The edition highlights a proof of the KLS conjecture and a new method, APEC, that reduces coding agent processing costs by up to 25.4%.
The framework now supports third-party server models like Claude and Gemini via a unified Swift API, and introduces Dynamic Profiles for adaptive agent sessions.
The new tools include Character Poster, Character Arc, Pixel Machine, Lucid Glass, and Pocket Studio, which are available in the Google Flow studio today.
Amplitude's Wave agent drove a 160% lift in card-driven sends on its homepage by personalizing suggestion cards using session data.
The new kernel leverages native matrix core shapes and SLM architecture, delivering significant speedups on ARL-H, PTL-H, and B70 Pro platforms.
ForgePtr and NvRoot allow unprivileged processes to gain root access and modify read-only files on the host, compromising GPU container isolation.
The experimental preview models use reserved special tokens to separate instructions from data, achieving higher robustness against prompt injections without sacrificing general benchmark performance.
The tool replaces names, emails, and financial data with local tokens before sending requests to the model.
The model achieves 80+ tokens/s decoding and 29GB peak memory usage on compatible laptops, outperforming several cloud models on coding and reasoning benchmarks.
Priced at $1.50 per million input tokens, the model targets speed and efficiency for daily coding tasks, distinguishing it from the frontier-focused Gemini 4 Carbon and Argon.
A guard blocking checkout until agents read pending messages recovered 73.1% of failed episodes for Opus 5, compared to 45.5% from simple reruns.
Users can access Gemini via a side panel in the Chrome toolbar to summarize reports or explain topics while staying on the current page.
The 2026 cohort includes researchers in 38 countries working on health, inclusive systems, and computer hardware.
The partnership aims to replant forests with diverse, heat-tolerant specimens after populations dwindled to 5% of historic numbers.
PyTorch's Helion now uses compile-time heuristics to select fast kernel configurations without autotuning, achieving 1.18x speedup over Flash Linear Attention and 1.88x over torch.compile for matmuls on H100.
The new features use Link and Visa for secure purchases and Google for ad management, with Agentic Commerce available to US Core and Pro users and Agentic Ads available worldwide to Pro users.
The update allows running Row-Bot in the browser via Railway, adds 12 new API providers, and optimizes Claude Code to use prompt caching for full 1M context on Opus, Sonnet, and Haiku 5.5.
The method uses a repeatable cycle of proposing, testing, and learning to fix agent behaviors without breaking existing functionality.
A preregistered study of 29,682 episodes shows that a single difficult interaction reduces subsequent helpfulness in all three tested models, with the effect being significantly larger in Claude Haiku 5.5 than in GPT-6 Luna or Gemini 3.5 Flash-Lite.
The 30-hour proof used about a third of the action tokens and was roughly 7x shorter than the 11-day September run.
The cybersecurity leader and AISLE co-founder joins to build the world's most trusted platform for sovereign AI.
New CUDA mat-mul kernel for 2-24 src1 columns improves speculative decoding performance by 10.1% to 34.9% across tested NVIDIA GPUs.
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