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Google Antigravity: Is the Agent-First IDE Worth It in 2026?

Google Antigravity is a VS Code fork built around autonomous agents, with a Manager View that dispatches up to five parallel agents and a built-in Chrome browser for front-end verification. Gemini is the default model, with Claude and GPT supported. Strengths are parallel-agent workflow and browser verification; weaknesses are shifting credit-based pricing, a five-agent cap, and a closed-source core. The verdict: a strong secondary tool, especially for front-end and Gemini-centric workflows.

Aug 4, 2026 · 5 min read
AI News

Gemini 3.5 Flash: The Flash Model That Beats Google's Own Pro Tier

Google released Gemini 3.5 Flash on May 19, 2026, at Google I/O. The Flash-tier model beats Gemini 3.1 Pro on coding and agentic benchmarks (76.2% Terminal-Bench 2.1, 83.6% MCP Atlas, 1656 GDPval-AA Elo) while running 4x faster and costing $1.50/$9 per 1M tokens, 40% below 3.1 Pro. It trails Pro on academic reasoning (Humanity's Last Exam, ARC-AGI-2) and dense long-context recall. It powers Gemini Spark, Antigravity 2.0, and is now the default model for the Gemini app and AI Mode in Search.

Jul 7, 2026 · 5 min read
AI News

Apple Siri: Why Apple Is Paying Google $1B for Gemini

At WWDC 2026, Apple unveiled a rebuilt Siri powered by a custom, Apple-tuned Google Gemini model—reportedly a 1.2-trillion-parameter mixture-of-experts system costing roughly $1 billion a year. On-device Apple Silicon models handle quick private tasks, while complex reasoning routes to the Gemini model inside Apple's Private Cloud Compute, with a contract barring Google from training on Apple user data.

Jun 11, 2026 · 5 min read
AI News

Gemma 4 12B: Google's Encoder-Free Multimodal Laptop Model

Google released Gemma 4 12B on June 3, 2026, a multimodal open model with an encoder-free architecture that feeds vision and audio directly into the LLM backbone. It runs locally on 16GB of memory, approaches the 26B MoE on benchmarks, uses Multi-Token Prediction drafters for low latency, and ships under Apache 2.0 with broad tooling support.

Jun 9, 2026 · 5 min read
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