sessionUrl to hide session links, and fixes multiple issues including terminal behavior, subagent performance, and input handling in web and tmux environments.
The autogpt-platform-beta-v0.6.64 release, dated 18th June 2026, introduces new features such as the AutoPilot Context Panel and Global Search, along with enhancements to graph saving, caching, and builder performance. It also includes security hardening, bug fixes for LLM provider issues, and UI improvements like a high-resolution touch icon.
Claude Code v2.1.181 introduces support for setting config settings via prompt syntax like /config thinking=false, adds sandbox Apple Events support on macOS, and improves streaming, auto-retry, and subagent behavior. It also fixes numerous bugs related to startup, file handling, clipboard, and UI responsiveness across platforms.
Claude v2.1.178 introduces new permission rules using Tool(param:value) syntax, improved workflow and skill loading in nested directories, and enhanced auto mode and error messaging. It fixes critical issues including crashes, authentication errors, and UI behavior in Chrome and VSCode, while refining tool prompts and undo functionality.
A study published in Nature reveals that AMIE, a conversational AI system, performs as well as primary care physicians in managing complex health conditions.
llama.cpp version b9741 introduces new binaries for macOS, Linux, Android, Windows, and openEuler across multiple architectures. The release includes support for Vulkan, CUDA 12.4 and 13.3, OpenVINO, SYCL, and ROCm, with updated versions for iOS and Ubuntu.
A patch addresses random failures in the test-args-parser on Windows by modifying argv override to only apply when argc matches, preventing clobbering of programmatic arguments. This fixes a fastfail assertion in the OpenVINO Windows workflow while preserving UTF-8 handling for real binaries.
LLaMA.cpp version b9739 adds support for Windows ARM64 using OpenCL Adreno. The release includes binaries for macOS, Linux, Android, Windows, and openEuler across multiple architectures and APIs, including Vulkan, CUDA, OpenVINO, and SYCL.
llama.cpp version b9738 fixes the CORS proxy to avoid forwarding authentication headers. The release includes binary builds for macOS, Linux, Android, Windows, and openEuler across multiple architectures and hardware acceleration options, including Vulkan, CUDA, OpenVINO, and SYCL.
The GLM-5.2 model's DSA indexer was incorrectly loaded on all layers, causing failures due to missing tensors. The update marks indexer tensors as TENSOR_NOT_REQUIRED, allowing layers without an indexer to load as nullptr and enabling full MLA attention. DeepSeek-V3.2, with uniform indexing, is unaffected.
The ggml-webgpu project has added adapter toggles for half-precision (F16) support on Vulkan and NVIDIA GPUs. This update enables improved performance on compatible hardware across multiple platforms, including macOS, Linux, Android, Windows, and openEuler, with specific builds available for ARM and x64 architectures.
llama.cpp version b9731 introduces optimization using std::partial_sort to reduce token sorting overhead, improving performance from 8.555ms to 0.704ms for top-n token selection. The release includes prebuilt binaries for macOS, Linux, Android, Windows, and openEuler across multiple architectures and hardware acceleration options.
LLaMA.cpp releases version b9729 with binaries for macOS, Linux, Android, Windows, and openEuler across multiple architectures. The release includes CPU, Vulkan, OpenVINO, SYCL, and ROCm support, along with a new UI package. Internal references to 'webui' have been removed.
LLaMA.cpp version b9728 introduces support for comment lines in --api-key-file configuration. The release includes pre-built binaries for macOS, Linux, Android, Windows, and openEuler across multiple architectures and hardware acceleration options, including Vulkan, CUDA, OpenVINO, and SYCL.