4 entries
Keyword: google-antigravityLink:Google DeepMind
Google DeepMind has introduced Gemini 3.8 Flash, an agentic workhorse model designed for complex multi-step reasoning, coding, and knowledge tasks at low latency. The multimodal model supports a 1M token input context alongside extensive tool integration.
From Video: Weekly AI Updates: Local Models, GPT-6 Astra, and Agent Architectures
Article:Tim Fairley
Uploading full construction drawing sets into AI chats frequently causes errors or degraded accuracy due to context rot. Tim Fairley outlines two workflows to convert drawing sets into structured text beforehand, enabling AI models to query plan data efficiently and accurately.
From Video: Weekly AI Roundup: DeepSeek Harness, Model Routing, and Scaffolding Shifts
Article:Koray Kavukcuoglu, Jeff Dean, Oriol Vinyals, Noam Shazeer
Google has introduced the Gemini 3.5 model family, engineered to execute complex, agentic workflows and software development tasks. The series debuts with Gemini 3.5 Flash, offering frontier-level performance at high inference speeds, generating output tokens four times faster than competing frontier models. Alongside the release, Google detailed enterprise adoption, the upcoming Gemini 3.5 Pro, and a 24/7 personal assistant called Gemini Spark.
From Video: Weekly AI Updates: Model Releases, Prompt Tricks, and Agent Architectures
Article:Equipe do Google Gemini
Google has launched Gemini 3.1 Pro in preview, introducing significant gains in core reasoning designed to tackle complex problem-solving, coding, and agentic workflows.
From Video: Weekly AI Updates: Model Releases, Prompt Tricks, and Agent Architectures
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