Perplexity introduced Computer for Enterprise on March 12, 2026 as a managed execution layer for enterprise agent workflows. The company says it inherits SOC 2 Type II, SAML SSO, audit logs, and admin controls, while keeping browser activity and code execution inside isolated sandbox environments.
Cloudflare said on X on March 19 that Kimi K2.5 is now available on Workers AI. The launch pairs a frontier open-source model with platform features aimed at lowering latency and cost for agent workloads.
OpenAI said on X on March 23 that ChatGPT is getting a new Library for uploaded and created files. The rollout adds reusable file storage, recent-file insertion, and broader document continuity across chats.
A Hacker News thread around Skylar Payne's DSPy post argues that teams often rebuild DSPy-style LLM engineering patterns as systems mature, even though unfamiliar abstractions, Python fit, and eval design still slow direct adoption.
OpenAI introduced the Codex app on February 2, 2026. The macOS desktop interface is built to supervise multiple agents in parallel, manage skills and automations, and was expanded to Windows on March 4, 2026.
Cloudflare said on March 20, 2026 that Kimi K2.5 is now available on Workers AI so developers can run agents end-to-end on its platform. The linked Cloudflare blog says the model ships with a 256K context window, multi-turn tool calling, vision, and structured outputs, and that one internal agent workload cut costs by 77% after the switch.
Together AI said on March 19, 2026 that its fine-tuning service now supports tool-call, reasoning, and vision-language workflows. The linked Together AI blog adds 100B+ parameter model support, datasets up to 100GB, up to 6x higher throughput on large MoE models, and upfront cost plus ETA estimates.
A benchmark thread on r/LocalLLaMA compared ROCm 7 nightlies and Vulkan on an AMD Mi50 for llama.cpp, arguing that Vulkan wins short dense workloads while ROCm pulls ahead on long context and some MoE scenarios.
A Hacker News discussion highlighted Flash-MoE, a pure C/Metal inference stack that streams Qwen3.5-397B-A17B from SSD and reaches interactive speeds on a 48GB M3 Max laptop.
A rerun benchmark posted to r/LocalLLaMA argues that Apple’s M5 Max shows its clearest gains on prompt processing rather than raw generation alone. The post reports 2,845 tok/s PP512 for Qwen 3.5 35B-A3B MoE and 92.2 tok/s generation, but these remain community measurements rather than independent lab benchmarks.
A Show HN post points to llm-circuit-finder, a toolkit that duplicates selected transformer layers inside GGUF models and claims sizable reasoning gains without changing weights or running fine-tuning. The strongest benchmark numbers come from the project author’s own evaluations rather than independent validation.
OpenCode drew 1,238 points and 614 comments on Hacker News, highlighting an open-source AI coding agent that spans terminal, IDE, and desktop clients. The project site emphasizes broad provider support, LSP integration, multi-session workflows, and a privacy-first posture.