Campaigns focused on a single feature drove 25% of desktop visits to new accounts, with trials starting August 28-September 12, 2026.
The new suite uses internal analytics and surveys to provide granular visibility into team output, costs, and workflow friction, with data excluded from model training by default.
The preview allows users to send texts, photos, and voice memos to their agents, which can proactively reply with task updates.
The benchmark tests agents building 17 products from scratch, with top models failing on feature intersections and schema errors.
The new model features M5 Pro and M5 Max chips, a 10,000,000:1 contrast ratio display, and starts at $2,899.
The system uses high-fidelity production replay and parallel sub-agents to diagnose bottlenecks and test speculative decoding, quantization, and scheduling changes.
The feature allows users to explore topics layer-by-layer, from microscopic systems to deep space, with audio narration coming soon.
A study on GPT-OSS-20B shows that a fixed generic feedback line yields the same ~3-point performance gain as self-written critiques in multi-step financial reasoning.
Google confirmed a technical gap in its AI Mode that prevented it from providing direct answers for the 2020 presidential election and 2022 Senate races, an issue the company is currently fixing.
Adding an evidence graph to the OpenWiki memory layer improved accuracy by 27% and cut cost per correct answer by 58%.
The new platform lets developers build once to reach users in both Search and the Gemini app, with initial partners including Adobe, Calm, and Peloton.
The model ranks #1 on the Artificial Analysis Intelligence Index v5.0 at 59 and leads in vulnerability detection with 88.2% on SEC-bench Pro.
The harness, which powers GitHub Copilot and VS Code, supports 20+ frontier models and is built by the GitHub engineering team.
The 1B OCR model runs locally on mobile devices while the 2B verifier model checks output accuracy against original images.
GitHub Enterprise customers can now access all Copilot features without a separate subscription, while Copilot Fusion achieves high performance at 40% less time per task.
GitHub reports 225 million developers and 17.9 billion pushes in 2026, with agent-started pull requests increasing from 17% to over 40% of all PRs.
The new architecture uses a Mixture-of-Experts model and fused GPU kernels to deliver near-ranking-level performance at 300x fewer FLOPs than the 2024 system.
Replit details the Agent Habitat architecture, which enforces least-privilege access, MicroVM isolation, and centralized credential management to protect enterprise systems from agent vulnerabilities.
The laptops start at $2,599 and feature a Blackwell RTX GPU and Grace CPU superchip with up to 1 petaflop of FP4 AI performance.
The demonstration vehicle achieves 1.2 dB insertion loss and 40 dB cross talk without amplification, with commercial products expected in coming months.
Open-weight model supports 40 languages and speaker diarization, with a 30B parameter architecture using 4B active parameters per token.
The model features a 50M parameter denoiser and generates images in 11 seconds at 20 steps on an Intel i5 7200U.
The app, launched on iOS and Android in the Philippines, lets users hatch a virtual pet that listens to voice or text entries and writes journal notes with doodles.
The optimization achieves 5.7% to 6.1% gains on RTX 5090 for Qwen3 and Qwen3.6 models.
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