Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 357: OpenAI o1 released: 5 things to know about ChatGPT’s new model


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OpenAI just shocked us all with the release of its o1 model, previously codenamed as Strawberry and Q* We break down what's new, 5 things you need to know and more! 

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Topics Covered in This Episode:

  • Introducing OpenAI's New Model: O1 Preview
  • O1 Preview: Chain of Thought Reasoning
  • Comparison: GPT-4 and O1 Preview Performance
  • Anticipated Frequent Language Model Updates
  • OpenAI O1: Features, Limitations, and Pricing
  • User Experience Concerns with O1 Series
  • Benchmark Performance: O1 Surpassing PhDs
  • The Current and Future State of AI
  • Practical Testing of Large Language Models
  • Real-Time Application of AI Models
  • AGI and Chain of Thought in AI Evolution
  • Exclusivity of O1 Preview to ChatGPT Accounts
  • O1 Preview: Shift in AI Approach to Problem-Solving
  • Live Testing Demonstrations on Podcast
  • Regulation Needs for Safe AI Development.



Timestamps:
00:00 Everyday AI: Learn generative AI for growth.

03:46 Free, Plus, Teams, Enterprise accounts available soon.

07:50 GPT tech simplifies skilled tasks with agentic workflow.

10:51 OpenAI creates two distinct series for GPT.

13:10 Expensive and limited OpenAI's API preview.

18:06 MMLU: Multitask language understanding benchmark for AI.

21:14 Anthropic raised $4B; OpenAI holds back GPT-4.5.

22:40 Corporate revenues mainly from subscriptions and APIs.

26:39 Man and dog cross in one trip.

29:41 Many correct answers exist, including 153.

32:24 Large language models struggle with this question.

35:47 Future: Many small companies, fewer traditional jobs.

38:34 Q Star impressive, expensive, limited, large model updates.


Keywords:

OpenAI, o1 series, AGI, Artificial General Intelligence, GPT-4, ChatGPT Plus, ChatGPT Teams, ChatGPT Enterprise, EDU accounts, API access, reasoning-based model, large language models, everydayai.com, numerical code, word count task, world hunger plan, Anthropic, Google, Meta, performance benchmarks, MMLU, subscription costs, message limits, user experience, AI development, AI regulation, real-time tests, agentic processing, code-named Q Star Strawberry, prompt engineering

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