GPT-5.6 Is 14× Faster… But There’s a BIG Problem

From the creator

https://bitbiased.ai/ai-automation-services OpenAI's GPT-5.6 is here — with up to 750 tokens per second, an 88.8% agentic coding score, a 1 MILLION-token context window, and new AI agents designed to do real work for you. But is GPT-5.6 actually the smartest AI model yet — or is the biggest story hiding somewhere else? In this video, I break down GPT-5.6 Sol, Terra and Luna, ChatGPT Work, Codex, OpenAI's new agent capabilities, benchmark results, pricing, and the new Ultrafast mode. We also compare GPT-5.6 against Claude, Gemini and Grok to see where OpenAI is really ahead — and where the competition still wins. Some of the numbers are huge: • Up to 750 output tokens/second • Roughly 14× faster in Ultrafast mode • 88.8% on Terminal-Bench 2.1 • 52.7 on Agents' Last Exam • 1 MILLION tokens of context • Around 1/3 the cost per task of Claude in one independent analysis • Yet only around 7.8% on ARC-AGI And there's a bigger question: can ChatGPT Work actually operate like an autonomous AI coworker, or do these agents still need a human checking everything they produce? We dig into the benchmarks, the speed claims, hallucinations, autonomous AI agents, Codex, and what GPT-5.6 means for the AI race between OpenAI, Anthropic, Google and xAI. ⏱️ CHAPTERS 00:00 GPT-5.6: What You Need to Know 01:25 What Actually Shipped 03:09 Where the Real Gains Show Up 04:30 The Number Nobody's Talking About 05:57 From Chatbot to Coworker 07:14 How Autonomous Is It, Really? 08:33 The Need for Speed 09:49 Where This Leaves Everyone Else 11:48 The Verdict What do you think: would you trust an AI agent to complete real work without checking it first? Subscribe for more AI news, model comparisons, benchmarks and practical breakdowns of what's actually changing in artificial intelligence. #gpt56 #chatgpt #openai

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Makers residency 4th edition
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Makers residency 4th edition
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