864 summarised stories in Tools & Coding, each linking back to the original source. Browse all topics →
OpenAI Blog 6 months ago 26 ● 2 sources
Codex released an App Server that uses a bidirectional JSON-RPC API to embed the Codex agent into applications. The API supports streaming progress updates, tool execution, approval workflows, and diff visualization. Developers can now integrate Codex agents directly into their own applications with standardized communication protocols.
Hugging Face Blog 6 months ago 16
Hugging Face launched a decentralized evaluation system where benchmark datasets can host leaderboards and any community member can submit model evaluation results via pull requests. The initial rollout includes four benchmarks—MMLU-Pro, GPQA, and HLE among them—with results stored as YAML files in model repositories and aggregated automatically across the Hub. This creates a transparent record of evaluation sources and methodology, allowing the community to track and build upon scores rather than relying on conflicting reports from papers and closed platforms.
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5 August 2026
The infrastructure battle over how to efficiently run AI models just tilted decisively toward modularity. NVIDIA's new Rubin GPU, announced this week, includes dependency triggers—hardware features that dynamically manage computation sequences—effectively making the megakernel approach less necessary. Megakernels, hand-fused GPU kernels designed to squeeze out performance by reducing launch overhead, were once central to inference optimization. But they proved brittle: each new model required rewriting fused operations, and the complexity made them impractical at scale. Production systems at Meta, OpenAI, and major inference providers have largely abandoned them for modular stacks like TensorRT-LLM, which optimize individual components and compose them flexibly. Yet Cursor's open-source Mixture of Kittens megakernel just demonstrated a 41% increase in tokens per second, keeping the debate technically alive. What matters is the industrial shift: as hardware gets smarter about hiding latency through dependency management and as companies standardize on composable building blocks, the megakernel thesis weakens. The pattern mirrors broader infrastructure trends—monolithic optimizations give way to layered systems that are easier to reason about, maintain, and parallelize. This is less exciting than a performance breakthrough, but it's how software actually scales.
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