A collection of 11 posts
Google's Gemini 3.5 Live Translate is a new audio model for continuous speech-to-speech translation in 70+ languages. Here's how it works, where it ships, and how to build with it.
Gemini 3.5 Pro was announced at Google I/O 2026 with a June general-availability target. Here's what's confirmed, what's likely, and how to prepare your stack.
Google dropped Gemini 3.5 Flash and Gemini Spark at I/O 2026. A frontier-grade Flash model that outruns 3.1 Pro, and a persistent personal agent built on top of it. Here's what shipped, what's rumored, and where it fits next to Claude Opus 4.7 and GPT-5.5.
Quick answer. Gemini CLI is Google’s open-source terminal AI agent. Install it with npm install -g @google/gemini-cli on Node 20+, run gemini, and sign in with your Google account in the browser. The free tier covers 60 requests per minute and 1,000 per day with Gemini 2.
Is Gemini 3.5 Pro or Flash released? As of May 19, 2026 it is not officially announced. Here is what is real vs rumored, and what to run today.
The 2026 head-to-head: Grok 4.3 vs Claude Opus 4.7 vs Gemini 2.5 Pro on SWE-bench, LiveCodeBench, pricing, real coding workflows, IDE harnesses, and a clear pick-by-job-to-be-done framework.
Gemini CLI vs Claude Code in May 2026: open source vs proprietary, free 1,000 req/day vs $20/mo, SWE-bench scores, install, multimodal workflows, and a clear decision framework.
Compare Muse Spark, ChatGPT 5.4, Claude Opus 4.6, and Gemini 3.1 Pro on features, benchmarks, pricing, and real-world use.
Qwen3.5 Omni Plus guide with setup steps, real benchmarks, pricing, and comparisons vs GPT‑4o and Gemini 3.1 Pro.
Quick answer. o3 remains a strong reasoning-tier coder for math-heavy work but is now mid-tier in 2026 — GPT-5 (74.9% SWE-bench Verified) and GPT-5.5 (58.6% SWE-Bench Pro) clearly lead. Gemini 2.5 is best for long-context refactors; o4-mini is the cheap, fast pick for boilerplate. Reach for o3
In the rapidly evolving landscape of artificial intelligence, two giants have unveiled their latest large language models (LLMs), each pushing the boundaries of natural language understanding, reasoning, and multimodal capabilities. Meta’s Llama 4 and Google’s Gemini 2.5 Pro represent major leaps forward, delivering new features and performance