Google Adds ChatGPT and Claude Import Tools to Gemini for Memory and Chat History - gHacks
<a href="https://news.google.com/rss/articles/CBMitwFBVV95cUxPQXFDQV83VEZEWDRaOU1oRDV6WkY3aTlMaU94aXBYZ1RQc3JzR1BXR09SYmhZTklpRTdWVllEZmJQb2pZVDlmMEE4MDRBamttc1hxb1N5OC1kWVU4LVE2VW9CT0lBMkF6Wkl4TzA4ZTI1TzBGdmJHUGdkc0FOQW51YXZOTHFEdkxVLWNQY3VoMnREbURxSEdHQTNZUHZmU0VLbVhwaGtoSDNrdmJvR3BFblBoLWdxbzg?oc=5" target="_blank">Google Adds ChatGPT and Claude Import Tools to Gemini for Memory and Chat History</a> <font color="#6f6f6f">gHacks</font>
Could not retrieve the full article text.
Read on Google News: Gemini →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
claudegeminichatgpt
MixtureOfAgents: Why One AI Is Worse Than Three
The Problem You send a question to GPT-4o. It answers. Sometimes brilliantly, sometimes wrong. You have no way to know which. What if you asked three models the same question and picked the best answer? That is MixtureOfAgents (MoA) — and it works. Real Test I asked 3 models: What is a nominal account (Russian banking)? Groq (Llama 3.3): Wrong. Confused with accounting. DeepSeek: Correct. Civil Code definition. Gemini: Wrong. Mixed with bookkeeping. One model = 33% chance of correct answer. Three models + judge = correct every time . The Code async function consult ( prompt , engines ) { const promises = engines . map ( eng => callEngine ( eng , prompt ) . then ( r => ({ engine : eng , response : r , ok : true })) . catch ( e => ({ engine : eng , error : e . message , ok : false })) ); ret
Why I Use Claude Code for Everything
Most Claude users split their work across three products. Chat for conversations and questions. Code for development. Cowork for task management and desktop automation. Three interfaces, three separate memory systems, three places where your context gets fragmented. I stopped doing that. I run everything through Claude Code. One interface, one memory system, full control. Here is how and why. The Problem With Splitting Your Work When you use Chat for a planning conversation, then switch to Code for implementation, then use Cowork to manage tasks, each one starts from zero. Chat does not know what you discussed in Code. Code does not know what you planned in Chat. You re-explain context every time you switch. Even within each product, memory is limited. Chat has built-in memory but it is se
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!