Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT</a> <font color="#6f6f6f">WSJ</font>
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productchatgpt![[D] ML researcher looking to switch to a product company.](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-wave-pattern-4YWNKzoeu65vYpqRKWMiWf.webp)
[D] ML researcher looking to switch to a product company.
Hey, I am an AI researcher currently working in a deep tech company as a data scientist. Prior to this, I was doing my PhD. My current role involves working ok physics related problems and the project life cycle could be 2-4 years and the change comes in my company very slowly. The problems are quite interesting but because of the slow pace of development, I find myself getting often frustrated. As a byproduct, I don’t think that I am learning as much as I can. Because of these reasons, I want to move to a company where the development cycles are short and you have the flexibility to iterate and test quickly. Ideally a company which directly interacts with customers, like uber. The problem I am facing is that in the interview processes, a lot of these companies require you to have a lot of
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trunk/83e9e15421782cf018dae04969a387901ba8ec1b: Fix Python refcounting bugs in profiler_python.cpp (#179285)
Use Py_XNewRef with PyDict_GetItemString to properly convert borrowed refs to strong refs owned by THPObjectPtr (fixes leak on 3.13+ where the Py_INCREF was applied to an already-owned ref from PyMapping_GetItemString, and fixes potential NULL deref on Add Py_NewRef for Py_None passed to PyTuple_SetItem (which steals refs) Wrap PyObject_Call results in THPObjectPtr to avoid leaking return values Use PyObject_CallOneArg instead of PyTuple_Pack + PyObject_Call Clear exception from PySequence_Index when gc callback not found Remove unused thread_state_ member from ThreadLocalResults Authored with Claude. Pull Request resolved: #179285 Approved by: https://github.com/Skylion007
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