36 related articles

Google's packed AI week: Gemini 3.5 Live Translate, NotebookLM agentic upgrades, DiffusionGemma text diffusion, and Project Genie. A full breakdown of Google's latest AI moves.

Google releases Gemini 3.5 Live Translate, a real-time audio translation model supporting multilingual low-latency speech translation. A deep dive into its tech, use cases, and industry impact.

Google launches Gemini 3.5 Live Translate, a speech-to-speech translation model supporting 70+ languages. Learn about its end-to-end architecture, Grab partnership, and developer access via Live API.

Google rolls out upgraded 3.6 Flash and 3.5 Flash-Lite models. Learn about the Flash series' positioning, upgrade highlights, and value for developers.

A creator spent 40 days and 80 billion tokens testing the real limits of Vibe Coding. This article dissects why AI programming crashes in production: complexity, context limits, and compression loss.

Vibe Coding is a new AI-era programming paradigm — just express your intent and let AI write the code. Learn what it is, why it matters, and how to get started from scratch.

Reddit users report Gemini feeling "worse over time." This deep dive explains the real causes—silent updates, safety over-alignment, and compute throttling—plus how to rationally evaluate AI model performance.

Google rolls out deep Workspace integration for Gemini Spark across Gmail, Docs, and Sheets, while previewing upcoming AI Pro access — intensifying its rivalry with Microsoft Copilot.

Naval Ravikant says Vibe Coding lets one person do the work of 8 engineers. Learn what Vibe Coding is, which tools work in China, and how to start in 3 steps.

Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.

As Vibe Coding rises, many developers can't write code without AI. We break down the risks, whether traditional coding skills still matter, and how to rebuild them.
Meta Muse Spark 1.1 Released: A Deep D…
Meta officially releases Muse Spark 1.1, the first model in the Spark series to offer an API, with a focus on strengthening agentic tool calling and computer use capabilities.

A Reddit user tested GPT-5.6 Sol with a single prompt. In the Row-Bot framework, the model built a 3D interactive London website in 5 minutes—complete with browser verification and vision analysis. A deep dive into AI coding Agents.

Meta laid off 8,000 to bet on AI, yet Zuckerberg admits AI agents fell short of expectations. A look at the collective 'AI reflection' among OpenAI, Microsoft, and Google, plus research on AI's selective impact on jobs.

Docx-CLI is an open-source CLI tool for AI agents that strips redundant XML and enables precise editing, helping LLM agents save half the tokens and time on Word docs.

GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.

Deep dive into DeepSeek-V4: 1.6T-parameter MoE, CSA+HCA hybrid attention, MHC & MUON optimizer. Inference FLOPs drop to 27% of V3.2, redefining open-source LLM SOTA.

GLM-5.2 spotted in testing, Anthropic launches Claude Fable 5, Moore Threads open-sources MusaCoder for domestic GPUs, and Google releases Gemini real-time translation.

Sam Altman revealed GPT-5.6 boosts token efficiency 54% in agentic coding — meaning near-halved API costs, longer work chains, and faster responses. A deep dive into the technical implications for developers.

An in-depth analysis of the four core roles of AI Agent system prompts and the four-step tool-calling method, covering behavioral boundaries, autonomous execution principles, and trigger pattern design—helping Rust developers build high-quality agents.