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With ChatGPT capturing the imaging of millions of people per daytime, its shaper OpenAI has suit ace of the most prized companies in the world with a valuation of $300 billion according to the last funding round it raises earlier in the year.
The Microsoft backed AI startup has also become one of the most coveted companies that young people want to work for. Getting a job at OpenAI does require a lot of technical background but there is also one key skill that a prospective applicant must have which a top executive revealed recently.
Nick Turley, head of ChatGPT, in a recent podcast with YouTuber Lenny Rachitsky talked about the task of working at OpenAI what the company looks forward to in each candidate interview. Turley focused about the importance of thinking from scratch given that there is ‘no analogy’ for what the AI startup is trying to build.
“Just approaching each scenario from, you know, from scratch is so important in this space because there is no analogy for what we're building.” Turley said.
Turley also noted that OpenAI cannot copy the features of Google, Instagram or any other productivity tool. He did, however, stress the importance of taking inspiration from everywhere.
“You can learn from everywhere, but you have to do it from from from scratch. And I think that's why that trait um tends to make someone effective at OpenAI and it's something we test for in our interviews, too” he added
OpenAI ships products before they are ready:
OpenAI released its latest large language model GPT-5 last week which didn't sit down well with many users especially the company's Plus subscribers.
GPT-5 is claimed to have improvements over the previous models in many areas like coding, reasoning, accuracy, healthy related questions and multi-modal abilities while encountering fewer hallucinations (making stuff up) and psycophacy (being too agreeable with users).
However, the new model was immediately criticized for not having the same the emotional depth in its responses as the previous AI models and Sam Altman had to step in to say that the OpenAI would make the model's responses ‘warmer’ after it was rolled out to all users.
Turley during his podcast did mention that OpenAI many times ships models even when they aren't fully ready while continuing to working on improving the product.
He said that the thinking from scratch approach implies that OpenAI should “ship out something raw even if it makes less sense and start learning and getting it into people's hands”
“The reason is that you're gonna be polishing the wrong things in the space. You absolutely should polish, things like the model output, etc., but you won't know what to polish until after you ship. And I think that is uniquely true in an environment where the properties of your product are emergent and not knowable um in advance” he added
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